TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by...

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TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics

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Page 1: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

TRANSLATING VISITS INTO PATIENTS USING AMBULATORY

VISIT DATA

(Hypertensive patient case study)

by Esther Hing, M.P.H. and Julia Holmes, Ph.D

U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICESCenters for Disease Control and PreventionNational Center for Health Statistics

Page 2: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Outline of talk

• Source of data

• Two hypertension definitions compared

• Methodology translating visit to patients

• Accuracy of estimates assessed

• Example of analytic use of patient estimates

Page 3: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Sources of data• Split-panel study of 2001 NAMCS and

Outpatient Department (OPD) component of 2001 NHAMCS

• Study tested effects of form length on response rates and reporting levels– Half of sample randomly assigned short form – Half of sample randomly assigned longer form– Data for each half sample weighted to reflect

estimates for the nation.– Data across both half samples also weighted to reflect

national estimates

Page 4: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Estimating hypertensive patients 18 years and older

• Visits limited to selected specialties and clinics where hypertensive patients more likely to be treated and to avoid multiple visits to different providers by same patient:– cardiologists, primary care physicians (family or

general practice, internal medicine, pediatrics, obstetrics and gynecology).

– selected hospital OPD clinics (general medicine, pediatric, obstetrics and gynecology).

Page 5: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Hypertension definitions

Full sample estimate

Half sample estimate

Diagnoses X X

Reason for visit X X

Hypertension check box

X

Page 6: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Number of adult visits with hypertension indicated by type of estimate: 2001 NAMCS/NHAMCS

71.3

118.2

0

20

40

60

80

100

120

140

Full sample estimate Half sample estimate

Nu

mb

er o

f vi

sits

in

mil

lio

ns

Page 7: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Methodology for translating visits to patients

• Information on past visits only collected for established patients previously seen by physician in office practice or hospital OPD

Page 8: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Full sample distribution of visits to physician offices and hospital OPDs made by hypertensive adults during past 12 months: 2001

NAMCS/NHAMCS

3.6

22

37

30

3.6 3.7

0

5

10

15

20

25

30

35

40

1 visit 2-3 visits 4-6 visits 7+ visits Unknown Newpatient

Per

cen

t

Page 9: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Assumptions

• Current visit assumed to be the only visit for new patients.

• Established patients with unknown number of visits during past 12 months were assumed to have same category of visits as most frequent category (4-6 visits).

Page 10: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Distribution of visits by number of physician visits after re-assignment of new patients and established patients with unknown number of visits

7.3

22

40.6

30

0

5

10

15

20

25

30

35

40

45

1 visit 2-3 visits 4-6 visits 7+ visits

Per

cen

t

Page 11: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Translating visits to patients

• Visits by patients known to have multiple visits during past 12 months are re-weighted by dividing the sampling weight by the midpoint of number of visit of visit category; e.g., midpoint of 4-6 visits category is 5.

• Re-weighting assumes that characteristics of the sampled visit are similar to previous visits made by the patient to this provider during the past 12 months.

Page 12: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Full sample distribution of hypertensive visits and estimated patients by number of physician visits during past 12 months: 2001

NAMCS/NHAMCS

7.3

22

40.6

3026.7

28.7 29.8

14.8

0

5

10

15

20

25

30

35

40

45

1 visit 2-3 visits 4-6 visits 7+ visits

Per

cen

t

Visits Patients

Page 13: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Half sample distribution of hypertensive visits and estimated patients by number of physician visits during past 12 months: 2001 NAMCS and

NHAMCS Split-panel study

8.6

21.5

39.7

30.129.3 29.226.9

14.6

0

5

10

15

20

25

30

35

40

45

1 visit 2-3 visits 4-6 visits 7+ visits

Per

cen

t

Visits Patients

Page 14: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Estimated number of adults with diagnosed hypertension from NAMCS/NHAMCS and NHIS: United States, 2001

0 10 20 30 40 50

2001 NHIS

2001NAMCS/NHAMCS

half sample

2001NAMCS/NHAMCS

full sample

Number of persons in millions

Saw doctor within last 12 months Did not see doctor Unknown

NOTE: NHIS is the National Health Interview Survey

Page 15: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

• Patient estimates derived from NAMCS/NHAMCS visit data differ from household survey (NHIS) estimate because of:– Respondent reporting differences– Household survey estimate includes persons not seen

by a physician during last 12 months– Household respondents could report for providers

outside of scope of NAMCS/NHAMCS– Other reasons

Page 16: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Example of how derived patient estimates can be used

• Percent of hypertensive patients receiving recommended (evidence-based) drug therapy

• Guideline: 6th Joint National Committee on Detection, Evaluation and Treatment of High Blood Pressure (JNC VI), 1997.

• Recommendations vary by presence or absence of co-morbidities:– Essential hypertension without co-morbidities – Hypertension and diabetes – Hypertension and ischemic heart disease

Page 17: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Anti-hypertensives used in this study

• Antihypertensive treatment defined as a prescription for the following therapeutic drug classes:– Diuretic– Beta blocker– Calcium channel blocker– Angiotensin-converting enzyme (ACE) inhibitor– Other antihypertensive drugs

• Combination drugs were disaggregated and allocated to the applicable therapeutic drug class.

Page 18: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Recommended first-line anti-hypertensives (JNC VI)

• Diuretics or beta blockers for patients with essential hypertension and no co-morbidities

• ACE inhibitors for hypertensive patients with diabetes

• Beta blockers for hypertensive patients with ischemic heart disease

Page 19: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Half sample percent of adult hypertensive patients and visits prescribed first-line anti-hypertensives by presence or absence of selected co-

morbidities: 2001NAMCS/NHAMCS Split-panel study

48

60.3

37.9

25.5

36.8

13.4

0 10 20 30 40 50 60 70

Hypertension andwithout mention of

diabetes or ischemicheart disease

Hypertension anddiabetes

Hypertension andischemic heart

disease

Percent

Patients Visits

Page 20: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Anti-hypertensive prescribing pattern

• Percent prescribed diuretics or beta blockers for hypertension without co-morbid diabetes or ischemic heart disease varies by definition used – Full sample estimate defined by diagnoses

and reason for visit was 40.8 percent– Half sample defined by check box, diagnoses

and reason for visit was 48 percent

Page 21: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Comparison of percent of adults with essential hypertension prescribed first-line anti-hypertensive medications (diuretic or beta blockers) by survey

48

40.8

50

36.7

0 10 20 30 40 50 60

NAMCS/NHAMCS halfsample estimate

NAMCS/NHAMCS fullsample estimate

1998-2000 BCBS ofMichigan administrative

data

1996 MEPS

Percent

MEPS=Medical Expenditures Panel Survey

Page 22: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Conclusions

• Patient estimates vary by data items used to define patients

• Inclusion of the hypertension check box in the definition resulted in a 72 percent higher estimate of hypertensive patients (34.9 million) than the estimate defined by diagnoses or reason for visit (20.3 million)

Page 23: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Conclusions• The outcome variable (percent of patients

with hypertension prescribed diuretics or beta blocker) also varied by definition of hypertensive patients

• Half sample estimate similar to estimate based on BCBSM administrative data

Page 24: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Implications for Data Users

• Translation of visits to patients produced valid estimates in this case study, but users need to assess applicability of assumptions used for user’s research

• Two definitions of hypertensive patients presented– Information on hypertension check box not released on the 2001

public use files (PUF) for NAMCS and OPD component of 2001 NHAMCS, but will be included in 2005 surveys

– Diagnoses and reason for visit always available in PUF files – Users need to be aware of differences in estimates and outcome

variables associated with varying definitions of patients

Page 25: TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.

Limitations

• Estimates of drug prescribing patterns may includes cases where first-line therapy was already tried and the medications recorded reflect a newer treatment

• Estimated number of patients are rough approximations and may overestimate if established patients visited multiple sample physicians or hospital OPDs during the past 12 months.