To determine the incremental cost-effectiveness of a new telemedicine technician-based assessment relative to an existing model of family physician (FP)-based assessment of diabetic retinopathy (DR) ...in Singapore from the health system and societal perspectives.
Model-based, cost-effectiveness analysis of the Singapore Integrated Diabetic Retinopathy Program (SiDRP).
A hypothetical cohort of patients aged 55 years with type 2 diabetes previously not screened for DR.
The SiDRP is a new telemedicine-based DR screening program using trained technicians to assess retinal photographs. We compared the cost-effectiveness of SiDRP with the existing model in which FPs assess photographs. We developed a hybrid decision tree/Markov model to simulate the costs, effectiveness, and incremental cost-effectiveness ratio (ICER) of SiDRP relative to FP-based DR screening over a lifetime horizon. We estimated the costs from the health system and societal perspectives. Effectiveness was measured in terms of quality-adjusted life-years (QALYs). Result robustness was calculated using deterministic and probabilistic sensitivity analyses.
The ICER.
From the societal perspective that takes into account all costs and effects, the telemedicine-based DR screening model had significantly lower costs (total cost savings of S$173 per person) while generating similar QALYs compared with the physician-based model (i.e., 13.1 QALYs). From the health system perspective that includes only direct medical costs, the cost savings are S$144 per person. By extrapolating these data to approximately 170 000 patients with diabetes currently being screened yearly for DR in Singapore's primary care polyclinics, the present value of future cost savings associated with the telemedicine-based model is estimated to be S$29.4 million over a lifetime horizon.
While generating similar health outcomes, the telemedicine-based DR screening using technicians in the primary care setting saves costs for Singapore compared with the FP model. Our data provide a strong economic rationale to expand the telemedicine-based DR screening program in Singapore and elsewhere.
AbstractBackgroundData on participant recruitment into diabetes prevention trials are limited in low- and middle-income countries (LMICs). We aimed to provide a detailed analysis of participant ...recruitment into a community-based diabetes prevention trial in India. MethodsThe Kerala Diabetes Prevention Program was conducted in 60 polling areas (electoral divisions) of the Neyyatinkara taluk (subdistrict) in Trivandrum district, Kerala state. Individuals (age 30–60 years) were screened with the Indian Diabetes Risk Score (IDRS) at their homes followed by an oral glucose tolerance test (OGTT) at community-based clinics. Individuals at high-risk of developing diabetes (IDRS score ≥60 and without diabetes on the OGTT) were recruited. ResultsA total of 1007 participants (47.2% women) were recruited over nine months. Pilot testing, personal contact and telephone reminders from community volunteers, and gender matching of staff were effective recruitment strategies. The major recruitment challenges were: (1) during home visits, one-third of potential participants could not be contacted, as they were away for work; and (2) men participated less frequently in the OGTT screening than women (75.2% vs. 84.2%). For non-participation, lack of time (42.0%) was most commonly cited followed by ‘ I am already feeling healthy’ (30.0%), personal reasons (24.0%) and ‘ no benefit to me or my family’ (4.0%). An average of 17 h were spent to recruit one participant with a cost of US$23. The initial stage of screening and recruitment demanded higher time and costs. ConclusionsThis study provides valuable information for future researchers planning to implement community-based diabetes prevention trials in India or other LMICs. Trial registrationAustralia and New Zealand Clinical Trials Registry: ACTRN12611000262909.
We aimed to examine whether a lifestyle intervention was effective in reducing cardiovascular disease (CVD) risk in individuals at high-risk of developing diabetes in a low- and middle-income ...setting. The Kerala Diabetes Prevention Program was evaluated by a cluster-randomized controlled trial (2013–2016) of 1007 individuals (aged 30–60 years) at high-risk for diabetes (Indian Diabetes Risk Score ≥ 60 and without diabetes) in Kerala state, India. Sixty polling areas in Kerala were randomized to intervention or control groups by an independent statistician using a computer-generated randomization sequence. Participants from 30 intervention communities received a 12-month structured peer-support lifestyle intervention program involving 15 group sessions and linked community activities, aimed at supporting and maintaining lifestyle change. The primary outcome for this analysis was the predicted 10-year CVD risk at two years, assessed using the Framingham Risk Score. The mean age at baseline was 46.0 (SD: 7.5) years, and 47.2% were women. Baseline 10-year CVD risk was similar between study groups. The follow-up rate at two years was 95.7%. The absolute risk reduction in predicted 10-year CVD risk between study groups was 0.69% (95% CI: 0.09% to 1.29%, p=0.024) at one year and 0.69% (95% CI: 0.10% to 1.29%, p=0.023) at two years. The favorable change in CVD risk with the intervention condition was mainly due to the reduction in tobacco use (change index: −0.25, 95% CI: −0.42 to −0.09). Our findings suggest that a community-based peer-support lifestyle intervention could reduce CVD risk in individuals at high-risk of developing diabetes in India.
Australia and New Zealand Clinical Trials Registry ACTRN12611000262909.
•Individuals at high-risk for diabetes are at an increased risk for CVDs.•The 10-year CVD risk reduced by 0.69% with a lifestyle intervention at two years.•This reduction in CVD risk was mainly due to the reduction in tobacco use.
Understanding the effects of modifiable risk factors on risk for multiple sclerosis (MS) and associated neurodegeneration is important to guide clinical counseling.
To investigate associations of ...alcohol use, smoking, and obesity with odds of MS diagnosis and macular ganglion cell layer and inner plexiform layer (mGCIPL) thickness.
This cross-sectional study analyzed data from the community-based UK Biobank study on health behaviors and retinal thickness (measured by optical coherence tomography in both eyes) in individuals aged 40 to 69 years examined from December 1, 2009, to December 31, 2010. Risk factors were identified with multivariable logistic regression analyses. To adjust for intereye correlations, multivariable generalized estimating equations were used to explore associations of alcohol use and smoking with mGCIPL thickness. Finally, interaction models explored whether the correlations of alcohol and smoking with mGCIPL thickness differed for individuals with MS. Data were analyzed from February 1 to July 1, 2021.
Smoking status (never, previous, or current), alcohol intake (never or special occasions only low, once per month to ≤4 times per week moderate, or daily/almost daily high), and body mass index.
Multiple sclerosis case status and mGCIPL thickness.
A total of 71 981 individuals (38 685 women 53.7% and 33 296 men 46.3%; mean SD age, 56.7 8.0 years) were included in the analysis (20 065 healthy control individuals, 51 737 control individuals with comorbidities, and 179 individuals with MS). Modifiable risk factors significantly associated with MS case status were current smoking (odds ratio OR, 3.05 95% CI, 1.95-4.64), moderate alcohol intake (OR, 0.62 95% CI, 0.43-0.91), and obesity (OR, 1.72 95% CI, 1.15-2.56) compared with healthy control individuals. Compared with the control individuals with comorbidities, only smoking was associated with case status (OR, 2.30 95% CI, 1.48-3.51). High alcohol intake was associated with a thinner mGCIPL in individuals with MS (adjusted β = -3.09 95% CI, -5.70 to -0.48 μm; P = .02). In the alcohol interaction model, high alcohol intake was associated with thinner mGCIPL in control individuals (β = -0.93 95% CI, -1.07 to -0.79 μm; P < .001), but there was no statistically significant association in individuals with MS (β = -2.27 95% CI, -4.76 to 0.22 μm; P = .07). Smoking was not associated with mGCIPL thickness in MS. However, smoking was associated with greater mGCIPL thickness in control individuals (β = 0.89 95% CI, 0.74-1.05 μm; P < .001).
These findings suggest that high alcohol intake was associated with retinal features indicative of more severe neurodegeneration, whereas smoking was associated with higher odds of being diagnosed with MS.