Community Health Workers as Trust Builders and Healers: A Cohort Study in Primary Care.

PURPOSE: Improving patients' self-care for chronic disease is often elusive in the context of social deprivation. We evaluated whether a practice-integrated community health worker (CHW) intervention could encourage effective long-term self-management of type 2 diabetes mellitus (T2DM). METHODS: This cohort study, in a safety-net primary care practice, enrolled patients with uncontrolled T2DM and psychosocial risk factors. Patients were identified through a practice diabetes registry or by clinicians' referrals. The CHWs engaged patients in trust building and sensemaking to understand their social context, identify goals, navigate health care, and connect to community resources. Primary outcome was progress through 3 prospectively defined stages of self-care: outreach (meeting face-to-face); stabilization (collaborating to address patients' life circumstances); and self-care generativity (achieving self-care competencies). Secondary outcomes were change in hemoglobin A1c (HbA1c) and need for urgent care, emergency department, or hospital visits. RESULTS: Of 986 participating patients, 27% remained in outreach, 41% progressed to stabilization, and 33% achieved self-care generativity. Repeated measures ANOVA demonstrates an overall decline in HbA1c, without group differences, through the 4th HbA1c measurement (mean follow-up 703 days). Beginning at the 5th HbA1c measurement (mean 859 days), the self-care generativity group achieved greater declines in HbA1c, which widened through the 10th measurement (mean 1,365 days) to an average of 8.5% compared with an average of 8.8% in the outreach group and 9.0% in the stabilization group (P = .003). Rates of emergency department and hospital visits were lower in the self-care generativity group. CONCLUSIONS: Practice-linked CHWs can sustainably engage vulnerable patients, helping them advance self-management goals in the context of formidable social disadvantage.

Improving Equity Through Primary Care: Proceedings of the 2019 Toronto International Conference on Quality in Primary Care.

Health equity allows people to reach their full health potential and receive high-quality care that is appropriate for them and their needs, no matter where they live, what they have, or who they are. It is a core element of quality in health care. Around the world, there are many efforts to improve equity through primary care. In order to advance these efforts, it is important to share successes and challenges. Building on our work with international stakeholders to identify key primary care research priorities, we organized the Toronto International Conference on Quality in Primary Care that was held on November 16, 2019. Participants from 8 countries took part. Key recommendations included the establishment of continuous relationships between providers and patients over time, relationships between providers in the health and social sectors, and resources supported proportionally to patient need. Solutions must be generated using team-based approaches that explicitly include people with who have experienced discrimination. Progress will require confronting structural determinants including racism, capitalism, and colonialism. Conference participants suggested practical solutions, such as developing a public transportation program for rural residents to improve community building and the ability to attend medical appointments, and identifying patients who have recently missed clinic visits that may benefit from additional care. These approaches will need to be evaluated through high-quality research and quality improvement, with a knowledge translation that facilitates sustainability and expansion across settings.

Effect of Incorporating Catastrophic Equations into an Agent-Based Model of Women's Action-Taking in Violent Relationships.

Based upon multiple time series studies, an agent-based model (ABM) of women's decision-making related to partner violence was developed. However, help-seeking, legal action and leaving could be modeled as catastrophic phenomena, but catastrophic effects were not included in this prior ABM. The purpose of this study was to incorporate cusp catastrophe equations into the prior ABM to determine the impact upon her action-taking. Building upon this prior ABM of women's decision-making, we added cusp-related equations and compared resultant patterns and impacts of stress and interventions against those of the prior ABM. To assess the potential impact that random stress and her behavior could have on violence and stalking, the effect of variable parameter settings of these factors were assessed. Adding cusp equations to the prior ABM resulted in more legal action-taking for most of these patterns, many showing the effects of the bifurcation variables, and more women leaving in half of the patterns, but at the expense of increasing instability and more distortion effects. However, help-seeking was most impacted by possible interventions. In conclu-sion, adding cusp equations to the model had significant effects on modeling action-taking, especially for legal action and leaving while affecting the impact of interventions on help-seeking.

The Dynamics of Partner Violence and Alcohol Use in Couples: Research Methods.

OBJECTIVE: This research team uses complexity science to gain a deeper understanding of daily dynamics of intimate partner violence (IPV). This report describes research methods for gathering daily information about patterns of partner violence and alcohol use from couples in near-real time, and addresses recruitment and retention, adherence to study protocol, data validity, and participant safety. METHODS: Researchers enrolled 20 heterosexual couples with violent relationships from a primary healthcare center. Every day for 8 weeks, participants telephoned an interactive voice response (IVR) system and responded to 33 survey questions assessing violence, alcohol use, and household environment. They also completed baseline and end-of-study surveys. RESULTS: Of 20 enrolled couples, 15 completed the study, providing 90% adherence to daily reporting. Participants reported verbal aggression on an average of 11-13 days over 8 weeks, and physical abuse on an average of 2-4 days. Alcohol use was modest and infrequent. Women and men differed in their reports of women's physical aggression. No reports of physical violence were correlated with social desirability. CONCLUSIONS: We demonstrated the feasibility of enrolling and engaging both women and men in daily longitudinal research about partner violence and described advantages of IVR in daily longitudinal research.

Agent-Based Modeling of Day-to-Day Intimate Partner Violence.

The purpose of this study was to develop a mathematical model of mutual partner violence and assess impact of her controllable behaviors on reducing violence. An agent-based model was created of couples with history of violence based upon results of two multiple time series studies of partner violence. To explore factors that may alter model results, eight continuous variable parameters were created based upon significant (p=.05) but discrepant (opposite directions) results from previous studies. To assess the potential impact that random stress and her behavior (arguments, forgiveness, alcohol use, violence) could have on violence and stalking, the impact of variable parameter settings of these factors were also assessed. The model identified 18 unique patterns were observed, grouped into five general categories. Added random stress contributed to his violence in only two patterns. Although avoiding participation in arguments had no effect, her forgiveness and elimination of alcohol use often reduced her violence only. However, consistent violence or nonviolence on her part sometimes affected his violence and stalking. In conclusion, while increasing forgiveness and reducing alcohol intake could reduce her violence, they generally had little effect on his. However, if she eliminated her violence, it could eliminate his violence and stalking in some situations.

Multi-day Patterns around Taking Action in Intimate Partner Violence.

This study was to determine the multi-day relationships among stressors, need and taking action (seeking counseling, taking legal action, leaving) by women in violent relationships. Women with recent husband-to-wife abuse but not at high-risk for life-threatening violence were recruited from six primary care clinics and asked to complete a daily description of the previous day's violence, need-for-action, and stressors using Interactive Voice Response via telephone for 8 weeks. Taking action (seeking counseling, taking legal action, leaving) was determined via weekly telephone contacts. To identify day-to-day recurrent strings, we used orbital decomposition, limiting time series to 29 women who took action during the study. Multi-day patterns were not common in taking action and are unrelated to violence. Only one 5-day string involving seeking counseling was identified in which women felt a lack of control. While taking legal action was part of five 5-days strings, each string consisted of one day of taking legal action within four days of no need-for-action, violence or stalking. Finally, one 4-day string that began with leaving coupled with spouse's excessive alcohol intake but no violence was noted. Hence, decisions to take action in violent relationships are not typically multi-day decisions linked to violence, but rather sudden events triggered by loss of control, his alcohol intake or unique situational factors.

Practical Opportunities for Healthy Diet and Physical Activity: Relationship to Intentions, Behaviors, and Body Mass Index.

PURPOSE: Current strategies for improving diet and activity patterns focus on encouraging patients to make better choices, but they meet with limited success. Because the choices people make depend on the choices they have, we examined how practical opportunities for diet and physical activity shape behavioral intentions and achieved behaviors. METHODS: Participants included 746 adults who visited 8 large primary care practices in the Residency Research Network of Texas in 2012. We used structural equation models to confirm factor structures for a previously validated measure of practical opportunities, and then modeled achieved diet (Starting the Conversation - Diet questionnaire), physical activity (International Physical Activity Questionnaire), and BMI as a function of opportunities (classified as either resources or conversion factors that influence use of resources), behavioral intentions, and demographic covariates. RESULTS: In path models, resources (P <.001) and conversion factors (P = .005) predicted behavioral intentions for activity. Conversion factors (P <.001), but not resources, predicted diet intentions. Both activity resources (P = .01) and conversion factors (P <.001) were positively associated with weekly activity minutes. Diet conversion factors (P <.001), but not diet resources (P = .08), were positively associated with diet quality. The same patterns were observed for body mass index (BMI). Socioeconomic gradients in resources and conversion factors were evident. CONCLUSIONS: Individuals' feasible opportunities for healthy diet and activity have clinically meaningful associations with intentions, achieved behaviors, and BMI. Assessing opportunities as part of health behavior management could lead to more effective, efficient, and compassionate interventions.

Recurrent multi-day patterns of intimate partner violence and alcohol intake in violent relationships.

Consistent links exist between male and female alcohol intake and intimate partner violence (IPV). However, the nature of the relationship remains unclear. This study explores the temporal relationships between violence and heavy alcohol intake, looking for multi-day patterns. 200 women with a recent history of husband-to-wife abuse from six primary care clinics were asked to complete daily assessments using Interactive Verbal Response (IVR) via telephone for 12 weeks. To identify recurrent strings of activities, we used orbital decomposition. Multi-day patterns were found at the 5-, 7- and 9-day levels, but most represented extensions of 4-day patterns. Overall, consecutive days of male-perpetrated, moderate-severe violence were common. In addition, heavy alcohol intake by the husband was underrepresented on days involving verbal abuse only but overrepresented in consecutive days of such abuse; husband's alcohol intake preceded his verbal abuse and a sequence of husband-perpetrated verbal abuse followed by mutual abuse followed by wife-perpetrated verbal abuse was noted. No patterns involved heavy alcohol intake by the wife. In conclusion, few patterns involved heavy alcohol intake by men and none by women. Although husband's heavy alcohol intake may contribute to onset and maintenance of verbal abuse, it plays little role in recurrent patterns of physical violence.

Modeling Outcomes of Partner Violence Using Cusp Catastrophe Modeling.

Research suggests that intimate partner violence (IPV) is a complex, nonlinear phenomenon. In addition to the violence trajectory itself, IPV decision-making, help-seeking and leaving are nonlinear processes as well. The purpose of this study was to determine whether outcomes were best modeled as cusp catastrophic phenomena with measures of violence nonlinearity and wife-perpetrated violence serving as bifurcation variables. This 12-week time series study was conducted among 200 adult women in violent relationships. Women completed daily assessments of household environment and marital relationship using Interactive Verbal Response; missing violence data was imputed using TISEAN software to maintain its nonlinear characteristics. LZ complexity, approximate entropy, and largest Lyapunov exponents were used as measures of violence nonlinearity. Asymmetry variables included violence frequency and severity as well as its onset and duration. Factor-analyzed outcomes included coping and appraisals, hope and support, symptomatology, functional status, readiness-for-change, and medical utilization. When severity of wife's violence and nonlinearity of husband's violence were used as bifurcation variables, cusp catastrophe modeling helped explain positive and negative coping as well as readiness-for-change. In conclusion, measures of nonlinearity of husband's violence and wife's violence contributed to the variance of three outcomes in cusp catastrophe modeling. Sudden changes in coping and readiness-for-change in IPV should be expected and knowledge of violence nonlinearity may have applications when working with violent couples.

Measuring capability for healthy diet and physical activity.

PURPOSE: Patterns of diet and physical activity, major drivers of morbidity and mortality, are contingent on people's feasible opportunities to pursue healthy behaviors. Our objective for this mixed methods study was to develop measures of feasible opportunities for diet and activity. METHODS: The Capability Approach framework for evaluating people's real freedoms to pursue their values guided the research. A community-based participatory model was applied to conduct focus groups of adults with obesity or diabetes mellitus from an economically disadvantaged Latino community. Focus group themes were developed into survey items that assess how individual circumstances and neighborhood contexts influence opportunities for diet and activity. The prevalence of different influences was explored in a sample of 300 patients from a primary care safety net clinic. Scales measuring different aspects of opportunity were created through principal components analysis. RESULTS: Availability, convenience, safety, cost of food, and activity resources interact with individual circumstances, such as illness, depression, family and nonfamily supports, and scope of personal agency, to shape practical opportunities. Multiple vulnerabilities in availability of resources and moderators of resource use commonly occur together, intensifying challenges and creating difficult trade-offs. Only one-half of participants reported that physicians understood their difficulties pursuing activity, and just one-third for diet. CONCLUSIONS: Our results suggest that practical opportunities for healthy behavior can be measured as a primary target for clinical and public health assessment and intervention. The Capability Approach holds promise as a framework for developing interventions responsive to both personal and environmental determinants.

Storylines of family medicine X: standing up for diversity, equity and inclusion.

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'X: standing up for diversity, equity and inclusion', authors address the following themes: 'The power of diversity-why inclusivity is essential to equity in healthcare', 'Medical education for whom?', 'Growing a diverse and inclusive workforce', 'Therapeutic judo-an inclusive approach to patient care', 'Global family medicine-seeing the world "upside down"', 'The inverse care law', 'Social determinants of health as a lens for care', 'Why family physicians should care about human rights' and 'Toward health equity-the opportunome'. May the essays that follow inspire readers to promote change.

Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration.

Introduction: The focus on social determinants of health (SDOH) and their impact on health outcomes is evident in U.S. federal actions by Centers for Medicare & Medicaid Services and Office of National Coordinator for Health Information Technology. The disproportionate impact of COVID-19 on minorities and communities of color heightened awareness of health inequities and the need for more robust SDOH data collection. Four Clinical and Translational Science Award (CTSA) hubs comprising the Texas Regional CTSA Consortium (TRCC) undertook an inventory to understand what contextual-level SDOH datasets are offered centrally and which individual-level SDOH are collected in structured fields in each electronic health record (EHR) system potentially for all patients. Methods: Hub teams identified American Community Survey (ACS) datasets available via their enterprise data warehouses for research. Each hub's EHR analyst team identified structured fields available in their EHR for SDOH using a collection instrument based on a 2021 PCORnet survey and conducted an SDOH field completion rate analysis. Results: One hub offered ACS datasets centrally. All hubs collected eleven SDOH elements in structured EHR fields. Two collected Homeless and Veteran statuses. Completeness at four hubs was 80%-98%: Ethnicity, Race; < 10%: Education, Financial Strain, Food Insecurity, Housing Security/Stability, Interpersonal Violence, Social Isolation, Stress, Transportation. Conclusion: Completeness levels for SDOH data in EHR at TRCC hubs varied and were low for most measures. Multiple system-level discussions may be necessary to increase standardized SDOH EHR-based data collection and harmonization to drive effective value-based care, health disparities research, translational interventions, and evidence-based policy.

Erratum: Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration - CORRIGENDUM.

[This corrects the article DOI: 10.1017/cts.2024.2.].

Storylines of family medicine XII: family medicine and the healthcare system.

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine, as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'XII: Family medicine and the future of the healthcare system', authors address the following themes: 'Leadership in family medicine', 'Becoming an academic family physician', 'Advocare-our call to act', 'The paradox of primary care and three simple rules', 'The quadruple aim-melding the patient and the health system', 'Fit-for-purpose medical workforce', 'Universal healthcare-coverage for all', 'The futures of family medicine' and 'The 100th essay.' May readers of these essays feel empowered to be part of family medicine's exciting future.

Same-Day Correlates and Prior-Day Predictors of Couples' Violent Behaviors Based upon Partners' Daily Reports.

Although previous research identified predictors of violent events within violent heterosexual couples, findings were limited to the woman's reports, to her perceptions; his assessments were not obtained. This exploratory study was conducted to gain understanding of proximal predictors of violence assessed in "real-time" from the perspective of both partners. Fifteen adult heterosexual couples in which the woman reported experiencing partner violence in the prior 30 days were enrolled in a primary care clinic. Each partner provided separate daily telephone reports for eight weeks via an automated Interactive Voice Response (IVR), concerning the previous day's violence, alcohol use, stressors, emotional reactions and concerns for children. Same-day correlates were determined by Pearson correlations while prior-day predictors were identified via vector autoregression. Same-day correlations show that men's violence was associated with almost every other variable while women's violence correlated with men's violence, men's drug use, women's alcohol use, anger, closeness, hassles, and all men's negative feelings. Using prior-day predictors, men's violence was related to feelings (primarily hers), but women's violence was more dependent upon feelings of both of them as well as women's prior-day violence and alcohol use. Men's violence was dependent upon their partners' prior-day feelings and the men's lack of concern about effects of violence on children. Women's violence was also dependent upon women's prior-day feelings, as well as women's violence, alcohol use, marital closeness, and men's concern for children. Although the co-occurrence of men's and women's violence has been seen before, in this study only women's violence was linked to alcohol use.

Work-related and personal predictors of COVID-19 transmission: evidence from the UK and USA.

OBJECTIVE: To develop evidence of work-related and personal predictors of COVID-19 transmission. SETTING AND RESPONDENTS: Data are drawn from a population survey of individuals in the USA and UK conducted in June 2020. BACKGROUND METHODS: Regression models are estimated for 1467 individuals in which reported evidence of infection depends on work-related factors as well as a variety of personal controls. RESULTS: The following themes emerge from the analysis. First, a range of work-related factors are significant sources of variation in COVID-19 infection as indicated by self-reports of medical diagnosis or symptoms. This includes evidence about workplace types, consultation about safety and union membership. The partial effect of transport-related employment in regression models makes the chance of infection over three times more likely while in univariate analyses, transport-related work increases the risk of infection by over 40 times in the USA. Second, there is evidence that some home-related factors are significant predictors of infection, most notably the sharing of accommodation or a kitchen. Third, there is some evidence that behavioural factors and personal traits (including risk preference, extraversion and height) are also important. CONCLUSIONS: The paper concludes that predictors of transmission relate to work, transport, home and personal factors. Transport-related work settings are by far the greatest source of risk and so should be a focus of prevention policies. In addition, surveys of the sort developed in this paper are an important source of information on transmission pathways within the community.

The Texas Community-Engagement Research Alliance Against COVID-19 in Disproportionately Affected Communities (TX CEAL) Consortium.

The coronavirus disease 2019 (COVID-19) pandemic requires urgent implementation of effective community-engaged strategies to enhance education, awareness, and inclusion of underserved communities in prevention, mitigation, and treatment efforts. The Texas Community-Engagement Alliance Consortium was established with support from the United States' National Institutes of Health (NIH) to conduct community-engaged projects in selected geographic locations with a high proportion of medically underserved minority groups with a disproportionate burden of COVID-19 disease and hospitalizations. The purpose of this paper is to describe the development of the Consortium. The Consortium organized seven projects with focused activities to address COVID-19 clinical and vaccine trials in highly affected counties, as well as critical statewide efforts. Five Texas counties (Bexar, Dallas, Harris, Hidalgo, and Tarrant) were chosen by NIH because of high concentrations of underserved minority communities, existing community infrastructure, ongoing efforts against COVID-19, and disproportionate burden of COVID-19. Policies and practices can contribute to disparities in COVID-19 risk, morbidity, and mortality. Community engagement is an essential element for effective public health strategies in medically underserved minority areas. Working with partners, the Consortium will use community engagement strategies to address COVID-19 disparities.

Implementation of the Texas Community-Engaged Statewide Consortium for the Prevention of COVID-19.

The Community Engagement Alliance (CEAL) Against COVID-19 Disparities aims to conduct community-engaged research and outreach. This paper describes the Texas CEAL Consortium's activities in the first year and evaluates progress. The Texas CEAL Consortium comprised seven projects. To evaluate the Texas CEAL Consortium's progress, we used components of the RE-AIM Framework. Evaluation included estimating the number of people reached for data collection and education activities (reach), individual project goals and progress (effectiveness), partnerships established and partner engagement (adoption), and outreach and education activities (implementation). During the one-year period, focus groups were conducted with 172 people and surveys with 2107 people across Texas. Partners represented various types of organizations, including 11 non-profit organizations, 4 academic institutions, 3 civic groups, 3 government agencies, 2 grassroots organizations, 2 faith-based organizations, 1 clinic, and 4 that were of other types. The main facets of implementation consisted of education activities and the development of trainings. Key recommendations for future consortiums relate to funding and research logistics and the value of strong community partnerships. The lessons learned in this first year of rapid deployment inform ongoing work by the Texas CEAL Consortium and future community-engaged projects.

Complex Relationship Between Daily Partner Violence and Alcohol Use Among Violent Heterosexual Men.

Although alcohol use and partner violence are consistently associated, the nature of the alcohol-violence relationship is still unclear. The purpose of this pilot study was to use longitudinal daily assessments of male partners' alcohol use and violent events to identify the nature of the alcohol-violence relationship, employing both linear and nonlinear analyses. The participants were 20 adult heterosexual couples of whom the woman reported experiencing partner violence in the prior 30 days. Each partner provided a separate daily telephone report for 8 weeks via an automated interactive voice response (IVR), concerning the previous day's violence, alcohol use, stressors, emotional reactions, and concerns for children. Individual IVR databases were merged to form a combined couple's IVR time series. Time series were analyzed using graphic, linear, and nonlinear methods. Graphic analysis using state space grids found no consistent pattern across couples. Similarly, linear analysis using same-day cross-correlation and prior-day beta statistics found no significant group-level alcohol-violence relationship. Using cross-approximate entropy statistics and differential structural equation modeling, no nonlinear relationships between alcohol use and violence were noted either. Whether applying linear or nonlinear analytic methods, there is no group-level relationship between alcohol use by male perpetrators and their violent acts. The implications are significant. First, the alcohol-violence relationship may differ among subgroups. Second, couples need to be assessed thoroughly to determine their unique relationship with alcohol use, so that couple-specific interventions can be designed. Third, if perpetrators believe that their violence is facilitated by their alcohol use, then alcohol reduction should be encouraged despite any evidence suggesting a different alcohol-violence relationship. Finally, the accepted alcohol-causes-violence belief held by many providers needs to be reconsidered. Because the nature of the alcohol-violence relationship varies considerably across couples, clinicians should seek to understand their unique relationship applying across-the-board management approaches.

Is Perceived Need for Action Among Women in Violent Relationships Nonlinear and, If So, Why?

Despite the prevalence and impact of partner violence, we understand little about women's action taking except that it seems an unpredictable, nonlinear process. This article determines the degree of nonlinearity in perceived need for help, legal action, or leaving among women in violent relationships. The participants included 143 women who experienced violence in the previous month, enrolled from six primary care clinics. Baseline surveys assessed background characteristics and factors which may affect perceived need for action. Multiple times series assessments of violence and need for action were collected daily for 8 weeks via telephone Interactive Voice Response. Measures of nonlinearity of violence, perceived need for help, legal action, and leaving were computed. Repeated measures ANOVA assessed differences across measures of nonlinearity. To identify factors contributing to nonlinearity, staged multiple regression assessed the relationship between nonlinearity measures and outcomes. Ninety-three women completed sufficient time series for nonlinearity assessment. Measures of nonlinearity were lower for need for legal action compared with needs for help and leaving. Regression analysis suggested that isolation, social networks, and lack of awareness contribute to nonlinearity. Women's perceived need for legal action and its level of nonlinearity were lowest compared with those of help seeking and leaving. Although its relative linearity suggests that the need for legal action may be the most predictable, its lower mean rating suggests that legal action is a low priority. Although need for help and leaving are of higher priorities, their nonlinearity suggests that intervention will not yield predictable results.