Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling
Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life...
Gespeichert in:
| Veröffentlicht in: | PloS one 2022-12, Vol.17 (12), p.e0278557 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 12 |
| container_start_page | e0278557 |
| container_title | PloS one |
| container_volume | 17 |
| creator | Ayele, Tadesse Awoke Shibru Fanta, Habtewold Mequanent Sisay, Malede Melese Yilma, Tesfahun Fentie, Melkitu Azale, Telake Belachew, Tariku Shitu, Kegnie Alamneh, Tesfa Sewunet |
| description | Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life and its determinants in patients with common chronic diseases, in Northwest Ethiopia during the COVID-19 pandemic.
A cross-sectional study was conducted among 1815 randomly selected chronic patients with common chronic diseases. A standardized WHOQOL BREF tool was used, and electronic data collection was employed with the kobo toolbox data collection server. Overall QoL and the domains of Health-Related Quality of life (HRQoL) were determined. Structural equation modelling was done to estimate independent variables' direct and indirect effects. Path coefficients with a 95% confidence interval were reported.
About one in third, (33.35%) and 11.43% of the study participants had co-morbid conditions and identified complications, respectively. The mean score of QoL was 56.3 ranging from 14.59 and 98.95. The environmental domain was the most affected domain of HRQoL with a mean score of 52.18. Age, psychological, and environmental domains of HRQoL had a direct positive effect on the overall QoL while the physical and social relationships domains had an indirect positive effect. On the other hand, the number of medications taken, the presence of comorbidity, and complications had a direct negative impact on overall QoL. Furthermore, both rural residency and the presence of complications had an indirect negative effect on overall QoL via the mediator variables of environmental and physical health, respectively.
The quality of life was compromised in chronic disease patients. During the COVID-19 pandemic, the environmental domain of HRQoL was the most affected. Several socio-demographic and clinical factors had an impact on QoL, either directly or indirectly. These findings highlighted the importance of paying special attention to rural residents, patients with complications, patients taking a higher number of medications, and patients with comorbidity. |
| doi_str_mv | 10.1371/journal.pone.0278557 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2747243106</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A729093622</galeid><doaj_id>oai_doaj_org_article_61d892f996724184b1d76be3d927b317</doaj_id><sourcerecordid>A729093622</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-e568225eb4740122a07d4b5739bb9d64a259abd4b6b0d65df7cfe28389cd86e73</originalsourceid><addsrcrecordid>eNqNk99u0zAUxiMEYqPwBggsISFx0RLbiR3vAqkqAypNVPzbreXETuMqiTvbYewleGZO12xqJZBQLhId_853Tj6fkyTPcTrDlOO3Gzf4XrWzrevNLCW8yHP-IDnFgpIpIyl9ePB9kjwJYZOmOS0Ye5ycUJZxIgQ_TX5_GVRr4w1yNWptbZDqXL9GWxWt6WNA1zY2KDYGVa6DE1Q13vW2QtoGo4JBevAW-MXqcvl-igUk9tp0ANgefXY-NtcmRHQeG-u2Vp2hOQrRD1UcvGqRuRqgDqh2Tpu2BaGnyaNatcE8G9-T5MeH8--LT9OL1cflYn4xrZggcWpyVhCSmzLjWYoJUSnXWZlzKspSaJYpkgtVQoiVqWa5rnlVG1LQQlS6YIbTSfJyr7ttXZCjlUESDr5kFKcMiOWe0E5t5NbbTvkb6ZSVtwHn11L5aKvWSIZ1IUgtBINkXGQl1pyVhmpBeEnxrtq7sdpQdkZX4Cz8_pHo8UlvG7l2P6XgJMfQ9yR5NQp4dzWAo_9oeaTWCrqyfe1ArOpsqOQcrjsVlBEC1OwvFDy39wbDVFuIHyW8OUoAJppfca2GEOTy29f_Z1eXx-zrA7Yxqo1NcO2wm4hwDGZ7sPIuBG_qe-dwKne7cOeG3O2CHHcB0l4cun6fdDf89A8ILAUz</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2747243106</pqid></control><display><type>article</type><title>Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Ayele, Tadesse Awoke ; Shibru Fanta, Habtewold ; Mequanent Sisay, Malede ; Melese Yilma, Tesfahun ; Fentie, Melkitu ; Azale, Telake ; Belachew, Tariku ; Shitu, Kegnie ; Alamneh, Tesfa Sewunet</creator><creatorcontrib>Ayele, Tadesse Awoke ; Shibru Fanta, Habtewold ; Mequanent Sisay, Malede ; Melese Yilma, Tesfahun ; Fentie, Melkitu ; Azale, Telake ; Belachew, Tariku ; Shitu, Kegnie ; Alamneh, Tesfa Sewunet</creatorcontrib><description>Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life and its determinants in patients with common chronic diseases, in Northwest Ethiopia during the COVID-19 pandemic.
A cross-sectional study was conducted among 1815 randomly selected chronic patients with common chronic diseases. A standardized WHOQOL BREF tool was used, and electronic data collection was employed with the kobo toolbox data collection server. Overall QoL and the domains of Health-Related Quality of life (HRQoL) were determined. Structural equation modelling was done to estimate independent variables' direct and indirect effects. Path coefficients with a 95% confidence interval were reported.
About one in third, (33.35%) and 11.43% of the study participants had co-morbid conditions and identified complications, respectively. The mean score of QoL was 56.3 ranging from 14.59 and 98.95. The environmental domain was the most affected domain of HRQoL with a mean score of 52.18. Age, psychological, and environmental domains of HRQoL had a direct positive effect on the overall QoL while the physical and social relationships domains had an indirect positive effect. On the other hand, the number of medications taken, the presence of comorbidity, and complications had a direct negative impact on overall QoL. Furthermore, both rural residency and the presence of complications had an indirect negative effect on overall QoL via the mediator variables of environmental and physical health, respectively.
The quality of life was compromised in chronic disease patients. During the COVID-19 pandemic, the environmental domain of HRQoL was the most affected. Several socio-demographic and clinical factors had an impact on QoL, either directly or indirectly. These findings highlighted the importance of paying special attention to rural residents, patients with complications, patients taking a higher number of medications, and patients with comorbidity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0278557</identifier><identifier>PMID: 36472997</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; AIDS ; Biology and Life Sciences ; Chronic Disease ; Chronic diseases ; Chronic illnesses ; Comorbidity ; Complications ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Cross-Sectional Studies ; Data collection ; Disease control ; Disease prevention ; Diseases ; Domains ; Epidemics ; Ethiopia ; Health aspects ; Humans ; Independent variables ; Influence ; Latent Class Analysis ; Medicine and Health Sciences ; Modelling ; Multivariate statistical analysis ; Pandemics ; Patient outcomes ; Patients ; People and Places ; Quality assessment ; Quality of Life ; Rural populations ; Social Sciences ; Structural equation modeling</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0278557</ispartof><rights>Copyright: © 2022 Ayele et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Ayele et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Ayele et al 2022 Ayele et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-e568225eb4740122a07d4b5739bb9d64a259abd4b6b0d65df7cfe28389cd86e73</citedby><cites>FETCH-LOGICAL-c692t-e568225eb4740122a07d4b5739bb9d64a259abd4b6b0d65df7cfe28389cd86e73</cites><orcidid>0000-0002-6676-2281 ; 0000-0002-4830-931X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725128/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725128/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36472997$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ayele, Tadesse Awoke</creatorcontrib><creatorcontrib>Shibru Fanta, Habtewold</creatorcontrib><creatorcontrib>Mequanent Sisay, Malede</creatorcontrib><creatorcontrib>Melese Yilma, Tesfahun</creatorcontrib><creatorcontrib>Fentie, Melkitu</creatorcontrib><creatorcontrib>Azale, Telake</creatorcontrib><creatorcontrib>Belachew, Tariku</creatorcontrib><creatorcontrib>Shitu, Kegnie</creatorcontrib><creatorcontrib>Alamneh, Tesfa Sewunet</creatorcontrib><title>Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life and its determinants in patients with common chronic diseases, in Northwest Ethiopia during the COVID-19 pandemic.
A cross-sectional study was conducted among 1815 randomly selected chronic patients with common chronic diseases. A standardized WHOQOL BREF tool was used, and electronic data collection was employed with the kobo toolbox data collection server. Overall QoL and the domains of Health-Related Quality of life (HRQoL) were determined. Structural equation modelling was done to estimate independent variables' direct and indirect effects. Path coefficients with a 95% confidence interval were reported.
About one in third, (33.35%) and 11.43% of the study participants had co-morbid conditions and identified complications, respectively. The mean score of QoL was 56.3 ranging from 14.59 and 98.95. The environmental domain was the most affected domain of HRQoL with a mean score of 52.18. Age, psychological, and environmental domains of HRQoL had a direct positive effect on the overall QoL while the physical and social relationships domains had an indirect positive effect. On the other hand, the number of medications taken, the presence of comorbidity, and complications had a direct negative impact on overall QoL. Furthermore, both rural residency and the presence of complications had an indirect negative effect on overall QoL via the mediator variables of environmental and physical health, respectively.
The quality of life was compromised in chronic disease patients. During the COVID-19 pandemic, the environmental domain of HRQoL was the most affected. Several socio-demographic and clinical factors had an impact on QoL, either directly or indirectly. These findings highlighted the importance of paying special attention to rural residents, patients with complications, patients taking a higher number of medications, and patients with comorbidity.</description><subject>Acquired immune deficiency syndrome</subject><subject>AIDS</subject><subject>Biology and Life Sciences</subject><subject>Chronic Disease</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Comorbidity</subject><subject>Complications</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Diseases</subject><subject>Domains</subject><subject>Epidemics</subject><subject>Ethiopia</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Independent variables</subject><subject>Influence</subject><subject>Latent Class Analysis</subject><subject>Medicine and Health Sciences</subject><subject>Modelling</subject><subject>Multivariate statistical analysis</subject><subject>Pandemics</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>People and Places</subject><subject>Quality assessment</subject><subject>Quality of Life</subject><subject>Rural populations</subject><subject>Social Sciences</subject><subject>Structural equation modeling</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99u0zAUxiMEYqPwBggsISFx0RLbiR3vAqkqAypNVPzbreXETuMqiTvbYewleGZO12xqJZBQLhId_853Tj6fkyTPcTrDlOO3Gzf4XrWzrevNLCW8yHP-IDnFgpIpIyl9ePB9kjwJYZOmOS0Ye5ycUJZxIgQ_TX5_GVRr4w1yNWptbZDqXL9GWxWt6WNA1zY2KDYGVa6DE1Q13vW2QtoGo4JBevAW-MXqcvl-igUk9tp0ANgefXY-NtcmRHQeG-u2Vp2hOQrRD1UcvGqRuRqgDqh2Tpu2BaGnyaNatcE8G9-T5MeH8--LT9OL1cflYn4xrZggcWpyVhCSmzLjWYoJUSnXWZlzKspSaJYpkgtVQoiVqWa5rnlVG1LQQlS6YIbTSfJyr7ttXZCjlUESDr5kFKcMiOWe0E5t5NbbTvkb6ZSVtwHn11L5aKvWSIZ1IUgtBINkXGQl1pyVhmpBeEnxrtq7sdpQdkZX4Cz8_pHo8UlvG7l2P6XgJMfQ9yR5NQp4dzWAo_9oeaTWCrqyfe1ArOpsqOQcrjsVlBEC1OwvFDy39wbDVFuIHyW8OUoAJppfca2GEOTy29f_Z1eXx-zrA7Yxqo1NcO2wm4hwDGZ7sPIuBG_qe-dwKne7cOeG3O2CHHcB0l4cun6fdDf89A8ILAUz</recordid><startdate>20221206</startdate><enddate>20221206</enddate><creator>Ayele, Tadesse Awoke</creator><creator>Shibru Fanta, Habtewold</creator><creator>Mequanent Sisay, Malede</creator><creator>Melese Yilma, Tesfahun</creator><creator>Fentie, Melkitu</creator><creator>Azale, Telake</creator><creator>Belachew, Tariku</creator><creator>Shitu, Kegnie</creator><creator>Alamneh, Tesfa Sewunet</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6676-2281</orcidid><orcidid>https://orcid.org/0000-0002-4830-931X</orcidid></search><sort><creationdate>20221206</creationdate><title>Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling</title><author>Ayele, Tadesse Awoke ; Shibru Fanta, Habtewold ; Mequanent Sisay, Malede ; Melese Yilma, Tesfahun ; Fentie, Melkitu ; Azale, Telake ; Belachew, Tariku ; Shitu, Kegnie ; Alamneh, Tesfa Sewunet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-e568225eb4740122a07d4b5739bb9d64a259abd4b6b0d65df7cfe28389cd86e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>AIDS</topic><topic>Biology and Life Sciences</topic><topic>Chronic Disease</topic><topic>Chronic diseases</topic><topic>Chronic illnesses</topic><topic>Comorbidity</topic><topic>Complications</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Data collection</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Diseases</topic><topic>Domains</topic><topic>Epidemics</topic><topic>Ethiopia</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Independent variables</topic><topic>Influence</topic><topic>Latent Class Analysis</topic><topic>Medicine and Health Sciences</topic><topic>Modelling</topic><topic>Multivariate statistical analysis</topic><topic>Pandemics</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>People and Places</topic><topic>Quality assessment</topic><topic>Quality of Life</topic><topic>Rural populations</topic><topic>Social Sciences</topic><topic>Structural equation modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ayele, Tadesse Awoke</creatorcontrib><creatorcontrib>Shibru Fanta, Habtewold</creatorcontrib><creatorcontrib>Mequanent Sisay, Malede</creatorcontrib><creatorcontrib>Melese Yilma, Tesfahun</creatorcontrib><creatorcontrib>Fentie, Melkitu</creatorcontrib><creatorcontrib>Azale, Telake</creatorcontrib><creatorcontrib>Belachew, Tariku</creatorcontrib><creatorcontrib>Shitu, Kegnie</creatorcontrib><creatorcontrib>Alamneh, Tesfa Sewunet</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ayele, Tadesse Awoke</au><au>Shibru Fanta, Habtewold</au><au>Mequanent Sisay, Malede</au><au>Melese Yilma, Tesfahun</au><au>Fentie, Melkitu</au><au>Azale, Telake</au><au>Belachew, Tariku</au><au>Shitu, Kegnie</au><au>Alamneh, Tesfa Sewunet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-12-06</date><risdate>2022</risdate><volume>17</volume><issue>12</issue><spage>e0278557</spage><pages>e0278557-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life and its determinants in patients with common chronic diseases, in Northwest Ethiopia during the COVID-19 pandemic.
A cross-sectional study was conducted among 1815 randomly selected chronic patients with common chronic diseases. A standardized WHOQOL BREF tool was used, and electronic data collection was employed with the kobo toolbox data collection server. Overall QoL and the domains of Health-Related Quality of life (HRQoL) were determined. Structural equation modelling was done to estimate independent variables' direct and indirect effects. Path coefficients with a 95% confidence interval were reported.
About one in third, (33.35%) and 11.43% of the study participants had co-morbid conditions and identified complications, respectively. The mean score of QoL was 56.3 ranging from 14.59 and 98.95. The environmental domain was the most affected domain of HRQoL with a mean score of 52.18. Age, psychological, and environmental domains of HRQoL had a direct positive effect on the overall QoL while the physical and social relationships domains had an indirect positive effect. On the other hand, the number of medications taken, the presence of comorbidity, and complications had a direct negative impact on overall QoL. Furthermore, both rural residency and the presence of complications had an indirect negative effect on overall QoL via the mediator variables of environmental and physical health, respectively.
The quality of life was compromised in chronic disease patients. During the COVID-19 pandemic, the environmental domain of HRQoL was the most affected. Several socio-demographic and clinical factors had an impact on QoL, either directly or indirectly. These findings highlighted the importance of paying special attention to rural residents, patients with complications, patients taking a higher number of medications, and patients with comorbidity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36472997</pmid><doi>10.1371/journal.pone.0278557</doi><tpages>e0278557</tpages><orcidid>https://orcid.org/0000-0002-6676-2281</orcidid><orcidid>https://orcid.org/0000-0002-4830-931X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2022-12, Vol.17 (12), p.e0278557 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2747243106 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Acquired immune deficiency syndrome AIDS Biology and Life Sciences Chronic Disease Chronic diseases Chronic illnesses Comorbidity Complications Coronaviruses COVID-19 COVID-19 - epidemiology Cross-Sectional Studies Data collection Disease control Disease prevention Diseases Domains Epidemics Ethiopia Health aspects Humans Independent variables Influence Latent Class Analysis Medicine and Health Sciences Modelling Multivariate statistical analysis Pandemics Patient outcomes Patients People and Places Quality assessment Quality of Life Rural populations Social Sciences Structural equation modeling |
| title | Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T02%3A02%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Quality%20of%20life%20among%20patients%20with%20the%20common%20chronic%20disease%20during%20COVID-19%20pandemic%20in%20Northwest%20Ethiopia:%20A%20structural%20equation%20modelling&rft.jtitle=PloS%20one&rft.au=Ayele,%20Tadesse%20Awoke&rft.date=2022-12-06&rft.volume=17&rft.issue=12&rft.spage=e0278557&rft.pages=e0278557-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0278557&rft_dat=%3Cgale_plos_%3EA729093622%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2747243106&rft_id=info:pmid/36472997&rft_galeid=A729093622&rft_doaj_id=oai_doaj_org_article_61d892f996724184b1d76be3d927b317&rfr_iscdi=true |