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Elsman EBM, Mokkink LB, Terwee CB, Beaton D, Gagnier JJ, Tricco AC, Baba A, Butcher NJ, Smith M, Hofstetter C, Aiyegbusi OL, Berardi A, Farmer J, Haywood KL, Krause KR, Markham S, Mayo-Wilson E, Mehdipour A, Ricketts J, Szatmari P, Touma Z, Moher D, Offringa M. Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024. Qual Life Res 2024; 33:2029-2046. [PMID: 38980635 PMCID: PMC11286641 DOI: 10.1007/s11136-024-03634-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2024] [Indexed: 07/10/2024]
Abstract
PURPOSE Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥ 67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.
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Affiliation(s)
- Ellen B M Elsman
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Caroline B Terwee
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | | | - Joel J Gagnier
- Department of Epidemiology & Biostatistics and Department of Surgery, Western University, London, ON, Canada
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Ami Baba
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Nancy J Butcher
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | - Olalekan Lee Aiyegbusi
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Anna Berardi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Isernia, Italy
| | - Julie Farmer
- Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
| | - Kirstie L Haywood
- Warwick Research in Nursing, Division of Health Sciences, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry, UK
| | - Karolin R Krause
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Sarah Markham
- Department of Biostatistics & Health Informatics, Institute of Psychiatry Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology, UNC Gillings School of Global Public Health, 2101C McGavran-Greenberg Hall Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ava Mehdipour
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Peter Szatmari
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine, Schroeder Arthritis Institute, Krembil Research Institute, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
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Elsman EBM, Mokkink LB, Terwee CB, Beaton D, Gagnier JJ, Tricco AC, Baba A, Butcher NJ, Smith M, Hofstetter C, Aiyegbusi OL, Berardi A, Farmer J, Haywood KL, Krause KR, Markham S, Mayo-Wilson E, Mehdipour A, Ricketts J, Szatmari P, Touma Z, Moher D, Offringa M. Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024. Health Qual Life Outcomes 2024; 22:48. [PMID: 38978063 PMCID: PMC11232333 DOI: 10.1186/s12955-024-02256-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2024] [Indexed: 07/10/2024] Open
Abstract
PURPOSE Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥ 67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.
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Affiliation(s)
- Ellen B M Elsman
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Caroline B Terwee
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | | | - Joel J Gagnier
- Department of Epidemiology & Biostatistics and Department of Surgery, Western University, London, ON, Canada
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Ami Baba
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Nancy J Butcher
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | - Olalekan Lee Aiyegbusi
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Anna Berardi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Isernia, Italy
| | - Julie Farmer
- Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
| | - Kirstie L Haywood
- Warwick Research in Nursing, Division of Health Sciences, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry, UK
| | - Karolin R Krause
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Sarah Markham
- Department of Biostatistics & Health Informatics, Institute of Psychiatry Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology, UNC Gillings School of Global Public Health, 2101C McGavran-Greenberg Hall Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ava Mehdipour
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Peter Szatmari
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine, Schroeder Arthritis Institute, Krembil Research Institute, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
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Elsman EBM, Mokkink LB, Terwee CB, Beaton D, Gagnier JJ, Tricco AC, Baba A, Butcher NJ, Smith M, Hofstetter C, Aiyegbusi OL, Berardi A, Farmer J, Haywood KL, Krause KR, Markham S, Mayo-Wilson E, Mehdipour A, Ricketts J, Szatmari P, Touma Z, Moher D, Offringa M. Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024. J Patient Rep Outcomes 2024; 8:64. [PMID: 38977535 PMCID: PMC11231111 DOI: 10.1186/s41687-024-00727-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2024] [Indexed: 07/10/2024] Open
Abstract
PURPOSE Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.
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Affiliation(s)
- Ellen B M Elsman
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Caroline B Terwee
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | | | - Joel J Gagnier
- Department of Epidemiology and Biostatistics and Department of Surgery, Western University, London, ON, Canada
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Ami Baba
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Nancy J Butcher
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | - Olalekan Lee Aiyegbusi
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Anna Berardi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Isernia, Italy
| | - Julie Farmer
- Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
| | - Kirstie L Haywood
- Warwick Research in Nursing, Division of Health Sciences, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry, UK
| | - Karolin R Krause
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Sarah Markham
- Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology, UNC Gillings School of Global Public Health, 2101C McGavran-Greenberg Hall Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ava Mehdipour
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Peter Szatmari
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine, Schroeder Arthritis Institute, Krembil Research Institute, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
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Elsman EBM, Mokkink LB, Terwee CB, Beaton D, Gagnier JJ, Tricco AC, Baba A, Butcher NJ, Smith M, Hofstetter C, Lee Aiyegbusi O, Berardi A, Farmer J, Haywood KL, Krause KR, Markham S, Mayo-Wilson E, Mehdipour A, Ricketts J, Szatmari P, Touma Z, Moher D, Offringa M. Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024. J Clin Epidemiol 2024:111422. [PMID: 38849061 DOI: 10.1016/j.jclinepi.2024.111422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
BACKGROUND AND OBJECTIVE Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: This paper was jointly developed by Journal of Clinical Epidemiology, Quality of Life Research, Journal of Patient Reported Outcomes, Health and Quality of Life Outcomes and jointly published by Elsevier Inc, Springer Nature Switzerland AG, and BioMed Central Ltd., part of Springer Nature. The articles are identical except for minor stylistic and spelling differences in keeping with each journal's style. Either citation can be used when citing this article.
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Affiliation(s)
- Ellen B M Elsman
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Caroline B Terwee
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Dorcas Beaton
- Institute of Work and Health, Toronto, Ontario, Canada
| | - Joel J Gagnier
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Ami Baba
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Nancy J Butcher
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Olalekan Lee Aiyegbusi
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Anna Berardi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS NEUROMED, Pozzilli, Isernia, Italy
| | - Julie Farmer
- Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada
| | - Kirstie L Haywood
- Warwick Research in Nursing, Division of Health Sciences, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry, UK
| | - Karolin R Krause
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Markham
- Department of Biostatistics & Health Informatics, Institute of Psychiatry Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology, UNC Gillings School of Global Public Health, 2101C McGavran-Greenberg Hall Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ava Mehdipour
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | | | - Peter Szatmari
- Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Zahi Touma
- Division of Rheumatology, Schroeder Arthritis Institute, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
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Liu Y, Arnaert A, da Costa D, Sumbly P, Debe Z, Charbonneau S. Experiences of Patients With Chronic Obstructive Pulmonary Disease Using the Apple Watch Series 6 Versus the Traditional Finger Pulse Oximeter for Home SpO2 Self-Monitoring: Qualitative Study Part 2. JMIR Aging 2023; 6:e41539. [PMID: 37917147 PMCID: PMC10654900 DOI: 10.2196/41539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 05/30/2023] [Accepted: 06/27/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Amid the rise in mobile health, the Apple Watch now has the capability to measure peripheral blood oxygen saturation (SpO2). Although the company indicated that the Watch is not a medical device, evidence suggests that SpO2 measurements among patients with chronic obstructive pulmonary disease (COPD) are accurate in controlled settings. Yet, to our knowledge, the SpO2 function has not been validated for patients with COPD in naturalistic settings. OBJECTIVE This qualitative study explored the experiences of patients with COPD using the Apple Watch Series 6 versus a traditional finger pulse oximeter for home SpO2 self-monitoring. METHODS We conducted individual semistructured interviews with 8 female and 2 male participants with moderate to severe COPD, and transcripts were qualitatively analyzed. All received a watch to monitor their SpO2 for 5 months. RESULTS Due to respiratory distress, the watch was unable to collect reliable SpO2 measurements, as it requires the patient to remain in a stable position. However, despite the physical limitations and lack of reliable SpO2 values, participants expressed a preference toward the watch. Moreover, participants' health needs and their unique accessibility experiences influenced which device was more appropriate for self-monitoring purposes. Overall, all shared the perceived importance of prioritizing their physical COPD symptoms over device selection to manage their disease. CONCLUSIONS Differing results between participant preferences and smartwatch limitations warrant further investigation into the reliability and accuracy of the SpO2 function of the watch and the balance among self-management, medical judgment, and dependence on self-monitoring technology.
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Affiliation(s)
- Yuxin Liu
- Ingram School of Nursing, McGill University, Montreal, QC, Canada
| | - Antonia Arnaert
- Ingram School of Nursing, McGill University, Montreal, QC, Canada
| | - Daniel da Costa
- Ingram School of Nursing, McGill University, Montreal, QC, Canada
| | - Pia Sumbly
- Ingram School of Nursing, McGill University, Montreal, QC, Canada
| | - Zoumanan Debe
- Ingram School of Nursing, McGill University, Montreal, QC, Canada
| | - Sylvain Charbonneau
- Academic Affairs, Teaching and Research Directorate, Montreal West Island Integrated University Health and Social Service Centre, Montreal, QC, Canada
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Elsman EBM, Butcher NJ, Mokkink LB, Terwee CB, Tricco A, Gagnier JJ, Aiyegbusi OL, Barnett C, Smith M, Moher D, Offringa M. Study protocol for developing, piloting and disseminating the PRISMA-COSMIN guideline: a new reporting guideline for systematic reviews of outcome measurement instruments. Syst Rev 2022; 11:121. [PMID: 35698213 PMCID: PMC9195229 DOI: 10.1186/s13643-022-01994-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/28/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Systematic reviews of outcome measurement instruments are important tools in the evidence-based selection of these instruments. COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) has developed a comprehensive and widespread guideline to conduct systematic reviews of outcome measurement instruments, but key information is often missing in published reviews. This hinders the appraisal of the quality of outcome measurement instruments, impacts the decisions of knowledge users regarding their appropriateness, and compromises reproducibility and interpretability of the reviews' findings. To facilitate sufficient, transparent, and consistent reporting of systematic reviews of outcome measurement instruments, an extension of the PRISMA (Preferred Reporting of Items for Systematic reviews and Meta-Analyses) 2020 guideline will be developed: the PRISMA-COSMIN guideline. METHODS The PRISMA-COSMIN guideline will be developed in accordance with recommendations for reporting guideline development from the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network. First, a candidate reporting item list will be created through an environmental literature scan and expert consultations. Second, an international Delphi study will be conducted with systematic review authors, biostatisticians, epidemiologists, psychometricians/clinimetricians, reporting guideline developers, journal editors as well as patients, caregivers, and members of the public. Delphi panelists will rate candidate items for inclusion on a 5-point scale, suggest additional candidate items, and give feedback on item wording and comprehensibility. Third, the draft PRISMA-COSMIN guideline and user manual will be iteratively piloted by applying it to systematic reviews in several disease areas to assess its relevance, comprehensiveness, and comprehensibility, along with usability and user satisfaction. Fourth, a consensus meeting will be held to finalize the PRISMA-COSMIN guideline through roundtable discussions and voting. Last, a user manual will be developed and the final PRISMA-COSMIN guideline will be disseminated through publications, conferences, newsletters, and relevant websites. Additionally, relevant journals and organizations will be invited to endorse and implement PRISMA-COSMIN. Throughout the project, evaluations will take place to identify barriers and facilitators of involving patient/public partners and employing a virtual process. DISCUSSION The PRISMA-COSMIN guideline will ensure that the reports of systematic reviews of outcome measurement instruments are complete and informative, enhancing their reproducibility, ease of use, and uptake.
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Affiliation(s)
- Ellen B M Elsman
- Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands.
- Quality of Care, Amsterdam Public Health, Amsterdam, The Netherlands.
| | - Nancy J Butcher
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lidwine B Mokkink
- Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
- Methodology, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Caroline B Terwee
- Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
- Methodology, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Andrea Tricco
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Joel J Gagnier
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, London, Ontario, Canada
- Department of Surgery, Schulich School of Medicine and Dentistry, London, Ontario, Canada
- Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, Michigan, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Olalekan Lee Aiyegbusi
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Carolina Barnett
- Division of Neurology, Department of Medicine, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | | | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Management and Evaluation, Institute of Health Policy, University of Toronto, Toronto, Ontario, Canada
- Division of Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada
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NUCERA F, BIANCO A, DAVID T, SALVATO I, ADCOCK IM, CARAMORI G. Treatable traits in COPD patients. Minerva Med 2022; 113:449-459. [DOI: 10.23736/s0026-4806.22.08001-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Park Y, Lee C, Jung JY. Digital Healthcare for Airway Diseases from Personal Environmental Exposure. Yonsei Med J 2022; 63:S1-S13. [PMID: 35040601 PMCID: PMC8790581 DOI: 10.3349/ymj.2022.63.s1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/30/2021] [Accepted: 11/15/2021] [Indexed: 11/27/2022] Open
Abstract
Digital technologies have emerged in various dimensions of human life, ranging from education to professional services to well-being. In particular, health products and services have expanded by the use and development of artificial intelligence, mobile health applications, and wearable electronic devices. Such advancements have enabled accurate and updated tracking and modeling of health conditions. For instance, digital health technologies are capable of measuring environmental pollution and predicting its adverse health effects. Several health conditions, including chronic airway diseases such as asthma and chronic obstructive pulmonary disease, can be exacerbated by pollution. These diseases impose substantial health burdens with high morbidity and mortality. Recently, efforts have been made to develop digital technologies to alleviate such conditions. Moreover, the COVID-19 pandemic has facilitated the application of telemedicine and telemonitoring for patients with chronic airway diseases. This article reviews current trends and studies in digital technology utilization for investigating and managing environmental exposure and chronic airway diseases. First, we discussed the recent progression of digital technologies in general environmental healthcare. Then, we summarized the capacity of digital technologies in predicting exacerbation and self-management of airway diseases. Concluding these reviews, we provided suggestions to improve digital health technologies' abilities to reduce the adverse effects of environmental exposure in chronic airway diseases, based on personal exposure-response modeling.
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Affiliation(s)
- Youngmok Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Chanho Lee
- Severance Biomedical Science Institute, Yonsei Biomedical Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Ji Ye Jung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
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