Self-care Perception in Physicians and Patients With Type 2 Diabetes.

Objectives: We sought to assess self-care perception consistency between patients with type 2 diabetes mellitus and their physicians and characterize the psychosocial parameters influencing their respective perceptions. Methods: We conducted a study of 627 patients with type 2 diabetes and their physicians throughout 12 family medicine residency clinics in Texas to analyze their respective perceptions of patient self-care. We utilized linear regression testing. Results: There was a lack of consistency in self-care perception between patients and physicians 31.2% of the time. Patient self-care perception was best predicted by the patients' diabetes distress scores (P<.001) and last HbA1c (P<.001). Conclusion: Measuring a patient's diabetes distress may help physicians better understand a patient's self-care perception. By understanding a patient's self-care perception, the physician may be able to explore these notions of positive or negative self-care perception and even gently correct them when necessary. This may allow physicians to better align themselves with the patient, provide behavioral health interventions, and better target and communicate effective plans. Practical Implications: We suggest periodic assessment of diabetes distress and self-care perception to inform the need for education to improve self-efficacy.

Comfort With Uncertainty in Medical Students and Their Residency Choice: A Residency Research Network of Texas Study.

BACKGROUND AND OBJECTIVES: Little is known about how comfort with uncertainty (CwU) influences career choice in medical students. The authors of this study examined the correlation between CwU and primary care career choice. METHODS: In academic years 2017-2018 and 2018-2019, the authors distributed surveys to third-year medical students from eight US medical schools, seven in Texas. The survey tool included two CwU scales and one comfort with ambiguity scale. Other questions covered career plans, family and personal background, and student debt. In the subjects' fourth year of medical school, authors obtained match data from the medical schools and the authors further communicated with the students where indicated. The primary outcome was the composite score of the three scales correlated to career choice, with a focus on primary care and family medicine. RESULTS: Among 642 participants, there was no difference in CwU scores between students who matched into primary care versus specialty fields (3.39 vs 3.37 average of three scales, P=.65, each individual scale NS) or family medicine (FM) vs all other fields (3.39 vs 3.37 average of three scales, P=.81). Other bivariate predictors of FM choice were more similar than different to previous studies, such as osteopathic more likely than allopathic, lower family income, planning to care for underserved populations, and had a primary care role model. Logistic regression found the two biggest predictors of FM were osteopathic training and the importance of educating patients about health promotion and disease prevention. CONCLUSIONS: We found no correlation between CwU and medical student career choice for primary care or FM. We discuss confounding factors that may impact results, as well as recommendations for medication education and public policy.

Adverse Childhood Experiences and Diabetes: Testing Violence and Distress Mediational Pathways in Family Medicine Patients.

Type 2 diabetes mellitus (diabetes) is increasing in frequency and creating a significant burden on the United States healthcare system. Adverse childhood experiences (ACE) and interpersonal violence (IV) have been shown to have detrimental effects on mental and physical health. How ACE can influence IV as an adult and how this can influence the management of diabetes is not known. The purpose of the current study is to understand the relationship between violence and social determinants of health (SDoH), and its effect on patients with type 2 diabetes mellitus. A practiced-based research network (PBRN) of family medicine residency programs was utilized to collect cross-sectional data from seven family medicine residency program primary care clinics. In total, 581 participants with type 2 diabetes were recruited. A serial/parallel mediation model were analyzed. The majority of participants (58.3%) had a Hemoglobin A1c (HbA1c) that was not controlled. ACE was associated with an increase in Hurt-Insult-Threaten-Scream (HITS) scores, which in turn was positively associated with an increase in emotional burden, and finally, emotional burden decreased the likelihood that one's HbA1c was controlled (Effect = -.054, SE = .026 CI [-.115, -.013]). This indirect pathway remained significant even after controlling for several SDoH and gender. The impact of ACE persists into adulthood by altering behaviors that make adults more prone to experiencing family/partner violence. This in turn makes one more emotionally distressed about their diabetes, which influences how people manage their chronic condition. Family physicians should consider screening for both ACE and family/partner violence in those patients with poorly controlled diabetes.

Emergency department presentation of opioid use disorder and alcohol use disorder.

Mixing alcohol and opioid prescription medications can have serious health consequences. This study examines demographic and geographic differences in opioid use disorders (OUD) and alcohol use disorders (AUD) in emergency department (ED) presentations in the state of Texas. Using all diagnosis codes, the study examined discharge records for ED visits related to AUD and OUD in Texas for 2017. The study classified visits into three mutually exclusive groups (AUD-only, OUD-only, and AUD/OUD) and reported the number of visits, fatalities, total charges, proportions, and rates per 100,000 population by patient demographic characteristics. Chi square statistics assessed the association between patient characteristics and ED visit type, and the study used analysis of variance to compare ED visit rates by patient demographics. The study also fitted a multinomial logistic regression w to predict ED visit type by patient demographic and geographic characteristics. There were 221,363 OUD and AUD ED visits from Texans in 2017. Among them, 3863 had both AUD and OUD. There were 2443 fatalities related to AUD-only ED visits, whereas this rate was 292 for OUD-only ED visits. The majority of these patients had Medicare and Medicaid. AUD-only ED visits were more prevalent (680.7 vs 112.5 per 100,000 population) and resulted in higher overall charges than OUD-only ED visits ($6.1 billion vs $1 billion in total charges). However, AUD/OUD ED visits resulted in higher total charges on average than either OUD-only or AUD-only ED visits. Compared to patients with outpatient discharge, patients with inpatient admissions were more likely to belong to the OUD-only visit group (OR = 1.20, 95% CI: 1.17-1.23) or the AUD/OUD visit group (OR = 2.44, 95% CI: 2.28-2.61) than to the AUD-only visit group. Compared to urban patients, rural patients were less likely to belong to OUD-related visit groups than the AUD-only visit group. In conclusions, AUD was more prevalent than OUD among ED visits and resulted in a higher number of fatalities and higher medical charges. Current health policy regarding substance use that is heavily tilted toward curbing the opioid crisis remains woefully tolerant to AUDs. While efforts to curb opioid misuse should continue, future efforts should raise awareness among ED providers of the disease burden of and social harms caused by alcoholism and alcohol addiction.

Aiming Beyond: A Pharmacist Impact on 90-Day Readmissions and Clinical Outcomes Within a Family Medicine Service.

Previous studies have shown pharmacists positively impact 30-day readmission rates. However, there is limited data regarding the effect of clinical pharmacist (CP) follow-up on 90-day readmission or evaluation of disease-specific goals after hospitalization. Investigators analyzed the impact of postdischarge extended CP follow-up within a family medicine service (FMS). The primary end point was all-cause 90-day readmission rates. Secondary end points included all-cause 30- and 60-day readmission rates and the achievement of disease-specific goals postdischarge. Retrospective chart review was performed for patients admitted from August 2016 to November 2017 who were seen by a physician within the FMS 14 days postdischarge. Fourteen percent of patients within the CP intervention group were readmitted within 90 days in comparison to 22% in the standard of care group (P = .244). Readmission rates at 30 and 60 days were as follows: intervention group 2%, 10%, and standard of care group 16%, 22% (P = .015, P = .089, respectively). In addition, multiple patients with uncontrolled diabetes who completed CP visits upon hospital discharge met glycemic goals at the end of the study time period. Despite inclusion of the CP in postdischarge care, 90-day readmission rate remained unchanged.