Wash. Admin. Code § 182-557-0225 - Health home services-Methodology for calculating a person's risk score | State Regulations | US Law

(1) Step 1. Collect paid claims and health plan encounter data. The agency obtains a set of paid fee-for-service claims and managed care encounters for a client.

(a) For clients age 17 and younger, the agency uses all paid claims and encounters within the last 24 months.

(b) For clients age 18 and older, the agency uses all paid claims and encounters within the last 15 months.

(i) The claims and encounters include the international classification of diseases (ICD) diagnosis codes and national drug codes (NDC) submitted by health care providers. These are used in steps 2 and 3 to create a set of risk categories.

(ii) The agency uses two algorithms developed by the University of San Diego:

(A) Chronic illness and disability payment system (CDPS) which assigns ICD diagnosis codes to CDPS risk categories (see Table 3 in subsection (5)(b) of this section); and

(B) Medical Rx (MRx) which assigns NDCs to MRx risk categories (see Table 2 in subsection (3)(b) of this section).

(2) Step 2. Group ICD diagnosis codes into chronic illness and disability payment system risk categories.

(a) To group ICD diagnosis codes into the CDPS risk categories (see Table 1 in (b) of this subsection), the agency uses an ICD diagnosis code to CDPS risk categories crosswalk in subsection (1)(b)(ii)(A) of this section. Each of the ICD diagnosis codes listed is assigned to one risk category. If an ICD diagnosis code is not listed in the crosswalk it does not map to a risk category that is used in the calculation of the risk score.

(b) Table 1. Titles of Chronic Illness and Disability Payment System Risk Categories

CARVH	Cardiovascular, very high
CARM	Cardiovascular, medium
CARL	Cardiovascular, low
CAREL	Cardiovascular, extra low
PSYH	Psychiatric, high
PSYM	Psychiatric, medium
PSYML	Psychiatric, medium low
PSYL	Psychiatric, low
SKCM	Skeletal, medium
SKCL	Skeletal, low
SKCVL	Skeletal, very low
CNSH	Central Nervous System, high
CNSM	Central Nervous System, medium
CNSL	Central Nervous System, low
PULVH	Pulmonary, very high
PULH	Pulmonary, high
PULM	Pulmonary, medium
PULL	Pulmonary, low
GIH	Gastro, high
GIM	Gastro, medium
GIL	Gastro, low
DIA1H	Diabetes, type 1 high
DIA1M	Diabetes, type 1 medium
DIA2M	Diabetes, type 2 medium
DIA2L	Diabetes, type 2 low
SKNH	Skin, high
SKNL	Skin, low
SKNVL	Skin, very low
RENEH	Renal, extra high
RENVH	Renal, very high
RENM	Renal, medium
RENL	Renal, low
SUBL	Substance abuse, low
SUBVL	Substance abuse, very low
CANVH	Cancer, very high
CANH	Cancer, high
CANM	Cancer, medium
CANL	Cancer, low
DDM	Developmental Disability, medium
DDL	Developmental Disability, low
GENEL	Genital, extra low
METH	Metabolic, high
METM	Metabolic, medium
METVL	Metabolic, very low
PRGCMP	Pregnancy, complete
PRGINC	Pregnancy, incomplete
EYEL	Eye, low
EYEVL	Eye, very low
CERL	Cerebrovascular, low
AIDSH	AIDS, high
INFH	Infectious, high
HIVM	HIV, medium
INFM	Infectious, medium
INFL	Infectious, low
HEMEH	Hematological, extra high
HEMVH	Hematological, very high
HEMM	Hematological, medium
HEML	Hematological, low

(3) Step 3. Group national drug codes (NDCs) into MRx risk categories.

(a) To group the NDC codes into MRx risk categories (see Table 2 in (b) of this subsection), the agency uses a NDC code to MRx risk categories crosswalk in subsection (1)(b)(ii)(B) of this section.

(b) Table 2. Titles of Medicaid Rx Risk Categories

MRx1	Alcoholism
MRx2	Alzheimer's
MRx3	Anti-coagulants
MRx4	Asthma/COPD
MRx5	Attention Deficit
MRx6	Burns
MRx7	Cardiac
MRx8	Cystic Fibrosis
MRx9	Depression/Anxiety
MRx10	Diabetes
MRx11	EENT
MRx12	ESRD/Renal
MRx13	Folate Deficiency
MRx14	CMV Retinitis
MRx15	Gastric Acid Disorder
MRx16	Glaucoma
MRx17	Gout
MRx18	Growth Hormone
MRx19	Hemophilia/von Willebrands
MRx20	Hepatitis
MRx21	Herpes
MRx22	HIV
MRx23	Hyperlipidemia
MRx24	Infections, high
MRx25	Infections, medium
MRx26	Infections, low
MRx27	Inflammatory/Autoimmune
MRx28	Insomnia
MRx29	Iron Deficiency
MRx30	Irrigating Solution
MRx31	Liver Disease
MRx32	Malignancies
MRx33	Multiple Sclerosis/Paralysis
MRx34	Nausea
MRx35	Neurogenic Bladder
MRx36	Osteoporosis/Pagets
MRx37	Pain
MRx38	Parkinsons/Tremor
MRx39	Prenatal Care
MRx40	Psychotic Illness/Bipolar
MRx41	Replacement Solution
MRx42	Seizure Disorders
MRx43	Thyroid Disorder
MRx44	Transplant
MRx45	Tuberculosis

(4) Step 4. Remove duplicate risk categories. After mapping all diagnosis and drug codes to the risk categories, the agency eliminates duplicates of each client's risk categories so that there is only one occurrence of any risk category for each client.

(5) Step 5. Select the highest CDPS risk category within a disease group.

(a) The agency organizes CPDS risk categories into risk category groups of different intensity levels. The high risk category in each group is used in the calculation of the risk score. The lower level risk categories are eliminated from further calculations.

(b) Table 3. Chronic Disease Payment System Risk Category Groups

Group Description	Risk Categories (Ordered Highest to Lowest Intensity)
AIDS/HIV and Infection	AIDSH, INFH, HIVM, INFM, INFL
Cancer	CANVH, CANH, CANM, CANL
Cardiovascular	CARVH, CARM, CARL, CAREL
Central Nervous System	CNSH, CNSM, CNSL
Diabetes	DIA1H, DIA1M, DIA2M, DIA2L
Developmental Disability Eye	DDM, DDL EYEL, EYEVL
Gastrointestinal	GIH, GIM, GIL
Hematological	HEMEH, HEMVH, HEMM, HEML
Metabolic	METH, METM, METVL
Pregnancy	PRGCMP, PRGINC
Psychiatric	PSYH, PSYM, PSYML, PSYL
Substance Abuse	SUBL, SUBVL
Pulmonary	PULVH, PULH, PULM,
Renal	RENEH, RENVH, RENM, RENL
Skeletal	SKCM, SKCL, SKCVL
Skin	SKNH, SKNL, SKNVL

(6) Step 6. Determine age/gender category.

(a) For each client, the agency selects the appropriate age/ gender category. The 11 categories are listed in Table 4 in (b) of this subsection. The categories for ages below five and above 65 are gender neutral.

(b) Table 4. Age/Gender Categories

Age	Gender
Age < 1
Age 1 to 4
Age 5 to 14	Male
Age 5 to 14	Female
Age 15 to 24	Male
Age 15 to 24	Female
Age 25 to 44	Male
Age 25 to 44	Female
Age 45 to 64	Male
Age 45 to 64	Female
Age 65+

(7) Step 7. Apply risk weights.

(a) The agency assigns each risk category and age/gender category a weight. The weight comes from either the model for clients who are age 17 and younger or from the model for clients age 18 and older.

(b) In each model there are three types of weights.

(i) Age/gender - Weights that correspond to the age/gender category of a client.

(ii) CDPS - Weights that correspond to 58 of the CDPS risk categories.

(iii) MRx - Weights that correspond to 45 of the MRx risk categories.

(c) Table 5. Risk Score Weights

Category Type	Category	Description	Weights for Children (age <18)	Weights for Adults (age 18+)
Age/Gender	Age <1	Clients of age less than 1	0.91261	0.00000
Age 1 to 4	Clients age 1 to 4	0.31764	0.00000
Age 5 to 14, Male	Male clients age 5 to 14	0.25834	0.00000
Age 5 to 14, Female	Female clients age 5 to 14	0.26338	0.00000
Age 15 to 24, Male	Male clients age 15 to 24	0.25662	-0.01629
Age 15 to 24, Female	Female clients age 15 to 24	0.29685	0.03640
Age 25 to 44, Male	Male clients age 25 to 44	0.00000	0.04374
Age 25 to 44, Female	Female clients age 25 to 44	0.00000	0.06923
Age 45 to 64, Male	Male clients age 45 to 64	0.00000	0.13321
Age 45 to 64, Female	Female clients age 45 to 64	0.00000	0.06841
Age 65+	Clients age 65 and older	0.00000	-0.05623
CDPS	CARVH	Cardiovascular, very high	0.84325	2.86702
CARM	Cardiovascular, medium	0.33428	0.73492
CARL	Cardiovascular, low	0.12835	0.24620
CAREL	Cardiovascular, extra low	0.04307	0.06225
PSYH	Psychiatric, high	0.40351	0.27085
PSYM	Psychiatric, medium	0.23892	0.00000
PSYML	Psychiatric, medium low	0.13796	0.00000
PSYL	Psychiatric, low	0.07675	0.00000
SKCM	Skeletal, medium	0.21071	0.42212
SKCL	Skeletal, low	0.08343	0.15467
SKCVL	Skeletal, very low	0.06244	0.06773
CNSH	Central Nervous System, high	0.80483	0.78090
CNSM	Central Nervous System, medium	0.31945	0.40886
CNSL	Central Nervous System, low	0.15106	0.18261
PULVH	Pulmonary, very high	1.14056	4.01723
PULH	Pulmonary, high	0.34356	0.39309
PULM	Pulmonary, medium	0.35587	0.31774
PULL	Pulmonary, low	0.11315	0.13017
GIH	Gastro, high	0.65934	1.34924
GIM	Gastro, medium	0.24699	0.24372
GIL	Gastro, low	0.09767	0.05104
DIA1H	Diabetes, type 1 high	0.27018	1.04302
DIA1M	Diabetes, type 1 medium	0.27018	0.23620
DIA2M	Diabetes, type 2 medium	0.13647	0.17581
DIA2L	Diabetes, type 2 low	0.13647	0.09635
SKNH	Skin, high	0.56322	0.37981
SKNL	Skin, low	0.23664	0.45155
SKNVL	Skin, very low	0.05697	0.02119
RENEH	Renal, extra high	1.80489	3.41999
RENVH	Renal, very high	0.59311	0.69251
RENM	Renal, medium	0.28630	0.92846
RENL	Renal, low	0.21048	0.17220
SUBL	Substance Abuse, low	0.15170	0.16104
SUBVL	Substance Abuse, very low	0.01794	0.08784
CANVH	Cancer, very high	1.19700	2.80074
CANH	Cancer, high	0.51985	0.97173
CANM	Cancer, medium	0.22164	0.38022
CANL	Cancer, low	0.10350	0.22625
DDM	Developmental Disability, medium	0.50073	0.27818
DDL	Developmental Disability, low	0.19696	0.05913
GENEL	Genital, extra low	0.00790	0.01121
METH	Metabolic, high	0.47167	0.47226
METM	Metabolic, medium	0.26297	0.11310
METVL	Metabolic, very low	0.11546	0.18678
PRGCMP	Pregnancy, complete	0.00244	0.00000
PRGINC	Pregnancy, incomplete	0.12631	0.51636
EYEL	Eye, low	0.09919	0.13271
EYEVL	Eye, very low	0.02835	0.00000
CERL	Cerebrovascular, low	0.14294	0.00000
AIDSH	AIDS, high	0.70597	0.47361
INFH	Infectious, high	0.70597	0.79689
HIVM	HIV, medium	0.26129	0.07937
INFM	Infectious, medium	0.26129	0.79689
INFL	Infectious, low	0.07784	0.05617
HEMEH	Hematological, extra high	5.37808	12.71981
HEMVH	Hematological, very high	0.72873	3.08836
HEMM	Hematological, medium	0.37824	0.63211
HEML	Hematological, low	0.18676	0.25601
MRx	MRx1	Alcoholism	0.05982	0.01924
MRx2 MRx3	Alzheimer's Anti-coagulants	0.00000 0.34428	0.08112 0.13523
MRx4	Asthma/COPD	0.08758	0.05751
MRx5 MRx6	Attention Deficit Burns	0.00000 0.16633	0.00779 0.00000
MRx7	Cardiac	0.0906	0.06425
MRx8	Cystic Fibrosis	0.50399	0.37265
MRx9	Depression/Anxiety	0.06743	0.09436
MRx10	Diabetes	0.1519	0.17046
MRx11 MRx12	EENT ESRD/Renal	0.00000 1.24598	0.00072 1.20707
MRx13	Folate Deficiency	0.17973	0.11899
MRx14	CMV Retinitis	0.37762	0.00000
MRx15	Gastric Acid Disorder	0.10082	0.15470
MRx16	Glaucoma	0.12971
MRx17	Gout	0.00000	0.00000
MRx18	Growth Hormone	0.9741	1.59521
MRx19	Hemophilia/von Willebrands	13.56192	89.14461
MRx20	Hepatitis	0.03018	0.00000
MRx21	Herpes	0.0348	0.01725
MRx22	HIV	0.65537	1.01178
MRx23	Hyperlipidemia	0.00000	0.03791
MRx24	Infections, high	1.38405	1.51663
MRx25	Infections, medium	0.07462	0.06192
MRx26	Infections, low	0.00000	0.00918
MRx27	Inflammatory/Autoimmune	0.08075	0.20046
MRx28	Insomnia	0.07093	0.06437
MRx29	Iron Deficiency	0.13306	0.15054
MRx30	Irrigating Solution	0.87573	0.16387
MRx31	Liver Disease	0.45314	0.22681
MRx32	Malignancies	0.36859	0.44200
MRx33	Multiple Sclerosis/Paralysis	0.0345	0.04353
MRx34	Nausea	0.18219	0.17120
MRx35	Neurogenic Bladder	0.15282	0.07675
MRx36 MRx37	Osteoporosis/Pagets Pain	0.00000 0.0295	0.00000 0.04151
MRx38	Parkinsons/Tremor	0.17163	0.06257
MRx39	Prenatal Care	0.00000	0.13192
MRx40	Psychotic Illness/Bipolar	0.22819	0.20274
MRx41	Replacement Solution	0.58622	1.49405
MRx42	Seizure Disorders	0.23997	0.19837
MRx43	Thyroid Disorder	0.03948	0.06326
MRx44	Transplant	0.37388	0.05810
MRx45	Tuberculosis	0.20006	0.00000

(8) Step 8. Sum risk weights to obtain the risk score.

After obtaining the weights that correspond to a client's age/ gender category and set of risk categories, the agency takes a sum of the values of all of the weights. This sum is the risk score for a client.

Wash. Admin. Code § 182-557-0225 - Health home services-Methodology for calculating a person's risk score

Notes