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Lawrence B Zaborski

Publications and source records attributed to Lawrence B Zaborski.

3 recordsLinked to original sources

Plan, geographical, and temporal variation of consumer assessments of ambulatory health care.

OBJECTIVE: To quantify contributions of health plans and geography to variation in consumer assessments of health plan quality. DATA SOURCES: Responses of beneficiaries of Medicare managed care plans to the Consumer Assessment of Health Plans Study (CAHPS(R)) survey. Our data included more than 700,000 survey responses assessing 381 Medicare managed care (MMC) contracts over a period of five years. STUDY DESIGN: The survey was administered to a nationally representative sample of beneficiaries of Medicare managed care plans. PRINCIPAL FINDINGS: Member assessments of their health plans, customer service functions, and prescription drug benefits varied most across health plans; these also varied the most over time. Assessments of direct interactions with doctors and their practices were more affected by geographical location, and these assessments were quite stable over time. A health plan's global rating often changed significantly between consecutive years, but only rarely were there such changes in ratings of care or doctor. Nationally, mean assessments tended to decrease over the study period. CONCLUSIONS: Our findings suggest that ratings of plans and reports about customer service and prescription access are affected by plan policies, benefits design, and administrative structures that can be changed relatively quickly. Conversely, assessments of other aspects of care are largely determined by characteristics of provider networks that are relatively stable. A consumer survey is unlikely to detect meaningful changes in quality of care from year to year unless quality improvement measures are developed that have substantially larger effects, possibly through area-wide initiatives, than historical temporal variations in quality.

Ambulatory Care↗

Factors affecting response rates to the Consumer Assessment of Health Plans Study survey.

OBJECTIVES: Assess the determinants of nonresponse to a consumer health care survey. METHODS: The first (1997; CAHPS 1.0) and third (1999; CAHPS 2.0) Medicare managed care (MMC) CAHPS surveys collected data on 215 and 365 health plan reporting units, respectively. Data indicated which beneficiaries responded by mail, responded by phone, could not be located, and did not respond. InterStudy data described plan characteristics. chi2 tests and logistic regression models, adjusted for clustering by plan, were used to test associations of individual and plan characteristics with availability of good contact information and response given good contact information. RESULTS: Response rates in the 1997 and 1999 surveys were 75% and 80%, respectively. Older and disabled beneficiaries, women, nonwhite beneficiaries, and persons living in areas with more residents who were nonwhite, on public assistance, and less educated had lower response rates. These associations were partly explained by the distribution of bad contact information, but even among beneficiaries who could be located plan response rates varied greatly. For-profit plans are significantly more likely to have high rates of bad contact information and lower response rates. Telephone follow-up improved the sociodemographic representativeness of the sample, for both high and low response rate plans. CONCLUSION: CAHPS-MMC survey procedures, in particular telephone follow-up, have resulted in high response rates, and current case-mix strategies compensate for some of the remaining effects of differing response rates on comparisons among plans. Further efforts to explore the determinants of response rates are warranted.

Age Distribution↗

Combining health plan performance indicators into simpler composite measures.

We investigated how the Consumer Assessment of Health Plan Study (CAHPS) survey and the Health Plan Employer Data Information System (HEDIS) measures from Medicare managed care (MMC) plans could be combined into fewer summary performance scores. Four scores summarize most of the variability in these measures, representing (1) care at the doctor's office, (2) customer service and access, (3) vaccinations, and (4) clinical quality measures. These summaries are substantively interpretable, internally consistent, and describe the majority of variation among units in the performance scores analyzed.

Aged↗