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This article explores factors that facilitate or impede data sharing and linkage collaborations between state public health agencies and managed care organizations (MCOs). The exploration is based upon a review of both recent literature and the four years' experience of the Massachusetts Health Assessment Partnership (MHAP). MHAP has undertaken six collaborative data sharing and linkage projects that have involved diverse topics and methods. This article summarizes both exogenous and endogenous factors that have affected MHAP as a successful collaboration and indicates those factors that might be replicated in future collaborations between public health agencies and MCOs in other locations. [ABSTRACT FROM AUTHOR]

Background: Under current medical home proposals, primary care practices using specific structural capabilities will receive enhanced payments. Some practices disproportionately serve sociodemographically vulnerable neighborhoods. If these practices lack medical home capabilities, their ineligibility for enhanced payments could worsen disparities in care., Methods: Via survey, 308 Massachusetts primary care practices reported their use of 13 structural capabilities commonly included in medical home proposals. Using geocoded US Census data, we constructed racial/ethnic minority and economic disadvantage indices to describe the neighborhood served by each practice. We compared the structural capabilities of "disproportionate-share" practices (those in the most sociodemographically vulnerable quintile on each index) and others., Results: Racial/ethnic disproportionate-share practices were more likely than others to have staff assisting patient self-management (69% vs 55%; P = .003), on-site language interpreters (54% vs 26%; P < .001), multilingual clinicians (80% vs 51%; P < .001), and multifunctional electronic health records (48% vs 29%; P = .01). Similarly, economic disproportionate-share practices were more likely than others to have physician awareness of patient experience ratings (73% vs 65%; P = .03), on-site language interpreters (56% vs 25%; P < .001), multilingual clinicians (78% vs 51%; P < .001), and multifunctional electronic health records (40% vs 31%; P = .03). Disproportionate-share practices were larger than others. After adjustment for practice size, only language capabilities continued to have statistically significant relationships with disproportionate-share status., Conclusions: Contrary to expectations, primary care practices serving sociodemographically vulnerable neighborhoods were more likely than other practices to have structural capabilities commonly included in medical home proposals. Payments tied to these capabilities may aid practices serving vulnerable populations.

Background: Recent proposals to reform primary care have encouraged physician practices to adopt such structural capabilities as performance feedback and electronic health records. Whether practices with these capabilities have higher performance on measures of primary care quality is unknown., Objective: To measure associations between structural capabilities of primary care practices and performance on commonly used quality measures., Design: Cross-sectional analysis., Setting: Massachusetts., Participants: 412 primary care practices., Measurements: During 2007, 1 physician from each participating primary care practice (median size, 4 physicians) was surveyed about structural capabilities of the practice (responses representing 308 practices were obtained). Data on practice structural capabilities were linked to multipayer performance data on 13 Healthcare Effectiveness Data and Information Set (HEDIS) process measures in 4 clinical areas: screening, diabetes, depression, and overuse., Results: Frequently used multifunctional electronic health records were associated with higher performance on 5 HEDIS measures (3 in screening and 2 in diabetes), with statistically significant differences in performance ranging from 3.1 to 7.6 percentage points. Frequent meetings to discuss quality were associated with higher performance on 3 measures of diabetes care (differences ranging from 2.3 to 3.1 percentage points). Physician awareness of patient experience ratings was associated with higher performance on screening for breast cancer and cervical cancer (1.9 and 2.2 percentage points, respectively). No other structural capabilities were associated with performance on more than 1 measure. No capabilities were associated with performance on depression care or overuse., Limitation: Structural capabilities of primary care practices were assessed by physician survey., Conclusion: Among the investigated structural capabilities of primary care practices, electronic health records were associated with higher performance across multiple HEDIS measures. Overall, the modest magnitude and limited number of associations between structural capabilities and clinical performance suggest the importance of continuing to measure the processes and outcomes of care for patients., Primary Funding Source: The Commonwealth Fund.

Background: The Patient-Centered Medical Home (PCMH), a popular model for primary care reorganization, includes several structural capabilities intended to enhance quality of care. The extent to which different types of primary care practices have adopted these capabilities has not been previously studied., Objective: To measure the prevalence of recommended structural capabilities among primary care practices and to determine whether prevalence varies among practices of different size (number of physicians) and administrative affiliation with networks of practices., Design: Cross-sectional analysis., Participants: One physician chosen at random from each of 412 primary care practices in Massachusetts was surveyed about practice capabilities during 2007. Practice size and network affiliation were obtained from an existing database., Measurements: Presence of 13 structural capabilities representing 4 domains relevant to quality: patient assistance and reminders, culture of quality, enhanced access, and electronic health records (EHRs)., Main Results: Three hundred eight (75%) physicians responded, representing practices with a median size of 4 physicians (range 2-74). Among these practices, 64% were affiliated with 1 of 9 networks. The prevalence of surveyed capabilities ranged from 24% to 88%. Larger practice size was associated with higher prevalence for 9 of the 13 capabilities spanning all 4 domains (P < 0.05). Network affiliation was associated with higher prevalence of 5 capabilities (P < 0.05) in 3 domains. Associations were not substantively altered by statistical adjustment for other practice characteristics., Conclusions: Larger and network-affiliated primary care practices are more likely than smaller, non-affiliated practices to have adopted several recommended capabilities. In order to achieve PCMH designation, smaller non-affiliated practices may require the greatest investments.

Pay-for-performance (P4P) has become one of the dominant approaches to improving quality of care, yet few studies have evaluated its effectiveness. We evaluated the impact on quality of all P4P programs introduced into physician group contracts during 2001-2003 by the five major commercial health plans operating in Massachusetts. Overall, P4P contracts were not associated with greater improvement in quality compared to a rising secular trend. Future research is required to determine whether changes to the magnitude, structure, or alignment of P4P incentives can lead to improved quality.

Purpose: Recent reports have emphasized the importance of delivery systems in improving health care quality. However, few prior studies have assessed differences in primary care quality between physician groups that differ in size and organizational configuration. We examined whether larger physician group size and affiliation with networks of multiple groups are associated with higher quality of care., Methods: We conducted a cross-sectional observational analysis of 132 physician groups (including 4,358 physicians) who delivered primary care services in Massachusetts in 2002. We compared physician groups on performance scores for 12 Health Plan Employer Data and Information Set (HEDIS) measures reflecting processes of adult primary care., Results: Network-affiliated physician groups had higher performance scores than non-affiliated groups for 10 of the 12 HEDIS measures (p < 0.05). There was no consistent relationship between group size and performance scores. Multivariable models including group size, network affiliation, and health plan showed that network-affiliated groups had higher performance scores than non-affiliated groups on 8 of the 12 HEDIS measures (p < 0.05), and larger group size was not associated with higher performance scores. Adjusted differences in the performance scores of network-affiliated and non-affiliated groups ranged from 2% to 15%. For 4 HEDIS measures related to diabetes care, performance score differences between network-affiliated and non-affiliated groups were most apparent among the smallest groups., Conclusions: Physician group affiliation with networks of multiple groups was associated with higher quality, and for measures of diabetes care the quality advantage of network-affiliation was most evident among smaller physician groups.

Objectives: Despite substantial enthusiasm among insurers and federal policy makers for pay-for-performance incentives, little is known about the current scope of these incentives or their influence on the delivery of care. To assess the scope and magnitude of pay-for-performance (P4P) incentives among physician groups and to examine whether such incentives are associated with quality improvement initiatives., Study Design: Structured telephone survey of leaders of physician groups delivering primary care in Massachusetts. ASSESSED METHODS: Prevalence of P4P incentives among physician groups tied to specific measures of quality or utilization and prevalence of physician group quality improvement initiatives., Results: Most group leaders (89%) reported P4P incentives in at least 1 commercial health plan contract. Incentives were tied to performance on Health Employer Data and Information Set (HEDIS) quality measures (89% of all groups), utilization measures (66%), use of information technology (52%), and patient satisfaction (37%). Among the groups with P4P and knowledge of all revenue streams, the incentives accounted for 2.2% (range, 0.3%-8.8%) of revenue. P4P incentives tied to HEDIS quality measures were positively associated with groups' quality improvement initiatives (odds ratio, 1.6; P = .02). Thirty-six percent of group leaders with P4P incentives reported that they were very important or moderately important to the group's financial success., Conclusions: P4P incentives are now common among physician groups in Massachusetts, and these incentives most commonly reward higher clinical quality or lower utilization of care. Although the scope and magnitude of incentives are still modest for many groups, we found an association between P4P incentives and the use of quality improvement initiatives.

Background: The National Scientific Panel on Immunization Measurement Standards recently recommended that the assessment population for the childhood immunization measure of the Health Plan Employer Data and Information Set include 24-month-olds with > or = 6 months of continuous enrollment in a health plan. The current inclusion criterion is > or = 12 months of continuous enrollment. The new recommendation would expand the assessment population to include children with more recent enrollment., Objectives: To compare the immunization status of children enrolled in a large health plan between ages 12 and 17 months vs earlier in life and to describe the proportion of children enrolled between ages 12 and 17 months that could be fully immunized by 24 months., Methods: All children enrolled in a group-model HMO who turned 24 months old during a 12-month study were identified for a retrospective cohort study. A computerized immunization database was used to identify all vaccines administered to each child, and summary measures were created to describe immunization status at selected times. The full-text medical records of children who seemed to have no immunizations in the computerized database were reviewed., Results: Of the 3448 children in the study population, 3130 (91%) enrolled between birth and 11 months of age and 161 (5%) enrolled between 12 and 17 months of age. Whereas 87% of children who enrolled between birth and 11 months of age were fully immunized at age 24 months, only 57% of those enrolled between 12 and 17 months of age were fully immunized at 24 months of age (risk difference, 30%; 95% confidence interval, 24%-36%; P < .001). Of the 161 children enrolled between 12 and 17 months of age, 68% had received all of the immunizations in the primary series. Only 6% of these 161 children would have been impossible or difficult to fully immunize by age 24 months using accelerated catch-up vaccination schedules., Conclusions: Children who enrolled in an HMO between 12 and 17 months of age were less likely than those who enrolled earlier in life to be fully immunized by age 24 months, but it would be feasible to bring almost all of them up to date by that age. Including such children in immunization measures, either together with earlier-enrolled children or as a separate stratum, would expand the scope of the quality of care under evaluation.

Objectives: This study investigates the use of data from automated systems within a large managed care plan to create indicators of clinical quality., Methods: Measures from the first year of Health Plan Employer Data and Information Set, HEDIS 2.0, are used to compare chart review and automated analysis methodologies. The contributions of various data systems in creating clinical quality measures are evaluated., Results: Chart review data usually are better for creating clinical quality indicators, although the level of agreement between the two methodologies often is quite high. Computerized patient record systems are found to be the most reliable automated data source, and automated claims are found to be the least reliable. This study's findings suggest that automated encounter systems may provide relatively reliable data., Conclusions: Managed care plans may not want to rely on automated data alone for clinical quality measurement. The results reported here support the use of combined methodologies such as the "hybrid" method, which utilizes both automated and chart-review data.

Many information technologies have been or could be applied to efforts to measure and improve health care quality. This article reviews the recent literature in medical informatics, quality assurance, and quality improvement to identify these and current, emerging, and potential technologies.

The computerized outpatient records of the Harvard Community Health Plan, a 230,000-member health maintenance organization, were used to determine the frequency with which serum sickness is recognized in the practice setting after exposure to antibiotics. The medical records of 3,487 children who had been prescribed cefaclor or amoxicillin were searched in December 1986 for coded diagnoses of serum sickness and related conditions. Diagnoses were validated by blinded review of dictated and written office notes. There were 12 cases of serum sickness in 11,523 child-years. During this time, these children were prescribed 13,487 courses of amoxicillin, 5,597 courses of trimethoprim-sulfamethoxazole (TMP-SMZ), 3,553 courses of cefaclor, and 2,325 courses of penicillin V. Serum sickness was considered to be antibiotic-related if it occurred within 20 days of initiation of antibiotic therapy. Five cases were temporally associated with cefaclor, one with both amoxicillin and TMP-SMZ, four with TMP-SMZ alone, and one with penicillin V alone. One case was not associated with any antibiotic exposure. All antibiotic-related cases occurred in children under age 6 years who were treated for otitis media or streptococcal pharyngitis, and most cases began 7-11 days after initiation of antibiotic. All but one of the antibiotic-related cases occurred in children who had relatively heavy lifetime antibiotic exposure. The risk of serum sickness was significantly elevated after cefaclor compared with amoxicillin, even among the most heavily exposed children (relative risk = 14.8, p = 0.01, 95% confidence interval 2.0-352.0). Most cases prompted several physician visits, but none required hospitalization.

Methodologies for determining levels of U.S. physician requirement are as complex as they are controversial. One long-standing controversy surrounds the advantages of an epidemiologic need-based forecasting model over an economic demand-based model. This paper examines the need-based requirement approach as recently developed by the Graduate Medical Education National Advisory Committee (GMENAC). This approach is assessed for the pediatric specialty by replicating the original model using data derived from three large HMOs. These data were empirically obtained from the computerized visit records of more than 10,000 children at each of the three plans and normatively from Delphi panels consisting of pediatric practitioners at those same sites. Results indicate that if U.S. pediatrician requirement was estimated on the basis of HMO practice data, rather than GMENAC's national ideals, fewer physicians would be needed. The pediatric requirement based on local Delphi panel judgments was lower still, due in great part to the suggestion of increased delegation rates to nonphysician providers. Implications of this comparative analysis for the GMENAC need-based methodology and future physician requirement modeling efforts are discussed.

This paper highlights several studies conducted by a quality assurance research program in a health maintenance organization which provide tangible support for the need to integrate patient interventions with quality assurance activities. A model for quality assurance is described which proposes to include identification of the role of patient behavior in affecting health outcomes, and to develop intervention mechanisms directed towards patients. The experiences from this investigation suggest the need to add patient interventions to the traditional quality assurance efforts of affecting system and provider behaviors. Four of the ten projects conducted are described to illustrate these issues. Topics reviewed are maternity care, hypertension, management of breast disease, and pap smears for high-risk women. These recommendations are particularly appropriate for health maintenance organizations since both quality assurance and health education programs are mandated in the 1973 HMO Act. However, these findings are of relevance to other ambulatory care settings as well.

This project utilized an automated record system, COSTAR, to assess and improve the quality of care in managing syphilis in a health maintenance organization. A scoring tool was developed to assess care. There were four experimental periods, each lasting one year. The periods were Baseline (no intervention), Education (publication of guidelines and an educational session), Reminder (deficiencies in care brought to the attention of providers in time to permit correction), and Post-reminder (no intervention). Scores for overall management of syphilis rose from 70.4 to 90.5% during the Reminder period and did not deteriorate significantly in the Post-reminder period. Scores in the Education period were not significantly higher than baseline. The cost of the system was $195 per year. An inexpensive reminder system was effective in bringing about a significant improvement in quality of care for syphilis, and the effect persisted for at least a year after the system was discontinued.

In a cross-over design, three interventions were tested for their impact on the rate of use of 12 commonly ordered blood tests and roentgenograms among internists in a health maintenance organization. Overall use fell by 14.2% in a 16-week period during which physicians received confidential feedback on their individual rates of use compared with peers (cost feedback). Eleven of 12 tests showed some decrease. Similar feedback on rates of abnormal test results (yield feedback) and a program of test-specific education failed to show a consistent effect. Variability in rates of test use among physicians, as measured by the coefficient of variation, fell by 8.3% with cost feedback, by 1.3% with yield feedback, and by 2.3% with education, but these changes were inconsistent across tests.