Table 3.
Citation | Title abbreviation | Study goal | Study design | Study methodology | Setting and sample | Study findings | Methods and strategies used to identify & address SDoH issues |
---|---|---|---|---|---|---|---|
Gimpel et al. (2010) | Patient perceptions of a community‐based care coordination system. | To assess the efficacy of including CHW as care coordinators into education programs/groups to address social concerns, and provide clinical support to patients with T2DM and depression | Exploratory | Focus groups |
Community‐based setting. Dallas USA ‘Project Access Dallas‐care coordination system’ N = 24 |
Participants reported the support of community‐based workers as a helpful inclusion. Benefits were also reported in participating in groups e.g. social support and understanding |
Identifying Modified risk assessment tool (identifying‐social concerns, risk of developing T2DM, depression) Addressing Include strategies to address SDoH, for example, how use public transportation and facilitating access to healthcare. Incorporated the use of community health workers |
Walker et al. (2014a) | Independent effects of socioeconomic and psychological social determinants of health on self‐care and outcomes in T2DM | To investigate independent effects of socio‐economic and psychological SDoH factors on DM knowledge, self‐care and QoL | Cross‐sectional | Statistical analyses to provide information on individual and collective contribution of different SDoH to T2DM |
Adult primary care clinic USA N = 615 |
T2DM knowledge and self‐care: Significantly associated with SES and psychological components of SDoH T2DM outcomes: Significantly associated with higher SES and self‐efficacy and lower diabetes distress and perceived stress QoL: Significantly associated with higher education, lower depression, lower psychological distress, lower perceived stress, and higher social support |
Identifying Participants completed validated questionnaires Addressing Not Included Recommendations for further research to inform future interventions designed to improve self‐care and outcomes for patients with T2DM |
Walker et al.. (2014b) | Relationship between SDoH and processes and outcomes in adults with T2DM: validation of a conceptual framework | To validate a conceptual framework that clarifies the pathways linking SDoH to health outcomes of people with T2DM. | Cross‐sectional | Path analysis used to determine if SDoH factors independently predict glycaemic control, or show an association with mediators/moderators of T2DM care components |
Adult primary care clinic USA. N = 615 |
Significant paths were associated with SDoH and glycaemic control through direct association and mediators/moderators of diabetes care components |
Identifying Participants completed validated questionnaires Addressing Recommendation to include SDoH in future research and T2DM intervention |
Walker et al. (2015a) | Quantifying Direct Effects of SDoH on Glycemic Control in Adults with T2DM | To investigate if self‐care is the pathway through which SDoH impact T2DM outcomes | Cross‐sectional | Structured equation modelling investigated the relationship between SDoH, self‐care and glycaemic control |
Adult primary care clinic USA N = 615 |
An association between self‐care and SDoH is suggested, but is not mediated by self‐care A direct relationship identified between psychosocial determinants of health and glycaemic control |
Identifying Participants completed validated questionnaires Addressing Interventions should take psychosocial factors into account as independent influences on T2DM outcomes, rather than influences on self‐care |
Walker et al. (2015b) | Understanding the influence of psychological and socioeconomic factors on DM self‐care using structured equation modelling | To develop and test latent variables of SDoH that influence diabetes self‐care | Cross‐sectional |
Confirmatory factor analysis identified the latent factors underlying socio‐economic determinants, psychosocial determinants and self‐care Structured equation modelling was used to investigate the relationships between the above determinants and self‐care |
Adult primary care clinic USA N = 615 Self‐efficacy, psychosocial distress and social support also had an influence over behaviour |
Psychosocial factors can be separated into three latent constructs; psychological distress, social support and self‐efficacy Better self‐care is associated with lower psychological distress, higher social support and higher self‐efficacy |
Identifying Participants completed validated questionnaires Addressing Consider psychosocial, self‐efficacy, social support and psychological distress separately rather than collectively Incorporate behavioural and psychological strategies in future T2DM interventions |
Walker et al. (2015) | SDoH in adults with T2DM‐Contribution of mutable and immutable factors |
To increase understanding about the role of multiple SDoH factors on glycaemic control of individuals with T2DM To identify which SDoH factors are, mutable and immutable |
Cross‐sectional | Statistical analysis using a hierarchical model with HbA1c as a dependent variable with block independent variables i.e. Demographics, socio‐economic, psychosocial, built environment, clinical, and knowledge/self‐care |
Adult primary care clinic USA N = 615 |
Significant associations with HbA1c included self‐efficacy, social support, comorbidity, insulin use, medication adherence and smoking behaviour SDoH factors that drive glycaemic control are modifiable and therefore worthy of inclusion in health interventions |
Identifying Participants completed validated questionnaires Addressing Recommendations for greater acknowledgement of SDoH required to reduce the commodities associated with glycaemic control. Recommendations for DM education and skills training to include SDoH factors |
Loh et al. (2015) | Dunedin's free clinic: an exploration of its model of care using case study methodology | To determine if the services provided met the social vulnerability need of clients |
Mixed method Descriptive (nested case study) |
Created a profile of patient need using various measures. Then applied an analytic matching technique to assess the degree of alignment between services provided and patient need |
Community‐based free health clinic NZ
N = 406
|
Patient need complicated by coexisting social vulnerability. Suggested a degree of fit between the services provided and the need of the patients. Highlighted importance of a model of care that caters for patients with complex social need |
Identifying Collected patient need through journal entries, patient encounters, self‐administered surveys, medical certificates issued, hospital admissions, justice system use, and computer database records Addressing Not Included |
Rose (2005) | Socioeconomic Barriers to DM Self‐care: Development of a Factor Analytic Scale | To describe the development of a measurement tool for assessing SES barriers to T2DM self‐care |
Cross‐sectional Part of a mixed method study investigating socio‐cognitive factors/barriers accompanying DM self‐care (quantitative component) |
Theoretical constructs followed by telephone surveys to develop SES assessment measures Factor analysis on SES‐related diabetes self‐care barriers |
Diabetes register from Fairfield division of GP’s. Australia N = 105 |
SES barriers identified through the factor analysis consists of ‘place barriers’ and ‘information barriers’ SES cost‐related barriers failed to form one factor in the analysis Further development required |
Identifying Phone survey developed using theoretical constructs Addressing Not Included |
Rosland et al. (2014) | Social Support and Lifestyle versus. Medical DM Self‐Management in the Diabetes Study of Northern California (DISTANCE) | To examine the relationship between social support and T2DM self‐management/lifestyle behaviours, and self‐management/medical behaviours | Cross‐sectional |
Self‐management and social support, including SDoH factors assessed using the DISTANCE questionnaire, and administrative data Poisson regression models to estimate ARR of self‐management behaviours at high and low levels of social support |
Integrated managed‐care consortium. California, USA N = 13,366 |
Clearer association with high levels of self‐support and positive self‐management/lifestyle behaviours compared to medical behaviours |
Identifying DISTANCE survey specifically designed to assess self‐management behaviours of T2DM patients. Includes social support and SDoH factors Addressing Not included |