Evaluating the efficacy of telephone-based outreach in addressing hypertension control among black men with severe hypertension: An observational study.

BACKGROUND: The high prevalence of uncontrolled hypertension (systolic blood pressure [SBP] ≥140 mmHg or diastolic blood pressure [DBP] ≥90 mmHg) in Black patients represents a significant racial health disparity in the United States. AIMS: This study evaluated the efficacy of a telephone-based strategy for inviting high-risk patients with severe hypertension to weekly self-management education classes. Further, the study assessed how the outreach intervention correlated with relevant quality improvement outcomes, including improved blood pressure and primary care follow-up among our clinic population of Black men with severe hypertension. METHODS: A cohort of 265 Black men aged ≥18 years with SBP ≥160 mmHg or DBP ≥100 mmHg at the most recent clinic visit were identified using Epic reports formatted for Federal Uniformed Data Set annual reporting. Telephone outreach was used to invite the cohort to attend weekly in-person classes facilitated by various healthcare professionals. Logistic regression was performed to determine the associations between being reached by phone with (1) class attendance and (2) follow-up appointment attendance. RESULTS: Most of the Black men were single (57.4%, n = 152), 49.1% had history of alcohol or substance use (n = 130), and 35.8% (n = 95) was uninsured. The average age was 55.6 years (SD = 11.6). After controlling for sociodemographic factors, being reached by phone was significantly associated with an increased likelihood of patient attendance at follow-up appointments (OR = 1.91, p = .038) but not with class attendance (OR = 2.45, p = .155). Patients who attended a follow-up appointment experienced significant reductions in both SBP and DBP at 9 months. LINKING EVIDENCE TO ACTION: Telephone outreach was labor-intensive but effective in keeping under-resourced patient populations engaged in primary care. Future work should aim to develop more efficient strategies for engaging high-risk patients in self-monitoring education to manage hypertension.

Patient expectations and preferences for community-based hypertension classes with implications for action.

BACKGROUND: Uncontrolled hypertension disproportionately affects Black men. Patient engagement with health promotion and health behavior programs for hypertension control is low. We held evidence-based hypertension classes at a Federally Qualified Health Center. AIMS: The aim of this project was to elicit patient preferences and expectations for community-based hypertension classes. METHODS: Group hypertension classes were held at a Federally Qualified Health Center. The priority population was Black men with hypertension. Semi-structured interviews were conducted with the group class attendees. Two independent coders performed content analysis using field notes from the interviews. RESULTS: Seven group class attendees were interviewed. Six interviewees were Black males, one was a Black female, and the mean age was 65.7 years. Content analysis of the interview field notes revealed five content areas: (1) Recommendation of Group Classes to a Friend, (2) Expectations for the Group Classes, (3) Reasons for Continued Attendance, (4) Lifestyle Changes and Adopting the Group Class Lessons, and (5) Feedback and Recommendations to Improve Group Classes. Findings suggest that creating a cultural context in which open, transparent discussion of blood pressure occur can be achieved. Thus, regarding acceptability, classes fulfilled and often exceeded the attendees' expectations and needs. LINKING EVIDENCE TO ACTION: Our findings suggest that community-based group classes are a viable intervention to contribute toward addressing the disparity of hypertension control among Black men. When designing peer-group interventions, taking patient preferences and expectations into account increases the effectiveness of these interventions. The qualitative narrative provided in this paper contributes to the development of similar community-based group classes for the management of severe hypertension.

Lessons from implementing community-based group classes for severe hypertension.

Due to the impact of persistent structural racism, Black men have low rates of hypertension treatment and control despite having high rates of hypertension-related mortality. Peer-based education can improve blood pressure monitoring and lower blood pressure in Black men with hypertension. To address this disparity, we implemented weekly community-based group classes for severe hypertension at a Federally Qualified Health Center. After 9 months, 28 classes were held and 96 individuals were served. Fifty-six percent of the person-hours of attendance have been by Black men. Seven individuals were interviewed about their perspectives and preferences for the classes. They reported that the peer-based model of the group classes was advantageous, and they would recommend the classes to a friend. Successes of implementation included (a) ability to facilitate medication adjustments for participants with blood pressure readings that were over target goal, (b) capacity to give participants take-home blood pressure monitors, (c) and the community-centered approach. Challenges included variability in attendance by participants and retention of individuals with uncontrolled hypertension in primary care. These findings have implications for other Federally Qualified Health Centers seeking to design similar health promotion programs and policy makers evaluating the funding and reimbursement models for community-based disease management programs.

Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture.

OBJECTIVES: To evaluate a machine learning model designed to predict mortality for Medicare beneficiaries aged >65 years treated for hip fracture in Inpatient Rehabilitation Facilities (IRFs). DESIGN: Retrospective design/cohort analysis of Centers for Medicare & Medicaid Services Inpatient Rehabilitation Facility-Patient Assessment Instrument data. SETTING AND PARTICIPANTS: A total of 17,140 persons admitted to Medicare-certified IRFs in 2015 following hospitalization for hip fracture. MEASURES: Patient characteristics include sociodemographic (age, gender, race, and social support) and clinical factors (functional status at admission, chronic conditions) and IRF length of stay. Outcomes were 30-day and 1-year all-cause mortality. We trained and evaluated 2 classification models, logistic regression and a multilayer perceptron (MLP), to predict the probability of 30-day and 1-year mortality and evaluated the calibration, discrimination, and precision of the models. RESULTS: For 30-day mortality, MLP performed well [acc = 0.74, area under the receiver operating characteristic curve (AUROC) = 0.76, avg prec = 0.10, slope = 1.14] as did logistic regression (acc = 0.78, AUROC = 0.76, avg prec = 0.09, slope = 1.20). For 1-year mortality, the performances were similar for both MLP (acc = 0.68, AUROC = 0.75, avg prec = 0.32, slope = 0.96) and logistic regression (acc = 0.68, AUROC = 0.75, avg prec = 0.32, slope = 0.95). CONCLUSION AND IMPLICATIONS: A scoring system based on logistic regression may be more feasible to run in current electronic medical records. But MLP models may reduce cognitive burden and increase ability to calibrate to local data, yielding clinical specificity in mortality prediction so that palliative care resources may be allocated more effectively.