The Contribution of Patient, Primary Care Physician, and Primary Care Clinic Factors to Good Bone Health Care.

BACKGROUND/OBJECTIVE: Patient, provider, and system factors can contribute to chronic care management and outcomes. Few studies have examined these multilevel associations with osteoporosis care and outcomes. We examined how key process and structural factors at the patient, primary care physician (PCP), and primary care clinic (PCC) levels were associated with guideline concordant osteoporosis pharmacotherapy, daily calcium intake, vitamin D supplementation, and weekly exercise sessions at 52 weeks following enrollment in a cluster randomized controlled trial. METHODS: We conducted a secondary analysis of observational data from 1 site of the trial. The study sample included 1996 men and women ≥ 50 years of age at the time of recruitment following completion of a dual-energy x-ray absorptiometry (DXA) scan and who had complete data at baseline and 52 weeks. Our primary independent variable was "relationship continuity": the DXA-ordering provider was the patient's PCP. Hierarchical linear and logistic regression accounted for patient, provider, and primary care clinic characteristics. RESULTS: In multivariable regression analyses, relationship continuity (ie, the PCP ordered the study DXA) was associated with higher average daily calcium intake and likelihood of vitamin D supplementation at 52 weeks. No PCP or primary care clinic factors were associated with osteoporosis care. CONCLUSIONS: The relationship continuity, in which the provider ordering a DXA is the patient's PCP and therefore also presents the results of a DXA, may help to promote patient behaviors associated with good bone health.

Provider type and management of common visits in primary care.

OBJECTIVES: Debate continues on whether nurse practitioners (NPs) and physician assistants (PAs) are more likely to order ancillary services, or order more costly services among alternatives, than primary care physicians (PCPs). We compared prescription medication and diagnostic service orders associated with NP/PA versus PCP visits for management of neck or back (N/B) pain or acute respiratory infection (ARI). STUDY DESIGN: Retrospective, observational study of visits from January 2006 through March 2008 in the adult primary care practice of Kaiser Permanente in Atlanta, Georgia. METHODS: Data were obtained from electronic health records. NP/PA and PCP visits for N/B pain or ARI were propensity score matched on patient age, gender, and comorbidities. RESULTS: On propensity score-matched N/B pain visits (n = 6724), NP/PAs were less likely than PCPs to order a computed tomography (CT)/magnetic resonance image (MRI) scan (2.1% vs 3.3%, respectively) or narcotic analgesic (26.9% vs 28.5%) and more likely to order a nonnarcotic analgesic (13.5% vs 8.5%) or muscle relaxant (45.8% vs 42.5%) (all P ≤.05). On propensity score-matched ARI visits (n = 24,190), NP/PAs were more likely than PCPs to order any antibiotic medication (73.7% vs 65.8%), but less likely to order an x-ray (6.3% vs 8.6%), broad-spectrum antibiotic (41.5% vs 42.5%), or rapid strep test (6.3% vs 9.7%) (all P ≤.05). CONCLUSIONS: In the multidisciplinary primary care practice of this health maintenance organization, NP/PAs attending visits for N/B pain or ARI were less likely than PCPs to order advanced diagnostic radiology imaging services, to prescribe narcotic analgesics, and/or to prescribe broad-spectrum antibiotics.

The Impact of Using Mid-level Providers in Face-to-Face Primary Care on Health Care Utilization.

BACKGROUND: There has been concern that greater use of nurse practitioners (NP) and physician assistants (PA) in face-to-face primary care may increase utilization and spending. OBJECTIVE: To evaluate a natural experiment within Kaiser Permanente in Georgia in the use of NP/PA in primary care. STUDY DESIGN: From 2006 through early 2008 (the preperiod), each NP or PA was paired with a physician to manage a patient panel. In early 2008, NPs and PAs were removed from all face-to-face primary care. Using the 2006-2010 data, we applied a difference-in-differences analytic approach at the clinic level due to patient triage between a NP/PA and a physician. Clinics were classified into 3 different groups based on the percentage of visits by NP/PA during the preperiod: high (over 20% in-person primary care visits attended by NP/PAs), medium (5%-20%), and low (<5%) NP/PA model clinics. MEASURES: Referrals to specialist physicians; emergency department visits and inpatient admissions; and advanced diagnostic imaging services. RESULTS: Compared with the low NP/PA model, the high NP/PA model and the medium NP/PA model were associated with 4.9% and 5.1% fewer specialist referrals, respectively (P<0.05 for both estimates); the high NP/PA model and the medium NP/PA model also showed fewer hospitalizations and emergency department visits and fewer advanced diagnostic imaging services, but none of these was statistically significant. CONCLUSIONS: We find no evidence to support concerns that under a physician's supervision, NPs and PAs increase utilization and spending.

Identification of Stevens-Johnson syndrome and toxic epidermal necrolysis in electronic health record databases.

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) carry a high mortality risk. While identifying clinical and genetic risk factors for these conditions has been hindered by their rarity, large electronic health databases hold promise for identifying large numbers of cases for study, especially with the introduction in 2008 of ICD-9 codes more specific for these conditions. OBJECTIVE: The objective of this study is to estimate the validity of ICD-9 codes for ascertaining SJS/TEN in 12 collaborating research units in the USA, covering almost 60 million lives. METHODS: From the electronic databases at each site, we ascertained potential cases of SJS/TEN using ICD-9 codes. At five sites, a subset of medical records was abstracted and standardized criteria applied by board-certified dermatologists to adjudicate diagnoses. Multivariate logistic regression was used to identify factors independently associated with validated SJS/TEN cases. RESULTS: A total of 56 591 potential cases of SJS/TEN were identified. A subset of 276 charts was selected for adjudication and 39 (of the 276) were confirmed as SJS/TEN. Patients with the ICD-9 codes introduced after 2008 were more likely to be confirmed as cases (OR 3.32; 95%CI 0.82, 13.47) than those identified in earlier years. Likelihood of case status increased with length of hospitalization. Applying the probability of case status to the 56 591 potential cases, we estimated 475-875 to be valid SJS/TEN cases. CONCLUSION: Newer ICD-9 codes, along with length of hospitalization, identified patients with a high likelihood of SJS/TEN. This is important for identification of subjects for future pharmacogenomics studies.