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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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