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Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit

BACKGROUND: Normalization Process Theory (NPT) can be used to explain implementation processes in health care relating to new technologies and complex interventions. This paper describes the processes by which we developed a simplified version of NPT for use by clinicians, managers, and policy maker...

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Autores principales: May, Carl R, Finch, Tracy, Ballini, Luciana, MacFarlane, Anne, Mair, Frances, Murray, Elizabeth, Treweek, Shaun, Rapley, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3205031/
https://www.ncbi.nlm.nih.gov/pubmed/21961827
http://dx.doi.org/10.1186/1472-6963-11-245
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author May, Carl R
Finch, Tracy
Ballini, Luciana
MacFarlane, Anne
Mair, Frances
Murray, Elizabeth
Treweek, Shaun
Rapley, Tim
author_facet May, Carl R
Finch, Tracy
Ballini, Luciana
MacFarlane, Anne
Mair, Frances
Murray, Elizabeth
Treweek, Shaun
Rapley, Tim
author_sort May, Carl R
collection PubMed
description BACKGROUND: Normalization Process Theory (NPT) can be used to explain implementation processes in health care relating to new technologies and complex interventions. This paper describes the processes by which we developed a simplified version of NPT for use by clinicians, managers, and policy makers, and which could be embedded in a web-enabled toolkit and on-line users manual. METHODS: Between 2006 and 2010 we undertook four tasks. (i) We presented NPT to potential and actual users in multiple workshops, seminars, and presentations. (ii) Using what we discovered from these meetings, we decided to create a simplified set of statements and explanations expressing core constructs of the theory (iii) We circulated these statements to a criterion sample of 60 researchers, clinicians and others, using SurveyMonkey to collect qualitative textual data about their criticisms of the statements. (iv) We then reconstructed the statements and explanations to meet users' criticisms, embedded them in a web-enabled toolkit, and beta tested this 'in the wild'. RESULTS: On-line data collection was effective: over a four week period 50/60 participants responded using SurveyMonkey (40/60) or direct phone and email contact (10/60). An additional nine responses were received from people who had been sent the SurveyMonkey form by other respondents. Beta testing of the web enabled toolkit produced 13 responses, from 327 visits to http://www.normalizationprocess.org. Qualitative analysis of both sets of responses showed a high level of support for the statements but also showed that some statements poorly expressed their underlying constructs or overlapped with others. These were rewritten to take account of users' criticisms and then embedded in a web-enabled toolkit. As a result we were able translate the core constructs into a simplified set of statements that could be utilized by non-experts. CONCLUSION: Normalization Process Theory has been developed through transparent procedures at each stage of its life. The theory has been shown to be sufficiently robust to merit formal testing. This project has provided a user friendly version of NPT that can be embedded in a web-enabled toolkit and used as a heuristic device to think through implementation and integration problems.
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spelling pubmed-32050312011-11-01 Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit May, Carl R Finch, Tracy Ballini, Luciana MacFarlane, Anne Mair, Frances Murray, Elizabeth Treweek, Shaun Rapley, Tim BMC Health Serv Res Research Article BACKGROUND: Normalization Process Theory (NPT) can be used to explain implementation processes in health care relating to new technologies and complex interventions. This paper describes the processes by which we developed a simplified version of NPT for use by clinicians, managers, and policy makers, and which could be embedded in a web-enabled toolkit and on-line users manual. METHODS: Between 2006 and 2010 we undertook four tasks. (i) We presented NPT to potential and actual users in multiple workshops, seminars, and presentations. (ii) Using what we discovered from these meetings, we decided to create a simplified set of statements and explanations expressing core constructs of the theory (iii) We circulated these statements to a criterion sample of 60 researchers, clinicians and others, using SurveyMonkey to collect qualitative textual data about their criticisms of the statements. (iv) We then reconstructed the statements and explanations to meet users' criticisms, embedded them in a web-enabled toolkit, and beta tested this 'in the wild'. RESULTS: On-line data collection was effective: over a four week period 50/60 participants responded using SurveyMonkey (40/60) or direct phone and email contact (10/60). An additional nine responses were received from people who had been sent the SurveyMonkey form by other respondents. Beta testing of the web enabled toolkit produced 13 responses, from 327 visits to http://www.normalizationprocess.org. Qualitative analysis of both sets of responses showed a high level of support for the statements but also showed that some statements poorly expressed their underlying constructs or overlapped with others. These were rewritten to take account of users' criticisms and then embedded in a web-enabled toolkit. As a result we were able translate the core constructs into a simplified set of statements that could be utilized by non-experts. CONCLUSION: Normalization Process Theory has been developed through transparent procedures at each stage of its life. The theory has been shown to be sufficiently robust to merit formal testing. This project has provided a user friendly version of NPT that can be embedded in a web-enabled toolkit and used as a heuristic device to think through implementation and integration problems. BioMed Central 2011-09-30 /pmc/articles/PMC3205031/ /pubmed/21961827 http://dx.doi.org/10.1186/1472-6963-11-245 Text en Copyright ©2011 May et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
May, Carl R
Finch, Tracy
Ballini, Luciana
MacFarlane, Anne
Mair, Frances
Murray, Elizabeth
Treweek, Shaun
Rapley, Tim
Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title_full Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title_fullStr Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title_full_unstemmed Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title_short Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
title_sort evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3205031/
https://www.ncbi.nlm.nih.gov/pubmed/21961827
http://dx.doi.org/10.1186/1472-6963-11-245
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