What is diabetes distress and how can we measure it? A narrative review and conceptual model

https://doi.org/10.1016/j.jdiacomp.2016.12.018Get rights and content

Abstract

Background

Diabetes distress is the negative emotional impact of living with diabetes. It has tangible clinical importance, being associated with sub-optimal self-care and glycemic control. Diabetes distress has been operationalized in various ways and several measures exist. Measurement clarity is needed for both scientific and clinical reasons.

Objectives

To clarify the conceptualization and operationalization of diabetes distress, identify and distinguish relevant measures, and evaluate their appropriateness for this purpose.

Results

Six measures were identified: Problem Areas in Diabetes (PAID) scale, Diabetes Distress Scale (DDS); Type I Diabetes Distress Scale (T1-DDS), Diabetes-specific Quality of Life Scale—Revised (DSQoLs-R) ‘Burden and Restrictions—Daily Hassles’ sub-scale, Well-being Questionnaire 28 (W-BQ 28) ‘Diabetes Well-being’ sub-scale, and Illness Perceptions Questionnaire—Revised (IPQ-R) ‘Emotional Representations’ sub-scale. Across these measures a broad spectrum of diabetes distress is captured, including distress associated with treatment regimen, food/eating, future/complications, hypoglycemia, social/interpersonal relationships, and healthcare professionals. No single measure appears fully comprehensive. Limited detail of the qualitative work informing scale design is reported, raising concerns about content validity.

Conclusions

Across the available measures diabetes distress is seemingly comprehensively assessed and measures should be considered in terms of their focus and scope to ensure the foci of interventions are appropriately targeted.

Introduction

Living with diabetes is complex and involves various self-care activities, e.g., medication taking, healthy eating, carbohydrate counting, physical activity, checking blood glucose, and problem solving.1 These self-care behaviors are required to keep glycated hemoglobin (HbA1c) in target range, to prevent/delay onset of devastating complications.2 The burden of self-management, living with diabetes-related complications (or the risk of their development), and managing difficult social situations, has the potential to cause considerable emotional distress. In the mid-1990s, the emotional impact of living with diabetes was brought to the fore, with introduction of the concept of ‘diabetes distress’ (DD).3 DD emerged from research on stress and coping, and emotional regulation in response to specific acute or chronic stressors, which suggests that emotions can emerge from specific situational contexts and that emotional distress is a response to perceptions of health threats balanced against an appraisal of available coping resources.4

In recent years, research into DD has gained significant traction. Around one quarter of UK adults with diabetes experience elevated, or severe, DD at any given time.5, 6 Similar rates are reported elsewhere in Europe,7 Australia8 and the USA.9 Almost 50% of people experience elevated DD over an 18-month period.9 It should be noted, though not the focus of this review, that DD is additionally well-documented among partners of those with diabetes,10 children and adolescents with diabetes11 and parents of children and adolescents with diabetes.12 Indeed, measures of DD specific to the needs of these populations have been developed.10, 13, 14

DD is positively associated with HbA1c, such that fluctuations in each correspond over time,15, 16, 17, 18 and reductions in DD are accompanied by clinically significant improvements in HbA1c.19, 20 DD also impacts upon certain self-management behaviors.15, 17These relationships have primarily been associative, however, and hence do not indicate causality. Individuals with high DD are less likely to participate in educational and self-management interventions,21 and exhibit less improvement in HbA1c following such interventions.22 Conversely, when interventions target DD, individuals with elevated DD engage to a greater extent and this results in improved DD, self-management and HbA1c.23 This emerging evidence has prompted calls for further interventions to target DD.17

From a clinical perspective, measurement clarity is crucial to ensure appropriate identification of need and tailoring of care. From a scientific perspective, it is necessary to ensure valid operationalization of constructs, maximum responsiveness of measures to enable demonstration of effective interventions, and appropriate interpretation of data.24 US and European regulatory bodies have released guidance on the development and use of patient-reported outcome measures (PROMs), describing the scientific rigor with which such measures must be developed to enable meaningful measurement and outcomes evaluation.24, 25 First among the issues discussed is content validity, i.e., the extent to which a questionnaire measures what is claimed. A ‘conceptual model’ provides a representation of the relevant concepts that comprise the construct, and the relationships among the concepts. It should be developed, following a systematic literature review and qualitative work with patients and health professionals, to inform the structure and content (items) of a new questionnaire.

In the academic literature, the concept of DD has been assumed to be relatively simple. However, definition and measurement have been circular. DD is defined largely with reference to the issues measured by the Problem Areas in Diabetes (PAID) scale,3 which is widely regarded as the first PROM to assess DD in adults. Thus, the PAID is widely considered a suitable measure of DD. The more recently developed Diabetes Distress Scale (DDS)26 is also gaining traction as a measure of DD in adults. Recent research has suggested that there are important content differences between the PAID and the DDS.27 Until the emergence of the DDS, there had been little discussion about what comprises DD or of the rationale for questionnaire selection. Indeed, it is unclear whether other questionnaires might also be suitable for assessing DD.

Furthermore, while many clinicians/researchers refer to the PAID and DDS (seemingly) appropriately as measures of DD, others have used broader terminology, such as (diabetes-specific) quality of life28 and diabetes-dependent impairment.29 Similarly, measures assessing other constructs (e.g., the ATT-39, which assesses diabetes attitudes and beliefs) have been reported as measures of DD.30, 31 Beyond operationalizing DD with the PAID or the DDS, a common understanding of how to conceptualize DD and differentiate it from other commonly assessed constructs has not yet emerged in the literature.

Previous reviews have disentangled the conceptualization and measurement of other diabetes-specific PROMs.32, 33, 34 Recently, researchers have also sought to clarify the conceptual distinction between DD and depression.4, 16, 17, 31 To date there has been no attempt to derive a conceptual model of DD, identify and distinguish measures of DD from the vast array of other diabetes-specific PROMs, and explore their validity for this purpose.

Thus, our overall aims were to: a) conceptualize and operationalize DD; b) identify measures of the broad concept of DD by examining their face validity in terms of measuring DD (i.e., the extent to which a measure looks as though it measures DD); and c) review the content validity of the identified measures in terms of assessing DD (i.e., the aspects of DD covered and the extent to which it is likely that each measure captures DD comprehensively) with a view to offering guidance on the context-specific selection of measures.

Section snippets

Materials and methods

We began by considering existing definitions of DD in order to derive a common understanding of its conceptualization and operationalization. Several definitions3, 4, 15, 18, 30, 33, 35 have been applied over the past 20 years, ranging from a brief early description (e.g., “Breadth of emotional responses to diabetes” (p755)3 to more recent detailed explanations (e.g., “Significant negative psychological reactions that are specific to one's diabetes diagnosis, potential or actual complications,

Identification and selection of measures

Fig. 1 illustrates the selection process in a flow diagram. Fifty-three diabetes-specific PROMs for adults were identified, of which 37 had evidence of psychometric validation. Twenty-nine of these were measures of the personal impact of diabetes, of which 19 met our citation criteria and could be obtained. Citations, and the results from the citation search, for the excluded measures are available (online Appendix). The 19 short-listed measures assessed comprise 91 single-factor scales or

Discussion

We identified three full measures and three sub-scales assessing DD. A number of other measures capture a very narrow aspect of this construct (e.g., hypoglycemia-related distress), and many other measures elicit a cognitive reflection on, rather than emotional reaction to, diabetes (i.e., items elicit how they think rather than how they feel about diabetes).

The identified measures capture many aspects of DD as a whole, yet there is marked variability between them in terms of their focus and

Conclusions

We have presented a conceptualization and operationalization of DD, isolated six appropriate measures of DD, distinguished them from other related measures, and offered guidance on their context-specific selection. Further research may be required to optimize the content validity of the measures identified in terms of assessing DD to meet international standards for use in clinical trials. Across the available measures, though, DD is seemingly comprehensively assessed and measures should be

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.JSt and KD were supported by core funding provided by Florence Nightingale Faculty of Nursing and Midwifery, King's College London. JSp is supported by the core funding provided to the Australian Centre for Behavioural Research in Diabetes by Diabetes Victoria and Deakin University.

The following is the supplementary data related to this article.

Acknowledgments

We would like to thank Dr. William Polonsky (Behavioral Diabetes Institute and University of California, San Diego), Dr. Lawrence Fisher (University of California, San Francisco) and Dr. Gary Welch (Baystate Health and Medical Centre, USA) for their helpful comments on an earlier draft of this paper.

References (80)

  • M. Peeples et al.

    Evolution of the American Association of Diabetes Educators' diabetes education outcomes project

    Diabetes Educ

    (2007)
  • American Diabetes Association

    Implications of the diabetes control and complications trial

    Diabetes Care

    (2003)
  • W.H. Polonsky et al.

    Assessment of diabetes-related distress

    Diabetes Care

    (1995)
  • L. Fisher et al.

    The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision

    Diabet Med

    (2014)
  • K. Dennick et al.

    High rates of elevated diabetes distress in research populations: a systematic review and meta-analysis

    Int Diabetes Nurs

    (2016)
  • J. Sturt et al.

    The detection and management of diabetes distress in people with type 1 diabetes

    Curr Diab Rep

    (2015)
  • C. Stoop et al.

    Diabetes-specific emotional distress in people with type 2 diabetes: a comparison between primary and secondary care

    Diabet Med

    (2014)
  • J. Speight et al.

    Diabetes MILES—Australia 2011 survey report

  • L. Fisher et al.

    A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with type 2 diabetes

    Diabet Med

    (2008)
  • W.H. Polonsky et al.

    Emotional distress in the partners of type 1 diabetes adults: worries about hypoglycemia and other key concerns

    Diabetes Technol Ther

    (2016)
  • V. Hagger et al.

    Diabetes distress among adolescents with type 1 diabetes: a systematic review

    Curr Diab Rep

    (2016)
  • Johnson, L. N. (2013). Parent distress in life with a child with type 1 diabetes. (PhD), University of South Florida....
  • J.T. Markowitz et al.

    Re-examining a measure of diabetes-related burden in parents of young people with type 1 diabetes: the Problem Areas in Diabetes Survey—Parent Revised version (PAID-PR)

    Diabet Med

    (2012)
  • J. Weissberg-Benchell et al.

    Diabetes-specific emotional distress among adolescents: feasibility, reliability, and validity of the problem areas in diabetes-teen version

    Pediatr Diabetes

    (2011)
  • J.E. Aikens

    Prospective associations between emotional distress and poor outcomes in type 2 diabetes

    Diabetes Care

    (2012)
  • L. Fisher et al.

    Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses

    Diabetes Care

    (2010)
  • L. Fisher et al.

    Clinical depression versus distress among patients with type 2 diabetes: not just a question of semantics

    Diabetes Care

    (2007)
  • A. Schmitt et al.

    Negative association between depression and diabetes control only when accompanied by diabetes-specific distress

    J Behav Med

    (2015)
  • S.E. Zagarins et al.

    Improvement in glycemic control following a diabetes education intervention is associated with change in diabetes distress but not change in depressive symptoms

    J Behav Med

    (2012)
  • S.J. Fonda et al.

    Changes in diabetes distress related to participation in an Internet-based diabetes care management program and glycemic control

    J Diabetes Sci Technol

    (2009)
  • J. Sturt et al.

    What charaterises diabetes distress and it's resolution? A documentary analysis

    Int Diabetes Nurs

    (2015)
  • U.S. Department of Health and Human Services

    Guidance for industry—patient-reported outcome measures: use in medical product development to support labeling claims

  • European Medicines Agency Committee for Medicinal Products for Human Use

    Reflection paper on the regulatory guidance for the use of health-related quality of life (HRQL) measures in the evaluation of medicinal products

  • W.H. Polonsky et al.

    Assessing psychosocial distress in diabetes: development of the diabetes distress scale

    Diabetes Care

    (2005)
  • A. Schmitt et al.

    How to assess diabetes distress: comparison of the Problem Areas in Diabetes Scale (PAID) and the Diabetes Distress Scale (DDS)

    Diabet Med

    (2015)
  • T.S. Tang et al.

    Social support, quality of life, and self-care behaviors among African Americans with type 2 diabetes

    Diabetes Educ

    (2008)
  • K. Kempf et al.

    Autonomous exercise game use improves metabolic control and quality of life in type 2 diabetes patients: a randomized controlled trial

    BMC Endocr Disord

    (2013)
  • S.A. Esbitt et al.

    Disentangling clinical depression from diabetes-specific distress: making sense of the mess we've made

  • A.M. Garratt et al.

    Patient-assessed health outcome measures for diabetes: a structured review

    Diabet Med

    (2002)
  • W.H. Polonsky

    Understanding and assessing diabetes-specific quality of life

    Diabetes Spectr

    (2000)
  • Cited by (91)

    • Diabetes and mental health

      2023, Encyclopedia of Mental Health, Third Edition: Volume 1-3
    View all citing articles on Scopus

    Conflicts of interest: None.

    1

    Present address: Research Department of Clinical, Educational and Health Psychology, Research Department of Clinical, Educational and Health Psychology University College London, Room 209, Hunter Street Health Centre, 8 Hunter Street, London, WC1N 1BN.

    View full text