Development of the Family Togetherness Scale: A Mixed-Methods Validation Study in Kenya.

Journal: Frontiers in psychology

Volume: 12

Issue: 

Year of Publication: 

Affiliated Institutions:  Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, Durham, NC, United States. Duke Global Health Institute, Duke University, Durham, NC, United States. Department of Behavioral Sciences, College of Health Sciences, School of Medicine, Moi University, Eldoret, Kenya.

Abstract summary 

Family functioning is an important target of clinical intervention and research given its close ties with mental health outcomes of both children and adults. However, we lack family functioning measures validated for use in many low- and middle-income country (LMIC) settings. In this mixed-methods prospective diagnostic accuracy study, we first used formative qualitative data to develop an extensive battery of screening items to measure family functioning in Kenya. We then recruited 30 Kenyan families ( = 44 adults; 30 youth aged 8-17 years) to complete the questionnaires and participate in clinical interviews conducted by local interviewers. Quantitative and qualitative analyses were then conducted to select a subset of screening items that balanced conceptual understanding of family distress with diagnostic efficiency and accuracy to yield a brief but valid scale. The final index test consisting of 30 items correctly identified distressed families in 89% of cases according to adult-report and 76% of cases according to child-report. The optimal cutoffs are associated with estimates of sensitivity/specificity of 0.88/0.90 and 0.75/0.77 for adult-report and child-report measures, respectively. The final measure-the -assesses global family functioning, including items related to family organization, emotional closeness, and communication/problem-solving. In addition to general items, the scale also includes items explicitly assessing family responses to stressors common in LMIC settings. Results establish a strong rationale for larger-scale validation studies.

Authors & Co-authors:  Puffer Giusto Rieder Friis-Healy Ayuku Green

Study Outcome 

Source Link: Visit source

Statistics
Citations :  American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. Washington, DC: American Psychiatric Association.
Authors :  6
Identifiers
Doi : 662991
SSN : 1664-1078
Study Population
Male,Female
Mesh Terms
Other Terms
Kenya;assessment;child mental health;diagnostic accuracy;family functioning;global mental health;low- and middle income countries;measure validation
Study Design
Study Approach
Quantitative,Qualitative,Mixed-Methods
Country of Study
Kenya
Publication Country
Switzerland