Sensitivity of three widely used questionnaires for measuring psychological distress among patients with type 2 diabetes mellitus

Patient-reported outcome measures for assessing health-related quality of life in people with type 2 diabetes: A systematic review

Patient-Reported Outcome Measures (PROMs) are important tools to assess outcomes relevant to patients, with Health-Related Quality Of Life (HRQOL) as an important construct to be measured. Many different HRQOL PROMs are used in the type 2 diabetes field, however a complete overview of these PROMs is currently lacking. We therefore aimed to systematically describe and classify the content of all PROMs that have specifically been developed or validated to measure (aspects of) HRQOL in people with type 2 diabetes. A literature search was performed in PubMed and EMBASE until 31 December 2021. Studies on the development or validation of a PROM measuring HRQOL, or aspects of HRQOL, in people with type 2 diabetes were included. Title and abstract and full-text screening were conducted by two independent researchers and data extraction was performed independently by one of the researchers. Data were extracted on language in which the PROM was developed, target population, construct(s) being measured, names of (sub)scales and number of items per (sub)scale. In addition, all PROMs and subscales were classified according to specific aspects of HRQOL based on the Wilson & Cleary model (symptom status, functional status, general health perceptions) to aid researchers in PROM selection. In total 220 studies were identified that developed or validated PROMs that measure (aspects of) HRQOL in people with type 2 diabetes. Of the 116 unique HRQOL PROMs, 91 (of the subscales) measured symptom status, 60 measured functional status and 26 measured general health perceptions. In addition, 16 of the PROMs (subscales) measured global quality of life. 61 of the 116 PROMs (subscales) also include characteristics of the individual (e.g. aspects of personality, coping) or environment (e.g. social or financial support) and patient-reported experience measures (PREMs, e.g. measure of a patient's perception of their personal experience of the healthcare they have received, e.g. treatment satisfaction), which are not part of the HRQOL construct. Only 9 of the 116 PROMs measure all aspects of HRQOL based on the Wilson & Cleary model. Finally, 8 of the 116 PROMs stating to measure HRQOL, measured no HRQOL construct. In conclusion, a large number of PROMs are available for people with type 2 diabetes, which intend to measure (aspects of) HRQOL. These PROMs measure a large variety of (sub)constructs, which are not all HRQOL constructs, with a small amount of PROMs not measuring HRQOL at all. There is a need for consensus on which aspects of HRQOL should be measured in people with type 2 diabetes and which PROMs to use in research and daily practice. PROSPERO: CRD42017071012. COMET database: http://www.comet-initiative.org/studies/details/956 .

A Digital Lifestyle Program in Outpatient Treatment of Type 2 Diabetes: A Randomized Controlled Study

BACKGROUND

Lifestyle is important in type 2 diabetes mellitus (T2DM). This study's aim was to investigate whether a healthy-lifestyle-supporting smartphone application could affect treatment outcomes at an endocrinology outpatient clinic.

METHODS

Consecutively invited patients were randomly assigned to an intervention or control group after age and gender stratification. In addition to standard care, intervention group participants used a smartphone application to access a lifestyle program (SidekickHealth) through which they received personalized recommendations and education about healthy lifestyles. Tests at baseline and every other month for six months included body weight and blood tests for glycated hemoglobin (HbA1c) and blood lipids, as well as questionnaires about distress related to diabetes, health-related quality of life, depression, and anxiety. Statistics included comparisons both within and between groups.

RESULTS

A total of 37 patients (23 women) were included, whereof 30 finished, 15 in each group (19% dropout); the average age was 51.2 ± 10.6 (25-70) years. No significant differences emerged between groups, but within the intervention group, there was a significant decrease in HbA1c from 61 ± 21.4 to 52.7 ± 15.2 mmol/mol, in disease-specific distress from 19.5 ± 16.5 to 11.7 ± 13.4, and in anxiety symptoms from 5.4 ± 4.0 to 4.1 ± 3.8. No significant changes occurred within the control group. The application usage was most frequent during the first months and differed interpersonally.

CONCLUSIONS

Our results indicate that the SidekickHealth digital lifestyle program could potentially enhance outpatient treatment in T2DM, in terms of both glycemic control and psychological well-being but larger confirmative studies are needed.

Frequência de sofrimento emocional é elevada em pessoas com diabetes assistidas na atenção primária

Introdução: Pessoas com diabetes podem sofrer com o estresse da doença e apresentar sentimentos como culpa, raiva, medo e depressão, que caracterizam o Sofrimento Emocional Específico da Diabetes. Objetivo: estimar a frequência desse sofrimento e seus fatores associados em pessoas assistidas na atenção primária em Blumenau, Santa Catarina. Métodos: Trata-se de estudo transversal. Pessoas com diabetes assistidas por 4 equipes de saúde da família (n=196) responderam ao questionário “Problems Areas in Diabetes”, que apresenta 20 questões em 4 subdimensões, além de questões sobre suas características sociodemográficas (sexo, idade, escolaridade) e clínicas (tempo de doença, uso de insulina e medicação antidepressiva). Estimou-se os escores de sofrimento geral e subdimensões com base na soma das respostas em escala de 0 (melhor) a 100 (pior). Mediu-se a frequência do sofrimento emocional grave (escore >40) e sua associação com as variáveis de estudo por regressão logística não condicional. Resultados: Participaram 196 pessoas, 58,2% eram mulheres, 26,2% faziam uso de insulina e 20,6% de antidepressivos. A idade média foi de 61,6 anos, o tempo médio de tratamento de diabetes foi 9,5 anos. O escore médio de sofrimento emocional foi de 33,6 (dp=27,6) e mediana de 23,8. 36,2% dos participantes apresentaram sofrimento emocional grave. O sofrimento emocional grave se mostrou principalmente entre pessoas com 19 a 64 anos (OR=2,1, IC95%1,1 - 4,1), com tempo de doença de 2 a 5 anos (OR=6,4; IC95% 1,1 - 36,1) e 5 anos e mais (OR=5,4; IC95% 1,1 - 28,8) e em uso de medicação antidepressiva (OR=2,8 IC95% 1,3 - 6,0). Conclusão: Mais de um terço das pessoas com diabetes tem sofrimento emocional grave, marcadamente os adultos com mais tempo de doença e com tratamento para depressão. Sugere-se que essas pessoas tenham seu cuidado priorizado pelas equipes de saúde na atenção primária.

How Does Diet Change with A Diagnosis of Diabetes? Protocol of the 3D Longitudinal Study

Diet quality influences glycemic control in people with type 2 diabetes (T2D), impacting their risk of complications. While there are many cross-sectional studies of diet and diabetes, there is little understanding of the extent to which people with T2D change their diet after diagnosis and of the factors that impact those changes. This paper describes the rationale for and design of the 3D longitudinal Study which aims to: (i) describe diet quality changes in the 12 months following T2D diagnosis, (ii) identify the demographic, physical and psychosocial predictors of sustained improvements in diet quality and glycemic control, and (iii) identify associations between glycemic control and diet quality in the 12 months following diagnosis. This cohort study will recruit adults registered with the Australian National Diabetes Services Scheme who have been recently diagnosed with T2D. Participants will be involved in five purposefully developed telephone surveys, conducted at 3 monthly intervals over a 12-month period. Diet quality will be determined using a 24-h dietary recall at each data collection point and the data will be scored using the Dietary Approaches to Stop Hypertension (DASH) diet-quality tool. This study is the first dedicated to observing how people newly diagnosed with T2D change their diet quality over time and the predictors of sustained improvements in diet and glycemic control.

How to Measure Population Health: An Exploration Toward an Integration of Valid and Reliable Instruments

Population health management initiatives are introduced to transform health and community services by implementing interventions that combine various services and address the continuum of health and well-being of populations. Insight is required into a population's health to evaluate implementation of these initiatives. This study aims to determine the performance of commonly used instruments for measuring a population's experienced health and explores the assessed concepts of population health. Survey-based Short Form 12, version 2 (SF12, health status), Patient Activation Measure 13 (PAM13), and Kessler 10 (K10, psychological distress) data of 3120 respondents was used. Floor/ceiling effects were studied using descriptive statistics. Validity was assessed using factor and discriminant analyses, and reliability was assessed using Cronbach α. Finally, to study covered concepts, exploratory factor analyses (EFAs) were conducted, which included additional surveyed characteristics. The SF12 and PAM13 sum scores showed acceptable averages and distributions, while results of the K10 indicated a floor effect. SF12 and K10 measured their expected constructs, while PAM13 did not. The EFA of PAM13 displayed 1 instead of the expected 4 constructs. Reliability was good for all instruments (α 0.89-0.93). The overall EFA identified 4 concepts: mental, physical ability, lifestyle, and self-management. SF12 and PAM13, combined with lifestyle characteristics, are shown to provide insightful information to measure the physical, mental, lifestyle, and self-management concepts of population health. Future research should include additional instruments that cover new aspects introduced by recent definitions of health.

Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus

BACKGROUND

Many adults with type 2 diabetes mellitus (T2DM) experience a psychosocial burden and mental health problems associated with the disease. Diabetes-related distress (DRD) has distinct effects on self-care behaviours and disease control. Improving DRD in adults with T2DM could enhance psychological well-being, health-related quality of life, self-care abilities and disease control, also reducing depressive symptoms.

OBJECTIVES

To assess the effects of psychological interventions for diabetes-related distress in adults with T2DM.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, BASE, WHO ICTRP Search Portal and ClinicalTrials.gov. The date of the last search was December 2014 for BASE and 21 September 2016 for all other databases.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) on the effects of psychological interventions for DRD in adults (18 years and older) with T2DM. We included trials if they compared different psychological interventions or compared a psychological intervention with usual care. Primary outcomes were DRD, health-related quality of life (HRQoL) and adverse events. Secondary outcomes were self-efficacy, glycosylated haemoglobin A1c (HbA1c), blood pressure, diabetes-related complications, all-cause mortality and socioeconomic effects.

DATA COLLECTION AND ANALYSIS

Two review authors independently identified publications for inclusion and extracted data. We classified interventions according to their focus on emotion, cognition or emotion-cognition. We performed random-effects meta-analyses to compute overall estimates.

MAIN RESULTS

We identified 30 RCTs with 9177 participants. Sixteen trials were parallel two-arm RCTs, and seven were three-arm parallel trials. There were also seven cluster-randomised trials: two had four arms, and the remaining five had two arms. The median duration of the intervention was six months (range 1 week to 24 months), and the median follow-up period was 12 months (range 0 to 12 months). The trials included a wide spectrum of interventions and were both individual- and group-based.A meta-analysis of all psychological interventions combined versus usual care showed no firm effect on DRD (standardised mean difference (SMD) -0.07; 95% CI -0.16 to 0.03; P = 0.17; 3315 participants; 12 trials; low-quality evidence), HRQoL (SMD 0.01; 95% CI -0.09 to 0.11; P = 0.87; 1932 participants; 5 trials; low-quality evidence), all-cause mortality (11 per 1000 versus 11 per 1000; risk ratio (RR) 1.01; 95% CI 0.17 to 6.03; P = 0.99; 1376 participants; 3 trials; low-quality evidence) or adverse events (17 per 1000 versus 41 per 1000; RR 2.40; 95% CI 0.78 to 7.39; P = 0.13; 438 participants; 3 trials; low-quality evidence). We saw small beneficial effects on self-efficacy and HbA1c at medium-term follow-up (6 to 12 months): on self-efficacy the SMD was 0.15 (95% CI 0.00 to 0.30; P = 0.05; 2675 participants; 6 trials; low-quality evidence) in favour of psychological interventions; on HbA1c there was a mean difference (MD) of -0.14% (95% CI -0.27 to 0.00; P = 0.05; 3165 participants; 11 trials; low-quality evidence) in favour of psychological interventions. Our included trials did not report diabetes-related complications or socioeconomic effects.Many trials were small and were at high risk of bias for incomplete outcome data as well as possible performance and detection biases in the subjective questionnaire-based outcomes assessment, and some appeared to be at risk of selective reporting. There are four trials awaiting further classification. These are parallel RCTs with cognition-focused and emotion-cognition focused interventions. There are another 18 ongoing trials, likely focusing on emotion-cognition or cognition, assessing interventions such as diabetes self-management support, telephone-based cognitive behavioural therapy, stress management and a web application for problem solving in diabetes management. Most of these trials have a community setting and are based in the USA.

AUTHORS' CONCLUSIONS

Low-quality evidence showed that none of the psychological interventions would improve DRD more than usual care. Low-quality evidence is available for improved self-efficacy and HbA1c after psychological interventions. This means that we are uncertain about the effects of psychological interventions on these outcomes. However, psychological interventions probably have no substantial adverse events compared to usual care. More high-quality research with emotion-focused programmes, in non-US and non-European settings and in low- and middle-income countries, is needed.

Factors associated with diabetes-related distress over time among patients with T2DM in a tertiary hospital in Singapore

BACKGROUND

Persistent diabetes-related distress (DRD) is experienced by patients with Type 2 Diabetes Mellitus. Knowing factors associated with persistent DRD will aid clinicians in prioritising interventions efforts.

METHODS

A total of 216 patients were recruited from a tertiary hospital in Singapore, an Asian city state, and followed for 1.5 years (2011-2014). Data was collected by self-completed questionnaires assessing DRD (measured by the Problem Areas in Diabetes score) and other psychosocial aspects such as social support, presenteeism, depression, health-related quality of life (HRQoL) and excessive daytime sleepiness (EDS) at three time points. Clinical data (body-mass-index and glycated haemoglobin) was obtained from medical records. Change score was calculated for each clinical and psychosocial variable to capture changes in these variables from baseline. Generalized Linear Model with Generalized Estimating Equation method was used to assess whether baseline and change scores in clinical and psychosocial are associated with DRD over time.

RESULTS

Complete data was available for 73 patients, with mean age 44 (SD 12.5) years and 67% males. Persistent DRD was experienced by 21% of the patients. In the final model, baseline HRQoL (OR = 0.56, p < 0.05) and change score of EDS (OR = 1.22, p < 0.05) was significantly associated with DRD over time.

CONCLUSIONS

EDS might be a surrogate marker for persistent DRD and should be explored in larger samples of population to confirm the findings from this study.

Factors associated with psychological distress, behavioral impact and health-related quality of life among patients with type 2 diabetes mellitus

BACKGROUND

Data on psychological distress (DIS), behavioral impact (BI) and health-related quality of life (HRQoL) are important yet lacking among Asian patients with Type 2 diabetes mellitus (T2DM). We aim to identify factors associated with DIS, BI and HRQoL among T2DM to better understand patient needs.

METHODS

DIS was measured with Diabetes Health Profile (DHP-18) Psychological Distress (DHP-PD) subscale, Problem Areas in Diabetes (PAID) and Kessler-10 (K10), BI with DHP-18 Barriers to Activity and Disinhibited Eating subscales and HRQoL with Audit of Diabetes-Dependent Quality of Life. Multiple linear regression analyses were performed to evaluate the associations between these outcomes and patient demographic, socioeconomic status, glycated hemoglobin (HbA1C) and comorbidities.

RESULTS

213 T2DM patients (mean (SD) age: 45.0 (12.1) years, mean (SD) HbA1C: 8.3% (1.9%) and 70.0% reported at least one comorbidity) were evaluated. Poorer glycemic control was significantly associated with higher DHP-PD, PAID and worse HRQoL. Taking oral hypoglycemic agents plus insulin was independently associated with Barrier to Activity and Disinhibited Eating.

CONCLUSION

Poorer glycemic control was only associated with diabetes-related distress (measured by DHP-PD and PAID) but not major depressive disorder (measured by K10). It may be more appropriate to screen for diabetes-related distress rather than major depressive disorder for patients with T2DM.