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Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app
INTRODUCTION: The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022775/ https://www.ncbi.nlm.nih.gov/pubmed/36930585 http://dx.doi.org/10.1371/journal.pone.0283148 |
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author | Søholm, Uffe Broadley, Melanie Zaremba, Natalie Divilly, Patrick Nefs, Giesje Carlton, Jill Mader, Julia K. Baumann, Petra Martina Gomes, Mikel Martine-Edith, Gilberte Pollard, Daniel J. Rath, Dajana Heller, Simon Pedersen-Bjergaard, Ulrik McCrimmon, Rory J. Renard, Eric Evans, Mark de Galan, Bastiaan Forkmann, Thomas Amiel, Stephanie A. Hendrieckx, Christel Speight, Jane Choudhary, Pratik Pouwer, Frans |
author_facet | Søholm, Uffe Broadley, Melanie Zaremba, Natalie Divilly, Patrick Nefs, Giesje Carlton, Jill Mader, Julia K. Baumann, Petra Martina Gomes, Mikel Martine-Edith, Gilberte Pollard, Daniel J. Rath, Dajana Heller, Simon Pedersen-Bjergaard, Ulrik McCrimmon, Rory J. Renard, Eric Evans, Mark de Galan, Bastiaan Forkmann, Thomas Amiel, Stephanie A. Hendrieckx, Christel Speight, Jane Choudhary, Pratik Pouwer, Frans |
author_sort | Søholm, Uffe |
collection | PubMed |
description | INTRODUCTION: The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functioning in people with insulin-treated diabetes. MATERIALS AND METHODS: 100 adults with type 1 diabetes mellitus (T1DM, n = 64) or insulin-treated type 2 diabetes mellitus (T2DM, n = 36) completed three daily ‘check-ins’ (morning, afternoon and evening) via the Hypo-METRICs app across 10 weeks, to respond to 29 unique questions about their subjective daily functioning. Questions addressed sleep quality, energy level, mood, affect, cognitive functioning, fear of hypoglycemia and hyperglycemia, social functioning, and work/productivity. Completion rates, structural validity, internal consistency, and test-retest reliability were explored. App responses were correlated with validated person-reported outcome measures to investigate convergent (r(s)>±0.3) and divergent (r(s)<±0.3) validity. RESULTS: Participants’ mean±SD age was 54±16 years, diabetes duration was 23±13 years, and most recent HbA1c was 56.6±9.8 mmol/mol. Participants submitted mean±SD 191±16 out of 210 possible ‘check-ins’ (91%). Structural validity was confirmed with multi-level confirmatory factor analysis showing good model fit on the adjusted model (Comparative Fit Index >0.95, Root-Mean-Square Error of Approximation <0.06, Standardized Root-Mean-square Residual<0.08). Scales had satisfactory internal consistency (all ω≥0.5), and high test-retest reliability (r(s)≥0.7). Convergent and divergent validity were demonstrated for most scales. CONCLUSION: High completion rates and satisfactory psychometric properties demonstrated that the Hypo-METRICS app is acceptable to adults with T1DM and T2DM, and a reliable and valid tool to explore the daily impact of hypoglycemia. |
format | Online Article Text |
id | pubmed-10022775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100227752023-03-18 Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app Søholm, Uffe Broadley, Melanie Zaremba, Natalie Divilly, Patrick Nefs, Giesje Carlton, Jill Mader, Julia K. Baumann, Petra Martina Gomes, Mikel Martine-Edith, Gilberte Pollard, Daniel J. Rath, Dajana Heller, Simon Pedersen-Bjergaard, Ulrik McCrimmon, Rory J. Renard, Eric Evans, Mark de Galan, Bastiaan Forkmann, Thomas Amiel, Stephanie A. Hendrieckx, Christel Speight, Jane Choudhary, Pratik Pouwer, Frans PLoS One Research Article INTRODUCTION: The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functioning in people with insulin-treated diabetes. MATERIALS AND METHODS: 100 adults with type 1 diabetes mellitus (T1DM, n = 64) or insulin-treated type 2 diabetes mellitus (T2DM, n = 36) completed three daily ‘check-ins’ (morning, afternoon and evening) via the Hypo-METRICs app across 10 weeks, to respond to 29 unique questions about their subjective daily functioning. Questions addressed sleep quality, energy level, mood, affect, cognitive functioning, fear of hypoglycemia and hyperglycemia, social functioning, and work/productivity. Completion rates, structural validity, internal consistency, and test-retest reliability were explored. App responses were correlated with validated person-reported outcome measures to investigate convergent (r(s)>±0.3) and divergent (r(s)<±0.3) validity. RESULTS: Participants’ mean±SD age was 54±16 years, diabetes duration was 23±13 years, and most recent HbA1c was 56.6±9.8 mmol/mol. Participants submitted mean±SD 191±16 out of 210 possible ‘check-ins’ (91%). Structural validity was confirmed with multi-level confirmatory factor analysis showing good model fit on the adjusted model (Comparative Fit Index >0.95, Root-Mean-Square Error of Approximation <0.06, Standardized Root-Mean-square Residual<0.08). Scales had satisfactory internal consistency (all ω≥0.5), and high test-retest reliability (r(s)≥0.7). Convergent and divergent validity were demonstrated for most scales. CONCLUSION: High completion rates and satisfactory psychometric properties demonstrated that the Hypo-METRICS app is acceptable to adults with T1DM and T2DM, and a reliable and valid tool to explore the daily impact of hypoglycemia. Public Library of Science 2023-03-17 /pmc/articles/PMC10022775/ /pubmed/36930585 http://dx.doi.org/10.1371/journal.pone.0283148 Text en © 2023 Søholm et al 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 author and source are credited. |
spellingShingle | Research Article Søholm, Uffe Broadley, Melanie Zaremba, Natalie Divilly, Patrick Nefs, Giesje Carlton, Jill Mader, Julia K. Baumann, Petra Martina Gomes, Mikel Martine-Edith, Gilberte Pollard, Daniel J. Rath, Dajana Heller, Simon Pedersen-Bjergaard, Ulrik McCrimmon, Rory J. Renard, Eric Evans, Mark de Galan, Bastiaan Forkmann, Thomas Amiel, Stephanie A. Hendrieckx, Christel Speight, Jane Choudhary, Pratik Pouwer, Frans Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title | Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title_full | Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title_fullStr | Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title_full_unstemmed | Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title_short | Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app |
title_sort | psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: the hypo-metrics app |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022775/ https://www.ncbi.nlm.nih.gov/pubmed/36930585 http://dx.doi.org/10.1371/journal.pone.0283148 |
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