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Post-stroke Quality of Life Index: A quality of life tool for stroke survivors from Sri Lanka.

ABSTRACT: BACKGROUND:Burden of stroke is rising due to the demographic and epidemiological transitions in Sri Lanka. Assessment of success of stroke-management requires tools to assess the quality of life (QOL) of stroke survivors. Most of currently used QOL tools are developed in high-income countries and may not reflect characteristics relevant to resource-constrained countries. The aim was to develop and validate a new QOL tool for stroke survivors in Sri Lanka. METHODS:The COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) checklist was referred. A conceptual framework was prepared. Item generation was done reviewing the existing QOL tools, inputs from experts and from stroke survivors. Non-statistical item reduction was done for the 36 generated items with modified-Delphi technique. Retained 21 items were included in the draft tool. A cross sectional study was done with 180 stroke survivors. Exploratory Factor Analysis was done and identified factors were subjected to varimax rotation. Further construct validity was tested with 6 a-priori hypothesis using already validated tools (SF-36, EQ-5D-3?L) and a formed construct. Internal consistency reliability was assessed with Cronbach alpha. RESULTS:Four factors identified with principal-component-analysis explained 72.02% of the total variance. All 21 items loaded with a level?>?0.4. The developed tool was named as the Post-stroke QOL Index (PQOLI). Four domains were named as "physical and social function", "environment", "financial-independence" and "pain and emotional-wellbeing". Four domain scores of PQOLI correlated as expected with the SF-36, EQ-5D Index and EQ-5D-VAS scores. Higher domain scores were obtained for ambulatory-group than the hospitalized-group. Higher scores for financial-independence domain were obtained for the group without financial-instability. Five a-priori hypothesis were completely proven to be true. Cronbach-alpha level ranged from 0.682 to 0.906 for the four domains. CONCLUSIONS:There is first evidence for sufficient construct validity of the PQOLI as a valid QOL tool for measuring the QOL of stroke survivors with satisfactory internal consistency reliability.

SUBMITTER: Mahesh PKB

PROVIDER: S-EPMC7370468 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Post-stroke Quality of Life Index: A quality of life tool for stroke survivors from Sri Lanka.

Mahesh P K B PKB Gunathunga M W MW Jayasinghe S S Arnold S M SM Liyanage S N SN

Health and quality of life outcomes 20200720 1

<h4>Background</h4>Burden of stroke is rising due to the demographic and epidemiological transitions in Sri Lanka. Assessment of success of stroke-management requires tools to assess the quality of life (QOL) of stroke survivors. Most of currently used QOL tools are developed in high-income countries and may not reflect characteristics relevant to resource-constrained countries. The aim was to develop and validate a new QOL tool for stroke survivors in Sri Lanka.<h4>Methods</h4>The COnsensus-bas ...[more]

PMID: 32690019

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Project description:BackgroundHealth Related Quality of Life (HRQoL) is an important outcome measure in health economic evaluation that guides health resource allocations. Population norms for HRQoL are an essential ingredient in health economics and in the evaluation of population health. The aim of this study was to produce EQ-5D-3L-derived population norms for Sri Lanka.MethodA population sample (n = 780) was selected from four districts of Sri Lanka. A stratified cluster sampling approach with probability proportionate to size was employed. Twenty six clusters of 30 participants each were selected; each participant completed the EQ-5D-3L in a face-to-face interview. Utility weights for their EQ-5D-3L health states were assigned using the Sri Lankan EQ-5D-3L algorithm. The population norms are reported by age and socio-economic variables.ResultsThe EQ-5D-3L was completed by 736 people, representing a 94% response rate. Sixty per cent of the sample reported being in full health. The percentage of people responding to any problems in the five EQ-5D-3L dimensions increased with age. The mean EQ-5D-3L weight was 0.85 (SD 0.008; 95%CI 0.84-0.87). The mean EQ-5D-3L weight was significantly associated with age, housing type, disease experience and religiosity. People above 70 years of age were 7.5 times more likely to report mobility problems and 3.7 times more likely to report pain/discomfort than those aged 18-29 years. Those with a tertiary education were five times less likely to report any HRQoL problems than those without a tertiary education. A person living in a shanty was 4.3 more likely to have problems in usual activities than a person living in a single house.ConclusionThe population norms in Sri Lanka vary with socio-demographic characteristics. The socioeconomically disadvantaged have a lower HRQoL. The trends of population norms observed in this lower middle income country were generally similar to those previously reported in high income countries.

Project description:ObjectiveIn Bangladesh, the factors that contribute to the reduced quality of life were not systematically investigated in long-term stroke survivors, and only a few studies have used preference-based measures to assess the quality of life. We sought to assess the quality of life in stroke survivors who comprise physical health status, psychological state, social relationship, and surrounding environment of the stroke patients.MethodsThe quality of life among stroke patients was assessed with a semi-structured questionnaire using the validated Bangla Version of the World Health Organization, Quality-of-Life scale among the patients who survived beyond 28 days of first-ever stroke occurrence presenting in the Department of Physical Medicine and Rehabilitation, Bangabandhu Sheikh Mujib Medical University in the period between November 2020 and October 2021.ResultsOf the 77 patients who were identified as post-stroke patients, the mean score of overall quality of life (as assessed by Q1 and scored in a range of 1-5) was 3.14 ± 1.08. The mean scores of quality of life were highest for the psychological domain (51.18 ± 19.73) followed by environmental (52.08 ± 13.13), social (45.62 ± 22.73), and physical domains (37.18 ± 18.56). According to the classification of the Bangla Version of the World Health Organization, Quality-of-Life, 75.3% had a low physical quality of life, 37.7% had a low psychological quality of life, 53.2% had a low social quality of life, and 53.2% had a moderate environmental quality of life. The average scores for the physical, psychological, social, and environmental domains were notably lower in stroke survivors with comorbid chronic conditions such as hypertension, diabetes, heart disease, asthma or chronic obstructive pulmonary disease, obesity, and ischemic heart disease in comparison to those without such conditions.ConclusionIn our study, post-stroke patients with lower quality of life were associated with factors such as female gender, lower level of education, urban dwellers, and chronic diseases.

Project description:Pre-event Quality of Life (QOL) reflects the true social circumstances in which people live prior to the onset of myocardial infarctions. It is believed to be a predictor of the post-event QOL. The aim of this study was to describe the pre-event QOL and its influence on the post-event Quality of Life among patients with ST elevation (STEMI) and Non-ST elevation myocardial infarctions (NSTEMI) using Short Form-36 (SF-36), a generic QOL tool with 8 domains. Documented literature is rare in this regard in Sri Lanka, which is a lower-middle-income country.A cross-sectional study with a 28-day post-discharge follow-up was carried out in 13 hospitals. Three hundred and forty-four patients who were diagnosed with STEMI or NSTEMI were recruited during the hospital stay. The pre-event QOL was measured using an interviewer-administered questionnaire which included the SF-36 QOL tool and medical details. Follow-up QOL was gathered using a questionnaire that was filled and posted back by participants. Of the recruited sample, 235 responded for the follow-up component. Analysis was conducted for associations between pre- and post-discharge QOL. Furthermore, comparisons were made between the STEMI and NSTEMI groups. Mann Whiney U test, Wilcoxon signed rank test and chi square test were used in the analysis.The post-event QOL was lower in seven out of eight domains than the pre-event QOL (p < 0.05). The NSTEMI group had more risk factors and a significantly lower pre-event QOL for seven domains (p < 0.05), when compared to the STEMI group. For seven domains, the post-discharge QOL was not significantly different (p > 0.05) between the STEMI and NSTEMI groups. Post-discharge general-health QOL domain score was higher than the pre-MI score (p = 0.028) and was higher in the STEMI group compared to the NSTEMI group (p = 0.042). Regression analysis showed a significant beta coefficient between pre- and post-QOL for five domains in STEMI and for all domains in NSTEMI groups when adjusted for the disease severity. The R square values ranged from 12.3 to 62.3% for STEMI and 7.3 to 64.8% for NSTEMI.Pre-event QOL is lower in the NSTEMI group compared to the STEMI group. Patients do not regain the previous QOL within one month post-discharge. Post-discharge QOL can be predicted by the pre-event QOL for most domains.

Project description:Globally, the proportion of the elderly is increasing. In comparison to other Southeast Asian countries, Sri Lanka’s population is rapidly aging. The elderly are a vulnerable age group that requires special attention to live a long and healthy life. As, there was a scarcity of data on the elderly’s quality of life, studying the level of quality of life and the associated factors of the elderly in the Jaffna district will provide insight into how to plan interventions to improve the elderly’s overall well-being in Jaffna District and Sri Lanka as well. The study aimed to determine the quality of life of the elderly in the Jaffna district of Sri Lanka and to study the association of socioeconomic factors with the quality of life. This cross-sectional study was conducted among 813 community-dwelling elderly in the Jaffna District of Sri Lanka. Socio-economic characteristics were recorded by way of a structured questionnaire. The WHOQOL-Bref questionnaire was used to assess quality of life in four domains: physical health, psychological, social participation and the environment. The statistical Package of Social Science Software (SPSS) version 21 was used to analyse the data. Univariate, bivariate, and multivariate analyses were applied, p-value less than 0.05 was considered statistically significant. Among the four QOL domains, the mean (SD) score for an environmental domain was (12.1±2.1), (12.0±2.8) for the psychological domain, (11.8±2.3) for the physical health domain, and (10.1±3.0) for the social relationship domain. Factors significantly associated with all domains of QOL included marital status, level of education, living arrangement, employment, level of income, income adequacy and ownership of the house. Furthermore, age, sex, religion, number of children, and presence of monthly income, were significantly associated with at least one domain of QOL of the elderly. According to these findings, the QOL of the elderly in the Jaffna district of Sri Lanka seems low. And it was associated with multiple socio-economic factors. Interventions to improve the QOL of the elderly are anticipated with a higher emphasis on social relationship for the elderly.

Project description:BackgroundBreast cancer and its treatment imposes a significant effect in the quality of life (QOL) of women. Being a developing country with contrasting social and cultural norms to the West, Sri Lankan women may have a different experience on QOL following surgical treatment of breast cancer. This study was conducted to evaluate post-treatment QOL in breast cancer patients and to determine its association with the type of surgery.MethodsA cross sectional study was carried out. Fifty four women with non-metastatic breast cancer who underwent surgery for breast cancer at the Professorial Surgical Unit, Colombo during 2015-2018 and completed a minimum of one year follow up after surgery were invited to participate. Fifty-four women who responded were assessed using the validated EORTC QLQ-C30 and QLQ-BR23 questionnaires. Non-parametric tests were used for statistical analyses.ResultsThe mean age was 59 years (range 36-81). A majority (61%, n = 35) underwent mastectomy and the rest (n = 19, 45%) breast conservation surgery (BCS). The mean QLQ-C30 score was 68.8 (range 8.3-100) and the mean scores for physical function, role function, emotional function, cognitive function, and social function were 71.4, 81.5, 77.0, 80.2, and 86.4, respectively. The mean scores for body image, sexual functioning, sexual enjoyment, future perspective, systemic therapy, breast symptoms, arm symptoms, and hair loss assessed by the QLQ-BR23 were 76.4, 18.3, 33.3, 73.6, 30.5, 16.2, 23.4 and 32.7, respectively. No significant differences (P > 0.05) were noted in global health status, physical function, role function, emotional function, cognitive function and social function between BCS and mastectomy. QLQ-BR23 body image, sexual functioning, sexual enjoyment and future perspective also did not differ significantly (p > 0.05) between the two groups.ConclusionsSexual functioning and enjoyment, breast and arm symptoms and hair loss contributed to poor QOL while the impact on global health status including physical, social and emotional functions were minimal. Type of surgery did not appear to be associated with QOL. Future studies with a larger sample sizes will be helpful to further study these factors.

Dataset Information

Post-stroke Quality of Life Index: A quality of life tool for stroke survivors from Sri Lanka.

Publications

Post-stroke Quality of Life Index: A quality of life tool for stroke survivors from Sri Lanka.

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