Purpose: Hospital readmissions within 30 days of initial discharge occur frequently. In studies of elderly patients receiving Medicare, readmissions have been associated with poor-quality inpatient care, ineffective hospital-to-home transitions, patient characteristics, disease burden, and socioeconomic status. Among adult family medicine patients spanning a wide age range, we hypothesize that previous hospitalizations, length of stay, number of discharge medications, medical comorbidities, and patient demographics are associated with a greater risk of hospital readmission within 30 days.Methods: A retrospective case-control study of 276 family medicine inpatients was conducted to determine the factors associated with 30-day readmission. Bivariate statistics were computed and a multivariate analysis using logistic regression was performed to determine the independent effects of each factor.Results: Patients readmitted within 30 days had more hospitalizations, more emergency department visits, longer hospital stays, more comorbidities, and more discharge medications and were less likely to be married. Multivariate logistic regression found that hospitalization within the previous 12 months (odds ratio, 2.71) and long hospital stays (odds ratio, 2.16) were associated with 30-day readmission; being married (odds ratio, 0.54) had a protective effect.Conclusions: This study demonstrates that factors previously found to be associated with 30-day readmission among elderly patients receiving Medicare also apply to family medicine patients of all ages. It also demonstrates prior hospitalizations, length of stay, and marital status are useful proxies for many more complicated factors, such as disease burden, medical complexity, and social issues, that influence hospital readmission. (J Am Board Fam Med 2013;26:71-77.)

Logistic regression based classifiers yield only moderate performance when utilized to predict 30-day readmissions. The task is difficult due to the variety of underlying causes for readmission, nonlinearity, and the arbitrary time period of concern. More sophisticated classification techniques may be necessary to increase performance and allow patient centered medical homes to effectively focus efforts to reduce readmissions.

Purpose: The chronic disease model suggests continuity of care and team-based care can improve outcomes for multimorbidity patients and reduce hospitalizations. Continuity of care following admission has had mixed effects on readmission rates; however, its effect before admission has not been well studied. Increased outpatient care organization and continuity before admission is hypothesized to reduce the odds of readmission.Methods: In a cohort of 14,662 primary care patients from a Patient-Centered Medical Home (PCMH) practice, continuity of care in the 12 months before admission was assessed using 3 established metrics; usual provider continuity (UPC), dispersion continuity of care (COC), and sequence continuity (SECON). In addition, because these established metrics may not accurately reflect continuity in planned teambased care, a new metric called visit entropy (VE) was used to quantify the disorganization of visits. Multivariate logistic regression was performed to examine the relationship between readmission within 30 days and continuity while controlling for known readmission risk factors abstracted from an electronic medical record.Results: Higher VE was associated with readmission (odds ratio, 1.10; 95% confidence interval, 1.02 to 1.19). The continuity measures of UPC, COC, and SECON were not associated with readmission.

Background: Collaborative care management (CCM) has been shown to have superior outcomes to usual care (UC) for depressed patients with a fixed end point. This study was a survival analysis over time comparing CCM with UC using remission (9-item Patient Health Questionnaire [PHQ-9] score <5) and persistent depressive symptoms (PDSs; PHQ-9 score >10) as end points.Methods

Introduction: Team-based care has become an essential part of modern medical practice. Patient-centered medical homes often struggle to balance the dual competing goals of acute access and continuity of care. Multimorbidity patients may value continuity more than healthy patients, and thus may prefer to wait to see their primary care physician (PCP). Methods: A total of 1700 randomly selected healthy adults and multimorbidity patients were asked to rate satisfaction with care and presented with 4 acute and 4 chronic scenarios to choose an access and continuity preference in an anonymous mailed survey. Results: In all, 770 responses were obtained. All respondents preferred to be seen 2.5 days sooner for acute appointments. Multimorbidity patients preferred to wait 0.28 days longer for acute issues to see their PCP. Patients who were not satisfied with their care team preferred to wait 0.75 days to see their PCP. Those not satisfied with their PCP choose to be seen 0.38 days sooner by their care team or any physician. Conclusions: All patients prefer continuity of care with their PCP for chronic disease management and value quick access to care for acute problems. For acute visits, multimorbidity patients prefer to wait longer to see their PCP than healthy adults. Satisfaction also plays an important role in patients’ willingness to wait for an appointment with their PCP.

Objective: To determine the relationship of the emotional exhaustion domain of burnout with care team composition in a Midwestern primary care practice network. Participants and Methods: We studied 420 family medicine clinicians (253 physicians and 167 nurse practitioners/physician assistants [NP/PAs]) within a large integrated health system throughout 59 Midwestern communities. The observational cross-sectional study utilized a single-question clinician selfassessment of the emotional exhaustion domain of burnout on a scale of 0 (never) to 6 (daily) conducted

Background Depression is the second leading cause of death among young adults and a major cause of disability worldwide. Some studies suggest a disparity between rural and urban outcomes for depression. Collaborative Care Management (CCM) is effective in improving recovery from depression, but its effect within rural and urban populations has not been studied. Methods A retrospective cohort study of 3870 patients diagnosed with depression in a multi-site primary care practice that provided optional, free CCM was conducted. US Census data classified patients as living in an Urban Area, Urban Cluster, or Rural area and the distance they resided from their primary care clinic was calculated. Baseline demographics, clinical data, and standardized psychiatric assessments were collected. Six month Patient Health Questionnaire (PHQ 9) scores were used to judge remission (PHQ9 < 5) or Persistent Depressive Symptoms (PDS) (PHQ9 ≥ 10) in a multivariate model with interaction terms. Results Rural patients had improved adjusted odds of remission (AOR = 2.8) and PDS (AOR = 0.36) compared to urban area patients. The natural logarithm transformed distance to primary care clinic was significant for rural patients resulting in a lower odds of remission and increased odds of PDS with increasing distance from clinic. The marginal probability of remission or PDS for rural patients equaled that of urban area patients at a distance of 34 or 40 km respectively. Distance did not have an effect for urban cluster or urban area patients nor did distance interact with CCM. Conclusion Residing in a rural area had a beneficial effect on the recovery from depression. However this effect declined with increasing distance from the primary care clinic perhaps related to greater social isolation or difficulty accessing care. This distance effect was not seen for urban area or urban cluster patients. CCM was universally beneficial and did not interact with distance.

Introduction: Continuity of care is a key characteristic of primary care yet there is little agreement on an accepted measure of continuity.  Density (Usual Provider Continuity, Primary Provider Continuity), dispersion (Continuity of Care Index), and sequence (Sequence of Care Index) are often used measures, but they each have specific drawbacks when applied to patients with multi-comorbidity who are cared for within a patient-centered medical home practice.Methods: A new measure of continuity called Visit Entropy was developed using mathematical constructs from information theory and physics.  This was compared to four existing measures of continuity in a dataset of 811 hospitalized primary care patients.Results: Visit Entropy is inversely related to other measures of continuity of care.  It has a less skewed distribution and it helps differentiate the substantial number of patients at the extremes of other measures of continuity of care.  Visit Entropy also eliminates the problem of undefined values caused by division by zero seen in other continuity measures.Conclusions: Visit Entropy solves many of the shortcomings of existing continuity measures when applied to a dataset of primary care patients cared for within a medical home practice.  Further study is indicated to determine if Visit Entropy is associated with the benefits commonly ascribed to continuity of care and if it matches patient and physician perceptions of continuity of care.