Dimensions of Community Assets for Health. A Systematised Review and Meta-Synthesis

Successes and challenges of partnership working to tackle health inequalities using collaborative approaches to community-based research: mixed methods analysis of focus group evidence

BACKGROUND

The concept of collaborative approaches involves community residents in joint decision-making processes to maintain or enhance their material and social conditions. During COVID-19, public services saw the benefits of actively collaborating with communities and involving residents in decision-making processes. As communities have resources and assets, they are well-placed to contribute to developing local health and wellbeing initiatives. An interdisciplinary and nationally funded three-phase research programme, "Mobilising community assets to tackle health inequalities", was established with the objective of utilising local, cultural, and natural assets to support health and wellbeing. The current study aimed to synthesise evidence collected by research teams awarded funding in phase one of the programme, comprising academic and non-academic, health and social care, voluntary and community partners.

METHODS

Ten online focus groups were conducted with research teams from across the UK exploring the successes and challenges of partnership working to tackle health inequalities using collaborative approaches to community-based research. Eight focus group questions were split between partnership working and health inequalities.

RESULTS

Thematic and content analysis produced 185 subthemes from which 12 themes were identified. Major themes representing an above average number of coded responses were research evidence; funding; relationships with partners; health inequalities and deprivation; community involvement; and health service and integrated care systems. Minor themes were link workers and social prescribing; training and support; place-based factors; longevity of programmes; setting up and scaling up programmes; and mental health.

CONCLUSIONS

Successes included employing practice-based and arts-based methods, being part of a research project for those not normally involved in research, sharing funding democratically, building on established relationships, and the vital role that local assets play in involving communities. Challenges involved a lack of sustainable financial support, the short-term nature of funding, inconsistencies in reaching the poorest people, obtaining the right sort of research evidence, making sufficient research progress, building relationships with already over-burdened health care staff, and redressing the balance of power in favour of communities. Despite the challenges, participants were mainly optimistic that collective approaches and meaningful co-production would create opportunities for future research partnerships with communities.

Health Promoting Universities and the salutogenic theory: contemporary challenges in the Latin American reality

The objective is to reflect on the existing articulation between Aaron Antonovsky's salutogenic theory and Health Promoting Universities, highlighting the challenges for the operationalization of health promotion actions in the Latin American university scenario in the contemporary world. The visible adherence of the ideas of the salutogenic theory to the guiding components of the Health Promoting Universities movement was identified, which has contributed to successful experiences around the world. Practices in the light of salutogenic theory can be considered effective strategies for improving the quality of life in the university setting; however, it is necessary for those involved to detach themselves so that the logic of acting based on a pathogenic process is broken. Furthermore, regional challenges in the Latin American reality must be understood and overcome with the support of public policies.

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

BACKGROUND

Contextual variables that capture the characteristics of delimited geographic or jurisdictional areas are vital for health and social research. However, obtaining data sets with contextual-level data can be challenging in the absence of monitoring systems or public census data.

OBJECTIVE

We describe and implement an 8-step method that combines web scraping, text mining, and spatial overlay analysis (WeTMS) to transform extensive text data from government websites into analyzable data sets containing contextual data for jurisdictional areas.

METHODS

This tutorial describes the method and provides resources for its application by health and social researchers. We used this method to create data sets of health assets aimed at enhancing older adults' social connections (eg, activities and resources such as walking groups and senior clubs) across the 374 health jurisdictions in Catalonia from 2015 to 2022. These assets are registered on a web-based government platform by local stakeholders from various health and nonhealth organizations as part of a national public health program. Steps 1 to 3 involved defining the variables of interest, identifying data sources, and using Python to extract information from 50,000 websites linked to the platform. Steps 4 to 6 comprised preprocessing the scraped text, defining new variables to classify health assets based on social connection constructs, analyzing word frequencies in titles and descriptions of the assets, creating topic-specific dictionaries, implementing a rule-based classifier in R, and verifying the results. Steps 7 and 8 integrate the spatial overlay analysis to determine the geographic location of each asset. We conducted a descriptive analysis of the data sets to report the characteristics of the assets identified and the patterns of asset registrations across areas.

RESULTS

We identified and extracted data from 17,305 websites describing health assets. The titles and descriptions of the activities and resources contained 12,560 and 7301 unique words, respectively. After applying our classifier and spatial analysis algorithm, we generated 2 data sets containing 9546 health assets (5022 activities and 4524 resources) with the potential to enhance social connections among older adults. Stakeholders from 318 health jurisdictions registered identified assets on the platform between July 2015 and December 2022. The agreement rate between the classification algorithm and verified data sets ranged from 62.02% to 99.47% across variables. Leisure and skill development activities were the most prevalent (1844/5022, 36.72%). Leisure and cultural associations, such as social clubs for older adults, were the most common resources (878/4524, 19.41%). Health asset registration varied across areas, ranging between 0 and 263 activities and 0 and 265 resources.

CONCLUSIONS

The sequential use of WeTMS offers a robust method for generating data sets containing contextual-level variables from internet text data. This study can guide health and social researchers in efficiently generating ready-to-analyze data sets containing contextual variables.

Addressing COVID-19 Vaccine Hesitancy With Community Distribution of Conversation Cards

To increase community conversations about COVID-19 vaccine hesitancy, we distributed vaccine cardholders and conversation cards to 6000 newly vaccinated adults at vaccination sites and encouraged them to talk with unvaccinated friends and family members. In 257 onsite exit interviews, we found that cardholders and conversation cards were well liked, and most recipients expected to use them. Follow-up surveys two weeks later showed that 51% of respondents used a card to start a conversation and 41% gave a card to an unvaccinated friend or family member. (Am J Public Health. 2024;114(S1):S87-S91. https://doi.org/10.2105/AJPH.2023.307481).

Estimating the heterogeneous health and well-being returns to social participation

Social participation is defined as an individual's involvement in activities that provide connections with others in society. Past research has demonstrated links between social participation, improved health and well-being, and reduced social isolation, but has been restricted to older people and has not investigated heterogeneity. Using cross-sectional data from the UK's Community Life Survey (2013-2019; N = 50,006), we estimated returns to social participation in the adult population. We included availability of community assets as instruments in a marginal treatment effects model, which allows treatment effects to be heterogeneous and examines whether the effects vary by propensity to participate. Social participation was linked to reduced loneliness and improved health (-0.96 and 0.40 points respectively on 1-5 scales) and increased life satisfaction and happiness (2.17 and 2.03 points respectively on 0-10 scales). These effects were larger for those on low income, with lower education attainment, and who live alone or with no children. We also found negative selection, indicating those less likely to participate have higher health and well-being returns. Future interventions could focus on increasing community asset infrastructure and encouraging social participation for those with lower socio-economic status.

Opinions of Older Individuals on Advance Care Planning and Factors Affecting Their Views: A Systematic Review

The objective of this systematic review is to present older individuals' views on the advance care planning (ACP) process and the factors affecting those opinions. The review contains search terms predetermined in the databases of CINAHL, MEDLINE (via PubMed), Academic Search Ultimate, Web of Science, Master FILE, and TR Dizin over the last 10 years (1 January 2012-31 December 2021) in English and Turkish. The studies were included in the research using inclusion (sample age ≥ 50, focusing on individuals' opinions on ACP) and exclusion (articles whose samples consisted of individuals with a specific disease, non-research articles) criteria. Quality assessment was conducted using the Mixed Methods Appraisal Tool. A narrative synthesis was used to collate findings. The most striking results are the positive perspectives increasing in parallel with the individuals' level of knowledge and experience about ACP. Variables affecting their views are advanced age, marital status, socioeconomic status, perception of remaining life expectancy, self-perceived health, number and stage of chronic diseases, religion, and cultural characteristics. This study offers guidance on the application and dissemination of ACP, empowering the use of this practice given the perspectives of older adults on ACP and the factors that affect them that the data show.

Asset mapping score analysis: a novel public health research methodology applied to maternal and child health resources in New Orleans

BACKGROUND

Asset mapping is a commonly used method in public health to identify and describe the resources within a community. However, there is currently a lack of standardization in the methods used for asset mapping, which can make it difficult for users to apply the method and compare results between different studies. In this article, we present a new approach called Asset Mapping Score Analysis (AMSA), which is a framework for collecting and organizing data on community assets. We provide an example of the AMSA method through its application in the evaluation of maternal and child health resources in New Orleans, Louisiana.

RESULTS

The AMSA approach consists of five steps and results in a data collection tool that uses a scoring system to quantify the functional and content areas defined by the users. This method is flexible, reproducible, quantitative, inexpensive, and can be adapted to fit the needs of different geographic areas and fields of study. It can also be repeated over time to monitor changes in systems. We conducted a pilot study to examine the participation of local maternal and child health organizations in four functional areas (education, direct services, policy/advocacy, and research) and 22 content areas.

CONCLUSIONS

In addition to describing the AMSA method and providing an example of its application, we also discuss the methodological issues involved in using the AMSA approach. These include considerations related to study design, data analysis, and interpreting results. We assess the strengths, limitations, and potential future directions of the AMSA method. Finally, we present the results of our AMSA study on maternal and child health organizations in New Orleans to illustrate the utility of this approach. Our findings suggest that the AMSA method is a valuable tool for understanding and characterizing the assets and resources within a community.

Community Assets for Health Model and Assessment Scale: A Delphi-Based Analysis and Expert Validation

The salutogenesis theory of Aaron Antonovsky and the Health Assets Model of Morgan and Ziglio have given rise to a notable interest in defining the resources available to individuals and the community to maintain or improve their health and well-being. The present study began by identifying the universal dimensions of Community Assets for Health, and then analyzed and validated an assessment scale following the Delphi method. A high degree of consensus was achieved among 13 experts from different disciplines. The results of the content analysis and statistical analysis led to a reconfiguring of an instrument that is so far unique in its approach. It is composed of 103 items across 14 dimensions (utility, intention, previous use, affordability, proximity, walkability, connectivity, intelligibility, identity, design, safety, diversity, public dimension, and sustainability).

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