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Priesterroth L, Grammes J, Strohm EA, Kubiak T. Disordered eating behaviours and eating disorders in adults with type 1 diabetes (DEBBI): rational and design of an observational longitudinal online study. BMJ Open 2022; 12:e064863. [PMID: 36113939 PMCID: PMC9486289 DOI: 10.1136/bmjopen-2022-064863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Disordered eating behaviours (DEB) and eating disorders (ED) are among the most common mental health comorbidities of type 1 diabetes. However, research on diabetes-specific risk and protective factors is limited. To this end, comprehensive characterisations of DEB and ED in type 1 diabetes, as well as longitudinal research on the course of DEB and ED, are needed to gain more insight. The 'Disordered eating behaviours and eating disorders in diabetes type I' (DEBBI) study aims to describe DEB/ED and their correlates in people with type 1 diabetes, to identify key diabetes-specific, psychosocial risk and protective factors, and to describe the course of DEB over time. METHODS AND ANALYSIS The DEBBI study is a longitudinal online survey with follow-up assessments after 6, 12 and 18 months, targeted at adults who have been diagnosed with type 1 diabetes for at least 12 months. The survey covers data on diabetes diagnosis and self-management (eg, diabetes treatment and complications), lifestyle (eg, eating habits, physical activity), psychosocial well-being (eg, anxiety, depressive symptoms) and demographic and medical information. It includes validated instruments and self-generated items. One key aspect of the data analysis will be latent profile analyses to determine latent subtypes of DEB manifestation in people with type 1 diabetes and their courses over time, including data on the clinical picture and symptoms, behaviours and diabetes-specific complications. ETHICS AND DISSEMINATION The study protocol was approved by the Ethics Committee of the State Medical Chamber of Rhineland-Palatine, Germany (ID 2021-16040). Participants give informed written consent before starting the survey. The DEBBI study will provide more clarity in the so far inconsistent empirical evidence base and will help to inform research on prevention and intervention strategies that are tailored to diabetes-specific needs. TRIAL REGISTRATION NUMBER The study is registered with DRKS German Clinical Trials Register (DRKS00028833).
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Affiliation(s)
| | - Jennifer Grammes
- Health Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Edda Anna Strohm
- Health Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Thomas Kubiak
- Health Psychology, Johannes Gutenberg University, Mainz, Germany
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Ehrmann D, Schmitt A, Priesterroth L, Kulzer B, Haak T, Hermanns N. Time With Diabetes Distress and Glycemia-Specific Distress: New Patient-Reported Outcome Measures for the Psychosocial Burden of Diabetes Using Ecological Momentary Assessment in an Observational Study. Diabetes Care 2022; 45:1522-1531. [PMID: 35613338 DOI: 10.2337/dc21-2339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/17/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To estimate time with diabetes distress using ecological momentary assessment (EMA) in people with type 1 diabetes and analyze its associations with glycemic management based on continuous glucose monitoring (CGM). RESEARCH DESIGN AND METHODS We used EMA to assess diabetes distress in a sample of recently hospitalized adults with type 1 diabetes once a day for 17 consecutive days in an ambulatory setting. Additionally, participants were asked daily about hypoglycemia distress (<70 mg/dL [3.9 mmol/L]), hyperglycemia distress (>180 mg/dL [10 mmol/L]), and variability distress (glucose fluctuations). Per person, the percentage of days with elevated distress was calculated (time with distress). Multilevel regression was used to analyze daily associations of distress ratings with CGM-derived parameters. EMA-derived associations between diabetes distress and glycemic outcomes were compared with questionnaire-derived associations. RESULTS Data of 178 participants were analyzed. Participants spent a mean (SD) of days in a state of diabetes distress, 54.6 ± 26.0% in hyperglycemia distress, 45.2 ± 27.5% in variability distress, and 23.0 ± 19.3% in hypoglycemia distress. In multilevel analyses, higher daily ratings of diabetes distress were significantly associated with hyperglycemia (β = 0.41). Results showed high between-person variability as explanation of variance of the models ranged between 22.2 and 98.8%. EMA-derived diabetes distress showed a significant association with mean glucose (r = 0.25), while questionnaire-based diabetes distress did not (r = 0.10). Prospectively, time with diabetes distress was associated with HbA1c at the 3-month follow-up (r = 0.27), while questionnaire-based distress showed no association (r = 0.11). CONCLUSIONS Time with distress as assessed with EMA showed a comparative advantage over distress as determined by questionnaire-based assessment of diabetes distress regarding associations with glycemic management.
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Affiliation(s)
- Dominic Ehrmann
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.,Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Andreas Schmitt
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Lilli Priesterroth
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.,Health Psychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Bernhard Kulzer
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.,Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Thomas Haak
- Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Norbert Hermanns
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.,Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Diabetes Center Mergentheim, Bad Mergentheim, Germany
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Joyal-Desmarais K, Stojanovic J, Kennedy EB, Enticott JC, Boucher VG, Vo H, Košir U, Lavoie KL, Bacon SL, Granana N, Losada AV, Boyle J, Shawon SR, Dawadi S, Teede H, Kautzky-Willer A, Dash A, Cornelio ME, Karsten M, Matte DL, Reichert F, Abou-Setta A, Aaron S, Alberga A, Barnett T, Barone S, Bélanger-Gravel A, Bernard S, Birch LM, Bondy S, Booij L, Da Silva RB, Bourbeau J, Burns R, Campbell T, Carlson L, Charbonneau É, Corace K, Drouin O, Ducharme F, Farhadloo M, Falk C, Fleet R, Fournier M, Garber G, Gauvin L, Gordon J, Grad R, Gupta S, Hellemans K, Herba C, Hwang H, Jedwab J, Kakinami L, Kim S, Liu J, Norris C, Pelaez S, Pilote L, Poirier P, Presseau J, Puterman E, Rash J, Ribeiro PAB, Sadatsafavi M, Chaudhuri PS, Suarthana E, Tse S, Vallis M, Caceres NB, Ortiz M, Repetto PB, Lemos-Hoyos M, Kassianos A, Rod NH, Beraneck M, Ninot G, Ditzen B, Kubiak T, Codjoe S, Kpobi L, Laar A, Skoura T, Francis DL, Devi NK, Meitei S, Nethan ST, Pinto L, Saraswathy KN, Tumu D, Lestari S, Wangge G, Byrne M, Durand H, McSharry J, Meade O, Molloy G, Noone C, Levine H, Zaidman-Zait A, Boccia S, Hoxhaj I, Paduano S, Raparelli V, Zaçe D, Aburub A, Akunga D, Ayah R, Barasa C, Godia PM, Kimani-Murage EW, Mutuku N, Mwoma T, Naanyu V, Nyamari J, Oburu H, Olenja J, Ongore D, Ziraba A, Bandawe C, Yim L, Ajuwon A, Shar NA, Usmani BA, Martínez RMB, Creed-Kanashiro H, Simão P, Rutayisire PC, Bari AZ, Vojvodic K, Nagyova I, Bantjes J, Barnes B, Coetzee B, Khagee A, Mothiba T, Roomaney R, Swartz L, Cho J, Lee MG, Berman A, Stattin NS, Fischer S, Hu D, Kara Y, Şimşek C, Üzmezoğlu B, Isunju JB, Mugisha J, Byrne-Davis L, Griffiths P, Hart J, Johnson W, Michie S, Paine N, Petherick E, Sherar L, Bilder RM, Burg M, Czajkowski S, Freedland K, Gorin SS, Holman A, Lee J, Lopez G, Naar S, Okun M, Powell L, Pressman S, Revenson T, Ruiz J, Sivaram S, Thrul J, Trudel-Fitzgerald C, Yohannes A, Navani R, Ranakombu K, Neto DH, Ben-Porat T, Dragomir A, Gagnon-Hébert A, Gemme C, Jamil M, Käfer LM, Vieira AM, Tasbih T, Woods R, Yousefi R, Roslyakova T, Priesterroth L, Edelstein S, Snir R, Uri Y, Alyami M, Sanuade C, Crescenzi O, Warkentin K, Grinko K, Angne L, Jain J, Mathur N, Mithe A, Nethan S. How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses. Eur J Epidemiol 2022; 37:1233-1250. [PMID: 36335560 PMCID: PMC9638233 DOI: 10.1007/s10654-022-00932-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 10/06/2022] [Indexed: 11/07/2022]
Abstract
COVID-19 research has relied heavily on convenience-based samples, which-though often necessary-are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVID-19 surveys and evaluate the degree to which common statistical adjustments for demographic covariates successfully attenuate such bias. This registered study analysed responses to identical questions from three convenience and three largely representative samples (total N = 13,731) collected online in Canada within the International COVID-19 Awareness and Responses Evaluation Study ( www.icarestudy.com ). We compared samples on 11 behavioural and psychological outcomes (e.g., adherence to COVID-19 prevention measures, vaccine intentions) across three time points and employed multiverse-style analyses to examine how 512 combinations of demographic covariates (e.g., sex, age, education, income, ethnicity) impacted sampling discrepancies on these outcomes. Significant discrepancies emerged between samples on 73% of outcomes. Participants in the convenience samples held more positive thoughts towards and engaged in more COVID-19 prevention behaviours. Covariates attenuated sampling differences in only 55% of cases and increased differences in 45%. No covariate performed reliably well. Our results suggest that online convenience samples may display more positive dispositions towards COVID-19 prevention behaviours being studied than would samples drawn using more representative means. Adjusting results for demographic covariates frequently increased rather than decreased bias, suggesting that researchers should be cautious when interpreting adjusted findings. Using multiverse-style analyses as extended sensitivity analyses is recommended.
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Affiliation(s)
- Keven Joyal-Desmarais
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
| | - Jovana Stojanovic
- Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada ,Canadian Agency for Drugs and Technologies in Health, Ottawa, Canada
| | - Eric B. Kennedy
- Disaster and Emergency Management, York University, Toronto, Canada
| | - Joanne C. Enticott
- Department of General Practice, Monash University, Melbourne, Australia ,Monash Partners, Advanced Health Research and Translation Centre, Melbourne, Australia
| | | | - Hung Vo
- Austin Health, Victoria, Australia
| | - Urška Košir
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
| | - Kim L. Lavoie
- Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada ,Département de Psychologie, Université du Québec à Montréal, Montreal, Canada
| | - Simon L. Bacon
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
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Priesterroth L, Grammes J, Clauter M, Kubiak T. Diabetes technologies in people with type 1 diabetes mellitus and disordered eating: A systematic review on continuous subcutaneous insulin infusion, continuous glucose monitoring and automated insulin delivery. Diabet Med 2021; 38:e14581. [PMID: 33826771 DOI: 10.1111/dme.14581] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 03/26/2021] [Accepted: 03/31/2021] [Indexed: 02/06/2023]
Abstract
AIMS In this systematic review, we aimed (1) to identify and describe research investigating the use of advanced diabetes technologies (continuous subcutaneous insulin infusion, CSII; continuous glucose monitoring, CGM; automated insulin delivery, AID) in people with type 1 diabetes (T1DM) and disordered eating and (2) to discuss potential (dis)advantages of diabetes technology use in this population, derived from previous research. METHODS We conducted a systematic literature search in two electronic databases for English articles published between 2000 and 2020 addressing eating disorders and/or dysfunctional eating behaviours and diabetes technology use in children, adolescents and adults with T1DM (PROSPERO ID CRD42020160244). RESULTS Of 70 publications initially identified, 17 were included. Overall, evidence on the use of diabetes technologies in people with T1DM and disordered eating is scarce. The majority of the studies reports findings on CSII in people with T1DM and dysfunctional eating behaviours or eating disorders. Findings predominantly stem from observational data and are, in most cases, secondary findings of the respective studies. Providing the greatest flexibility in diabetes management, CSII may have benefits in disordered eating. CGM data may complement the diagnostic process of disordered eating with a physiological indicator of insulin restriction (i.e. time spent in hyperglycaemia). CONCLUSIONS Results on possible (dis)advantages of diabetes technology use in people with T1DM and disordered eating are based on observational data, small pilot trials and anecdotical evidence from case reports. Prospective data from larger samples are needed to reliably determine potential effects of diabetes technology on disordered eating in T1DM.
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Affiliation(s)
- Lilli Priesterroth
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Jennifer Grammes
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Mona Clauter
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Thomas Kubiak
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
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Ehrmann D, Priesterroth L, Schmitt A, Kulzer B, Hermanns N. Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends. Diabetes Spectr 2021; 34:149-155. [PMID: 34149255 PMCID: PMC8178712 DOI: 10.2337/ds20-0096] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Time in glucose ranges is increasingly relevant for research and clinical practice. Whereas the clinical validity of these metrics has been demonstrated with regard to long-term complications, their associations with patient-reported outcomes such as well-being, diabetes distress, and fear of hypoglycemia remain an open research question. This article reviews existing evidence on links between times in glycemic ranges and patient-reported outcomes. It also describes a novel research approach of using ecological momentary assessment to analyze on a more granular level in real time possible associations of these parameters of glycemic control and patient-reported outcomes. Such an approach could further our understanding of how glucose and patient-reported outcomes may be interconnected.
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Affiliation(s)
- Dominic Ehrmann
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
- German Center for Diabetes Research, Muenchen-Neuherberg, Germany
| | - Lilli Priesterroth
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Health Psychology, Institute of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Andreas Schmitt
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- German Center for Diabetes Research, Muenchen-Neuherberg, Germany
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
| | - Bernhard Kulzer
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
- German Center for Diabetes Research, Muenchen-Neuherberg, Germany
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
| | - Norbert Hermanns
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
- German Center for Diabetes Research, Muenchen-Neuherberg, Germany
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
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Abstract
People with diabetes often have a depressive disorder in addition to diabetes, which makes therapy more difficult and worsens the prognosis of the disease. Depression is an often underestimated risk factor in the context of diabetes. The aim of this article is to illustrate the significance of depression in diabetes for the course of the disease and to provide an overview of the most important diagnostic and therapeutic recommendations for practice.
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Abstract
AIM To identify key psychosocial research in the domain of diabetes technology. RESULTS Four trajectories of psychosocial diabetes technology research are identified that characterize research over the past 25 years. Key evidence is reviewed on psychosocial outcomes of technology use as well as psychosocial barriers and facilitating conditions of diabetes technology uptake. Psychosocial interventions that address modifiable barriers and psychosocial factors have proven to be effective in improving glycaemic and self-reported outcomes in diabetes technology users. CONCLUSIONS Psychosocial diabetes technology research is essential for designing interventions and education programmes targeting the person with diabetes to facilitate optimized outcomes associated with technology uptake. Psychosocial aspects of diabetes technology use and related research will be even more important in the future given the advent of systems for automated insulin delivery and the increasingly widespread digitalization of diabetes care.
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Affiliation(s)
- T Kubiak
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
| | - L Priesterroth
- Health Psychology, Institute of Psychology, Johannes Gutenberg University, Mainz, Germany
| | - K D Barnard-Kelly
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK
- BHR Limited, Fareham, UK
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Abstract
BACKGROUND Diabetes management apps may have positive effects on diabetes self-management. It remains unclear, however, which app features are particularly effective and encourage sustained app usage. Behavior change techniques (BCTs) and gamification are promising approaches to improve user engagement. However, little is known about the frequency BCTs and gamification techniques (GTs) are actually used. This app review aims to provide an overview of BCTs and GTs in current diabetes management apps. METHODS Google's Play Store was searched for applications using a broad search strategy (keyword: "diabetes"). We limited our research to freely available apps. A total of 56 apps matched the inclusion criteria and were reviewed in terms of the features they offer to support self-management. We used a taxonomy comprising 29 BCTs and 17 GTs to evaluate the applications. Two independent raters tested and evaluated each app. RESULTS Interrater agreement was high (ICC = .75 for BCTs; ICC = .90 for GTs). An average of 7.4 BCTs (SD = 3.1) and an average of 1.4 out of 17 GTs (SD = 1.6) were implemented in each app. Five out of 29 BCTs accounted for 55.8% of the BCTs identified in total. The GT most often identified was "feedback" and accounted for 50% of the GTs. CONCLUSIONS The potential of BCTs and GTs in diabetes management apps has not been fully exploited yet. Only very restricted sets of BCTs and gamification features were implemented. Systematic research on the efficacy of specific BCTs and GTs is needed to provide further guidance for app design.
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Affiliation(s)
- Lilli Priesterroth
- Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
- Lilli Priesterroth, BSc, Health Psychology, Johannes Gutenberg University Mainz, Binger Straße 14-16, 55122 Mainz, Germany.
| | - Jennifer Grammes
- Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Kimberly Holtz
- Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Anna Reinwarth
- Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Kubiak
- Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
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Grammes J, Küstner E, Demattio S, Priesterroth L, Heinemann L, Kubiak T. Wünsche, Sorgen und Bedürfnisse bezüglich der Insulinpumpentherapie im Alter: Ergebnisse einer Befragung bei Menschen mit Typ-1-Diabetes mellitus im höheren Lebensalter und von Diabetesfachkräften. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/a-0729-3389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Zusammenfassung
Hintergrund Mehr als die Hälfte aller Menschen mit Diabetes in Deutschland ist älter als 65 Jahre. Für eine erfolgreiche Insulinpumpentherapie (Continuous Subcutaneous Insulin Infusion; CSII) im hohen Erwachsenenalter sind Wünsche, Sorgen und Erfahrungen älterer Menschen mit Typ-1-Diabetes, erlebte Barrieren und förderliche Bedingungen von zentraler Bedeutung.
Methodik Ältere Menschen mit Typ-1-Diabetes, die sich mit einer CSII behandeln (n = 136), sowie Fachkräfte aus dem Diabetesbereich (Diabetes Health Care Professionals; HCP; n = 96) nahmen an einem Fragebogensurvey teil, in dem anhand zweier offener Fragen Wünsche, Sorgen und Erfahrungen älterer Menschen mit Typ-1-Diabetes erfasst wurden. Durch systematische, induktive Datenreduktion wurden aus den Antworten zentrale Kategorien und Subkategorien identifiziert.
Ergebnisse Es konnten vier Inhaltskategorien abgeleitet werden: (1) Fremdhilfe, (2) Technische Innovation, (3) Gesundheitspolitik und (4) Umstellung auf ICT. Am häufigsten wurde das Vorhandensein von kompetenter Hilfe von außen durch den HCP aus dem Diabetesbereich sowie durch Angehörige und andere Betroffene gewünscht. Die Befragten formulierten klare Wünsche an ein altersgerechtes Design von Insulinpumpen (z. B. großes Display, Sprachsteuerung). Sorgen der Pumpenträger/-innen bezogen sich u. a. auf Hilflosigkeit, Akutkomplikationen und verschlechterte Stoffwechsellage.
Schlussfolgerung Die Befragten äußerten große Sorgen und Unsicherheiten bezüglich CSII im Alter, auf die seitens der Diabetologie, Industrie und Gesundheitspolitik eingegangen werden sollte, um Insulinpumpentherapie altersgerecht zu gestalten.
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Affiliation(s)
- Jennifer Grammes
- c/o IDT, Arbeitsgemeinschaft Diabetes und Technologie der Deutschen Diabetes Gesellschaft, Ulm, Germany
- Gesundheitspsychologie, Johannes Gutenberg-Universität, Mainz, Germany
| | - Eva Küstner
- c/o IDT, Arbeitsgemeinschaft Diabetes und Technologie der Deutschen Diabetes Gesellschaft, Ulm, Germany
| | - Silvia Demattio
- Gesundheitspsychologie, Johannes Gutenberg-Universität, Mainz, Germany
| | | | - Lutz Heinemann
- c/o IDT, Arbeitsgemeinschaft Diabetes und Technologie der Deutschen Diabetes Gesellschaft, Ulm, Germany
| | - Thomas Kubiak
- c/o IDT, Arbeitsgemeinschaft Diabetes und Technologie der Deutschen Diabetes Gesellschaft, Ulm, Germany
- Gesundheitspsychologie, Johannes Gutenberg-Universität, Mainz, Germany
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