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Telehealth to support referral management in a universal health system: a before-and-after study
BACKGROUND: Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467186/ https://www.ncbi.nlm.nih.gov/pubmed/34563176 http://dx.doi.org/10.1186/s12913-021-07028-5 |
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author | Gadenz, Sabrina Dalbosco Basso, Josué de Oliviera, Patrícia Roberta Berithe Pedrosa Sperling, Stephan Zuanazzi, Marcus Vinicius Dutra Oliveira, Gabriel Gausmann da Silva, Ivonice Martins Motta, Raphael Mendes Gehres, Luana Gonçalves de Brito Mallmann, Érica Rodrigues, Átila Szczecinski Pachito, Daniela V de Faria Leao, Beatriz |
author_facet | Gadenz, Sabrina Dalbosco Basso, Josué de Oliviera, Patrícia Roberta Berithe Pedrosa Sperling, Stephan Zuanazzi, Marcus Vinicius Dutra Oliveira, Gabriel Gausmann da Silva, Ivonice Martins Motta, Raphael Mendes Gehres, Luana Gonçalves de Brito Mallmann, Érica Rodrigues, Átila Szczecinski Pachito, Daniela V de Faria Leao, Beatriz |
author_sort | Gadenz, Sabrina Dalbosco |
collection | PubMed |
description | BACKGROUND: Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and to promote coordination of care. The objective of this study was to assess the impact of telehealth strategies on waiting lists and waiting times for specialized care in Brazil. METHODS: Before-and-after study with measures obtained between January 2019 and February 2020. Baseline measurements of waiting lists were obtained immediately before the implementation of a remotely operated referral management system. Post-interventional measurements were obtained monthly, up to six months after the beginning of operation. Data was extracted from the database of the project. General linear models were applied to assess interaction of locality and time over number of cases on waiting lists and waiting times. RESULTS: At baseline, the median number of cases on waiting lists ranged from 2961 to 12,305 cases. Reductions of the number of cases on waiting lists after six months of operation were observed in all localities. The magnitude of the reduction ranged from 54.67 to 88.97 %. Interaction of time measurements was statistically significant from the second month onward. Median waiting times ranged from 159 to 241 days at baseline. After six months, there was a decrease of 100 and 114 waiting days in two localities, respectively, with reduction of waiting times only for high-risk cases in the third locality. CONCLUSIONS: Adoption of telehealth strategies resulted in the reduction of number of cases on waiting lists. Results were consistent across localities, suggesting that telehealth interventions are viable in diverse settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07028-5. |
format | Online Article Text |
id | pubmed-8467186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84671862021-09-28 Telehealth to support referral management in a universal health system: a before-and-after study Gadenz, Sabrina Dalbosco Basso, Josué de Oliviera, Patrícia Roberta Berithe Pedrosa Sperling, Stephan Zuanazzi, Marcus Vinicius Dutra Oliveira, Gabriel Gausmann da Silva, Ivonice Martins Motta, Raphael Mendes Gehres, Luana Gonçalves de Brito Mallmann, Érica Rodrigues, Átila Szczecinski Pachito, Daniela V de Faria Leao, Beatriz BMC Health Serv Res Research BACKGROUND: Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and to promote coordination of care. The objective of this study was to assess the impact of telehealth strategies on waiting lists and waiting times for specialized care in Brazil. METHODS: Before-and-after study with measures obtained between January 2019 and February 2020. Baseline measurements of waiting lists were obtained immediately before the implementation of a remotely operated referral management system. Post-interventional measurements were obtained monthly, up to six months after the beginning of operation. Data was extracted from the database of the project. General linear models were applied to assess interaction of locality and time over number of cases on waiting lists and waiting times. RESULTS: At baseline, the median number of cases on waiting lists ranged from 2961 to 12,305 cases. Reductions of the number of cases on waiting lists after six months of operation were observed in all localities. The magnitude of the reduction ranged from 54.67 to 88.97 %. Interaction of time measurements was statistically significant from the second month onward. Median waiting times ranged from 159 to 241 days at baseline. After six months, there was a decrease of 100 and 114 waiting days in two localities, respectively, with reduction of waiting times only for high-risk cases in the third locality. CONCLUSIONS: Adoption of telehealth strategies resulted in the reduction of number of cases on waiting lists. Results were consistent across localities, suggesting that telehealth interventions are viable in diverse settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07028-5. BioMed Central 2021-09-25 /pmc/articles/PMC8467186/ /pubmed/34563176 http://dx.doi.org/10.1186/s12913-021-07028-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gadenz, Sabrina Dalbosco Basso, Josué de Oliviera, Patrícia Roberta Berithe Pedrosa Sperling, Stephan Zuanazzi, Marcus Vinicius Dutra Oliveira, Gabriel Gausmann da Silva, Ivonice Martins Motta, Raphael Mendes Gehres, Luana Gonçalves de Brito Mallmann, Érica Rodrigues, Átila Szczecinski Pachito, Daniela V de Faria Leao, Beatriz Telehealth to support referral management in a universal health system: a before-and-after study |
title | Telehealth to support referral management in a universal health system: a before-and-after study |
title_full | Telehealth to support referral management in a universal health system: a before-and-after study |
title_fullStr | Telehealth to support referral management in a universal health system: a before-and-after study |
title_full_unstemmed | Telehealth to support referral management in a universal health system: a before-and-after study |
title_short | Telehealth to support referral management in a universal health system: a before-and-after study |
title_sort | telehealth to support referral management in a universal health system: a before-and-after study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467186/ https://www.ncbi.nlm.nih.gov/pubmed/34563176 http://dx.doi.org/10.1186/s12913-021-07028-5 |
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