Cargando…
The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study
BACKGROUND: Health services in many countries are promoting digital-first models of access to general practice based on offering online, video, or telephone consultations before a face-to-face consultation. It is claimed that this will improve access for patients and moderate the workload of doctors...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327596/ https://www.ncbi.nlm.nih.gov/pubmed/32543441 http://dx.doi.org/10.2196/18203 |
_version_ | 1783552577232699392 |
---|---|
author | Salisbury, Chris Murphy, Mairead Duncan, Polly |
author_facet | Salisbury, Chris Murphy, Mairead Duncan, Polly |
author_sort | Salisbury, Chris |
collection | PubMed |
description | BACKGROUND: Health services in many countries are promoting digital-first models of access to general practice based on offering online, video, or telephone consultations before a face-to-face consultation. It is claimed that this will improve access for patients and moderate the workload of doctors. However, improved access could also potentially increase doctors’ workload. OBJECTIVE: The aim of this study was to explore whether and under what circumstances digital-first access to general practice is likely to decrease or increase general practice workload. METHODS: A process map to delineate primary care access pathways was developed and a model to estimate general practice workload constructed in Microsoft Excel (Microsoft Corp). The model was populated using estimates of key variables obtained from a systematic review of published studies. A MEDLINE search was conducted for studies published in English between January 1, 2000, and September 30, 2019. Included papers provided quantitative data about online, telephone, or video consultations for unselected patients requesting a general practice in-hours consultation for any problem. We excluded studies of general practitioners consulting specialists, consultations not conducted by doctors, and consultations conducted after hours, in secondary care, in specialist services, or for a specific health care problem. Data about the following variables were extracted from the included papers to form the model inputs: the proportion of consultations managed digitally, the proportion of digital consultations completed without a subsequent consultation, the proportion of subsequent consultations conducted by telephone rather than face-to-face, consultation duration, and the proportion of digital consultations that represent new demand. The outcome was general practice workload. The model was used to test the likely impact of different digital-first scenarios, based on the best available evidence and the plausible range of estimates from the published studies. The model allows others to test the impact on workload of varying assumptions about model inputs. RESULTS: Digital-first approaches are likely to increase general practice workload unless they are shorter, and a higher proportion of patients are managed without a subsequent consultation than observed in most published studies. In our base-case scenarios (based on the best available evidence), digital-first access models using online, telephone, or video consultations are likely to increase general practitioner workload by 25%, 3%, and 31%, respectively. An important determinant of workload is whether the availability of digital-first approaches changes the demand for general practice consultations, but there is little robust evidence to answer this question. CONCLUSIONS: Digital-first approaches to primary care could increase general practice workload unless stringent conditions are met. Justification for these approaches should be based on evidence about the benefits in relation to the costs, rather than assumptions about reductions in workload. Given the potential increase in workload, which in due course could worsen problems of access, these initiatives should be implemented in a staged way alongside careful evaluation. |
format | Online Article Text |
id | pubmed-7327596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73275962020-07-06 The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study Salisbury, Chris Murphy, Mairead Duncan, Polly J Med Internet Res Original Paper BACKGROUND: Health services in many countries are promoting digital-first models of access to general practice based on offering online, video, or telephone consultations before a face-to-face consultation. It is claimed that this will improve access for patients and moderate the workload of doctors. However, improved access could also potentially increase doctors’ workload. OBJECTIVE: The aim of this study was to explore whether and under what circumstances digital-first access to general practice is likely to decrease or increase general practice workload. METHODS: A process map to delineate primary care access pathways was developed and a model to estimate general practice workload constructed in Microsoft Excel (Microsoft Corp). The model was populated using estimates of key variables obtained from a systematic review of published studies. A MEDLINE search was conducted for studies published in English between January 1, 2000, and September 30, 2019. Included papers provided quantitative data about online, telephone, or video consultations for unselected patients requesting a general practice in-hours consultation for any problem. We excluded studies of general practitioners consulting specialists, consultations not conducted by doctors, and consultations conducted after hours, in secondary care, in specialist services, or for a specific health care problem. Data about the following variables were extracted from the included papers to form the model inputs: the proportion of consultations managed digitally, the proportion of digital consultations completed without a subsequent consultation, the proportion of subsequent consultations conducted by telephone rather than face-to-face, consultation duration, and the proportion of digital consultations that represent new demand. The outcome was general practice workload. The model was used to test the likely impact of different digital-first scenarios, based on the best available evidence and the plausible range of estimates from the published studies. The model allows others to test the impact on workload of varying assumptions about model inputs. RESULTS: Digital-first approaches are likely to increase general practice workload unless they are shorter, and a higher proportion of patients are managed without a subsequent consultation than observed in most published studies. In our base-case scenarios (based on the best available evidence), digital-first access models using online, telephone, or video consultations are likely to increase general practitioner workload by 25%, 3%, and 31%, respectively. An important determinant of workload is whether the availability of digital-first approaches changes the demand for general practice consultations, but there is little robust evidence to answer this question. CONCLUSIONS: Digital-first approaches to primary care could increase general practice workload unless stringent conditions are met. Justification for these approaches should be based on evidence about the benefits in relation to the costs, rather than assumptions about reductions in workload. Given the potential increase in workload, which in due course could worsen problems of access, these initiatives should be implemented in a staged way alongside careful evaluation. JMIR Publications 2020-06-16 /pmc/articles/PMC7327596/ /pubmed/32543441 http://dx.doi.org/10.2196/18203 Text en ©Chris Salisbury, Mairead Murphy, Polly Duncan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.06.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Salisbury, Chris Murphy, Mairead Duncan, Polly The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title | The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title_full | The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title_fullStr | The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title_full_unstemmed | The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title_short | The Impact of Digital-First Consultations on Workload in General Practice: Modeling Study |
title_sort | impact of digital-first consultations on workload in general practice: modeling study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327596/ https://www.ncbi.nlm.nih.gov/pubmed/32543441 http://dx.doi.org/10.2196/18203 |
work_keys_str_mv | AT salisburychris theimpactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy AT murphymairead theimpactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy AT duncanpolly theimpactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy AT salisburychris impactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy AT murphymairead impactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy AT duncanpolly impactofdigitalfirstconsultationsonworkloadingeneralpracticemodelingstudy |