Use
of Services: Discharges and Average Length of Stay—Maternity
Care
No changes to this measure.
Description
This measure determines utilization of maternity-related care for enrolled females who had live births during the measurement year, reported for total deliveries, vaginal deliveries and Cesarean section (C-section) deliveries.
Calculations
Product lines |
Commercial: Construct Tables MAT-2 and MAT-2E using Table MAT-2 as a template. Report discharges, discharges/1,000 members per year, days, days/1,000 members per year and average length of stay (ALOS) for female members in the product line group that each table addresses. Medicaid: Construct Tables MAT-1A through MAT-1D using Table MAT-1 as a template. Report discharges, discharges/1,000 member months, days, days/1,000 member months and ALOS for female members in the Medicaid eligibility category that each table addresses. |
Member months |
Report all female member months for the measurement year for members with a medical benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Discharges |
Refer to Specific Instructions for Use of Services Tables and the codes listed in Tables MAT-A and MAT-B to report discharges for maternity care. |
Days |
Refer to Specific Instructions for Use of Services Tables and the codes listed in Tables MAT-A and MAT-B to report days for maternity care. Birthing center deliveries are counted as one day of stay. |
ALOS |
Refer to Specific Instructions for Use of Services Tables and the codes listed in Tables MAT-A and MAT-B to report ALOS for maternity care. In calculating the length of stay, both pre-delivery and post-delivery days are included. |
Total deliveries |
Identify all live births delivered in an inpatient setting and at birthing centers. The sum of C-sections and vaginal deliveries should equal the total deliveries. At-home deliveries are not counted in this measure. Count multiple births (e.g., twins, triplets) as one delivery. Refer to Tables PPC-A and PPC-B. |
C-section deliveries |
Identify all C-section delivery live births delivered in an inpatient setting and at birthing centers. From the total deliveries identified above, use the codes in Table MAT-A to identify C-sections. Count multiple births as one delivery. |
CPT |
ICD-9-CM Procedure |
DRG |
59510, 59514, 59515, 59618, 59620, 59622 |
74.0-74.2, 74.4, 74.99 |
370-371 |
OR |
||
An equivalent method used by the MCO to identify C-sections. The MCO must document the method, including codes used, for identifying C-sections. |
Vaginal deliveries |
Identify all vaginal delivery live births delivered in an inpatient setting and at birthing centers. Count multiple births as one delivery. At-home deliveries do not count in this measure. To identify vaginal deliveries, use DRGs or CPT codes with an appropriate ICD-9-CM Diagnosis code. The MCO may also use an equivalent method such as calculating the residual deliveries left after C-sections are removed from total deliveries. Residual category = (total deliveries – C-sections). |
CPT |
ICD-9-CM Diagnosis |
ICD-9-CM Procedure |
DRG |
59400, 59409, 59410, 59610, 59612, 59614 |
650 |
72.0-73.99* |
372-375 |
OR |
|||
An equivalent method used by the MCO to identify vaginal deliveries. The MCO must document the method, including codes used, for identifying vaginal deliveries. |
*These codes may also appear for women who had a C-section delivery. If the woman has a code for both vaginal and C-section delivery (Table MAT-A), the plan should only count the c-section.
Age |
Female Member Months |
10-14 |
______________ |
15-19 |
______________ |
20-34 |
______________ |
35-49 |
______________ |
50+ |
______________ |
Unknown |
______________ |
Total: |
______________ |
Age |
Discharges |
Discharges/1,000 Female Member Months |
Days |
Days/1,000 Female Member Months |
Average Length of Stay |
|
Total Deliveries |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Vaginal Deliveries: Live Births |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
C-Section Deliveries: Live Births |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
____________ |
_____________ |
_____________ |
____________ |
Age |
Female Member Months |
10-14 |
______________ |
15-19 |
______________ |
20-34 |
______________ |
35-49 |
______________ |
50+ |
______________ |
Unknown |
______________ |
Total: |
______________ |
Age |
Discharges |
Discharges/1,000 Female Member Years |
Days |
Days/1,000 Female Member Years |
Average Length of Stay |
|
Total Deliveries |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Vaginal Deliveries: Live Births |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
C-Section Deliveries: Live Births |
||||||
10-14 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
15-19 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
20-34 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
35-49 |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
50+ |
_____________ |
_____________ |
_____________ |
_____________ |
____________ |
|
Unknown |
_____________ |
|
_____________ |
|
____________ |
|
Total: |
_____________ |
____________ |
_____________ |
_____________ |
____________ |
No changes to this measure.
Description
This measure summarizes utilization information about newborns discharged during the measurement year and reports information for total newborns, well newborns and complex newborns.
Newborns are identified and reported separately from maternity members. Newborn care is care provided from birth to discharge to home. If a newborn is transferred from one hospital to another and has never gone home, the care is still newborn care. Newborn care that is rendered after the baby has been discharged should be reported in Table IPU-A (Inpatient Utilization—General Hospital/Acute Care).
Include newborns delivered in an inpatient setting and at birthing centers. For newborns delivered in birthing centers, count one day of stay.
Some MCOs do not keep separate records on well newborns who leave the hospital at the same time as their mothers. The MCO must develop a methodology to estimate the number of well newborns for whom the MCO does not produce separate discharge records; for example, the mother’s length of stay can be used as a proxy for the well newborn’s length of stay. The MCO must provide documentation for the approach used.
Calculations
Product lines |
Medicaid: Construct Tables NEW-1A through NEW-1D using Table NEW-1 as a template. Report the total number of newborns; newborns/1,000 female member months; discharges; newborn discharges/1,000 member months; days; days/1,000 member months; and ALOS. Stratify by maternal age into total newborns (any maternal age); 10–49 years; Other (0–9, 50+ and unknown age). Commercial: Construct Tables NEW-2 and NEW-2E using Table NEW-2 as a template. Report the total number of newborns; newborns/1,000 female member years; discharges; newborn discharges/1,000 member years; days, days/1,000 member years; and ALOS. Stratify by maternal age into total newborns (any maternal age); 10–49 years; Other (0–9, 50+ and unknown age). |
Member months |
Report all member months for the measurement year for members with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Discharges |
Refer to Specific Instructions for Use of Services Tables and the codes listed below to report discharges for newborn care. |
Days |
Refer to Specific Instructions for Use of Services Tables and the codes listed to report days for newborn care. Count all days associated with the listed discharges. |
ALOS |
Refer to Specific Instructions for Use of Services Tables and the codes listed below to report the ALOS for newborn care. |
Total newborns |
Include all covered babies, whether or not their mothers were members of the MCO. The MCO should exclude all stillbirths. |
ICD-9-CM Diagnosis |
DRG |
V30-V39 |
385-391 |
Complex newborns |
Newborns are defined as complex if:
|
Note: Expired newborns are those with a patient status code (Form Locator 22) equal to 20–29.
Well newborns |
Newborns who are not defined as complex and have an LOS of less than five days. |
Note: Under no circumstances should a newborn be counted more than once. |
Member Months |
|
Total
member months |
Total
female member months |
|
Newborn Discharges |
Newborn Discharges/ 1,000 Female Member Months (10-49) |
Newborn Discharges/ 1,000 Member Months (Males and Females) |
Newborn Days |
Newborn Days/1,000 Member Months (Males and Females) |
Average Length of Stay |
Total Newborns |
||||||
Total newborns |
|
|
|
|
|
|
10-49 years |
_________ |
___________ |
|
________ |
|
_________ |
Other* |
_________ |
|
|
________ |
|
_________ |
Total Well Newborns |
||||||
Total well newborns |
|
|
|
|
|
|
10-49 years |
_________ |
___________ |
|
________ |
|
_________ |
Other* |
_________ |
|
|
________ |
|
_________ |
Total Complex Newborns |
||||||
Total complex newborns |
|
|
|
|
|
|
10-49 years |
_________ |
___________ |
|
________ |
|
_________ |
Other* |
_________ |
|
|
________ |
|
_________ |
* “Other” includes female members ages 0–9 years, 50+ years and unknown age. Include all covered babies born to mothers who are not members of the MCO.
Member Months |
|
Total
member months |
Total
female member months |
|
Newborn Discharges |
Newborn Discharges/ 1,000 Female Member Years (10-49) |
Newborn Discharges/ 1,000 Member Years (Males and Females) |
Newborn Days |
Newborn Days/1,000 Member Years (Males and Females) |
Average Length of Stay |
Total Newborns |
||||||
Total newborns |
|
|
|
|
|
|
10-49 years |
__________ |
___________ |
|
________ |
|
_________ |
Other* |
__________ |
|
|
________ |
|
_________ |
Total Well Newborns |
||||||
Total well newborns |
|
|
|
|
|
|
10-49 years |
__________ |
___________ |
|
________ |
|
_________ |
Other* |
__________ |
|
|
________ |
|
_________ |
Total Complex Newborns |
||||||
Total complex newborns |
|
|
|
|
|
|
10-49 years |
__________ |
___________ |
|
________ |
|
_________ |
Other* |
__________ |
|
|
________ |
|
_________ |
* “Other” includes female members ages 0–9 years, 50+ years and unknown age. Include all covered babies born to mothers who are not members of the MCO.
No changes to this measure.
Description
This measure summarizes utilization of inpatient mental health services, stratified by age and sex.
Calculations
Product lines |
Medicaid: Construct Tables MIP-1A–MIP-1D using Table MIP-1 as a template. Report discharges; discharges/1,000 member months; days; and ALOS for members in the Medicaid eligibility category that each table addresses. Commercial and Medicare: Construct Tables MIP-2, MIP-2E and MIP-3 using Table MIP-2/3 as a template. Report discharges; discharges/1,000 member years; days; and ALOS for members in the product line that the table addresses. |
Benefit |
Mental health (inpatient). |
Member months |
Report member months for the measurement year for members with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Inpatient discharges |
Include inpatient care with mental health as the principal diagnosis, at either a hospital or a treatment facility. Refer to Specific Instructions for Use of Services Tables and the codes listed in Table MIP-A to report discharges for inpatient mental health care. Do not count inpatient services discharges with ICD-9-CM principal diagnosis codes of 317–319. |
Days |
Count all days associated with the reported discharges. Include days associated with residential care and rehabilitation. Exclude days associated with intermediate care or partial hospitalization. Refer to Specific Instructions for Use of Services Tables to report days for inpatient mental health care. |
ALOS |
Refer to Specific Instructions for Use of Services Tables to report ALOS for inpatient mental health care. |
ICD-9-CM Principal Diagnosis |
DRG |
290, 293-302, 306-316 |
424-432 except discharges with ICD-9-CM principal diagnosis of 317-319 |
Note: DSM-IV codes mirror ICD-9-CM codes. An MCO that has access to DSM-IV codes only should use and document them. Follow the specifications outlined above for ICD-9-CM codes.
Member Months |
|||
Age |
Male |
Female |
Total |
0-12 |
_________ |
_________ |
_________ |
13-17 |
_________ |
_________ |
_________ |
18-64 |
_________ |
_________ |
_________ |
65+ |
_________ |
_________ |
_________ |
Unknown |
_________ |
_________ |
_________ |
Total: |
_________ |
_________ |
_________ |
Age |
Sex |
Discharges |
Discharges/1,000 Member Months |
Days |
Average
Length |
0-12 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
13-17 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
18-64 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
65+ |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Unknown |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
Member Months |
|||
Age |
Male |
Female |
Total |
0-12 |
_________ |
_________ |
_________ |
13-17 |
_________ |
_________ |
_________ |
18-64 |
_________ |
_________ |
_________ |
65+ |
_________ |
_________ |
_________ |
Unknown |
_________ |
_________ |
_________ |
Total: |
_________ |
_________ |
_________ |
Age |
Sex |
Discharges |
Discharges/1,000 Member Years |
Days |
Average
Length |
0-12 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
13-17 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
18-64 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
65+ |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Unknown |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
Added HCPCS codes to Table MPT-A.
Description
This measure gives an overview of the extent to which different levels of mental health services are utilized. It summarizes the number and percentage of members receiving the following during the measurement year.
Any mental health services (includes inpatient, intermediate or ambulatory)
Inpatient mental health services
Intermediate mental health services
Ambulatory mental health services
Report in each category the number of members who received the respective service. For enrollees with a mental health benefit, report the percentage who received the respective service by age and sex.
Calculations
Product lines |
Commercial, Medicaid, Medicare. Construct Tables MPT-1A through MPT-1D, MPT-2, MPT-2E and MPT-3 using Table MPT as a template. Report the number and rate per 1,000 member years of MCO members in the product lines/eligibility group that each table addresses who receive any mental health services, inpatient, intermediate or ambulatory mental health services. Count members who received inpatient, intermediate and ambulatory mental health services in each column. Count members only once in each column, regardless of number of visits. Count members in the “Any Mental Health Services” column only if they had at least one inpatient, intermediate or ambulatory visit during the measurement year. For members who have had more than one encounter, count in each column the first visit in the measurement year and report the member in the respective age category as of the date of discharge. |
Benefit |
Mental health. |
Member months |
Report all member months during the measurement year for members with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Inpatient |
Include inpatient care with mental health diagnoses at either a hospital or a treatment facility. Refer to the Mental Health Utilization—Inpatient Discharges and Average Length of Stay measure to identify inpatient mental health services. |
Intermediate care |
Use CPT code ranges in conjunction with ICD-9-CM codes to separate mental health and chemical dependency, and report only mental health services. ICD-9-CM codes should be consistent with those used to capture inpatient discharges. Use the principal diagnosis code reported on the claim, regardless of overlapping MH/CD problems in an individual case. Count services provided by non-physician practitioners the same as those provided by physicians. Include all other ambulatory care MH/CD service day treatment and partial hospitalization programs, because these programs represent a significant amount of services rendered. These services could be represented by Level II HCPCS codes. They are reported under intermediate care, separate from ambulatory services. Exclude any utilization the MCO knows is designated as inpatient from the Type of Bill code that refers to location of service. Count the CPT and HCPCS codes listed in Table MPT-A only if they appear in conjunction with a listed ICD-9-CM Diagnosis code. |
CPT |
HCPCS |
90801, 90802, 90804-90819, 90821-90824, 90826-90829, 90845, 90847, 90849, 90853, 90857, 90862, 90870-90871, 90875, 90876, 99201-99205*, 99211-99215*, 99217-99219*, 99220*, 99241-99245*, 99281-99285*, 99341-99345*, 99347-99350*, 99381-99387*, 99391-99397*, 99401-99404*, 99420* |
G0155, G0176, G0177, H0002, H0004, H0031, H0034-H0037, H0039, H0040, H2000, H2001, H2010-H2020, M0064, S9480, S9484, S9485 |
WITH
ICD-9-CM Diagnosis |
290, 293-302, 306-316 |
* All services with CPT E&M codes must be with a mental health practitioner. MCOs should refer to Appendix 3 for the definition of mental health practitioners.
|
Separate the procedure codes identified in conjunction with the ICD-9-CM codes into intermediate care using the appropriate codes listed in Table MPT-B. |
Ambulatory |
Count ambulatory services delivered in any setting (e.g., hospital outpatient clinic, physician’s office) in Tables MPT-B and MPT-1/2/3. The MCO may use Revenue and Type of Bill codes to separate ambulatory from inpatient services if data from the UB-92 are used. Report as ambulatory services observation stays and emergency department visits with a principal diagnosis of mental health that do not result in an inpatient stay. To identify ambulatory services, repeat the identification of members using the procedure and ICD-9 codes under intermediate care, and separate ambulatory services using the appropriate codes listed in Table MPT-B. |
Intermediate UB-92 Revenue |
OR |
Ambulatory UB-92 Revenue |
OR |
Ambulatory POS |
0905, 0907, 0912, 0913 |
045x, 0510, 0513, 0515-0517, 0519-0523, 0526, 0529, 0762, 0900-0903, 0909-0911, 0914-0916, 0918, 0919, 0961 |
11, 12, 22, 23, 49, 50, 53, 57, 71 or 72 |
||
WITH |
WITH |
|||
UB-92 Type of Bill |
UB-92 Type of Bill |
|||
13x or 43x |
13x or 43x |
Note: Because some MCOs may offer different benefits for inpatient and outpatient mental health services, denominators in the columns of this table may vary. The denominator in the column “any mental health services” should include all enrollees who have any mental health benefit.
Member Months (Any) |
Member Months (Inpatient) |
||||||
Age |
Male |
Female |
Total |
Male |
Female |
Total |
|
0-12 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
13-17 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
18-64 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
65+ |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Unknown |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Total: |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
|
|||||||
Member Months (Intermediate) |
Member Months (Ambulatory) |
||||||
Age |
Male |
Female |
Total |
Male |
Female |
Total |
|
0-12 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
13-17 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
18-64 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
65+ |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Unknown |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Total: |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
Age |
Sex |
Any Mental Health Services |
Inpatient Mental Health Services |
Intermediate Mental Health Services |
Ambulatory Mental Health Services |
||||
Number |
Percent |
Number |
Percent |
Number |
Percent |
Number |
Percent |
||
0-12 |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
13-17 |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
18-64 |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
65+ |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Unknown |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total |
Male |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
Female |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
|
Total: |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
______ |
No changes to this measure.
Description
This measure summarizes utilization of inpatient chemical dependency services, stratified by age and sex.
Calculations
Product lines |
Medicaid: Construct Tables CIP-1A through CIP-1D using Table CIP-1 as a template. Report discharges; discharges/1,000 member months; days; and ALOS for members in the Medicaid eligibility category that each table addresses. Commercial and Medicare: Construct Tables CIP-2, CIP-2E and CIP-3 using Table CIP-2/3 as a template. Report discharges; discharges/1,000 member years, days; and ALOS for members in the product line that each table addresses. |
Benefit |
Chemical dependency (inpatient). |
Member months |
Report all member months for the measurement year with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Inpatient discharges |
Include inpatient care with chemical dependency as the principal diagnosis, including detoxification, at either a hospital or a treatment facility. Refer to Specific Instructions for Use of Services Tables and the codes listed in Table CIP-A to report discharges for inpatient chemical dependency care. |
Days |
Count all days associated with the reported discharges. Include days associated with residential care and rehabilitation. Exclude days associated with intermediate care or partial hospitalization. Refer to Specific Instructions for Use of Services Tables to report days for inpatient chemical dependency care. |
ALOS |
Refer to the instructions for Use of Services Tables for calculating ALOS. |
ICD-9-CM Principal Diagnosis |
DRG |
291-292, 303-305, 960-979 with a secondary diagnosis of chemical dependency* |
433, 521-523 |
* Claims or encounters with principal diagnoses of 960-979 without a secondary diagnosis substantiating chemical dependency should be reported in Table IPU-A (General Hospital/Acute Care).
Note: DSM-IV codes mirror ICD-9-CM codes. An MCO that has access to DSM-IV codes only should use and document them. Follow the specifications outlined above for ICD-9-CM codes.
Member Months |
|||
Age |
Male |
Female |
Total |
0-12 |
_________ |
_________ |
_________ |
13-17 |
_________ |
_________ |
_________ |
18-64 |
_________ |
_________ |
_________ |
65+ |
_________ |
_________ |
_________ |
Unknown |
_________ |
_________ |
_________ |
Total: |
_________ |
_________ |
_________ |
Age |
Sex |
Discharges |
Discharges/1,000 Member Months |
Days |
Average
Length |
0-12 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
13-17 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
18-64 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
65+ |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Unknown |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
Member Months |
|||
Age |
Male |
Female |
Total |
0-12 |
_________ |
_________ |
_________ |
13-17 |
_________ |
_________ |
_________ |
18-64 |
_________ |
_________ |
_________ |
65+ |
_________ |
_________ |
_________ |
Unknown |
_________ |
_________ |
_________ |
Total: |
_________ |
_________ |
_________ |
Age |
Sex |
Discharges |
Discharges/1,000 Member Years |
Days |
Average
Length |
0-12 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
13-17 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
18-64 |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
65+ |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Unknown |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total |
Male |
_____________ |
_____________ |
_____________ |
_____________ |
Female |
_____________ |
_____________ |
_____________ |
_____________ |
|
Total: |
_____________ |
_____________ |
_____________ |
_____________ |
Added HCPCS codes to Table IAD-B.
Description
This measure gives an overview of the extent to which different levels of chemical dependency services are utilized. It summarizes the number and percentage of members with an alcohol and other drug (AOD) claim who received the following during the measurement year.
Any chemical dependency services (includes inpatient, intermediate, ambulatory)
Inpatient chemical dependency services
Intermediate chemical dependency services
Ambulatory chemical dependency services
An AOD claim contains a diagnosis of AOD abuse or dependence and a specific AOD-related service.
Calculations
Product lines |
Commercial, Medicaid, Medicare. Construct Tables IAD-1A through IAD-D, IAD-2, IAD-2E and IAD-3 using Table IAD-1/2/3. Report the number and rate/1,000 member years of members in the respective age and sex group who receive any chemical dependency services, including inpatient, intermediate or ambulatory services. Count members who received inpatient, intermediate and ambulatory chemical dependency services in each column. Count members in each column only once, regardless of number of visits. Count members in the Any Chemical Dependency Services column only if they had at least one inpatient, intermediate or ambulatory visit during the measurement year. For members who had more than one encounter, count in each column the first visit in the measurement year and report the member in the respective age category as of the date of discharge. |
Benefit |
Chemical dependency. |
Member months |
Report
all member months during the measurement year for members with
|
Inpatient services |
Include inpatient care with chemical dependency as the principal or secondary diagnosis, including detoxification, at either a hospital or a treatment facility. Refer to the codes listed in Table IAD-A to identify inpatient chemical dependency care. |
|
ICD-9-CM Diagnosis |
DRG |
|
---|---|---|---|
|
291-292, 303-304, 305.0, 305.2-305.9, 535.3, 571.1, 94.62, 94.63, 94.65, 94.66, 94.68, 94.69 |
433, 521-523 |
|
Intermediate care |
|
||
Step 1 |
Use CPT code ranges in conjunction with ICD-9-CM codes to separate mental health and chemical dependency and report only chemical dependency services. ICD-9-CM codes should be consistent with codes used to capture inpatient discharges. Count services provided by nonphysician practitioners the same as those provided by physicians. Include intermediate care with chemical dependency as the principal or secondary diagnosis. |
||
Step 2 |
Include all ambulatory care MH/CD service day treatment and partial hospitalization programs because they represent significant services rendered. These services could be represented by Level II HCPCS codes. They are reported under intermediate care, separate from ambulatory services. Include intensive outpatient (IOP) services in the intermediate category. Exclude any utilization the MCO knows is designated “inpatient” by the location of service portion of the Type of Bill code. Count the CPT and HCPCS codes listed in Table IAD-B only if they appear in conjunction with a listed ICD-9-CM Diagnosis code. The ICD-9-CM Procedure codes are counted alone and do not need to be in conjunction with other codes.. |
CPT |
HCPCS |
90801-90802, 90804-90819, 90821-90824, 90826-90829, 90845, 90847, 90849, 90853, 90857, 90862, 90870-90871, 90875-90876, 99201-99205, 99211-99215, 99217-99220, 99241-99245, 99281-99285, 99341-99345, 99347-99350, 99381-99387, 99391-99397, 99401-99404, 99420 |
G0155, G0176, G0177, H0001, H0002, H0004, H0005, H0007, H0012-H0016, H0020, H0031, H0034-H0037, H0039, H0040, H2000, H2001, H2010-H2020, H2035, H2036, M0064, S9475, S9480, S9484, S9485, T1006, T1012 |
WITH
ICD-9-CM Diagnosis |
291-292, 303-304, 305.0, 305.2-305.9, 535.3, 571.1 |
OR
ICD-9-CM Procedure |
94.62, 94.63, 94.65, 94.66, 94.68, 94.69 |
|
Separate the procedure codes identified in step 2 in conjunction with the ICD-9-CM Diagnosis codes into intermediate care using the appropriate codes listed in Table IAD-B. |
Ambulatory services |
Count ambulatory services delivered in any setting (e.g., hospital outpatient clinic, physician’s office) in Table IAD. Use the Revenue and Type of Bill codes to separate ambulatory from inpatient services if data from the UB-92 are used. Report as ambulatory services observation stays and emergency department visits with a principal or secondary diagnosis of chemical dependency that do not result in an inpatient stay. To identify ambulatory services, repeat the first two steps above under intermediate care and separate ambulatory using the appropriate codes listed in Table IAD-C. |
Intermediate |
OR |
Ambulatory |
OR |
Ambulatory |
0905-0907, 0912, 0913 |
045x, 0510, 0513, 0515-0517, 0519-0523, 0526, 0529, 0762, 0900-0903, 0909-0911, 0914-0916, 0918, 0919, 0944, 0945, 0961 |
11, 12, 22, 23, 49, 50, 53, 57, 71 or 72 |
||
WITH |
WITH |
|||
UB-92 Type of Bill |
UB-92 Type of Bill |
|||
13x or 43x |
13x or 43x |
Note: Because some MCOs may offer different benefits for inpatient and outpatient chemical dependency services, denominators in the columns of this table may vary. The denominator in the column Any Chemical Dependency Services should include all members who have a chemical dependency benefit.
Member Months (Any) |
Member Months (Inpatient) |
||||||
Age |
Male |
Female |
Total |
Male |
Female |
Total |
|
0-12 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
13-17 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
18-24 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
25-34 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
35-64 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
65+ |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Unknown |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Total: |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
|
|||||||
Member Months (Intermediate) |
Member Months (Ambulatory) |
||||||
Age |
Male |
Female |
Total |
Male |
Female |
Total |
|
0-12 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
13-17 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
18-24 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
25-34 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
35-64 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
18-64 |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
65+ |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Unknown |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
|
Total: |
_________ |
_________ |
_________ |
_________ |
_________ |
________ |
Age |
Sex |
Any
Chemical |
Inpatient
Chemical |
Intermediate
Chemical |
Ambulatory
Chemical |
||||
Number |
Percent |
Number |
Percent |
Number |
Percent |
Number |
Percent |
||
0-12 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
13-17 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
______ |
______ |
______ |
______ |
______ |
______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
18-24 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
25-34 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
35-64 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
65+ |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
______ |
______ |
______ |
______ |
______ |
______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Un- |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
No changes to this measure.
Description
This measure summarizes data on outpatient utilization of drug prescriptions (total cost of prescriptions; average cost of prescriptions per member per month [PMPM]; total number of prescriptions; average number of prescriptions per member per year [PMPY]) during the measurement year, stratified by age.
Calculations
Product lines |
Commercial, Medicaid, Medicare. |
Age |
Age as of the date the prescription is dispensed. |
Benefit |
Pharmacy. |
Member months |
Construct Tables ORX-1A through ORX-1D, ORX-2, ORX-2E and ORX-3 using Table ORX-1/2/3 as a template. Report all member months for the measurement year for members with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Prescription |
One 30-day (or less) supply of pharmaceuticals.* Supplies (e.g., syringes) do not count toward this measure. |
* To calculate dispensing events for prescriptions longer than 30 days, the MCO should divide the days supply by 30 and round up to convert. For example, a 100-day prescription is equal to 4 dispensing events (100/30 = 3.33, rounded up to 4). |
|
Formulas |
Total cost of prescriptions = Discounted ingredient cost + dispensing or professional fees + administrative fees – formulary/ other rebates. Alternatively, total cost of prescriptions = MCO cost + member cost. Average total cost of prescriptions per member per month = [Discounted ingredient costs (before member copayments or deductibles) + dispensing or professional fees + administrative fees – formulary/other rebates]/member months for members with a pharmacy benefit. Alternatively, average total cost of prescriptions = [MCO costs + member costs]/ member months for members with a pharmacy benefit. For example, the average wholesale price for prescription “X” is $50. The MCO negotiates a 20 percent discount with the pharmacy. There is a $5 dispensing fee and member copay is $4. Assuming no administrative fees or other rebates/ formularies, the discounted ingredient cost is $40 ($50 average wholesale price less the 20 percent discount). The total cost of prescriptions is $45 ($40 discounted ingredient cost + $5 dispensing fee). While the cost to the member is $4 and the MCO cost is $41 (for a total of $45), the breakdown of total prescription cost between the MCO and the member is not reported. Annual total number of prescriptions per member per year = [Total number of prescriptions/member months for members with a pharmacy benefit] 12 months. |
Note
Employers and states are interested in knowing the total cost of prescriptions rather than cost of prescriptions to only the MCO. A breakdown of the cost of prescriptions to the member and to the MCO is not reported in this measure.
Results of this measure might be affected by differences in pharmacy benefits across MCOs.
An MCO that dispenses rebates on a lump-sum basis should average the rebates over the total number of prescriptions.
Age |
Member Months |
0-9 |
______________ |
10-19 |
______________ |
20-44 |
______________ |
45-64 |
______________ |
65-74 |
______________ |
75-84 |
______________ |
85+ |
______________ |
Unknown |
______________ |
Total: |
______________ |
Age |
Total Cost of Prescriptions |
Average Cost of Prescriptions PMPM |
Total Number of Prescriptions |
Average Number of Prescriptions PMPY |
0-9 |
______________ |
______________ |
______________ |
______________ |
10-19 |
______________ |
______________ |
______________ |
______________ |
20-44 |
______________ |
______________ |
______________ |
______________ |
45-64 |
______________ |
______________ |
______________ |
______________ |
65-74 |
______________ |
______________ |
______________ |
______________ |
75-84 |
______________ |
______________ |
______________ |
______________ |
85+ |
______________ |
______________ |
______________ |
______________ |
Unknown |
______________ |
|
______________ |
|
Total: |
______________ |
______________ |
______________ |
______________ |
Added data element “total number of prescriptions by drug class” to Table ABX-B and Table ABX-C.
Clarified the calculation for the average number of antibiotics PMPY, reported by drug class, for selected “antibiotics of concern” and for “all other antibiotics.”
Added Aztreonam, Carbenicillin, Cefixime, Cephradine, Piperacillin-Tazobactam and Ticarillin-Clavulanate to Table ABX-A.
Added Aztreonam and Cefixime to Table ABX-B.
Added Cefadroxil Hydrate, Carbenicillin, Cephradine, Piperacillin-Tazobactam and Ticarcillin-Clavulanate to Table ABX-C.
Deleted Cloxacillin, Dirithromycin, Enoxacin, Flomefloxacin, Fusidic Acid, Methicillin, Mezlocillin, Netilmicin, Pefloxacin, Teicoplanin and Sulfamethizole from Tables ABX-A, ABX-B and ABX-C.
Description
This measure summarizes data on outpatient utilization of antibiotic prescriptions during the measurement year, stratified by age and gender and reported for each product, including the following.
Total number of antibiotic prescriptions
Average number of antibiotic prescriptions per member per year (PMPY)
Total days supplied for all antibiotic prescriptions
Average days supplied per antibiotic prescription
Total number of prescriptions for antibiotics of concern
Average number of prescriptions PMPY for antibiotics of concern
Percentage of antibiotics of concern for all antibiotic prescriptions
Average number of antibiotics PMPY reported by drug class:
For selected “antibiotics of concern”
For all other antibiotics
Measure Attributes
Product lines |
Commercial, Medicaid, Medicare. Construct Tables ABX-1A through ABX-1D, ABX-2, ABX-2E and ABX-3 using Table ABX as a template. Report the information in Tables ABX (a-c)-1/2/3 by age and sex. |
Age |
Age as of the date the prescription is dispensed. |
Benefit |
Pharmacy. |
Member months |
Report all member months for the measurement year for members with the benefit. For more details, refer to Specific Instructions for Use of Services Tables. |
Prescription antibiotics |
Dispensing an antibiotic for any duration. Report the number of days supplied for all prescribed antibiotics in Table ABX-A. Different medications dispensed on the same day count as multiple dispensing events. |
Calculation
Total
number |
Total number of all antibiotic prescriptions for the measurement year of any duration of the medication. |
Average
number |
Annual total number of antibiotic prescriptions PMPY = [Total number of antibiotic prescriptions in the year/member months for members with a pharmacy benefit] 12 months. |
Total days supplied for all antibiotic prescriptions |
Count the number of days supplied for all antibiotic prescriptions during the measurement year. The MCO should identify the number of days supplied for each antibiotic prescription and sum the days for all antibiotic prescriptions during the measurement year. |
Average
number |
Average
number of days supplied per prescription = [Total days supplied
for |
Prescriptions |
|||
|
|
|
|
Note: NCQA will provide a list of NDC codes for antibiotic medications on its Web site at www.ncqa.org by November 15, 2006.
Calculations for Antibiotics of Concern
Total number of prescriptions for antibiotics of concern |
Total number of all prescriptions for antibiotics of concern during the measurement year. Table ABX-B contains all antibiotics of concern. |
Average number of prescriptions PMPY for antibiotics of concern |
Annual total number of prescriptions for antibiotics of concern per member per year = [Annual number of prescriptions for antibiotics of concern/member months for members with a pharmacy benefit] 12 months. Refer to Table ABX-B for a list of antibiotics of concern. |
Percentage of antibiotics of concern of all antibiotic prescriptions |
Percentage of prescriptions for antibiotics of concern of all antibiotic prescriptions = [Total number of prescriptions for antibiotics of concern in the year/Total number of antibiotic prescriptions in the year]. Refer to Table ABX-B for a list of antibiotics of concern. |
Therapeutic Class |
Drugs |
||
Quinolone |
|
|
|
Azithromycin and clarithromycin |
|
|
|
Cephalasporin (second, third and fourth generation) |
|
|
|
Amoxicillin/Clavulanate |
|
||
Ketolide |
|
||
Clindamycin |
|
|
|
Miscellaneous antibiotics of concern |
|
|
|
Calculations for Reporting by Drug Class
Antibiotic utilization PMPY by drug class |
For each product line, report the annual total number of antibiotic prescriptions by: total, average and PMPY by drug class in Tables ABX-1/2/3(b) and (c) for:
|
Antibiotics of concern |
Report the utilization of antibiotics of concern by the following six antibiotic drug classes and a miscellaneous category in Table ABX-1/2/3(b): Antibiotics of Concern Utilization PMPY by Drug Class.
|
|
Refer to Table ABX-B for a list of antibiotics of concern and therapeutic classes. |
All other antibiotics |
Report the utilization of all other antibiotics total, average and PMPY by the following seven antibiotic drug classes and a miscellaneous category in Table ABX-1/2/3(c): All Other Antibiotics Utilization PMPY by Drug Class.
Refer to Table ABX-4 for a list of all other antibiotics concern and therapeutic classes. |
Therapeutic Class |
Drugs |
||
Absorbable sulfonamide |
|
|
|
Aminoglycoside |
|
|
|
Cephalosporin (includes first generation only) |
|
|
|
Lincosamide (other than clindamycin) |
|
||
Macrolide (other than azithromycin and clarithromycin) |
|
|
|
Penicillin (other than amoxicillin/clavulanate) |
|
|
|
Tetracycline |
|
|
|
Miscellaneous antibiotics (includes chemo-therapeutic agents, antibacterial, urinary tract agents) |
|
|
|
Member Months |
|||
Age |
Male |
Female |
Total |
0-9 |
_________ |
_________ |
_________ |
10-17 |
_________ |
_________ |
_________ |
18-34 |
_________ |
_________ |
_________ |
35-49 |
_________ |
_________ |
_________ |
50-64 |
_________ |
_________ |
_________ |
65-74 |
_________ |
_________ |
_________ |
75-84 |
_________ |
_________ |
_________ |
85+ |
_________ |
_________ |
_________ |
Unknown |
_________ |
_________ |
_________ |
Total: |
_________ |
_________ |
_________ |
Reporting Table ABX 1/2/3(a): Antibiotic Utilization (Commercial, Medicaid, Medicare)
Age |
Sex |
Total Antibiotic Scrips |
Average Antibiotic Scrips PMPY |
Total Days Supplied for All Antibiotic Scrips |
Average Days Supplied per Anti-biotic Scrip |
Total Scrips for Antibiotics of Concern |
Average Scrips PMPY for Antibiotics of Concern |
% of Antibiotics of Concern of All Antibiotic Scrips |
0-9 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
10-17 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
18-34 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Reporting Table ABX 1/2/3(a): Antibiotic Utilization (Commercial, Medicaid, Medicare) (continued)
Age |
Sex |
Total Anti-biotic Scrips |
Average Antibiotic Scrips PMPY |
Total Days Supplied for All Antibiotic Scrips |
Average Days Supplied per Anti-biotic Scrip |
Total Scrips for Antibiotics of Concern |
Average Scrips PMPY for Antibiotics of Concern |
% of Antibiotics of Concern of All Antibiotic Scrips |
35-49 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
50-64 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
65-74 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
75-84 |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
85+ |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Unknown |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total: |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
|
Total |
Male |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Female |
__________ |
___________ |
___________ |
___________ |
___________ |
___________ |
_________% |
Age |
Sex |
Total # Quino-lone Scrips |
Avg # Quino-lone Scrips PMPY |
Total # Ceph-alo-sporin Scrips |
Avg # Ceph-alo-sporins Scrips PMPY |
Total # Azithro-mycin & Clar-ithro-mycin Scrips |
Avg # Azithro-mycin & Clar-ithro-mycin Scrips PMPY |
Total # Amox-icillin/ Clavu-lanate Scrips |
Avg # Amox-icillin/ Clavu-lanate Scrips PMPY |
Total # Keto-lide Scrips |
Avg # Keto-lide Scrips PMPY |
Total # Clinda-mycin Scrips |
Avg # Clinda-mycin Scrips PMPY |
Total # Misc Anti-biotics of Concern Scrips |
Avg # Misc Anti-biotics of Concern Scrips PMPY |
0-9 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
10-17 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
18-34 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
35-49 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
50-64 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
65-74 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
75-84 |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Age |
Sex |
Total # Quino-lone Scrips |
Avg # Quino-lone Scrips PMPY |
Total # Ceph-alo-sporin Scrips |
Avg # Ceph-alo-sporins Scrips PMPY |
Total # Azithro-mycin & Clar-ithro-mycin Scrips |
Avg # Azithro-mycin & Clar-ithro-mycin Scrips PMPY |
Total # Amox-icillin/ Clavu-lanate Scrips |
Avg # Amox-icillin/ Clavu-lanate Scrips PMPY |
Total # Keto-lide Scrips |
Avg # Keto-lide Scrips PMPY |
Total # Clinda-mycin Scrips |
Avg # Clinda-mycin Scrips PMPY |
Total # Misc Anti-biotics of Concern Scrips |
Avg # Misc Anti-biotics of Concern Scrips PMPY |
85+ |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Unknown |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
|
Total: |
Male |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Female |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
_______ |
______ |
______ |
______ |
________ |
_______ |
Age |
Sex |
Total # Absorb-able sulfona-mide Scrips |
Avg # Absorb-able sulfona-mide Scrips PMPY |
Total # Amino-glyco-side Scrips |
Avg # Amino-glyco-side Scrips PMPY |
Total # 1st Gen Ceph-alo-spor-ins Scrips |
Avg # 1st Gen Ceph-alo-spor-ins Scrips PMPY |
Total # Linco-samide Scrips |
Avg # Linco-samide ScripsPMPY |
Total # Macro-lides (not azith., clar.) Scrips |
Avg # Macro-lides (not azith. , clar.) Scrips PMPY |
Total # Peni-cillin Scrips |
Avg # Peni-cillin Scrips PMPY |
Total # Tetra-cycline Scrips |
Avg # Tetra-cyc-line Scrips PMPY |
Total # Misc. Anti-biotics Scrips |
Avg # Misc. Anti-biotics Scrips PMPY |
|||||
50-64 |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Tot. |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
65-74 |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Tot. |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
75-84 |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Tot. |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
85+ |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Tot. |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Un. |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Tot: |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
||||||
Total |
M |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
|||||
F |
______ |
_______ |
_____ |
______ |
______ |
_____ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
_____ |
______ |
______ |
HEDIS 2007, Volume 2
File Type | application/msword |
File Title | UOS |
Author | Lacourci |
Last Modified By | CMS |
File Modified | 2007-01-31 |
File Created | 2007-01-31 |