Development and Psychometric Testing of a Chinese Version of the Caregiver Burden Index for Parents of Children With Allergies

Liu, Pei Ching; Gau, Bih‐Shya; Hung, Chao Chia

doi:10.1016/j.pedn.2014.04.006

Cited by 8 publications

(2 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Activities of daily living Activities of daily living metrics (Finch et al, 1995) ADL Index (Katz et al, 1963) Caregiver burden 15-item Relative Stress Scale (Greene et al, 1982) Burden Index (Liu et al, 2015) Strain Index (Al-Janabi et al, 2010;Kruithof et al, 2015;Robinson, 1983;Visser-Meily et al, 2004) 12-Item Zarit Burden Interview (Bédard et al, 2001) Revised Memory and Behavior Problems Checklist (Teri et al, 1992) 22-Item Zarit Burden Interview (Zarit & Zarit, 1990) Caregiver health status Health Status Questionnaire (Kroenke et al, 2001;Pettit et al, 2001) Center for Epidemiologic Studies-Depression Scale (CES-D) (Radloff, 1977) 20-item version of the General Health Questionnaire (GHQ-20) (Goldberg, 1985;Goldberg & Williams, 1988;Malt, 1989) Hospital Anxiety and Depression Scale (HADS) (Bjelland et al, 2002;Zigmond & Snaith, 1983) Fatigue Severity Scale (Valko et al, 2008) Caregiver preparedness Caregiver Competence Scale (Pearlin et al, 1990) Self-administered carer questionnaire based on Morgan et al (1998) guidelines…”

Section: Outcome Measures Instrumentsmentioning

confidence: 99%

Technology‐based support for stroke caregiving: A rapid review of evidence

Lobo

Abdelrazek

Kensing

et al. 2021

J Nursing Management

View full text Add to dashboard Cite

Aim This rapid review examines the technology‐based interventions for caregivers of stroke proposed in the literature while also identifying the acceptance, effectiveness and satisfaction of the implemented approaches. Background The increasing burden of supporting stroke survivors has resulted in caregivers searching for innovative solutions, such as technology‐based interventions, to provide better care. Hence, its potential to support caregivers throughout the disease trajectory needs to be assessed. Evaluation Five electronic databases were systematically searched for articles related to stroke caregiving technologies based on well‐defined inclusion and exclusion criteria. Key issue(s) Fifteen articles met the inclusion criteria that focused on supporting caregivers through functionalities such as education, therapy and support, remote consultations, health assessments and logs and reminders using different devices. The majority of interventions demonstrated positive conclusions for caregiving impact, acceptance, effectiveness and satisfaction. Conclusion Findings highlight the influences of technology in improving stroke caregiving and the need to include user‐centred design principles to create a meaningful, actionable and feasible system for caregivers. Implications for nursing management Technology can educate and support stroke caregivers, thereby minimizing uncertainty and ensuring better care for the survivor.

show abstract

Section: Outcome Measures Instrumentsmentioning

confidence: 99%

Technology‐based support for stroke caregiving: A rapid review of evidence

Lobo

Abdelrazek

Kensing

et al. 2021

J Nursing Management

View full text Add to dashboard Cite

show abstract

“…A mixed method approach is used frequently in instrument development and validation, particularly when a psychological construct is shaped by cultural factors, with qualitative methods used to gather data for instrument development, and quantitative methods to validate the instrument (Nastasi et al., 2007). This approach has been reported in previous research to develop instruments in various settings, including general health contexts (Klosinski & Farin, 2015; Kuk, Zijlstra, Bours, Hamers, & Kempen, 2016; P. C. Liu, Gau, & Hung, 2015; Tashiro, 2002) and education (Meijer, Verloop, & Beijaard, 2001; Yeung, Woods, Dubrowski, Hodges, & Carnahan, 2015), This mixed method approach has also been employed in the development of mental health scales among woman in India and Haiti (Weaver & Kaiser, 2015), mothers of children with disabilities (Bourke-Taylor, Law, Howie, & Pallant, 2010) and Thai elders (Praditsathaporn, Chandanasotthi, Amnatsatsuee, Nityasudd, & Sunsern, 2011). Elaboration of the current study's approach is outlined below.…”

Section: Methodsmentioning

confidence: 99%

Cultural expressions of depression and the development of the Indonesian Depression Checklist

Widiana

Simpson

Manderson

2018

Transcult Psychiatry

View full text Add to dashboard Cite

Depression may manifest differently across cultural settings, suggesting the value of an assessment tool that is sensitive enough to capture these variations. The study reported in this article aimed to develop a depression screening tool for Indonesians derived from ethnographic interviews with 20 people who had been diagnosed as having depression by clinical psychologists at primary health centers. The tool, which we have termed the Indonesian Depression Checklist (IDC), consists of 40 items. The tool was administered to 125 people assessed to have depression by 40 clinical psychologists in primary health centers. The data were analyzed with Confirmatory Factor Analysis (CFA) (IBM SPSS AMOS Software). CFA identified a five-factor hierarchical model ( χ = 168.157, p = .091; CFI = .963; TLI = .957; RMSEA = .036). A 19-item inventory of the IDC, with five factors - Physical Symptoms, Affect, Cognition, Social Engagement and Religiosity - was identified. There was a strong correlation between the total score of the IDC and total score of the Center for Epidemiological Studies-Depression scale (revised version CES-D), a standard tool for assessing symptoms of depression. The IDC accommodates culturally distinctive aspects of depression among Indonesians that are not included in the CES-D.

show abstract