Multimorbidity and health-related quality of life among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia: The application of partial proportional odds model.

<h4>Background</h4>Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of people's lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare should supp...

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Main Authors: Fantu Abebe Eyowas (Author), Marguerite Schneider (Author), Shitaye Alemu Balcha (Author), Sanghamitra Pati (Author), Fentie Ambaw Getahun (Author)
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Published: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Fantu Abebe Eyowas  |e author 
700 1 0 |a Marguerite Schneider  |e author 
700 1 0 |a Shitaye Alemu Balcha  |e author 
700 1 0 |a Sanghamitra Pati  |e author 
700 1 0 |a Fentie Ambaw Getahun  |e author 
245 0 0 |a Multimorbidity and health-related quality of life among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia: The application of partial proportional odds model. 
260 |b Public Library of Science (PLoS),   |c 2022-01-01T00:00:00Z. 
500 |a 2767-3375 
500 |a 10.1371/journal.pgph.0001176 
520 |a <h4>Background</h4>Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of people's lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare should support multimorbid individuals to achieve a better quality of life, little is known about the effect of multimorbidity on the QoL of patients living with chronic conditions. This study aimed to determine the influence of multimorbidity on QoL among clients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia.<h4>Methodology</h4>A multi-centered facility-based study was conducted among 1440 participants aged 40+ years. Two complementary methods were employed to collect sociodemographic and disease related data. We used the short form (SF-12 V2) instrument to measure quality of life (QoL). The data were analyzed by STATA V.16, and a multivariate partial proportional odds model was fitted to identify covariates associated with quality of life. Statistical significance was considered at p-value <0.05.<h4>Principal findings</h4>Multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor QoL and a quarter (25.8%) of them had moderate QoL. Advanced age, obesity and living with multimorbidity were the factors associated with poor QoL. Conversely, perceived social support and satisfaction with care were the variables positively associated with better QoL.<h4>Conclusion</h4>The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poorer QoL than those without multimorbidity. Care of people with chronic multiple conditions has to be oriented to the realities of multimorbidity burden and its implication on QoL. It is also imperative to replicate the methods we employed to measure and analyze QoL data in this study for facilitating comparison and further development of the approaches. 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n PLOS Global Public Health, Vol 2, Iss 11, p e0001176 (2022) 
787 0 |n https://doi.org/10.1371/journal.pgph.0001176 
787 0 |n https://doaj.org/toc/2767-3375 
856 4 1 |u https://doaj.org/article/1c78af2bc9d843d58a3015f217de96f8  |z Connect to this object online.