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Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data

OBJECTIVE: This study aimed to investigate factors associated with patient experience with primary care in a large public health system in Mexico and determine the amount of variability in experience attributable to facility-level and state-level factors. METHODS: We analysed cross-sectional 2016 na...

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Autores principales: Holt, Kelsey, Doubova, Svetlana V, Lee, Dennis, Perez-Cuevas, Ricardo, Leslie, Hannah H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045193/
https://www.ncbi.nlm.nih.gov/pubmed/31941761
http://dx.doi.org/10.1136/bmjopen-2019-029818
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author Holt, Kelsey
Doubova, Svetlana V
Lee, Dennis
Perez-Cuevas, Ricardo
Leslie, Hannah H
author_facet Holt, Kelsey
Doubova, Svetlana V
Lee, Dennis
Perez-Cuevas, Ricardo
Leslie, Hannah H
author_sort Holt, Kelsey
collection PubMed
description OBJECTIVE: This study aimed to investigate factors associated with patient experience with primary care in a large public health system in Mexico and determine the amount of variability in experience attributable to facility-level and state-level factors. METHODS: We analysed cross-sectional 2016 national satisfaction survey data from the Mexican Social Security Institute (IMSS). Patient-level data were merged with facility-level data and information on poverty by state. We assessed general contextual effects and examined the relationship of patient, facility and state factors with four patient experience measures using random effects logistic regression. RESULTS: 25 745 patients’ responses from 319 facilities were analysed. The majority experienced good communication (78%), the opportunity to share health concerns (91%) and resolution of doubts (85%). 29% of visits were rated as excellent. Differences between facilities and states accounted for up to 12% and 6% of the variation in patient experience, respectively. Inclusion of facility-level contextual effects improved model predictions by 8%–12%; models with facility random effects and individual covariates correctly predicted 64%–71% of individual outcomes. In adjusted models, larger patient population was correlated with worse reported communication, less opportunity to share concerns and less resolution of doubts. Men reported more positive communication; older individuals reported more positive communication and experiences overall, but less opportunity to share concerns; and more educated individuals were less likely to report positive communication but more likely to report resolution of doubts and overall positive experiences. Preventive care visits were rated higher than curative visits for resolution of doubts, but lower for opportunity to share concerns, and specific conditions were associated with better or worse reported experiences in some cases. CONCLUSION: Quality improvement efforts at IMSS facilities might bolster individual experiences with primary care, given that up to 12% of the variation in experience was attributable to facility-level differences. The relationship between individual characteristics and experience ratings reinforces the importance of patients’ expectations of care and the potential for differential treatment by providers to impact experience.
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spelling pubmed-70451932020-03-09 Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data Holt, Kelsey Doubova, Svetlana V Lee, Dennis Perez-Cuevas, Ricardo Leslie, Hannah H BMJ Open Health Services Research OBJECTIVE: This study aimed to investigate factors associated with patient experience with primary care in a large public health system in Mexico and determine the amount of variability in experience attributable to facility-level and state-level factors. METHODS: We analysed cross-sectional 2016 national satisfaction survey data from the Mexican Social Security Institute (IMSS). Patient-level data were merged with facility-level data and information on poverty by state. We assessed general contextual effects and examined the relationship of patient, facility and state factors with four patient experience measures using random effects logistic regression. RESULTS: 25 745 patients’ responses from 319 facilities were analysed. The majority experienced good communication (78%), the opportunity to share health concerns (91%) and resolution of doubts (85%). 29% of visits were rated as excellent. Differences between facilities and states accounted for up to 12% and 6% of the variation in patient experience, respectively. Inclusion of facility-level contextual effects improved model predictions by 8%–12%; models with facility random effects and individual covariates correctly predicted 64%–71% of individual outcomes. In adjusted models, larger patient population was correlated with worse reported communication, less opportunity to share concerns and less resolution of doubts. Men reported more positive communication; older individuals reported more positive communication and experiences overall, but less opportunity to share concerns; and more educated individuals were less likely to report positive communication but more likely to report resolution of doubts and overall positive experiences. Preventive care visits were rated higher than curative visits for resolution of doubts, but lower for opportunity to share concerns, and specific conditions were associated with better or worse reported experiences in some cases. CONCLUSION: Quality improvement efforts at IMSS facilities might bolster individual experiences with primary care, given that up to 12% of the variation in experience was attributable to facility-level differences. The relationship between individual characteristics and experience ratings reinforces the importance of patients’ expectations of care and the potential for differential treatment by providers to impact experience. BMJ Publishing Group 2020-01-14 /pmc/articles/PMC7045193/ /pubmed/31941761 http://dx.doi.org/10.1136/bmjopen-2019-029818 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Services Research
Holt, Kelsey
Doubova, Svetlana V
Lee, Dennis
Perez-Cuevas, Ricardo
Leslie, Hannah H
Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title_full Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title_fullStr Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title_full_unstemmed Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title_short Factors associated with positive user experience with primary healthcare providers in Mexico: a multilevel modelling approach using national cross-sectional data
title_sort factors associated with positive user experience with primary healthcare providers in mexico: a multilevel modelling approach using national cross-sectional data
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045193/
https://www.ncbi.nlm.nih.gov/pubmed/31941761
http://dx.doi.org/10.1136/bmjopen-2019-029818
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