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Evaluating a pre-surgical health optimisation programme: a feasibility study

BACKGROUND: Health optimisation programmes are increasingly popular and aim to support patients to lose weight or stop smoking ahead of surgery, yet there is little published evidence about their impact. This study aimed to assess the feasibility of evaluating a programme introduced by a National He...

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Autores principales: McLaughlin, Joanna, Scott, Lauren J., Owens, Lucie, McLeod, Hugh, Sillero-Rejon, Carlos, Reynolds, Rebecca, Owen-Smith, Amanda, Hill, Elizabeth M., Jago, Russell, Donovan, Jenny L., Redwood, Sabi, Kipping, Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219203/
https://www.ncbi.nlm.nih.gov/pubmed/35733182
http://dx.doi.org/10.1186/s13741-022-00255-2
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author McLaughlin, Joanna
Scott, Lauren J.
Owens, Lucie
McLeod, Hugh
Sillero-Rejon, Carlos
Reynolds, Rebecca
Owen-Smith, Amanda
Hill, Elizabeth M.
Jago, Russell
Donovan, Jenny L.
Redwood, Sabi
Kipping, Ruth
author_facet McLaughlin, Joanna
Scott, Lauren J.
Owens, Lucie
McLeod, Hugh
Sillero-Rejon, Carlos
Reynolds, Rebecca
Owen-Smith, Amanda
Hill, Elizabeth M.
Jago, Russell
Donovan, Jenny L.
Redwood, Sabi
Kipping, Ruth
author_sort McLaughlin, Joanna
collection PubMed
description BACKGROUND: Health optimisation programmes are increasingly popular and aim to support patients to lose weight or stop smoking ahead of surgery, yet there is little published evidence about their impact. This study aimed to assess the feasibility of evaluating a programme introduced by a National Health Service (NHS) clinical commissioning group offering support to smokers/obese patients in an extra 3 months prior to the elective hip/knee surgery pathway. METHODS: Feasibility study mapping routinely collected data sources, availability and completeness for 502 patients referred to the hip/knee pathway in February–July 2018. RESULTS: Data collation across seven sources was complex. Data completeness for smoking and ethnicity was poor. While 37% (184) of patients were eligible for health optimisation, only 28% of this comparatively deprived patient group accepted referral to the support offered. Patients who accepted referral to support and completed the programme had a larger median reduction in BMI than those who did not accept referral (− 1.8 BMI points vs. − 0.5). Forty-nine per cent of patients who accepted support were subsequently referred to surgery, compared to 61% who did not accept referral to support. CONCLUSIONS: Use of routinely collected data to evaluate health optimisation programmes is feasible though demanding. Indications of the positive effects of health optimisation interventions from this study and existing literature suggest that the challenge of programme evaluation should be prioritised; longer-term evaluation of costs and outcomes is warranted to inform health optimisation policy development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13741-022-00255-2.
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spelling pubmed-92192032022-06-24 Evaluating a pre-surgical health optimisation programme: a feasibility study McLaughlin, Joanna Scott, Lauren J. Owens, Lucie McLeod, Hugh Sillero-Rejon, Carlos Reynolds, Rebecca Owen-Smith, Amanda Hill, Elizabeth M. Jago, Russell Donovan, Jenny L. Redwood, Sabi Kipping, Ruth Perioper Med (Lond) Research BACKGROUND: Health optimisation programmes are increasingly popular and aim to support patients to lose weight or stop smoking ahead of surgery, yet there is little published evidence about their impact. This study aimed to assess the feasibility of evaluating a programme introduced by a National Health Service (NHS) clinical commissioning group offering support to smokers/obese patients in an extra 3 months prior to the elective hip/knee surgery pathway. METHODS: Feasibility study mapping routinely collected data sources, availability and completeness for 502 patients referred to the hip/knee pathway in February–July 2018. RESULTS: Data collation across seven sources was complex. Data completeness for smoking and ethnicity was poor. While 37% (184) of patients were eligible for health optimisation, only 28% of this comparatively deprived patient group accepted referral to the support offered. Patients who accepted referral to support and completed the programme had a larger median reduction in BMI than those who did not accept referral (− 1.8 BMI points vs. − 0.5). Forty-nine per cent of patients who accepted support were subsequently referred to surgery, compared to 61% who did not accept referral to support. CONCLUSIONS: Use of routinely collected data to evaluate health optimisation programmes is feasible though demanding. Indications of the positive effects of health optimisation interventions from this study and existing literature suggest that the challenge of programme evaluation should be prioritised; longer-term evaluation of costs and outcomes is warranted to inform health optimisation policy development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13741-022-00255-2. BioMed Central 2022-06-23 /pmc/articles/PMC9219203/ /pubmed/35733182 http://dx.doi.org/10.1186/s13741-022-00255-2 Text en © The Author(s) 2022 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
McLaughlin, Joanna
Scott, Lauren J.
Owens, Lucie
McLeod, Hugh
Sillero-Rejon, Carlos
Reynolds, Rebecca
Owen-Smith, Amanda
Hill, Elizabeth M.
Jago, Russell
Donovan, Jenny L.
Redwood, Sabi
Kipping, Ruth
Evaluating a pre-surgical health optimisation programme: a feasibility study
title Evaluating a pre-surgical health optimisation programme: a feasibility study
title_full Evaluating a pre-surgical health optimisation programme: a feasibility study
title_fullStr Evaluating a pre-surgical health optimisation programme: a feasibility study
title_full_unstemmed Evaluating a pre-surgical health optimisation programme: a feasibility study
title_short Evaluating a pre-surgical health optimisation programme: a feasibility study
title_sort evaluating a pre-surgical health optimisation programme: a feasibility study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219203/
https://www.ncbi.nlm.nih.gov/pubmed/35733182
http://dx.doi.org/10.1186/s13741-022-00255-2
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