DOI: 10.5061/dryad.zkh1893dq
title: Data from: Validation of Quality-of-Life assessment tool for Ethiopian old age people

description: Background: Reliable quality of life assessment is critical for
 identifying health issues, evaluating health interventions, and
 establishing the best health policies and care packages. The World Health
 Organization Quality of Life-Old Module is a tool for assessing the
 subjective quality of life in old age people. It's validated and
 available in more than 20 languages, except Amharic. Hence, this study was
 intended to translate it into Amharic language and validate it among old
 age people in Ethiopia. Methods: A cross-sectional study was conducted
 among 180 community-dwelling old age people in Ethiopia, from January 16
 to March 13, 2021. Psychometric validation was achieved through Cronbach’s
 alpha of the internal consistency reliability test, and construct validity
 from confirmatory factor analysis. Results: The study participants aged
 from 60 to 90 years old with a mean age of 69.44. Females made up 61.7% of
 the population, and 40% of them could not read and write. The results
 showed a relatively low level of quality of life, with the total
 transformed score of 58.58 ± 23.15. The Amharic version of the World
 Health Organization Quality of Life-Old Module showed a Cronbach’s Alpha
 value of 0.96 and corrected item-total correlations of more than 0.74.
 Confirmatory factor analysis confirmed the six-factor model with a
 chi-square (X2) of 341.98 with a p-value less than 0.001. The comparative
 fit index (CFI) was 0.98, Tucker-Lewis’s index (TCL) was 0.97, and the
 root mean square error of approximation (RMSEA) was 0.046. Conclusion: The
 Amharic version of the World Health Organization Quality of Life-Old
 Module indicated good internal consistency reliability and construct
 validity. The tool can be utilized to provide care to Ethiopian
 community-dwelling old age people.
description: Study setting This study was conducted in
 Ethiopia. Study design and period
 A cross-sectional study design was conducted from January 16 to
 March 13, 2021. Study population, sample size and
 sampling procedures   This study utilized two groups
 of the population. The first group was health care experts used for
 content validation, and the second group was community-dwelling old age
 people for psychometric validation. The detailed study methods for study
 population, sample size, and sampling procedures were described in the
 previous study. Validation process
 This tool validation study was conducted in three stepwise
 phases. The first phase was to review existing QoL assessment tools for
 old age people. In the second phase, selection, translation, and review of
 the tool by experts were conducted. In the last phase, psychometric
 validation among community-dwelling old age people was
 performed. The novel form contains a total of 24 items
 assembled into six domains, each with four items: autonomy (AUT), past,
 present, and future activities (PPF), sensory abilities (SAB), social
 participation (SOP), death and dying (DAD), and intimacy (INT). The module
 evaluates mostly the two-week duration of testing in self-report form.
 Although each object is rated on a Likert scale of 1 to 5, they differ in
 their anchors. Each domain provides an individual score ranging from 4 to
 20. The component values can also be converted to a scale of 0 to 100.
 Furthermore, summing the individual item values yields total scores from
 24 to 120, with higher scores indicating better QOL.
 Data collection Data were conducted from two
 groups: healthcare experts and community-dwelling old age people, in
 exploratory mixed qualitative and quantitative methods. Each expert
 evaluated the content validity of the tool through face-to-face contact.
 The experts' and old age people’s comments were used for words,
 grammar, clarity, appropriate scoring, and applicability of items. After
 incorporating the experts’ comments, psychometric validation was conducted
 among community-dwelling old age people. Six urban
 health extension workers and six BSc nurses collected the data after two
 days of training. The principal investigator and a master’s-degree-trained
 nutritionist supervised the data collection process. The data were
 collected through face-to-face interviews using the standardized Amharic
 version of the questionnaires. Assistance from family members or
 caregivers was also used.
description: The international business machines
 corporation statistical package for the social science (IBM
 SPSS) can be used to open the
 data.