Cargando…
Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach
OBJECTIVES: This study investigated the level and associated factors, focusing on the number of individuals with chronic conditions, of out-of-pocket healthcare expenditures (OOPHE). DESIGN: A cross-sectional study was conducted from January 2021 to June 2021. SETTING: Riyadh Province, Saudi Arabia....
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528624/ https://www.ncbi.nlm.nih.gov/pubmed/36171033 http://dx.doi.org/10.1136/bmjopen-2022-066145 |
_version_ | 1784801340166242304 |
---|---|
author | Almalki, Ziyad S Alahmari, Abdullah K Alshehri, Ahmed M Altowaijri, Abdulaziz Alluhidan, Mohammed Ahmed, Nehad AlAbdulsalam, Abdulhakim S Alsaiari, Khalid H Alrashidi, Meshari A Alghusn, Abdulrahman G Alqahtani, Ali S Alzarea, Abdulaziz I Alanazi, Mona A Alqahtani, Abdulhadi M |
author_facet | Almalki, Ziyad S Alahmari, Abdullah K Alshehri, Ahmed M Altowaijri, Abdulaziz Alluhidan, Mohammed Ahmed, Nehad AlAbdulsalam, Abdulhakim S Alsaiari, Khalid H Alrashidi, Meshari A Alghusn, Abdulrahman G Alqahtani, Ali S Alzarea, Abdulaziz I Alanazi, Mona A Alqahtani, Abdulhadi M |
author_sort | Almalki, Ziyad S |
collection | PubMed |
description | OBJECTIVES: This study investigated the level and associated factors, focusing on the number of individuals with chronic conditions, of out-of-pocket healthcare expenditures (OOPHE). DESIGN: A cross-sectional study was conducted from January 2021 to June 2021. SETTING: Riyadh Province, Saudi Arabia. PARTICIPANTS: A total of 1176 households that used any healthcare services at least once in the past 3 months. OUTCOME MEASURES: The OOPHE incurred in the previous 3-month period when a household member is receiving health services. The effects of predisposing, enabling and need factors on the level of OOPHE. The association between the number of individuals with chronic conditions in a household and OOPHE along with the OOPHE distribution. RESULTS: The average household OOPHE among all the surveyed households (n=1176) was SAR1775.30. For households affected by one chronic condition, OOPHE was SAR1806, and for households affected by more than one chronic condition, OOPHE was SAR2704. If the head of the household was older, better educated and employed, they were more vulnerable to a higher OOPHE (p<0.0001). At the household level, the increased number of family members with chronic conditions, the presence of a member less than 14 years old, higher socioeconomic status, coverage from health insurance plans, residence in an urban area and the presence of a member with a disability in the household were correlated with a considerably greater level of OOPHE (p<0.0001). The result of quantile regression analysis indicates that an increase in the number of members with chronic conditions in a household was significantly associated with greater overall OOPHE at higher health expenditure quantiles. CONCLUSIONS: The burden of OOPHE on households with chronic conditions remains heavy, and some disparities still exist. The number of individuals with chronic conditions in a household plays a substantial and prominent role in increasing the risk of incurring OOPHE. |
format | Online Article Text |
id | pubmed-9528624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-95286242022-10-04 Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach Almalki, Ziyad S Alahmari, Abdullah K Alshehri, Ahmed M Altowaijri, Abdulaziz Alluhidan, Mohammed Ahmed, Nehad AlAbdulsalam, Abdulhakim S Alsaiari, Khalid H Alrashidi, Meshari A Alghusn, Abdulrahman G Alqahtani, Ali S Alzarea, Abdulaziz I Alanazi, Mona A Alqahtani, Abdulhadi M BMJ Open Health Economics OBJECTIVES: This study investigated the level and associated factors, focusing on the number of individuals with chronic conditions, of out-of-pocket healthcare expenditures (OOPHE). DESIGN: A cross-sectional study was conducted from January 2021 to June 2021. SETTING: Riyadh Province, Saudi Arabia. PARTICIPANTS: A total of 1176 households that used any healthcare services at least once in the past 3 months. OUTCOME MEASURES: The OOPHE incurred in the previous 3-month period when a household member is receiving health services. The effects of predisposing, enabling and need factors on the level of OOPHE. The association between the number of individuals with chronic conditions in a household and OOPHE along with the OOPHE distribution. RESULTS: The average household OOPHE among all the surveyed households (n=1176) was SAR1775.30. For households affected by one chronic condition, OOPHE was SAR1806, and for households affected by more than one chronic condition, OOPHE was SAR2704. If the head of the household was older, better educated and employed, they were more vulnerable to a higher OOPHE (p<0.0001). At the household level, the increased number of family members with chronic conditions, the presence of a member less than 14 years old, higher socioeconomic status, coverage from health insurance plans, residence in an urban area and the presence of a member with a disability in the household were correlated with a considerably greater level of OOPHE (p<0.0001). The result of quantile regression analysis indicates that an increase in the number of members with chronic conditions in a household was significantly associated with greater overall OOPHE at higher health expenditure quantiles. CONCLUSIONS: The burden of OOPHE on households with chronic conditions remains heavy, and some disparities still exist. The number of individuals with chronic conditions in a household plays a substantial and prominent role in increasing the risk of incurring OOPHE. BMJ Publishing Group 2022-09-28 /pmc/articles/PMC9528624/ /pubmed/36171033 http://dx.doi.org/10.1136/bmjopen-2022-066145 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Economics Almalki, Ziyad S Alahmari, Abdullah K Alshehri, Ahmed M Altowaijri, Abdulaziz Alluhidan, Mohammed Ahmed, Nehad AlAbdulsalam, Abdulhakim S Alsaiari, Khalid H Alrashidi, Meshari A Alghusn, Abdulrahman G Alqahtani, Ali S Alzarea, Abdulaziz I Alanazi, Mona A Alqahtani, Abdulhadi M Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title | Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title_full | Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title_fullStr | Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title_full_unstemmed | Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title_short | Investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in Riyadh, Saudi Arabia: a cross-sectional study using quantile regression approach |
title_sort | investigating households’ out-of-pocket healthcare expenditures based on number of chronic conditions in riyadh, saudi arabia: a cross-sectional study using quantile regression approach |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528624/ https://www.ncbi.nlm.nih.gov/pubmed/36171033 http://dx.doi.org/10.1136/bmjopen-2022-066145 |
work_keys_str_mv | AT almalkiziyads investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alahmariabdullahk investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alshehriahmedm investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT altowaijriabdulaziz investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alluhidanmohammed investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT ahmednehad investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alabdulsalamabdulhakims investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alsaiarikhalidh investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alrashidimesharia investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alghusnabdulrahmang investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alqahtanialis investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alzareaabdulazizi investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alanazimonaa investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach AT alqahtaniabdulhadim investigatinghouseholdsoutofpockethealthcareexpendituresbasedonnumberofchronicconditionsinriyadhsaudiarabiaacrosssectionalstudyusingquantileregressionapproach |