Exploring the Interplay of Social Support, Depression, and Quality of Life of Community Older Adults Through Structural Equation Modeling.

Social support (SS) has been widely recognized to have a protective effect influencing older adults' emotional and psychological well-being. This study aimed to determine the relationships of structural SS and functional SS on depression and quality of life among the community-dwelling older adults in the rural and Asian context. A cross-sectional study was conducted among 2324 community older adults aged 60 years and above in Kuala Pilah, Malaysia. Participants were recruited via multistage sampling and interviewed face-to-face. The relationships were analyzed using structural equation modeling. Structural SS was associated with functional SS (ß = 0.05). Only functional SS (having a role, knowing what is going on, and having a confidant) was found to be significantly associated with depression (ß = -0.07) and quality of life (physical component [ß = 0.08], mental component [ß = 0.31]). In summary, functional SS and familial SS should be addressed to reduce depression and improve quality of life among older adults. Community initiatives to increase awareness in optimizing social support should be conducted for quality of life among community older adults.

Social support and depression among community dwelling older adults in Asia: a systematic review.

OBJECTIVES: This review aims to: (1) explore the social support measures in studies examining the association between social support and depression among community-dwelling older adults in Asia and (2) the evidence of association. DESIGN: A systematic review was conducted using electronic databases of CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science for articles published until the 11th of January 2018. ELIGIBILITY CRITERIA: All observational studies investigating the association between social support and depression among community-dwelling older adults in Asia were included. PARTICIPANTS: Older adults aged 60 years and more who are living in the community. EXPOSURE MEASURES: Social support. OUTCOME MEASURES: Depression. RESULTS: We retrieved16 356 records and screened 66 full-text articles. Twenty-four observational studies were included in the review. They consisted of five cohort studies and 19 cross-sectional studies. Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. Good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among community-dwelling older adults in Asia. CONCLUSIONS: There were 20 different social support measures and we applied a framework to allow for better comparability. Our findings emphasised the association between good social support and decrease depression among older adults. Compared with western populations, family support has a greater influence on depression among community-dwelling older adults in Asia. This indicates that the family institution needs to be incorporated into designed programmes and interventions when addressing depression in the Asian context. TRIAL : registration number : CRD42017074897.

Mobile App Design, Development, and Publication for Adverse Drug Reaction Assessments of Causality, Severity, and Preventability.

BACKGROUND: Adverse drug reactions (ADRs) cause significant morbidity and mortality. Improved assessment of ADRs to identify the causal relationship, the severity, and the preventability will aid ADRs prevention or reduce patient burden. OBJECTIVE: The aim of this study was to develop mobile apps in assisting clinical decision in ADR assessments of causality, severity, and preventability using validated tools. The usability of the apps was assessed. METHODS: We designed mobile apps using validated assessment tools for ADRs. They are the Liverpool ADRs Causality Assessment Tool, Hartwig's Severity Assessment Scale, and the Modified Schumock and Thronton Preventability Scale. The apps were named "Adverse Drug ReactionCausality," "Adverse Drug ReactionSeverity," and "Adverse Drug RxnPreventability." A survey was conducted using the System Usability Scale (SUS) to assess the usability of the developed apps among health care professionals. RESULTS: These apps are available for download through Google Play Store for free since January 2015. From the survey, the mean SUS score was 70.9 based on 26 responses from the pediatric ward of Hospital Ampang, Malaysia. CONCLUSIONS: The developed apps received an overall acceptable usability among health care professionals. The usage of these apps will improve detection, assessment, and avoidance of future ADRs. They will also contribute to future research on ADRs, thus increasing drug safety.