INTRODUCTION

Four essential features of primary care, identified by Barbara Starfield, include the following: first contact, continuity, coordination, and comprehensiveness.1 Comprehensiveness, defined as offering a “range of services broad enough to care for all health needs except those too uncommon to maintain competence,” includes meeting the large majority of each patient’s physical and mental healthcare needs.1 However, while comprehensiveness is thought to be in decline among primary care physicians (PCPs), little has been done to capture its value in policy-relevant terms such as cost and quality, important in this era of value-based purchasing.2 A recent study developed and tested a measure of comprehensiveness among family physicians revealed a modest association with lower healthcare utilization and costs among Medicare patients.3 This paper extends this work by comparing family physicians and general internists in comprehensiveness and its impact on similar outcomes.

METHODS

We obtained all 2011 Part A and Part B Medicare claims for fee-for-service Medicare beneficiaries seen at least once by physicians in a nationally representative sample of PCPs drawn from the 2010 AMA Masterfile, using specialty codes to locate all GIM/FPs without second specialty. We excluded hospitalists (those with more than 80% of their E&M claims delivered in the hospital setting). To link beneficiaries to a PCP, we identified the one who provided most of the E&M office services for each beneficiary. We used the Berenson-Eggers Typology of Service (BETOS) codes to construct a comprehensiveness measure by capturing the range of services performed by primary care physicians.3 We counted the total number of BETOS codes (excluding services infrequently provided by PCPs) that accounted for 90% of the physician’s services. Our sample is further restricted to patients 65 years or older and to PCPs with 30 or more patients. We used Stata 14.2 to perform multi-level linear regression, controlling for patient- and physician-level characteristics (see note of Table 2).

RESULTS

From the 2011 Medicare data, we identified 1,107,709 beneficiaries cared for by 2682 general internists and 3396 family physicians. General internists and family physicians varied in their provision of services whether using all services or when restricted to the 90% most common services provided by a physician (Table 1). More general internists billed for hospital-based codes (p < 0.001), while family physicians were more likely to provide care in emergency departments.

Table 1 Percentage of Family Physicians and General Internists Providing Select BETOS Services, by Specialty and Selection Criteria

In our multivariate analyses, we found a substantial negative effect of comprehensiveness on charges and hospitalizations, with increasing comprehensiveness associated with fewer hospitalizations and lower costs for both internists and family physicians (Table 2). With respect to Part A and Part B allowed charges, our combined model indicates that the patients of general internists had spending that is about 7.4% higher than the patients obtaining care from family physicians. Across specifications, there is about a 22–26% difference in overall spending between the patients obtaining most of their care from physicians in the lowest (BETOS score of 1) and highest (6–9) groups. There is no statistically significant difference across specialties (p = 0.48). Similarly, for hospitalizations, there is no specialty difference in the relation between hospitalizations and comprehensiveness (p = 0.608).

Table 2 Association Between BETOS Comprehensiveness Measure and Part A and Part B Allowed Charges and Hospitalizations

DISCUSSION

Despite differences in training and practice, general internists share with family physicians associations between increasing comprehensiveness and lower Medicare beneficiary costs highlighting the importance of comprehensiveness in primary care regardless of the type of primary care physician providing the care. The finding that general internists have patients with higher allowed charges is perhaps due to their concentration in higher spending areas.4 These findings further validate a novel use of claims and BETOS codes to generate and test a potential provider-level measure of practice patterns relevant to cost and quality in healthcare systems.1 This study has notable limitations, including its assessment of only a single year of claims and a Medicare population. Patient experience, an important facet of high-value care not captured in claims, was thereby not considered in our model. Additionally, alternative measures such as “new problem management” and “involvement in patient conditions” described by O’Malley and Rich could further capture comprehensiveness with more reliability.5 Future research should use other source data and study additional populations, as well as focus on which specific BETOS codes are associated with lower healthcare costs, fewer hospitalizations, and other policy-relevant outcomes.