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Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis

BACKGROUND: Health systems, globally, are attempting to strengthen primary care to promote a population-health management approach to care provision, incentivising prevention and self-management. This paper evaluates the "Enhanced Primary Care" model implemented in a geographical region in...

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Autores principales: Shah, Vishalie, Stokes, Jonathan, Sutton, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704561/
https://www.ncbi.nlm.nih.gov/pubmed/31438937
http://dx.doi.org/10.1186/s12913-019-4367-8
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author Shah, Vishalie
Stokes, Jonathan
Sutton, Matt
author_facet Shah, Vishalie
Stokes, Jonathan
Sutton, Matt
author_sort Shah, Vishalie
collection PubMed
description BACKGROUND: Health systems, globally, are attempting to strengthen primary care to promote a population-health management approach to care provision, incentivising prevention and self-management. This paper evaluates the "Enhanced Primary Care" model implemented in a geographical region in England. Enhanced Primary Care introduces a new non-medical role, health coaches, to the traditional primary care team to provide additional support for patients with chronic conditions. We evaluate effects of health coaching on patient outcomes using a quasi-experiment. METHODS: We estimate the programme’s effects on health status (EQ-5D-5L, physical functioning, psychological wellbeing, and resilience), health behaviour (smoking habit), experience of care (person-centeredness and continuity of care), and health care (primary care) utilisation using data from 3.5 million respondents to the national GP Patient Surveys between 2013 and 2017. We use a weighted difference-in-differences design to compare changes in outcomes over time between intervention practices and comparable control practices in the rest of England. We conduct our main analysis on multimorbid patients and additional analysis on all patients to assess population-level effects. RESULTS: For multimorbid patients, we find reductions in psychological wellbeing (short and medium term) of −0.0174 (95% confidence interval −0.0283 to −0.0065), relative difference −2% from the pre-intervention mean; and person-centeredness (short term) of −0.0356 (−0.0530 to −0.0183), −4%. We find no significant effects on other outcome measures. For population-level effects, in the short term we find reductions in primary care utilisation of −0.0331 (−0.0448 to −0.0214), −5%. All other outcomes are not consistently statistically significant. CONCLUSIONS: Our results show that there is very little effect of health coaching on patient experience and outcomes in the short-to-medium term (up to 14 months). Introduction of Enhanced Primary Care was associated with slightly lower psychological wellbeing and person-centeredness amongst multimorbid patients (it might be initially difficult for patients to adjust to the model). However, it was also associated with a decline in primary care visits at the population-level (potentially freeing up practitioner time for more complex patients). The results raise important questions regarding primary care workforce changes advocated in the NHS Long Term Plan, and the time horizon of any benefits of prevention strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4367-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-67045612019-08-22 Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis Shah, Vishalie Stokes, Jonathan Sutton, Matt BMC Health Serv Res Research Article BACKGROUND: Health systems, globally, are attempting to strengthen primary care to promote a population-health management approach to care provision, incentivising prevention and self-management. This paper evaluates the "Enhanced Primary Care" model implemented in a geographical region in England. Enhanced Primary Care introduces a new non-medical role, health coaches, to the traditional primary care team to provide additional support for patients with chronic conditions. We evaluate effects of health coaching on patient outcomes using a quasi-experiment. METHODS: We estimate the programme’s effects on health status (EQ-5D-5L, physical functioning, psychological wellbeing, and resilience), health behaviour (smoking habit), experience of care (person-centeredness and continuity of care), and health care (primary care) utilisation using data from 3.5 million respondents to the national GP Patient Surveys between 2013 and 2017. We use a weighted difference-in-differences design to compare changes in outcomes over time between intervention practices and comparable control practices in the rest of England. We conduct our main analysis on multimorbid patients and additional analysis on all patients to assess population-level effects. RESULTS: For multimorbid patients, we find reductions in psychological wellbeing (short and medium term) of −0.0174 (95% confidence interval −0.0283 to −0.0065), relative difference −2% from the pre-intervention mean; and person-centeredness (short term) of −0.0356 (−0.0530 to −0.0183), −4%. We find no significant effects on other outcome measures. For population-level effects, in the short term we find reductions in primary care utilisation of −0.0331 (−0.0448 to −0.0214), −5%. All other outcomes are not consistently statistically significant. CONCLUSIONS: Our results show that there is very little effect of health coaching on patient experience and outcomes in the short-to-medium term (up to 14 months). Introduction of Enhanced Primary Care was associated with slightly lower psychological wellbeing and person-centeredness amongst multimorbid patients (it might be initially difficult for patients to adjust to the model). However, it was also associated with a decline in primary care visits at the population-level (potentially freeing up practitioner time for more complex patients). The results raise important questions regarding primary care workforce changes advocated in the NHS Long Term Plan, and the time horizon of any benefits of prevention strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4367-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-22 /pmc/articles/PMC6704561/ /pubmed/31438937 http://dx.doi.org/10.1186/s12913-019-4367-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Shah, Vishalie
Stokes, Jonathan
Sutton, Matt
Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title_full Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title_fullStr Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title_full_unstemmed Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title_short Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
title_sort effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704561/
https://www.ncbi.nlm.nih.gov/pubmed/31438937
http://dx.doi.org/10.1186/s12913-019-4367-8
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