Building Authentic Connection in the Patient-Physician Relationship.

INTRODUCTION/OBJECTIVES: Delivering optimal patient care is impacted by a physician's ability to build trusting relationships with patients. Identifying techniques for rapport building is important for promoting patient-physician collaboration and improved patient outcomes. This study sought to characterize the approaches highly skilled primary care physicians (PCPs) use to effectively connect with diverse patients. METHODS: Using an inductive thematic analysis approach, we analyzed semi-structured interview transcripts with 10 PCPs identified by leadership and/or colleagues for having exceptional patient communication skills. PCPs practiced in 3 diverse clinic settings: (1) academic medical center, (2) Veterans Affairs clinic, and (3) safety-net community clinic. RESULTS AND CONCLUSIONS: The thematic analysis yielded 5 themes that enable physicians to establish connections with patients: Respect for the Patient, Engaged Curiosity, Focused Listening, Mutual Participation, and Self-Awareness. Underlying all of these themes was a quality of authenticity, or a state of symmetry between one's internal experience and external words and actions. Adopting these communication techniques while allowing for adaptability in order to remain authentic in one's interactions with patients may facilitate improved connection and trust with patients. Encouraging physician authenticity in the patient-physician relationship supports a shift toward relationship-centered care. Additional medical education training is needed to facilitate authentic connection between physicians and patients.

Continuity of Care: A Primer for Family Medicine Residencies.

Continuity of care has been an identifying characteristic of family medicine since its inception and is an essential ingredient for high-functioning health care teams. Many benefits, including the quadruple aim of enhancing patient experience, improving population health, reducing costs, and improving care team well-being, are ascribed to continuity of care. In 2023, the Accreditation Council for Graduate Medical Education (ACGME) added two new continuity requirements-annual patient-sided continuity and annual resident-sided continuity-in family medicine training programs. This article reviews continuity of care as it applies to family medicine training programs. We discuss the various types of continuity and issues surrounding the measurement of continuity. A generally agreed upon definition of patient-sided and resident-sided continuity is presented to allow programs to begin to collect the necessary data. Especially within resident training programs, intricacies associated with maintaining continuity of care, such as empanelment, resident turnover, and scheduling, are discussed. The importance of right-sizing resident panels is highlighted, and a mechanism for accomplishing this is presented. The recent ACGME requirements represent a cultural shift from measuring resident experience based on volume to measuring resident continuity. This cultural shift forces family medicine training programs to adapt their various systems, policies, and procedures to emphasize continuity. We hope this manuscript's review of several facets of contuinuity, some unique to training programs, helps programs ensure compliance with the ACGME requirements.

Supporting Family Physician Maternity Care Providers.

Maternity care access in the United States is in crisis. The American Congress of Obstetrics and Gynecology projects that by 2030 there will be a nationwide shortage of 9,000 obstetrician-gynecologists (OB/GYNs). Midwives and OB/GYNs have been called upon to address this crisis, yet in underserved areas, family physicians are often providing a majority of this care. Family medicine maternity care, a natural fit for the discipline, has been on sharp decline in recent years for many reasons including difficulties cultivating interdisciplinary relationships, navigating privileging, developing and maintaining adequate volume/competency, and preventing burnout. In 2016 and 2017, workshops were held among family medicine educators with resultant recommendations for essential strategies to support family physician maternity care providers. This article summarizes these strategies, provides guidance, and highlights the role family physicians have in addressing maternity care access for the underserved as well as presenting innovative ideas to train and retain rural family physician maternity care providers.

Diabetes and depression: does worsening control of diabetes lead to poorer depression outcomes?

RATIONALE, AIMS AND OBJECTIVES: The relationship between diabetes and depression is complex. The aim of this study was to study the impact of diabetic control in depressed primary care patients with diabetes on clinical remission of their depression at 6 months. METHODS: This study was a retrospective chart review analysis of 145 adult patients diagnosed with either major depressive disorder or dysthymia and had a score of 10 or greater on the PHQ-9. The dependent variable for this study was depression remission at 6 months. The independent variables for this study were age, gender, marital status, race, BMI and HbA1c level within 2 months prior to the time of depression diagnosis. RESULTS: Multiple logistic regression modelling demonstrated that initial diabetic control or obesity were not independent predictors of depression remission at 6 months after index date. Also, the odds for the diabetes being in control (HbA1c <8.0%) after 6 months was only associated with being in control at baseline (OR 5.549, CI 2.364-13.024, P < 0.001). CONCLUSIONS: Baseline diabetic control does not appear to be an independent predictor for depression outcomes at 6 months. The best predictor of diabetic control after the diagnosis of depression was previous control of diabetes.

Teaching residents electronic fetal monitoring: a national needs assessment.

BACKGROUND AND OBJECTIVES: Competence and standardization in Electronic Fetal Monitoring (EFM) interpretation are important elements for improving intrapartum fetal outcomes. Computer-based learning modules constitute a tool that can facilitate access and standardize education of EFM interpretation in family medicine residencies. The goals of this study were to determine current practices related to EFM education strategies in family medicine residency programs as well as evaluate the perceptions of residents' EFM competency and need for computer-based EFM learning. METHODS: We surveyed obstetrics curriculum directors at 423 family medicine residency programs using a 10-question, web-based survey. RESULTS: A total of 208 programs participated (49% response rate); 74% (151/204) of obstetrics curriculum directors reported a need for a new computer-based EFM tutorial. This need was reported while 33% (68/204) of programs reported already using a computer-based EFM resource, and 91% (178/196) reported having resident trainees with competent EFM interpretation skills. CONCLUSIONS: This national study of family medicine obstetrics curriculum directors identified a perceived need for computer-based EFM learning to enhance family medicine obstetrics training.

Diabetes and obesity not associated with 6-month remission rates for primary care patients with depression.

BACKGROUND: Complex interrelationships appear to exist among depression, diabetes, and obesity, and it has been proposed that both diabetes and obesity have an association with depression. OBJECTIVE: The purpose of our study was to explore the effect of obesity and diabetes on response to the treatment of depression. Our hypothesis was that obesity and the diagnosis of diabetes in primary care patients with depression would have no effects on depression remission rates 6 months after diagnosis. METHODS: A retrospective chart review analysis of 1894 adult (age ≥18y) primary care patients diagnosed with major depressive disorder or dysthymia and a Patient Health Questionnaire-9 score ≥10 from January 1, 2008, through September 30, 2012. Multiple logistic regression modeling retaining all independent variables was performed for the outcome of remission (Patient Health Questionnaire-9 < 5) 6 months after diagnosis. RESULTS: The presence of obesity (odds ratio = 0.937, 95% CI: 0.770-1.140, p = 0.514) or the diagnosis of diabetes (odds ratio = 0.740, 95% CI: 0.535-1.022, p = 0.068) did not affect the likelihood of remission, while controlling for the other independent variables. CONCLUSIONS: In primary care patients treated for depression, the presence of diabetes or obesity at the time of diagnosis of depression does not appear to significantly affect remission of depressive symptoms 6 months after diagnosis.

Impact of symptom remission on outpatient visits in depressed primary care patients treated with collaborative care management and usual care.

Depression symptoms contribute to significant morbidity and health care utilization. The aim of this study was to determine the impact of symptom improvement (to remission) on outpatient clinical visits by depressed primary care patients. This study was a retrospective chart review analysis of 1733 primary care patients enrolled into collaborative care management (CCM) or usual care (UC) with 6-month follow-up data. Baseline data (including demographic information, clinical diagnosis, and depression severity) and 6-month follow-up data (Patient Health Questionnaire scores and the number of outpatient visits utilized) were included in the data set. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured as was the presence of medical comorbidities. Multiple logistic regression analysis demonstrated that clinical remission at 6 months was an independent predictor of outpatient visit outlier status (>8 visits) (odds ratio [OR] 0.609, confidence interval (CI) 0.460-0.805, P<0.01) when controlling for all other independent variables including enrollment into CCM or UC. The OR of those patients not in remission at 6 months having outpatient visit outlier status was the inverse of this at 1.643 (CI 1.243-2.173). The most predictive variable for determining increased outpatient visit counts after diagnosis of depression was increased outpatient visits prior to diagnosis (OR 4.892, CI 3.655-6.548, P<0.01). In primary care patients treated for depression, successful treatment to remission at 6 months decreased the likelihood of the patient having more than 8 visits during the 6 months after diagnosis.

Future complexity of care tier affected by depression outcomes.

BACKGROUND: The inclusion of mental health issues in the evaluation of multimorbidity generally has been as the presence or absence of the condition rather than severity, complexity, or stage. The hypothesis for this study was that clinical outcome of the depression 6 months after enrollment into collaborative care management would have a role in predicting future complexity of care tier. METHODS: This study was a retrospective chart review of 1894 primary care patients who were diagnosed with major depressive disorder or dysthymia as of December 2012. Multiple logistic regression analysis was used to test the independent associations between each variable and the odds of being included in the higher tiers (HT) group. RESULTS: Age (odds ratio [OR] = 1.022, confidence interval [CI] = 1.013-1.030, P < .001), female gender (OR = 1.380, CI = 1.020-1.868, P = .037), being married (OR = 0.730, CI = 0.563-0.947, P = .018), and the presence of comorbidities (1, OR = 1.986, CI = 1.485-2.656, P < .001; ≥ 2, OR = 4.678, CI = 3.242-6.750, P < .001) were independently associated with future HT levels. The presence of persistent depressive symptoms (PHQ-9 ≥ 10) at 6 months conferred 2.280 (CI = 1.673-3.107, P < .001) times likely odds of HT level compared with clinical remission at 6 months. CONCLUSION: Patients with the diagnosis of major depression or dysthymia had greater odds of complex tier levels in the future, if depression was not treated to remission by 6 months. This study demonstrated the importance of the goal of significant improvement (ie, remission) of depression symptoms by 6 months (especially those older patients with more comorbidity) from entering into the higher complexity tiers.

Depression remission decreases outpatient utilization at 6 and 12 months after enrollment into collaborative care management.

Collaborative care management (CCM) for depression has been demonstrated to improve clinical outcomes. The impetus for this study was to determine if outpatient utilization patterns would be associated with depression outcomes. The hypothesis was that depression remission would be independently correlated with outpatient utilization at 6 and 12 months after enrollment into CCM. The study was a retrospective chart review analysis of 773 patients enrolled into CCM with 6- and 12-month follow-up data. The data set comprised baseline demographic data, patient intake self-assessment scores (Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder-7, Mood Disorder Questionnaire, and Alcohol Use Disorders Identification Test), the number of outpatient visits, and follow-up PHQ-9 scores. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured. With a logistic regression model for outpatient visit outlier status as the dependent variable, remission at 6 months (odds ratio [OR] 0.519, CI [confidence interval] 0.349-0.770, P=0.001) and remission at 12 months (OR 0.573, CI 0.354-0.927, P=0.023) were predictive. With this inverse relationship between remission and outlier status, those patients who were not in remission had an OR of 1.928 for outpatient visit outlier status at 6 months after enrollment and an OR of 1.745 at 12 months. Patients who improved clinically to remission while in CCM had decreased odds of outlier status for outpatient utilization at 6 and 12 months when controlling for all other study variables. Improvement in health care outcomes by CCM could translate into decreased outpatient utilization for depressed patients.

Epidemiology of polypharmacy among family medicine patients at hospital discharge.

BACKGROUND: Polypharmacy has been identified as a quality indicator, but no studies have been reported about the epidemiology of polypharmacy among hospital patients at discharge. METHODS: Records of 142 family medicine patients aged ≥65 years who were discharged from the hospital during the period November 2008 to October 2009 were extracted. Forty-six of these patients were readmitted within 30 days and the remaining 96 not readmitted within 30 days. Polypharmacy was measured as >16 medications at dismissal. Independent variables related to person (use of medical care in the 12 months prior to hospitalization, number of high-risk diagnoses, and demographic characteristics), place (living situation at admission and disposition location), and time (month of admission). Chronic obstructive pulmonary disease, cancer, diabetes mellitus, congestive heart failure, and coronary artery disease were diagnoses determined to be high-risk. RESULTS: Mean number of medications at dismissal was 13.5 and 23.2% of patients were prescribed more than 16 medications. No interactions were found between readmission status and any of the independent variables. Use of medical services in the previous year was not related to polypharmacy and no seasonal pattern was detected. Two or more high-risk diagnoses were independently related to polypharmacy (odds ratio [OR] = 4.75, confidence interval [CI] = 1.0-11.2, P = .00). Being discharged to a location with personal health services such as home care or a skilled nursing facility was also related to polypharmacy (OR = 3.07, CI = 1.3-7.2, P = .01). CONCLUSION: Drug reviews intended to reduce the rate of polypharmacy among discharged persons aged ≥65 years can be targeted at patients who have 2 or more high-risk diagnoses and at those discharged to receive personal health services either at home or in a convalescence facility.

Timely response to secure messages from primary care patients.

PURPOSE: To assess delays in response to patient secure e-mail messages in primary care. BACKGROUND: Secure electronic messages are initiated by primary care patients. Timely response is necessary for patient safety and quality. DATA SOURCE: A database of secure messages. SAMPLE: A random sample of 353 secure electronic messages initiated by primary care patients treated in 4 clinics. OUTCOME MEASURES: Message not opened after 12 hours or messages not responded to after 36 hours. RESULTS: A total of 8.5% of electronic messages were not opened within 12 hours, and 17.6% did not receive a response in 36 hours. Clinic location, being a clinic employee, and patient sex were not related to delays. Patients older than 50 years were more likely to receive a delayed response (25.7% delayed, P = .013). The risk of both kinds of delays was higher on weekends (P < .001 for both). CONCLUSION: The e-mail message system resulted in high rates of delayed response. Delays were concentrated on weekends (Friday-Sunday). Reducing delayed responses may require automatic rerouting of messages to message centers staffed 24-7 or other mechanisms to manage this after-hours work flow.

Plans to accommodate proposed maternity care training requirements: a national survey of family medicine directors of obstetrics curricula.

INTRODUCTION: Proposed changes to family medicine maternity care training requirements, including a 2-tiered basic and advanced curriculum, have raised questions about their perceived feasibility and impact. The goal of this study was to elicit family medicine obstetrics faculty plans to adopt changes in their maternity care training of family physicians. METHODS: We surveyed obstetrics curriculum directors at 423 family medicine residency programs, eliciting their plans to accommodate proposed maternity care training requirements. RESULTS: Two hundred nine programs participated (49.4% response rate). Of the curriculum adoption plans reported by directors, 41.7% anticipated using both curriculum models, 19.6% anticipated using the advanced model, 3.9% anticipated using the basic model, and 23.5% had no changes planned for their obstetrics curricula. CONCLUSIONS: Most programs plan structured changes, but a significant minority of programs plan no change to their curriculum based on proposed maternity care requirements.