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Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
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Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
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Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version

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Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version
Journal Article

Caregiver strain among patients of palliative care in Sri Lanka: validation of modified caregiver strain index - Sinhala version

2023
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Overview
Background Care givers of Palliated patients are at risk of adverse physical, psychosocial and emotional sequelae in varied nature. Efficient and valid assessment tools facilitate early detection to take corrective measures. The Modified Caregiver Strain Index (MCSI), composed of domains associated with caregiver strain is a simple and brief tool that can be used in both clinical and field settings. This study aimed to adapt and validate this in order to cater effective palliative care services in Sri Lanka. Methods After cross-cultural adaptation, 200 primary caregivers in 3 teaching hospitals were recruited. The internal consistency, item-total correlations, of the 13-item S-MCSI were performed. The criterion validity was assessed by Pearson correlation between the total scores of S-MCSI, the Karnofky Performance Scale and the Barthel index. Construct validity was determined by the principal component analysis keeping the Varimax with Keiser normalization as the rotation method. The Kaiser-Meyer-Olkin test (KMO) and Bartlett’s test of sphericity statistics were also performed to determine the adequacy of the sample and correlations between items, respectively. The number of factors was determined by the Scree plot, percentage of variance explained by each component and number of Eigen values over 01 (Kaiser-Guttman rule). Results The total MCSI score ranged 0 to 26. The overall Cronbach’s alpha of the 13-item questionnaire was 0.80 while item-total corrections ranged 0.34 to 0.62, exception of one item (0.11). Inverse correlations were demonstrated in total scores of MCSI and Karnofky Performance Scale (r =- 0.32, p < 0.001) and Barthel index (r =-0.34, P < 0.001). A Kaiser-Meyer-Olkin value of 0.79 (p < 0.001) for Bartlett’s test indicated adequate sampling and nonlinearity of factors. The Scree plot showed a three-factor structure explaining 57% of the variation. Items regarding personal wellbeing of caregiver loaded together while the effects on the family loaded separately. Adjustment of personal concerns and family issues along with time alteration grouped as the third factor. Conclusions The study showed that the Sinhala version of MCSI has adequate psychometric properties and reliability to be used as a validated tool to estimate the caregiver burden within a short time period for any health care workers.