ArticleCureus2021
Predictors of Quality of Life Among People Living With Multimorbidity in Karachi, Pakistan: A Cross-Sectional Study.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
- Retraction · 2022-03-17Concerns/Issues about Authorship/Affiliation · Concerns/Issues about Data · False/Forged Authorship · Investigation by Journal/Publisher · Lack of IRB/IACUC Approval and/or Compliance · · Rahil Barkat named for data theft and forged authorship.
- Retracted
Authors and funding
8 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Multimorbidity is defined as the coexistence of more than one chronic condition in one individual. It is related to enhanced rates of disability and mortality, enhanced disease burden, decreased function levels, and it can affect the wellbeing and daily activities of people, including loss of autonomy and independence. The aim of the current study is to determine the predictors of quality of life among patients with multimorbidity in Karachi, Pakistan. Methodology It was a cross-sectional study conducted in 12 health care facilities of six districts in Karachi, Pakistan. Two health care facilities were selected from each district using a convenient sampling technique. The total sample size of this study was 690, equally distributed among 12 health care facilities. Results The majority of participants (33.47%) belonged to the age group of 40 to 49 years, while 29.85% of participants had an age between 30 to 39 years. More than half of the participants were females (50.87%). Overall, the multivariate analysis showed being male, married, younger, high educational status and employed were positively associated with quality of life. While having lower family income is negatively associated with quality of life. Conclusion The findings of this study had important implications for identifying distinct multimorbidity individuals who were at risk of a lower quality of life, and they emphasized the need for disease detection and treatment at an early stage. The study can also give important evidence for decision-makers when it comes to allocating health resources more efficiently, and health administrative departments can improve chronic disease management.
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Registered trials
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