Using Photovoice and Asset Mapping to Inform a Community-Based Diabetes Intervention, Boston, Massachusetts, 2015

Community Asset Mapping in Public Health: A Review of Applications and Approaches

Though Community Asset Mapping (CAM) has been widely used in community-development and applied to public health interventions, little has been done to synthesize the current state of this approach. This paper reports the findings from a scoping review of research where CAM was applied to public health practice and research initiatives. We identified and reviewed 28 articles featuring studies that used asset mapping for public health purposes. Overall, we found that the purpose and methods related to asset mapping varied widely across studies. Given the potential benefits of asset mapping and its relevance to social work principles, researchers and public health professionals should approach asset mapping with the same level of attention, rigor, and ethics as other research methodologies or intervention design. There is an obligation to engage in asset mapping in ways that promote our ethical principles of service, dignity, integrity, and competence.

Citizen science helps to raise awareness about gut microbiome health in people at risk of developing non-communicable diseases

Citizens lack knowledge about the impact of gut microbiota on health and how lifestyle and dietary choices can influence it, leading to Non-Communicable Diseases (NCDs) and affecting overall well-being. Participatory action research (PAR) is a promising approach to enhance communication and encourage individuals to adopt healthier behaviors and improve their health. In this study, we explored the feasibility of integrating the photovoice method with citizen science approaches to assess the impact of social and environmental factors on gut microbiota health. In this context, citizen science approaches entailed the involvement of participants in the collection of samples for subsequent analysis, specifically gut microbiome assessment via 16S rRNA gene sequencing. We recruited 70 volunteers and organized six photovoice groups based on age and educational background. Participants selected 64 photographs that represented the influence of daily habits on gut microbiota health and created four photovoice themes. Analysis of the gut microbiome using 16S rRNA gene sequencing identified 474 taxa, and in-depth microbial analysis revealed three clusters of people based on gut microbiome diversity and body mass index (BMI). Our findings indicate that participants enhanced their knowledge of gut microbiome health through PAR activities, and we found a correlation between lower microbial diversity, higher BMI, and better achievement of learning outcomes. Using PAR as a methodology is an effective way to increase citizens' awareness and engagement in self-care, maintain healthy gut microbiota, and prevent NCD development. These interventions are particularly beneficial for individuals at higher risk of developing NCDs.

A participatory practice study for the improvement of sub-regional health vulnerabilities: a qualitative study

Background

This study aimed to explore the experiences of the residents of Samho-dong with the health environment in the local community, and their in-depth opinions on health promotion using a photovoice methodology. Alternatives to improve health among the residents of Samho-dong were also discussed with the local residents, with the aim of translating suggestions from the discussion into practice.

Methods

A total of 195 photographs taken by the 15 participants over the course of 7 weeks were collected, along with 96 photovoice activity logs and transcription data from 5 rounds of focus group discussions. The photovoice activity logs consisted of the photographer’s name, the dates photos were taken, and a series of responses to the following SHOWeD questions: “What do you SEE here?”, “What is really HAPPENING?”, “How does this situation or scenario affect OUR lives/health?”, “WHY does this problem or strength Exist?”, “What can we DO about it?”. Direct content analysis was used for analysis.

Results

The analysis yielded a total of 247 semantic units, which were categorized into the themes, “the good, but insufficiency, living environment in Samho-dong,” “the health environment in Samho-dong needs improvement,” “small efforts to improve Samho-dong,” and “points of improvement for a better Samho-dong”. Samho-dong was found to have a poorer walking and transportation infrastructure than other regions, even though it was a town with a large elderly population. The dark streets in the residential complex made participants hesitate to engage in afternoon activities, and the insufficient traffic environment made it difficult to live a natural daily life by solving food, clothing, and shelter. Participants have made various attempts to solve areas that need improvement in the Samho-dong, which has led to actual improvement. It was analyzed that in order to make Samho-dong better, it was necessary to improve the perception of residents in Samho-dong and cooperate with the local community.

Conclusions

This study was significant in that it enabled the in-depth exploration and identification of areas of improvement from the participants’ perception of their health environment, considering that as residents, they are the direct stakeholders of the community health environment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14111-x.

Resilience and diabetes self-management among African-American men receiving primary care at an urban safety-net hospital: a cross-sectional survey

BACKGROUND

Resilience is the ability to adapt to adverse life events. Studies that explore diabetes self-management interventions integrating resilience in African-Americans with diabetes include few African-American men, who have higher diabetes-related mortality and complication rates compared to African-American women.

DESIGN

We conducted a cross-sectional study of African-American men with uncontrolled diabetes living in diabetes hotspots. We measured resilience levels using the General Self Efficacy Scale (GSES), adherence to diabetes self-management behaviors using the Diabetes Self-Management Questionnaire (DSMQ), and incarceration history by phone survey. We categorized participants as higher or lower resilience level and higher or lower adherence to diabetes self-management behaviors. Using multivariable logistic regression, we examined the relationship between resilience and adherence to diabetes self-management behaviors. Our model accounted for potential confounders, including age, incarceration history, and socioeconomic factors.

RESULTS

Of 234 patients contacted by mail and phone, 94 (40.2%) completed the survey. Mean age was 60.6 years, 59.5% reported an annual household income of less than $20,000, and 29.8% reported a history of incarceration. The mean unadjusted GSES score was 25.0 (sd 5.2; range: 0-30, higher scores indicate greater resilience), and the mean DSMQ score was 7.34 (sd 1.78; range: 0-10, higher scores indicate greater adherence to diabetes self-management behaviors). In multivariable analyses, higher levels of resilience were associated with higher adherence to diabetes self-management behaviors (aOR = 9.68, 95% CI 3.01, 31.12). History of incarceration was negatively associated with higher adherence to diabetes self-management behaviors (aOR = 0.23, 95% CI 0.06, 0.81).

CONCLUSIONS

Resilience and personal history of incarceration are associated with adherence to diabetes self-management behaviors among African-American men residing in diabetes hotspots. Future interventions should incorporate resilience training to improve diabetes self-management behaviors. At a societal level, social determinants of health that adversely affect African-American men, such as structural racism and mass incarceration, need to be eliminated.

What about Using Photovoice for Health and Safety?

The positive reception of Wang and Burris' photovoice method, published in 1997, has led to a proliferation of ways in which professionals deploy photovoice in a widening range of application fields, e.g., public health, social development and phenomenological research of human experiences. A scoping review method is used to obtain an overview of current photovoice designs and of application examples in the health and safety domain. The results show a variety of method designs. Our findings indicate that all of the photovoice designs are composed from different combinations of eleven process steps. Five generic objectives cover the range of application examples found in our literature study. We therefore condensed the variety into five generic photovoice designs for: (a) communication, (b) education, (c) exploration, (d) awareness, and (e) empowerment purposes. We propose this for use in a classification system. The potential for application of these photovoice designs in safety management is illustrated by the existence of various safety related application examples. We argue that the five generic designs will facilitate the implementation and usage of photovoice as a tool. We recommend that both a theoretical framework and guidance are further developed. We conclude that photovoice holds potential for application in health and safety management.

Identifying priority and bright spot areas for improving diabetes care: a geospatial approach

The objective of this study was to describe a novel geospatial methodology for identifying poor-performing (priority) and well-performing (bright spot) communities with respect to diabetes management at the ZIP Code Tabulation Area (ZCTA) level. This research was the first phase of a mixed-methods approach known as the focused rapid assessment process (fRAP). Using data from the Lehigh Valley Health Network in eastern Pennsylvania, geographical information systems mapping and spatial analyses were performed to identify diabetes prevalence and A1c control spatial clusters and outliers. We used a spatial empirical Bayes approach to adjust diabetes-related measures, mapped outliers and used the Local Moran's I to identify spatial clusters and outliers. Patients with diabetes were identified from the Lehigh Valley Practice and Community-Based Research Network (LVPBRN), which comprised primary care practices that included a hospital-owned practice, a regional practice association, independent small groups, clinics, solo practitioners and federally qualified health centres. Using this novel approach, we identified five priority ZCTAs and three bright spot ZCTAs in LVPBRN. Three of the priority ZCTAs were located in the urban core of Lehigh Valley and have large Hispanic populations. The other two bright spot ZCTAs have fewer patients and were located in rural areas. As the first phase of fRAP, this method of identifying high-performing and low-performing areas offers potential to mitigate health disparities related to diabetes through targeted exploration of local factors contributing to diabetes management. This novel approach to identification of populations with diabetes performing well or poor at the local community level may allow practitioners to target focused qualitative assessments where the most can be learnt to improve diabetic management of the community.

Linking the Flint Food Store Survey: Is Objective or Perceived Access to Healthy Foods Associated with Glycemic Control in Patients with Type 2 Diabetes?

Type 2 diabetes mellitus (DM-2) remains a significant public health concern, particularly in low-income neighborhoods where healthy foods may be scarcer. Despite the well-known relationship between diet and diabetes, little evidence exists on the connections among the objectively measured community and consumer food environment, perception of food access, and diabetes management or outcomes. This cross-sectional, ecological study represents the first example of combining a GIS-based, objectively measured food store audit considering quality, variety, and price of foods in stores with a clinical survey of patients with DM-2 (n = 126). In this way, we offer evidence on the relationship between healthy food access-measured more robustly than proximity to or density of certain store types-and diabetes management knowledge, medication adherence, and glycemic control. Better glycemic control was not correlated with better overall food store score, meaning that people in neighborhoods with better access to healthy foods are not necessarily more likely to manage their diabetes. While perceived healthy food access was not correlated with glycemic control, it was strongly correlated with objective healthy food access at shorter distances from home. These results have great importance both for clinical understanding of the persistence of poor diabetes management outcomes and for the understanding of the influence of the food environment on health behaviors.

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

Since Aaron Antonovsky’s salutogenesis theory and Morgan and Ziglio’s health assets model were first proposed, there has been a growing concern to define the resources available to the individual and the community to maintain or improve health and well-being. The aim of the present study was to identify the dimensions that characterise community assets for health. To this end, we conducted a systematised review with a meta-synthesis and content analysis of research or projects involving asset mapping in the community. Articles that met our eligibility criteria were: (1) based on the salutogenic approach and (2) described an assets mapping process and among their results, explained what, how and why particular community assets for health had been selected. The search included primary studies in the published and grey literature which were selected from websites and electronic databases (Web of Science, MEDLINE, Scopus, EBSCOhost, Dialnet, SciELO). Of the 607 records examined by a single reviewer, 34 were included in the content analysis and 14 in the qualitative synthesis. Using an inductive process, we identified 14 dimensions with 24 categories, for which in-depth literature reviews were then carried out to define specific indicators and items. These dimensions were: utility, intention, previous use, accessibility (“circumstances–opportunity–affordability”), proximity-walkability, connectivity, intelligibility (visibility, transparency), identity (uniqueness, appropriability, attachment), design (configuration, functionality, comfort), safety (objective/subjective), diversity, the dimension of public and private, and sustainability (which includes maintenance, profitability or economic sustainability, environmental sustainability, centrality-participation and equity-inclusiveness).

Back in the Day: Nostalgia Frames Rural Residents' Perspectives on Diet and Physical Activity

OBJECTIVE

To observe and interpret cultural influences on health behaviors in a rural area with a high prevalence of obesity.

DESIGN

Descriptive, qualitative study.

SETTING

Lenoir County, NC, US.

PARTICIPANTS

Four focus groups (n = 33) were conducted. Participants were 76% African American and with an average of 25 years of county residence.

PHENOMENON OF INTEREST

Diet, physical activity, environment ANALYSIS: Content analysis and thematic data analysis to identify key themes using qualitative analysis software.

RESULTS

Participants frequently evoked nostalgia to frame recurrent themes including decreased opportunities for physical activity and changing food access and preparation in the community, contrasting with memories of enjoying local produce and safe outdoor recreation. They interpreted present health behaviors in the context of these past losses.

CONCLUSIONS AND IMPLICATIONS

Nostalgia is an important element in our participants' cultural repertoires, revealing elements of place-based culture. Nostalgic narratives may foster a sense of reduced options for healthy eating and exercise by over-emphasizing loss. The incorporation of place-specific obesogenic cultural factors, including the way residents juxtapose past and present, may improve obesity interventions in rural settings.

Neighborhood Environments and Diabetes Risk and Control

PURPOSE OF REVIEW

The objective of this review is to highlight the evidence on the association between contextual characteristics of residential environments and type 2 diabetes, to provide an overview of the methodological challenges and to outline potential topics for future research in this field.

RECENT FINDINGS

The link between neighborhood socioeconomic status or deprivation and diabetes prevalence, incidence, and control is robust and has been replicated in numerous settings, including in experimental and quasi-experimental studies. The association between characteristics of the built environment that affect physical activity, other aspects of the built environment, and diabetes risk is robust. There is also evidence for an association between food environments and diabetes risk, but some conflicting results have emerged in this area. While the evidence base on the association of neighborhood socioeconomic status and built and physical environments and diabetes is large and robust, challenges remain related to confounding due to neighborhood selection. Moreover, we also outline five paths forward for future research on the role of neighborhood environments on diabetes.