Assessment of Effect of Diabetes on Health-Related Quality of Life in Patients with Coronary Artery Disease Using the EQ-5D Questionnaire

Patients' perspective of quality-of-care and its correlation to quality-of-life following spontaneous coronary artery dissection

AIMS

Spontaneous coronary artery dissection (SCAD) is an under-recognized cause of myocardial infarction. We aimed to investigate SCAD survivors' perceptions of their quality-of-care and its relationship to quality-of-life.

METHODS AND RESULTS

An anonymous survey was distributed online to SCAD survivors involved in Australian SCAD support groups, with 172 (95.3% female, mean age 52.6 ± 9.2 years) participants in the study. The survey involved assessment of quality-of-life using a standardized questionnaire (EQ-5DTM-3L). Respondents rated the quality-of-care received during their hospital admission for SCAD with a median of 8/10 [interquartile range (IQR) 7-10]. Respondents ≤ 50 years vs. >50 years were more likely to perceive that their symptoms were not treated seriously as a myocardial infarction (χ2 = 4.127, df = 1, P < 0.05). Participants rated clinician's knowledge of SCAD with a median of 4/10 (IQR 2-8) and 7/10 (IQR 3-9) for Emergency and Cardiology clinicians, respectively (P < 0.05). The internet was the most selected source (45.4%) of useful SCAD information. The mean EQ-5DTM summary index was 0.79 (population norm 0.87). A total of 47.2% of respondents reported a mental health condition diagnosis, with 36% of these diagnosed after their admission with SCAD. Quality-of-life was significantly associated with perceived quality-of-care: EQ-5DTM index/(1-EQ-5DTM index) increased by 13% for each unit increase in quality-of-care after adjusting for age and comorbidities (P < 0.001).

CONCLUSION

While SCAD survivors rated their overall hospital care highly, healthcare providers' knowledge of SCAD was perceived to be poor, and the most common source of SCAD information was the internet. Mental health conditions were common, and a significant association was observed between perceived quality-of-care and SCAD survivors' quality-of-life.

Development of an EQ-5D Value Set for India Using an Extended Design (DEVINE) Study: The Indian 5-Level Version EQ-5D Value Set

OBJECTIVES

This study aimed to develop the Indian 5-level version EQ-5D (EQ-5D-5L) value set, which is a key input in health technology assessment for resource allocation in healthcare.

METHODS

A cross-sectional survey using the EuroQol Group's Valuation Technology was undertaken in a representative sample of 3548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique. The participants were interviewed using a computer-assisted personal interviewing technique. This study adopted a novel extended EuroQol Group's Valuation Technology design that included 18 blocks of 10 composite time trade-off (c-TTO) tasks, comprising 150 unique health states, and 36 blocks of 7 discrete choice experiment (DCE) tasks, comprising 252 DCE pairs. Different models were explored for their predictive performance. Hybrid modeling approach using both c-TTO and DCE data was used to estimate the value set.

RESULTS

A total of 2409 interviews were included in the analysis. The hybrid heteroscedastic model with censoring at -1 combining c-TTO and DCE data yielded the most consistent results and was used for the generation of the value set. The predicted values for all 3125 health states ranged from -0.923 to 1. The preference values were most affected by the pain/discomfort dimension.

CONCLUSIONS

This is the largest EQ-5D-5L valuation study conducted so far in the world. The Indian EQ-5D-5L value set will promote the effective conduct of health technology assessment studies in India, thereby generating credible evidence for efficient resource use in healthcare.

Patient-reported outcomes for diabetes and hypertension care in low- and middle-income countries: A scoping review

INTRODUCTION

Patient-reported outcome measures (PROMs) assess patients' perspectives on their health status, providing opportunities to improve the quality of care. While PROMs are increasingly used in high-income settings, limited data are available on PROMs use for diabetes and hypertension in low-and middle-income countries (LMICs). This scoping review aimed to determine how PROMs are employed for diabetes and hypertension care in LMICs.

METHODS

We searched PubMed, EMBASE, and ClinicalTrials.gov for English-language studies published between August 2009 and August 2019 that measured at least one PROM related to diabetes or hypertension in LMICs. Full texts of included studies were examined to assess study characteristics, target population, outcome focus, PROMs used, and methods for data collection and reporting.

RESULTS

Sixty-eight studies met the inclusion criteria and reported on PROMs for people diagnosed with hypertension and/or diabetes and receiving care in health facilities. Thirty-nine (57%) reported on upper-middle-income countries, 19 (28%) reported on lower-middle-income countries, 4 (6%) reported on low-income countries, and 6 (9%) were multi-country. Most focused on diabetes (60/68, 88%), while 4 studies focused on hypertension and 4 focused on diabetes/hypertension comorbidity. Outcomes of interest varied; most common were glycemic or blood pressure control (38), health literacy and treatment adherence (27), and acute complications (22). Collectively the studies deployed 55 unique tools to measure patient outcomes. Most common were the Morisky Medication Adherence Scale (7) and EuroQoL-5D-3L (7).

CONCLUSION

PROMs are deployed in LMICs around the world, with greatest reported use in LMICs with an upper-middle-income classification. Diabetes PROMs were more widely deployed in LMICs than hypertension PROMs, suggesting an opportunity to adapt PROMs for hypertension. Future research focusing on standardization and simplification could improve future comparability and adaptability across LMIC contexts. Incorporation into national health information systems would best establish PROMs as a means to reveal the effectiveness of person-centered diabetes and hypertension care.

Diabetes association with self-reported health, resource utilization, and prognosis post-myocardial infarction

Background

Diabetes mellitus (DM) is associated with increased cardiovascular (CV) risk. We compared health‐related quality of life (HRQoL), healthcare resource utilization (HRU), and clinical outcomes of stable post‐myocardial infarction (MI) patients with and without DM.

Hypothesis

In post‐MI patients, DM is associated with worse HRQoL, increased HRU, and worse clinical outcomes.

Methods

The prospective, observational long‐term risk, clinical management, and healthcare Resource utilization of stable coronary artery disease study obtained data from 8968 patients aged ≥50 years 1 to 3 years post‐MI (369 centers; 25 countries). Patients with ≥1 of the following risk factors were included: age ≥65 years, history of a second MI >1 year before enrollment, multivessel coronary artery disease, creatinine clearance ≥15 and <60 mL/min, and DM treated with medication. Self‐reported health status was assessed at baseline, 1 and 2 years and converted to EQ‐5D scores. The main outcome measures were baseline HRQoL and HRU during follow‐up.

Results

DM at enrollment was 33% (2959 patients, 869 insulin treated). Mean baseline EQ‐5D score (0.86 vs 0.82; P < .0001) was higher; mean number of hospitalizations (0.38 vs 0.50, P < .0001) and mean length of stay (LoS; 9.3 vs 11.5; P = .001) were lower in patients without vs with DM. All‐cause death and the composite of CV death, MI, and stroke were significantly higher in DM patients, with adjusted 2‐year rate ratios of 1.43 (P < .01) and 1.55 (P < .001), respectively.

Conclusions

Stable post‐MI patients with DM (especially insulin treated) had poorer EQ‐5D scores, higher hospitalization rates and LoS, and worse clinical outcomes vs those without DM. Strategies focusing specifically on this high‐risk population should be developed to improve outcomes.

Trial registration

ClinicalTrials.gov: NCT01866904 (https://clinicaltrials.gov).

Health-related quality of life and sleep quality among North Indian type 2 diabetes mellitus patients: evidence from a cross-sectional study

OBJECTIVE

The objective of this study is to measure the relationship between sleep quality and health-related quality of life (HRQOL), in Indian population with type 2 diabetes mellitus (T2DM).

METHODS

A cross-sectional study, included a total of 300 patients with T2DM. All participants were responding to the Pittsburgh Sleep Quality Index (PSQI) and European Quality of Life-5 Dimensions Questionnaire (EQ-5D). A PSQI global score ≥5 was defined as poor sleep quality. EQ-5D visual analogue scale (VAS), determining the overall health status. Logistic regression analysis was used to examine the association between PSQI and EQ-5D. All the study data were analysed using the SPSS software version 20.0. Values of p < 0.05 were considered statistically significant.

RESULTS

The mean age of included participants were 55.29. Majority of the participants (55.3%) were identified as "poor sleepers" and female (31.3%) contributing higher proportion. Poor sleepers had significantly lower the HRQoL (p < 0.001). After adjustment, poor sleep quality was significantly associated with a lower HRQoL; EQ-5D index (OR = 1.080, 95%, CI: 1.015-1.148, p < 0.05), and EQ-5D VAS (OR = 1.092, 95%, CI: 1.021-1.176, p < 0.01). Overall, the EQ-5D index and EQ-5D VAS were found to be an independent predictors of sleep quality.

CONCLUSIONS

Poor sleep quality is prevalent in Indian T2DM population, and it imparts negative impact on several dimensions of EQ-5D that characterising the daily activities performance. Therefore, further real-world studies are needed to determine the causal relationship between T2DM patients and measure of objective sleep and their impact on health.

Clinical biomarker innovation: when is it worthwhile?

Background

Choosing which biomarker tests to select for further research and development is not only a matter of diagnostic accuracy, but also of the clinical and monetary benefits downstream. Early health economic modeling provides tools to assess the potential effects of biomarker innovation and support decision-making.

Methods

We applied early health economic modeling to the case of diagnosing primary aldosteronism in patients with resistant hypertension. We simulated a cohort of patients using a Markov cohort state-transition model. Using the headroom method, we compared the currently used aldosterone-to-renin ratio to a hypothetical new test with perfect diagnostic properties to determine the headroom based on quality-adjusted life-years (QALYs) and costs, followed by threshold analyses to determine the minimal diagnostic accuracy for a cost-effective product.

Results

Our model indicated that a perfect diagnostic test would yield 0.027 QALYs and increase costs by €43 per patient. At a cost-effectiveness threshold of €20,000 per QALY, the maximum price for this perfect test to be cost-effective is €498 (95% confidence interval [CI]: €275–€808). The value of the perfect test was most strongly influenced by the sensitivity of the current biomarker test. Threshold analysis showed the novel test needs a sensitivity of at least 0.9 and a specificity of at least 0.7 to be cost-effective.

Conclusions

Our model-based approach evaluated the added value of a clinical biomarker innovation, prior to extensive investment in development, clinical studies and implementation. We conclude that early health economic modeling can be a valuable tool when prioritizing biomarker innovations in the laboratory.

Mortality and health-related quality of life following injuries and associated factors: a cohort study in Chandigarh, North India

INTRODUCTION

Injuries are among the 10 leading causes of deaths worldwide. In recent years, the quality and reporting of injury mortality has improved but little or no data are available on the morbidity burden and impact of non-fatal injuries in India. This study evaluates health recovery status postinjury, identifying predictors of recovery in North India.

METHODS

Prospective cohort study recruiting patients from one tertiary-level and two secondary-level hospitals in North India between April and June 2014 hospitalised due to any injury. Health-related quality of life was assessed at baseline and at 1-month, 2-month, 4-month and 12-month postinjury using the EuroQol five-dimensional (EQ-5D-5L) questionnaire. Multivariable linear regressions with generalised estimating equations were used to examine the relationship between sociodemographic and injury-related factors with the EQ-5D-5L single utility score and the visual analogue scale (VAS) score.

RESULTS

A total of 2416 eligible patients aged ≥18 years were enrolled in the study. Of these, 2150 (74%) completed baseline and all four follow-up EQ-5D-5L questionnaires. Almost 7% (n=172) patients died by the first follow-up and the overall mortality at 12 months was 9% (n=176). Both EQ-5D-5L utility and VAS scores dropped significantly at 1-month postinjury but gradually improved at 2, 4 and 12 months. Severe injuries, defined as those requiring a hospital stay of ≥7 days, were associated with lower utility scores at 1-month, 2-month and 4-month follow-ups (p<0.001).

CONCLUSION

This is the first study to examine health outcomes following injuries in India. The findings highlight the need to understand the social, psychological and biological factors influencing recovery outcomes. High mortality following discharge emphasises the need to invest in secondary and tertiary injury prevention in India.

Validation of the EuroQol Five-dimensions - Three-Level Quality of Life Instrument in a Classical Indian Language (Odia) and Its Use to Assess Quality of Life and Health Status of Cancer Patients in Eastern India

BACKGROUND AND OBJECTIVES

The EuroQol five-dimensions - 3-level (EQ5D) is a versatile quality of life (QOL) instrument with five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and a visual analog scale. It can be used to calculate quality-adjusted life years. We aimed to evaluate the validity, reliability, and responsiveness of an Odia version of EQ5D and to study the QOL of cancer patients in our part of the country as cancer treatment in India still focuses largely on longevity due to scarcity of resources.

MATERIALS AND METHODS

The EQ5D tool was translated into Odia language in collaboration with the EQ group. This tool and the World Health Organization-5 (WHO-5) questionnaires were administered to 155 surgical outpatients and 150 cancer patients in two hospitals of Eastern India. The convergent and discriminant validities (construct validity), concurrent validity, reliability (test-retest method of administering the tool to a part of the population after 7-14 days), and the internal consistency (Cronbach's alpha) were measured using preestablished hypotheses. The data from the cancer patients were analyzed separately.

RESULTS

The QOL worsened with age and was worse in cancer patients proved that the tool had good construct validity. The Anxiety Depression dimension had good correlation with all the dimensions WHO-5 (rho > 0.4) indicating a good concurrent validity. Internal consistency and reliability of the tool were good (Cronbach's alpha > 0.7). Cancer patients had a poor QOL (mean EQ5D index 0.37SD 0.4) with male patients, patients with Grade II cancer or referred for pain care services and those with living spouses reporting worse QOL.

CONCLUSIONS

The Odia version of the EQ5D has good reliability and validity for the measurement of health status in cancer and outpatient department patients. Cancer patients in this part of the country have a poor QOL and may need a closer look at pain management and improved societal support systems.