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Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran

Background: Hospital services are the most expensive medical service in modern health care systems. Intense care beds, in particular, are more important. The present study was conducted to design and validate a measuring tool for the factors affecting the distribution of hospitals' intensive ca...

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Autores principales: Farrokhyar, Nahid, Alimohammadzadeh, Khalil, Maher, Ali, Hosseini, Seyed Mojtaba, Bahadori, Mohammadkarim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825370/
https://www.ncbi.nlm.nih.gov/pubmed/31696073
http://dx.doi.org/10.34171/mjiri.33.79
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author Farrokhyar, Nahid
Alimohammadzadeh, Khalil
Maher, Ali
Hosseini, Seyed Mojtaba
Bahadori, Mohammadkarim
author_facet Farrokhyar, Nahid
Alimohammadzadeh, Khalil
Maher, Ali
Hosseini, Seyed Mojtaba
Bahadori, Mohammadkarim
author_sort Farrokhyar, Nahid
collection PubMed
description Background: Hospital services are the most expensive medical service in modern health care systems. Intense care beds, in particular, are more important. The present study was conducted to design and validate a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran. Methods: In this mixed method study, first, all known factors affecting the distribution of hospitals' intensive care beds were extracted by reviewing related literature. Then, all 60 confirmed items were categorized into different dimensions. Face validity and content validity of the questionnaire was done by 20 medical experts through qualitative and quantitative methods. Validity and reliability indices, content validity index (CVI), content validity ratio (CVR), and Cronbach's alpha were measured. SPSS software were used for data analysis and significance level was set at less than .05. Results: From the 60 suggested items, 34 were confirmed by the expert panels and all items had CVR and CVI scores higher than 0.83 and 0.81, respectively. CVR and CVI for all 34 items were 0.88 and 0.89, respectively. Also, Cronbach's alpha coefficient (0.75) indicated a suitable internal consistency. The value of S-CVI / Ave was also calculated to be 0.92. Conclusion: In this study, a valid tool was designed to identify the factors affecting the distribution of hospitals' intensive care beds. This tool consists of 6 dimensions: demographic, geographic, economic, sociopolitical, organizational, and constructional.
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spelling pubmed-68253702019-11-06 Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran Farrokhyar, Nahid Alimohammadzadeh, Khalil Maher, Ali Hosseini, Seyed Mojtaba Bahadori, Mohammadkarim Med J Islam Repub Iran Original Article Background: Hospital services are the most expensive medical service in modern health care systems. Intense care beds, in particular, are more important. The present study was conducted to design and validate a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran. Methods: In this mixed method study, first, all known factors affecting the distribution of hospitals' intensive care beds were extracted by reviewing related literature. Then, all 60 confirmed items were categorized into different dimensions. Face validity and content validity of the questionnaire was done by 20 medical experts through qualitative and quantitative methods. Validity and reliability indices, content validity index (CVI), content validity ratio (CVR), and Cronbach's alpha were measured. SPSS software were used for data analysis and significance level was set at less than .05. Results: From the 60 suggested items, 34 were confirmed by the expert panels and all items had CVR and CVI scores higher than 0.83 and 0.81, respectively. CVR and CVI for all 34 items were 0.88 and 0.89, respectively. Also, Cronbach's alpha coefficient (0.75) indicated a suitable internal consistency. The value of S-CVI / Ave was also calculated to be 0.92. Conclusion: In this study, a valid tool was designed to identify the factors affecting the distribution of hospitals' intensive care beds. This tool consists of 6 dimensions: demographic, geographic, economic, sociopolitical, organizational, and constructional. Iran University of Medical Sciences 2019-08-05 /pmc/articles/PMC6825370/ /pubmed/31696073 http://dx.doi.org/10.34171/mjiri.33.79 Text en © 2019 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc-sa/1.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Farrokhyar, Nahid
Alimohammadzadeh, Khalil
Maher, Ali
Hosseini, Seyed Mojtaba
Bahadori, Mohammadkarim
Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title_full Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title_fullStr Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title_full_unstemmed Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title_short Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran
title_sort designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825370/
https://www.ncbi.nlm.nih.gov/pubmed/31696073
http://dx.doi.org/10.34171/mjiri.33.79
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