Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

BACKGROUND

The Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) unites general and subspecialty medical staff at the 7 medical schools in Ohio with community and public health partnerships to improve cardiovascular and diabetes health outcomes and eliminate disparities in Ohio's Medicaid population. Although statewide collaboratives exist to address health improvements, few deploy needs assessments to inform their work.

OBJECTIVE

Cardi-OH conducts an annual needs assessment to identify high-priority clinical topics, screening practices, policy changes for home monitoring devices and referrals, and preferences for the dissemination and implementation of evidence-based best practices. The results of the statewide needs assessment could also be used by others interested in disseminating best practices to primary care teams.

METHODS

A cross-sectional survey was distributed electronically via REDCap (Research Electronic Data Capture; Vanderbilt University) to both Cardi-OH grant-funded and non-grant-funded members (ie, people who have engaged with Cardi-OH but are not funded by the grant).

RESULTS

In total, 88% (103/117) of Cardi-OH grant-funded members and 8.14% (98/1204) of non-grant-funded members completed the needs assessment survey. Of these, 51.5% (53/103) of Cardi-OH grant-funded members and 47% (46/98) of non-grant-funded members provided direct clinical care. The top cardiovascular medicine and diabetes clinical topics for Cardi-OH grant-funded members (clinical and nonclinical) were lifestyle prescriptions (50/103, 48.5%), atypical diabetes (38/103, 36.9%), COVID-19 and cardiovascular disease (CVD; 38/103, 36.9%), and mental health and CVD (38/103, 36.9%). For non-grant-funded members, the top topics were lifestyle prescriptions (53/98, 54%), mental health and CVD (39/98, 40%), alcohol and CVD (27/98, 28%), and cardiovascular complications (27/98, 28%). Regarding social determinants of health, Cardi-OH grant-funded members prioritized 3 topics: weight bias and stigma (44/103, 42.7%), family-focused interventions (40/103, 38.8%), and adverse childhood events (37/103, 35.9%). Non-grant-funded members' choices were family-focused interventions (51/98, 52%), implicit bias (43/98, 44%), and adverse childhood events (39/98, 40%). Assessment of other risk factors for CVD and diabetes across grant- and non-grant-funded members revealed screening for social determinants of health in approximately 50% of patients in each practice, whereas some frequency of depression and substance abuse screening occurred in 80% to 90% of the patients. Access to best practice home monitoring devices was challenging, with 30% (16/53) and 41% (19/46) of clinical grant-funded and non-grant-funded members reporting challenges in obtaining home blood pressure monitoring devices and 68% (36/53) and 43% (20/46) reporting challenges with continuous glucose monitors.

CONCLUSIONS

Cardi-OH grant- and non-grant-funded members shared the following high-priority topics: lifestyle prescriptions, CVD and mental health, family-focused interventions, alcohol and CVD, and adverse childhood experiences. Identifying high-priority educational topics and preferred delivery modalities for evidence-based materials is essential for ensuring that the dissemination of resources is practical and useful for providers.

Using machine learning to predict help-seeking among 2016–2018 Pregnancy Risk Assessment Monitoring System participants with postpartum depression symptoms

Background:

Despite the importance of early identification and treatment, postpartum depression often remains largely undiagnosed with unreported symptoms. While research has identified several factors as prompting help-seeking for postpartum depression symptoms, no research has examined help-seeking for postpartum depression using data from a multi-state/jurisdictional survey analyzed with machine learning techniques.

Objectives:

This study examines help-seeking among people with postpartum depression symptoms using and demonstrating the utility of machine learning techniques.

Methods:

Data from the 2016–2018 Pregnancy Risk Assessment Monitoring System, a cross-sectional survey matched with birth certificate data, were used. Six US states/jurisdictions included the outcome help-seeking for postpartum depression symptoms and were used in the analysis. An ensemble method, “Super Learner,” was used to identify the best combination of algorithms and most important variables that predict help-seeking among 1920 recently pregnant people who screen positive for postpartum depression symptoms.

Results:

The Super Learner predicted well and had an area under the receiver operating curve of 87.95%. It outperformed the highest weighted algorithms which were conditional random forest and stochastic gradient boosting. The following variables were consistently among the top 10 most important variables across the algorithms for predicting increased help-seeking: participants who reported having been diagnosed with postpartum depression, having depression during pregnancy, living in particular US states, being a White compared to Black or Asian American individual, and having a higher maternal body mass index at the time of the survey.

Conclusion:

These results show the utility of using ensemble machine learning techniques to examine complex topics like help-seeking. Healthcare providers should consider the factors identified in this study when screening and conducting outreach and follow-up for postpartum depression symptoms.

Reimagining proactive strategic planning toward patient-centered care: processes and outcomes in a medical school's department of family and community medicine

Purpose

A detailed strategic planning process is presented that entails several beneficial and effective strategies and goals for interdisciplinary academic, clinical and/or service departments. This strategic planning process emerged due to the need to adapt to organizational and structural changes within an institution of higher medical education.

Design/methodology/approach

A strategic planning framework was developed, along with an inclusive process that used an appreciative inquiry methodology, to examine past and present strengths and potentials in a diverse, interdisciplinary family and community medicine department.

Findings

The success of this strategic plan and relevant approaches is evidenced by the development of a community medicine course, student-run free clinic to meet the needs of underserved patients, an increase in primary care research and increase in student choice of family medicine as specialty choice.

Research limitations/implications

The described strategic planning process serves as an illustration of the benefits and limitations of identified approaches and outcomes useful for other departments and organizations undertaking similar efforts.

Originality/value

The integration of multiple goals and a shared vision in a strategic planning process leads to successful program development and meeting the needs of future healthcare professionals and the patients and communities they serve. The authors have provided a model for such success.

Twin-twin transfusion syndrome screening and diagnosis in the United States: A triangulation design of patient experiences

Objective

Using patient-reported experiences, this study: 1) quantitatively evaluated TTTS screening trends, 2) examined screening and diagnostic experiences using a mixed methods approach, and 3) determined gaps in clinical care experiences.

Design

This was a cross-sectional study. Data was collected using a self-report, retrospective survey. A triangulation design was used to validate quantitative survey data with thematically analyzed qualitative data.

Setting

Participants were recruited through social media and national foundations and completed the survey online.

Participants

Participants were 312 women who completed a TTTS pregnancy in the United States, representing the largest survey of participants who have experienced TTTS.

Methods

Descriptive statistics and bivariate analyses were conducted. Multivariate logistic regression examined predictors of ultrasound frequency. Qualitative data were initially coded by hand and checked using qualitative software.

Results

The percentages of participants reporting guideline recommended screening, including identification of pregnancy type by gestational week 13 and timely receipt of ultrasounds, increased over time. However, 44.6% of participants diagnosed in recent years (2014 and later), reported that prior to TTTS diagnosis, they did not receive biweekly or more frequent ultrasounds. Three patient-reported provider practices were related to receiving ultrasounds at the recommended frequency: (1) determining MCDA status prior to gestational week 14, (2) providing participants with early warnings about the risk of TTTS to their pregnancies after MCDA status had been determined, and (3) referring participants to a Maternal-Fetal Medicine Specialist after MCDA identification, as validated by qualitative data. Our qualitative data revealed gaps in effective clinical care experiences among OB/GYN and specialist providers.

Conclusion

These findings indicate screening and diagnosis for TTTS, as reported by patients, is improving in the United States; however, further efforts are required to ensure all patients receive appropriate screening, education and a team-based approach to comprehensive and supportive clinical care.

Twin-Twin Transfusion Syndrome and Maternal Symptomatology-An Exploratory Analysis of Patient Experiences When Reporting Complaints

Objective:

The aim of this study was to assess patient experiences when reporting symptoms of twin–twin transfusion syndrome (TTTS) to their health-care providers.

Methodology:

The study utilized an online, retrospective survey of women, over the age of 18, who were living in the United States at the time of their pregnancy and had completed a TTTS pregnancy.

Results:

Three hundred sixty-seven cases were included for analysis. Nearly half of the respondents (45.2%) reported experiencing maternal symptoms prior to TTTS diagnosis. The average number of symptoms experienced was 2.85. The average gestational week of symptom onset was 18.2. A total of 76.2% of respondents experiencing symptoms shared these concerns with their health-care provider; however, slightly more than half (51.2%) believed that the provider dismissed their complaints.

Conclusions:

Results suggest a disconnect between patients’ reporting TTTS symptoms and health-care providers responding attentively, as perceived by the patient. It would be advantageous for health-care providers to inform women pregnant with a monochorionic–diamniotic pregnancy to immediately report the presence of any symptom described in the present research, which may be associated with any number of twin pregnancy–related complications.

Transtheoretical Model-Chronic Disease Care for Obesity in Primary Care: A Randomized Trial

OBJECTIVE

To compare health benefits achieved in a transtheoretical model-chronic disease (TM-CD) minimal intervention for obesity vs. augmented usual care (AUC).

RESEARCH METHOD AND PROCEDURES

This was a 2-year, randomized clinical trial with overweight or obese men and women from 15 primary care sites. AUC (n = 336) included dietary and exercise advice, prescriptions, and three 24-hour dietary recalls every 6 months. TM-CD care (n = 329) included AUC elements plus "stage of change" (SOC) assessments for five target behaviors every other month, mailed SOC and target behavior-matched workbooks, and monthly telephone calls from a weight-loss advisor. Weight change was the primary outcome.

RESULTS

Repeated measures models under the missing at random assumption yielded nonsignificant adjusted differences between the AUC and TM-CD groups for weight change, waist circumference, energy intake or expenditure, blood pressure, and blood lipids. The pattern of change over time suggested that TM-CD participants were trying harder to impact target behaviors during the first 6 to 12 months of the trial but relapsed afterward. Sixty percent of trial participants maintained their baseline weights for 18 to 24 months.

DISCUSSION

A combination of mailed patient materials and monthly telephone calls based on the transtheoretical model and some elements of chronic disease care is not powerful enough, relative to AUC, to alter target behaviors among overweight primary care patients in an obesogenic environment. AUC may be sufficient to maintain weights among at-risk primary care patients.

Biopsychosocial characteristics of overweight and obese primary care patients: do psychosocial and behavior factors mediate sociodemographic effects?

BACKGROUND

The increasing prevalence of obesity and obesity-related conditions in primary care settings challenges the health care system. Thus, we used available baseline data from an on-going clinical trial to examine the biopsychosocial characteristics of overweight and obese primary care patients. The primary research objective was to ascertain whether theoretically important psychosocial and behavioral variables mediate the empirical relationships between sociodemographic factors and body mass index (BMI).

METHODS

Overweight or obese primary care patients (n=665) enrolled in an on-going trial of a cognitive-behavioral obesity intervention provided baseline sociodemographic, psychosocial, nutritional, physical activity, and anthropometric data that were analyzed via multiple regression.

RESULTS

Lower educational attainment was associated with a higher BMI after controlling for decisional balance, social support, self-efficacy, energy intake, and energy expenditure (P<0.05). In contrast, ethnicity was not associated with BMI after controlling for the psychosocial and behavioral variables. Decisional balance and social support variables were associated with BMI and energy intake, but the directions of some of the associations were not consistent with a priori expectations.

CONCLUSIONS

Overall, we found some evidence of mediation by the psychosocial and behavioral variables of the relationship between ethnicity and BMI, but not for the relationship between education and BMI. In addition, some of the relationships between the psychosocial variables and BMI were opposite of our expectations.

Assessing dietary and exercise stage of change to optimize weight loss interventions

OBJECTIVE

According to the Transtheoretical Model (TM), tailoring interventions to patients' readiness to change can enhance patient progress and help patients use therapeutic resources more effectively. However, tailoring an intervention depends on accurate assessment of patients' stage of change (SOC). This study describes a multi-item algorithm of SOC (M-SOC) for weight loss-related behaviors that attempts to overcome some of the conceptual and methodological difficulties encountered in previously SOC assessments.

RESEARCH METHODS

Data were collected from participants randomly assigned to the treatment arm of a clinical trial comparing a TM-based, cognitive-behavioral intervention with enhanced usual care for weight loss.

RESULTS

The stair-step relationships hypothesized by the TM between assessed SOC and key behavioral measures were found for all algorithms (p < 0.05), indicating that the M-SOC algorithm performs as well as single item algorithms. However, 50% fewer patients were classified in action or maintenance for dietary fat intake and portion control (p < 0.05) by the multiple-item algorithms, providing staging more consistent with the clinical presentation of obese individuals. In addition, logistic regression analyses indicated that the single-item algorithms were not sufficient predictors of these behavioral domains.

DISCUSSION

To the extent that treatment is guided by assessed SOC, there is potential for a considerable variability in interventions with different approaches to staging. For weight-loss interventions that target portion control and decreased fat intake, the multi-item SOC algorithms seem to be better guides for matching treatments to SOC.

New medical therapies for advanced left ventricular dysfunction

The analysis of currently used therapeutic targets provides considerable input in the choice of current and future therapies for dilated cardiomyopathy and congestive heart failure. Of the ion flux agents, a definitive answer concerning digoxin will soon be available. Currently, digoxin is likely of benefit to patients with persistent heart failure and significantly enlarged hearts despite therapy with preload and afterload reducing agents. Most currently available calcium channel blocking agents do not appear to be effective, although newer agents such as amlodipine and felodipine have yet to be adequately tested. Vesnarinone, which operates through the sodium and potassium rectifying channels and has limited phosphodiesterase inhibition, appears to provide a significant improvement in mortality and in symptoms. Part of the latter effect may be due to its anticytokine properties, which are currently being investigated. Analysis of vascular endothelial agents indicate that not all of the vasoactive agents improve survival, as demonstrated with prazosin and flosequinan. The dose of agents may be important, again demonstrating that less is better. Finally, those with additional effects, such as inositol triphosphate stimulation, may offer additional unique properties that may, in the future, provide benefit. Phosphodiesterase inhibitors are potentially beneficial in the short term but clearly should be avoided for long-term use. Lower doses of these agents are now being investigated, but the weight of evidence is against agents that operate primarily through phosphodiesterase inhibition. Renin angiotensin agents are the most efficacious of therapies available at this time. New angiotensin converting enzyme inhibitors are likely to add little to what is already known.(ABSTRACT TRUNCATED AT 250 WORDS)

HIV-associated myocarditis. Pathology and immunopathology

Autopsy studies of AIDS (acquired immune deficiency syndrome) patients showed a high incidence of myocarditis. To attain a better understanding of the pathogenesis, the pathology and immunopathology of nine endomyocardial biopsies with active myocarditis from 18 human immunodeficiency virus (HIV)-positive patients were systematically characterized. These were compared with 17 biopsies with active myocarditis from patients without AIDS risk factors. In both groups, the myocarditis consisted of either multifocal or interstitial infiltrates of small lymphocytes and isolated myocyte necrosis. The lymphocytes consisted of T cells (CD2+, CD3+) and cells not identified by the usual markers. B cells, monocytes, CD4+ cells, and natural killer (NK) cells were only rarely observed. All of the HIV-positive patients but only 7 of 17 non-HIV patients had CD8+ lymphocytes in the infiltrates (P less than 0.01). The arteriolar endothelium demonstrated induced class I (HLA-A, B, C) and II (HLA-DR) antigens in both groups. In situ hybridization for HIV-1 failed to identify the virus in the specimens. The immunopathology is consistent with a cell-mediated injury to the myocytes in HIV-positive patients and is similar to a subgroup of myocarditis in the non-HIV group.

The epidemiology of idiopathic dilated cardiomyopathy in a biracial community

An epidemiologic study of idiopathic dilated cardiomyopathy was carried out in order to identify possible risk factors for this often fatal cause of heart failure in young adults. Possible associations with black race and other genetic and environmental factors were examined by comparing newly diagnosed cases ascertained from four Baltimore hospitals (n = 95) with neighborhood controls (n = 95), matched on sex and 5-year age intervals. Matched and unmatched relative odds and conditional logistic regression coefficients were obtained to describe the associations. Statistically significant, independent associations were observed between idiopathic dilated cardiomyopathy and black race, low annual income, and history of asthma (p less than 0.05). The black predominance (relative odds = 2.7, 95% confidence interval 2.0-3.4) was not explained by income, alcohol consumption, cigarette usage, body mass index, hypertension, or asthma. A possible interactive effect was observed between black race and history of asthma and other atopic diseases. Thus, blacks, especially those with a history of hypersensitivity, may represent a high-risk subgroup in need of preventive care or early intervention.

Idiopathic dilated cardiomyopathy and atopic disease: epidemiologic evidence for an association with asthma

Because of recent evidence from in vitro studies suggesting that immediate hypersensitivity or other autoimmune mechanisms may play a role in the initiation or progression of idiopathic dilated cardiomyopathy (DCM), an epidemiologic study was carried out to examine possible associations with atopic diseases and other immunologic disorders. Newly diagnosed cases were ascertained from four Baltimore hospitals and were interviewed along with neighborhood controls identified using a random digit dialing technique. The cases and controls (N = 190) were matched on sex and 5-year age intervals and were compared in the analysis using matched and unmatched estimates of the relative odds and conditional logistic regression methods. A statistically significant, independent association was observed between idiopathic DCM and a history of asthma (p less than 0.05). The association was most pronounced among individuals who were less than 55 years of age (relative odds = 20.3, p less than 0.05), with 31.1% (14 of 45) of the patients who were under the age of 55 having a reported history of asthma. These findings support the theory that hypersensitivity mechanisms may be important in the development of idiopathic DCM. A treatment effect associated with asthma is an alternative possibility.