Use of patient-reported outcome measures (PROMs) in clinical diabetes consultations: the DiaPROM randomised controlled pilot trial

Ingvild Hernar, Marit Graue, David A Richards, Ragnhild B Strandberg, Roy Miodini Nilsen, Magne Rekdal, Karianne Fjeld Løvaas, Tone V Madsen, Grethe S Tell, Anne Haugstvedt, Ingvild Hernar, Marit Graue, David A Richards, Ragnhild B Strandberg, Roy Miodini Nilsen, Magne Rekdal, Karianne Fjeld Løvaas, Tone V Madsen, Grethe S Tell, Anne Haugstvedt

Abstract

Objective: To pilot test the proposed DiaPROM trial components and address uncertainties associated with conducting a full-scale randomised controlled trial (RCT) to evaluate whether such a trial is feasible.

Design: Two-arm pilot RCT.

Participants: Adults aged ≥18-39 years, with minimum 1 year type 1 diabetes duration, attending outpatient follow-up. Exclusion criteria were pregnancy, severe cognitive, somatic or psychiatric conditions and impaired vision.

Randomisation and intervention: All participants completed electronic Patient-Reported Outcome Measures (PROMs) prior to the annual diabetes consultation. Using computer-generated block-randomisation without blinding, we assigned participants in a 1:1 ratio stratified by sex to receive standard care or an intervention. Physicians reviewed diabetes distress scores (Problem Areas In Diabetes scale) and referred individuals with scores ≥30 or single item(s) ≥3 to minimum two diabetes nurse consultations where reported problems were reviewed and discussed.

Outcomes: Recruitment and retention rates; participants perceptions about intervention components. Variance and estimated between-group differences in follow-up scores (Diabetes Distress Scale (DDS), WHO 5-Well-being Index, Perceived Competence for Diabetes Scale and glycaemic control) and DDS correlation with baseline scores, to assist sample size calculations.

Results: We randomised 80 participants to the control or intervention arm (one participant was later excluded). 23/39 intervention arm participants qualified for additional consultations and 17 attended. 67/79 attended the 12-month follow-up (15.2% attrition); 5/17 referred to additional consultations were lost to follow-up (29.4% attrition). Participants reported PROMs as relevant (84.6%) and acceptable (97.4%) but rated the usefulness of consultations as moderate to low. Baseline mean±SD DDS score was 2.1±0.69; DDS SD was 0.71 (95% CI: 0.60 to 0.86) at follow-up; correlation between baseline and follow-up DDS scores was 0.8 (95% CI: 0.7 to 0.9).

Conclusions: The pilot trial revealed need for intervention modifications ahead of a full-scale trial to evaluate use of PROMs in diabetes consultations. Specifically, participant acceptability and intervention implementation need further investigation.

Keywords: diabetes & endocrinology; general diabetes; quality in health care.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
The DiaPROM pilot trial’s consolidated standards of reporting trials flow diagram. (CONSORT, Consolidated Standards of Reporting Trials; DiaPROM, Diabetes Patient-Reported Outcome Measures; DDS, Diabetes Distress Scale; PAID, Problem Areas In Diabetes; PCDS, Perceived Competence for Diabetes Scale.)

References

    1. Atkinson MA, Eisenbarth GS, Michels AW. Type 1 diabetes. Lancet 2014;383:69–82. 10.1016/S0140-6736(13)60591-7
    1. American Diabetes Association . 5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2020. Diabetes Care 2020;43:S48–65. 10.2337/dc20-S005
    1. Wentzell K, Vessey JA, Laffel LMB. How do the challenges of emerging adulthood inform our understanding of diabetes distress? an integrative review. Curr Diab Rep 2020;20:21. 10.1007/s11892-020-01301-3
    1. Jones A, Vallis M, Pouwer F. If it does not significantly change HbA1c levels why should we waste time on it? a plea for the prioritization of psychological well-being in people with diabetes. Diabet Med 2015;32:155–63. 10.1111/dme.12620
    1. Kubiak T, Priesterroth L, Barnard-Kelly KD. Psychosocial aspects of diabetes technology. Diabet Med 2020;37:448–54. 10.1111/dme.14234
    1. Carlsen S, Skrivarhaug T, Thue G, et al. . Glycemic control and complications in patients with type 1 diabetes - a registry-based longitudinal study of adolescents and young adults. Pediatr Diabetes 2017;18:188–95. 10.1111/pedi.12372
    1. Cooper JG, Bakke Å, Dalen I, et al. . Factors associated with glycaemic control in adults with type 1 diabetes: a registry-based analysis including 7601 individuals from 34 centres in Norway. Diabet Med 2020;37:828–37. 10.1111/dme.14123
    1. McKnight JA, Wild SH, Lamb MJE, et al. . Glycaemic control of Type 1 diabetes in clinical practice early in the 21st century: an international comparison. Diabet Med 2015;32:1036–50. 10.1111/dme.12676
    1. Foster NC, Beck RW, Miller KM, et al. . State of type 1 diabetes management and outcomes from the T1D exchange in 2016-2018. Diabetes Technol Ther 2019;21:66–72. 10.1089/dia.2018.0384
    1. Snoek FJ, Bremmer MA, Hermanns N. Constructs of depression and distress in diabetes: time for an appraisal. Lancet Diabetes Endocrinol 2015;3:450–60. 10.1016/S2213-8587(15)00135-7
    1. Rubin RR. Counselling and psychoterapy in diabetes mellitus. : Snoek FJ, Skinner TC, . Psychology in diabetes care. 2nd ed. Chichester: Wiley, 2005: 171–93.
    1. Young-Hyman D, de Groot M, Hill-Briggs F, et al. . Psychosocial care for people with diabetes: a position statement of the American diabetes association. Diabetes Care 2016;39:2126–40. 10.2337/dc16-2053
    1. Litterbach E, Holmes-Truscott E, Pouwer F, et al. . 'I wish my health professionals understood that it's not just all about your HbA1c !'. Qualitative responses from the second Diabetes MILES - Australia (MILES-2) study. Diabet Med 2020;37:971–81. 10.1111/dme.14199
    1. Iversen E, Kolltveit B-CH, Hernar I, et al. . Transition from paediatric to adult care: a qualitative study of the experiences of young adults with type 1 diabetes. Scand J Caring Sci 2019;33:723–30. 10.1111/scs.12668
    1. Skinner TC, Joensen L, Parkin T. Twenty-Five years of diabetes distress research. Diabet Med 2020;37:393–400. 10.1111/dme.14157
    1. Dennick K, Sturt J, Speight J. What is diabetes distress and how can we measure it? A narrative review and conceptual model. J Diabetes Complications 2017;31:898–911. 10.1016/j.jdiacomp.2016.12.018
    1. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabet Med 2014;31:764–72. 10.1111/dme.12428
    1. Sturt J, Dennick K, Due-Christensen M, et al. . The detection and management of diabetes distress in people with type 1 diabetes. Curr Diab Rep 2015;15:101. 10.1007/s11892-015-0660-z
    1. Strandberg RB, Graue M, Wentzel-Larsen T, et al. . Longitudinal relationship between diabetes-specific emotional distress and follow-up HbA1c in adults with type 1 diabetes mellitus. Diabet Med 2015;32:1304–10. 10.1111/dme.12781
    1. Fisher L, Hessler D, Polonsky W, et al. . Diabetes distress in adults with type 1 diabetes: prevalence, incidence and change over time. J Diabetes Complications 2016;30:1123–8. 10.1016/j.jdiacomp.2016.03.032
    1. Hessler DM, Fisher L, Polonsky WH, et al. . Diabetes distress is linked with worsening diabetes management over time in adults with type 1 diabetes. Diabet Med 2017;34:1228–34. 10.1111/dme.13381
    1. Hagger V, Hendrieckx C, Cameron F, et al. . Diabetes distress is more strongly associated with HbA1c than depressive symptoms in adolescents with type 1 diabetes: results from diabetes miles Youth-Australia. Pediatr Diabetes 2018;19:840–7. 10.1111/pedi.12641
    1. Fisher L, Polonsky WH, Hessler D. Addressing diabetes distress in clinical care: a practical guide. Diabet Med 2019;36:803–12. 10.1111/dme.13967
    1. Hessler D, Fisher L, Polonsky W, et al. . There is value in treating elevated levels of diabetes distress: the clinical impact of targeted interventions in adults with type 1 diabetes. Diabet Med 2020;37:71–4. 10.1111/dme.14082
    1. Ehrmann D, Kulzer B, Haak T, et al. . Longitudinal relationship of diabetes-related distress and depressive symptoms: analysing incidence and persistence. Diabet Med 2015;32:1264–71. 10.1111/dme.12861
    1. Snoek FJ, Kersch NYA, Eldrup E, et al. . Monitoring of Individual Needs in Diabetes (MIND)-2: follow-up data from the cross-national Diabetes Attitudes, Wishes, and Needs (DAWN) MIND study. Diabetes Care 2012;35:2128–32. 10.2337/dc11-1326
    1. Greenhalgh J, Dalkin S, Gooding K. Functionality and feedback: a realist synthesis of the collation, interpretation and utilisation of patient-reported outcome measures data to improve patient care. health services and delivery research. 318. Southampton (UK: NIHR Journals Library (Health Services and Delivery Research, No. 5.2.), 2017.
    1. International Society for Quality of Life Research . What are your goals for collecting PROs in your clinical practice and what resources are available? Which key barriers require attention? : Aaronson N, Elliott T, Greenhalgh J, . User’s guide to implementing patient-reported outcomes assessment in clinical practice. 2nd ed. Milwaukee, WI, US: International Society for Qualiy of Life Research, 2015: 4–6.
    1. International Society for Qualiy of Life Research . What are your goals for collecting PROs in your clinical practice and what resources are available? Which key barriers require attention? : Chan E, Edwards T, Haywood K, . Implementing patient-reported outcome measures in clinical practice: a companion guide to the ISOQOL user’s guide. 1st ed. Milwaukee, WI, US: International Society for Quality of Life Research, 2018: 2–4.
    1. Porter I, Gonçalves-Bradley D, Ricci-Cabello I, et al. . Framework and guidance for implementing patient-reported outcomes in clinical practice: evidence, challenges and opportunities. J Comp Eff Res 2016;5:507–19. 10.2217/cer-2015-0014
    1. Craig P, Dieppe P, Macintyre S, et al. . Developing and evaluating complex interventions: the new medical Research Council guidance. BMJ 2008;337:a1655. 10.1136/bmj.a1655
    1. Craig P, Petticrew M. Developing and evaluating complex interventions: reflections on the 2008 MRC guidance. Int J Nurs Stud 2013;50:585–7. 10.1016/j.ijnurstu.2012.09.009
    1. Haugstvedt A, Hernar I, Strandberg RB, et al. . Use of patient-reported outcome measures (PROMs) in clinical diabetes consultations: study protocol for the DiaPROM randomised controlled trial pilot study. BMJ Open 2019;9:e024008. 10.1136/bmjopen-2018-024008
    1. Hernar I, Graue M, Richards D, et al. . Electronic capturing of patient-reported outcome measures on a touchscreen computer in clinical diabetes practice (the DiaPROM trial): a feasibility study. Pilot Feasibility Stud 2019;5:29. 10.1186/s40814-019-0419-4
    1. Eldridge SM, Chan CL, Campbell MJ, et al. . Consort 2010 statement: extension to randomised pilot and feasibility trials. BMJ 2016;355:i5239. 10.1136/bmj.i5239
    1. Haugstvedt A, Hernar I, Graue M, et al. . Nurses' and physicians' experiences with diabetes consultations and the use of dialogue tools in the DiaPROM pilot trial: A qualitative study. Diabet Med 2020:e14419. 10.1111/dme.14419
    1. Hernar I, Graue M, Strandberg RB, et al. . Young adults with type 1 diabetes and their experiences with diabetes follow-up and participation in the DiaPROM pilot trial: a qualitative study. Diabet Med 2021:e14535. 10.1111/dme.14535
    1. Thabane L, Ma J, Chu R, et al. . A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol 2010;10:1. 10.1186/1471-2288-10-1
    1. DIPS AS . Supplier of eHealth systems to Norwegian hospitals, 2020. Available:
    1. Polonsky WH, Anderson BJ, Lohrer PA, et al. . Assessment of diabetes-related distress. Diabetes Care 1995;18:754–60. 10.2337/diacare.18.6.754
    1. Welch GW, Jacobson AM, Polonsky WH. The problem areas in diabetes scale. An evaluation of its clinical utility. Diabetes Care 1997;20:760–6. 10.2337/diacare.20.5.760
    1. Welch G, Weinger K, Anderson B, et al. . Responsiveness of the problem areas in diabetes (paid) questionnaire. Diabet Med 2003;20:69–72. 10.1046/j.1464-5491.2003.00832.x
    1. Graue M, Haugstvedt A, Wentzel-Larsen T, et al. . Diabetes-Related emotional distress in adults: reliability and validity of the Norwegian versions of the problem areas in diabetes scale (paid) and the diabetes distress scale (DDS). Int J Nurs Stud 2012;49:174–82. 10.1016/j.ijnurstu.2011.08.007
    1. Polonsky WH, Fisher L, Earles J, et al. . Assessing psychosocial distress in diabetes: development of the diabetes distress scale. Diabetes Care 2005;28:626–31. 10.2337/diacare.28.3.626
    1. Fisher L, Hessler DM, Polonsky WH, et al. . When is diabetes distress clinically meaningful?: establishing cut points for the diabetes distress scale. Diabetes Care 2012;35:259–64. 10.2337/dc11-1572
    1. Topp CW, Østergaard SD, Søndergaard S, et al. . The WHO-5 well-being index: a systematic review of the literature. Psychother Psychosom 2015;84:167–76. 10.1159/000376585
    1. de Wit M, Pouwer F, Gemke RJBJ, et al. . Validation of the WHO-5 well-being index in adolescents with type 1 diabetes. Diabetes Care 2007;30:2003–6. 10.2337/dc07-0447
    1. Halliday JA, Hendrieckx C, Busija L, et al. . Validation of the WHO-5 as a first-step screening instrument for depression in adults with diabetes: Results from Diabetes MILES - Australia. Diabetes Res Clin Pract 2017;132:27–35. 10.1016/j.diabres.2017.07.005
    1. Hajos TRS, Pouwer F, Skovlund SE, et al. . Psychometric and screening properties of the WHO-5 well-being index in adult outpatients with Type 1 or Type 2 diabetes mellitus. Diabet Med 2013;30:e63–9. 10.1111/dme.12040
    1. Rauwerda NL, Tovote KA, Peeters ACTM, et al. . WHO-5 and BDI-II are acceptable screening instruments for depression in people with diabetes. Diabet Med 2018;35:1678–85. 10.1111/dme.13779
    1. Williams GC, McGregor HA, King D, et al. . Variation in perceived competence, glycemic control, and patient satisfaction: relationship to autonomy support from physicians. Patient Educ Couns 2005;57:39–45. 10.1016/j.pec.2004.04.001
    1. STATA Data Analysis and Statistical 16College Station, Texas, USA, 2020STATA. Available:
    1. Siddiqui OI. Methods for computing missing item response in psychometric scale construction. American Journal of Biostatistics 2015;5:1–6. 10.3844/amjbsp.2015.1.6
    1. Fayers P, Machin D. Missing data. : Quality of life : the assessment, analysis and reporting of patient-reported outcomes. 3rd ed. Chichester, West Sussex: Wiley, 2016: 393–427.
    1. Staniszewska S, Brett J, Simera I, et al. . GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. BMJ 2017;358:j3453. 10.1136/bmj.j3453
    1. Mbuagbaw L, Kosa SD, Lawson DO, et al. . The reporting of progression criteria in protocols of pilot trials designed to assess the feasibility of main trials is insufficient: a meta-epidemiological study. Pilot Feasibility Stud 2019;5:120. 10.1186/s40814-019-0500-z
    1. Akl EA, Briel M, You JJ, et al. . Potential impact on estimated treatment effects of information lost to follow-up in randomised controlled trials (LOST-IT): systematic review. BMJ 2012;344:e2809. 10.1136/bmj.e2809
    1. Brewster S, Bartholomew J, Holt RIG, et al. . Non-attendance at diabetes outpatient appointments: a systematic review. Diabet Med 2020;37:1427–42. 10.1111/dme.14241
    1. Hynes L, Byrne M, Dinneen SF, et al. . Barriers and facilitators associated with attendance at hospital diabetes clinics among young adults (15-30 years) with type 1 diabetes mellitus: a systematic review. Pediatr Diabetes 2016;17:509–18. 10.1111/pedi.12198
    1. Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care 2003;41:582–92. 10.1097/01.MLR.0000062554.74615.4C
    1. Skea ZC, Newlands R, Gillies K. Exploring non-retention in clinical trials: a meta-ethnographic synthesis of studies reporting participant reasons for drop out. BMJ Open 2019;9:e021959–e59. 10.1136/bmjopen-2018-021959
    1. Wilding S, Conner M, Sandberg T, et al. . The question-behaviour effect: a theoretical and methodological review and meta-analysis. European Review of Social Psychology 2016;27:196–230. 10.1080/10463283.2016.1245940
    1. Dennick K, Sturt J, Hessler D, et al. . High rates of elevated diabetes distress in research populations: a systematic review and meta-analysis. Int Diabetes Nurs 2015;12:93–107. 10.1080/20573316.2016.1202497
    1. Sturt J, Dennick K, Hessler D, et al. . Effective interventions for reducing diabetes distress: systematic review and meta-analysis. Int Diabetes Nurs 2015;12:40–55. 10.1179/2057332415Y.0000000004
    1. Fisher L, Hessler D, Polonsky WH, et al. . T1-REDEEM: a randomized controlled trial to reduce diabetes distress among adults with type 1 diabetes. Diabetes Care 2018;41:1862–9. 10.2337/dc18-0391
    1. Hendrieckx C, Halliday J, Beeney L. Diabetes distress. : Diabetes and emotional health: a practical guide for healthcare professionals supporting adults with type 1 and type 2 diabetes. 2nd ed. London: Diabetes UK, 2019: 53–70.
    1. Griffiths F, Bryce C, Cave J, et al. . Timely digital Patient-Clinician communication in specialist clinical services for young people: a mixed-methods study (the LYNC study). J Med Internet Res 2017;19:e102. 10.2196/jmir.7154
    1. Moore GF, Audrey S, Barker M, et al. . Process evaluation of complex interventions: medical Research Council guidance. BMJ 2015;350:h1258. 10.1136/bmj.h1258

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