Whole Health in Parts: Omissions from National Data Sets.

Background: The Whole Health model is a holistic approach to facilitate whole health practices by addressing (1) the physical, mental, and social health of individuals and (2) associated support systems. Several national organizations such as the Institute for Healthcare Improvement's (IHI) Age-Friendly Health Systems (AFHS) movement and, the U.S. Department of Veterans Affairs have implemented whole health frameworks with many common elements and promoted whole health practice and skills. However, implementing a Whole Health model across communities and health systems will require evidence of effectiveness. Generating evidence on the effectiveness of the Whole Health model's effect on health outcomes requires data-driven intelligence. Methods: We identified the national public-use data sets that are most often used in health research with a machine-assisted literature search of PubMed and Scopus for peer-reviewed journal articles published from 2010 through the end of 2021, including preprints, using Python [3.7]. We then assessed if the 8 most commonly used datasets include variables associated with whole health. Results: The number of publications examining whole health has increased annually in the last decade, with more than 2800 publications in 2020 alone. Since 2010, 24,811 articles have been published using 1 of these data sets. However, we also found a lack of data (ie, data set includes all of the whole health variables) to examine whole health in national data sets. Conclusions: We support a call to expand data collection and standardization of critical measures of whole health.

Social workers in integrated care beyond primary care: a scoping review.

Social workers are key members of integrated care (IC) teams, yet there is limited research on the presence and roles of social workers on IC teams. Research literature from 2014 to 2021 was identified using the following search engines: Academic Search Complete, PsycINFO, CINAHL Plus, SocINDEX and MEDLINE. An exploratory search was conducted in January 2021 and an updated search was conducted in August 2021. This search resulted in 802 references, 50 of which met criteria for full-text review. Nine articles were identified through supplemental searching. 20 articles were included in the final review. Of the 20 studies included, most were randomized control trials (45%; n = 9). Studies varied across settings including specialty care (40%; n = 8), community-based practices (35%; n = 7), and primary care (25%; n = 5). Social workers engaged in a variety of roles including behavioral interventions, care coordination, and intake assessment. Social workers are engaged in IC in a variety of roles across healthcare settings. Findings suggest that patients' mental health outcomes improve in IC settings which include social workers. Future research is needed to isolate the impact that social workers have in IC. Social workers are key members of integrated care teams, yet there is a need to explore their roles on these teams. Using a methodological approach, research literature from 2014 to 2021 was explored to establish the roles, responsibilities, and settings of social workers on integrated care teams. Of the 20 articles included in the review, social workers held various roles including intake assessment, care coordination, and behavioral interventions, such as psychotherapy or cognitive behavioral therapy. Findings suggest that social workers are on integrated care teams in a variety of roles across various healthcare settings and that patients' mental health outcomes improve in integrated care settings that include social workers.

Attitudes and beliefs about medical cannabis among social work students: Cross-national comparison.

OBJECTIVES: Worldwide, considerable attention is being given to cannabis use for medical conditions. In the current study, we sought to assess attitudes and beliefs about MC among social work students from the US and Israel. METHODS: We sought to assess attitudes and beliefs about MC among a sample of 417 social work students (230 from the US and 187 from Israel) who voluntarily participated in an anonymous online survey. Chi-square tests were used to analyze differences between groups. RESULTS: Most of the US and Israeli participants (84.3 % and 96.7 %, respectively) reported no formal education about MC; and, they would recommend MC for their clients. Participants who reported any cannabis use, compared to non-users, were more likely to believe MC could benefit physical or mental health and less inclined to believe use of the substance poses serious physical or mental health risks. Secular, compared to religious students, believed it has more benefits for physical and/or mental health. CONCLUSIONS: Our findings evidence a considerable dearth of formal evidence-based education about cannabis for medical conditions in two university-based cohorts, despite beliefs in MC as useful for physical and mental health conditions. Efforts to develop curricula and training programs for social work students are needed since they will be among key professionals addressing client needs from health care and counseling perspectives.

Organization of care and diagnosed depression among women veterans.

OBJECTIVE: To analyze the association between the organizational features of integration of physical and mental healthcare in womens health clinics and the diagnosis of depression among women veterans with or at risk for cardiovascular conditions (ie, diabetes mellitus, heart disease, or hypertension). STUDY DESIGN: Retrospective and observational secondary data analyses. METHODS: We studied 27,972 women veterans from 118 facilities with diagnosed cardiovascular conditions in fiscal year 2001 (FY2001) using merged Medicare claims and Veterans Health Administration (VHA) data merged with the 1999 VHA Survey of Primary Care Practices and the 2001 VHA Survey of Women Veterans Health Programs and Practices. The dependent variable was a binary indicator for diagnosed depression during FY2001 at the individual level. We used a multilevel logistic regression model to control for clustering of women veterans within facilities. Individual-level independent variables included demographics, socioeconomic characteristics, and chronic physical conditions. RESULTS: Overall, 27% of women veterans using the VHA were diagnosed as having depression in FY2001. Across facilities, rates of diagnosed depression varied from 13% to 41%. After controlling for individual-level and facility-level independent variables, women veterans who were served in separate women's health clinics with integrated physical and mental healthcare were more likely to have diagnosed depression. The adjusted odds ratio was 1.12 (95% confidence interval, 1.01-1.25). CONCLUSIONS: Existing women-specific VHA organizational features with integration of primary care and mental health seem effective in diagnosing depression. Emerging patient-centered medical home models may facilitate diagnosis and treatment of mental health issues among women with complex chronic conditions.