ArticleDiabetology international2022
Financial burden for families of children with type 1 diabetes: a cross-sectional survey from North India.
Article in Diabetology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Financial Toxicity in Diabetes: The State of What We Know.Current diabetes reports · 2025Pooled it
- The Hidden Everyday-Life Burden of Pediatric Type 1 Diabetes: A Household Implementation Framework for Modern Diabetes Technology and Family Care.Current diabetes reports · 2026Review
- Article
- Lived experiences of children with type 1 diabetes mellitus and their parents: a qualitative descriptive study from eastern India.BMJ open · 2026Article
- The economic burden of managing diabetes mellitus in children in Sudan: a cross-sectional study.Cost effectiveness and resource allocation : C/E · 2026Article
- Qualitative Assessment of Experiences and Challenges Faced by Mothers of Children Using an Insulin Pump in the United Arab Emirates.Patient preference and adherence · 2026Article
- Lived experiences of Type 1 diabetes patients visiting a tertiary care hospital of Nepal: A descriptive phenomenological study.PLOS global public health · 2026Article
- Caudal epidural steroid injection as a novel therapy for treatment-induced neuropathy of diabetes in children: report of two cases.Journal of pediatric endocrinology & metabolism : JPEM · 2025Article
- Assessment of Quality of Life of Children and Adolescents with Type 1 Diabetes in Bahrain Using PedsQL 3.2 Diabetes Module.Journal of clinical medicine · 2025Article
- Invisible inequities in type I diabetes care in India: A multi-stakeholder qualitative study from Karnataka.PLOS global public health · 2025Article
- Transitioning to Insulin Analogs in Tunisian Children with Type 1 Diabetes: Efficacy and Safety.La Tunisie medicale · 2024Article
- The Social and Financial Burden on Families of Type 1 Diabetic Pediatric Patients in Madinah Region, Saudi Arabia.Cureus · 2024Article
- Practice of complementary and alternative medicine use in North Indian children with type 1 diabetes: an exploratory study.Diabetology international · 2024Article
- Financial burden of seeking diabetes mellitus care in India: Evidence from a Nationally Representative Sample Survey.Health care science · 2023Article
- Challenges in Type 1 Diabetes Management in India Compared to Singapore.Indian journal of endocrinology and metabolismArticle
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Authors and funding
5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Type 1 diabetes (T1D) incurs substantial out-of-pocket expenses (OOPE) on insulin and diabetes-related supplies. The information on OOPE is scarce from low- and middle-income countries. We aimed to estimate annual OOPE for children with T1D attending our diabetes clinic located in North India. Methods: An online survey was conducted among parents of 380 children with T1D (mean age: 10.3 ± 4.6 years). Modified BG Prasad scale was used to estimate the socioeconomic status (SES). Results: The mean duration of T1D was 3.6 ± 2.6 years; 54.9% of children were boys. The median HbA1c (IQR) was 7.9% (5-15%). 51.9% belonged to lower or lower-middle SES. Mean annual spending on glucose monitoring, insulin administration, and laboratory investigations were Indian Rupee (INR) 21,576, INR 28,965, and INR 5069, respectively (total INR 55,185, IQR: 26,575-105,027). The cost of a single visit to the doctor was approximately INR 2889. Thirty children required hospitalization during the last year, which costs INR 27,495 on average. 30.3% had more than 50% of their total family income spent on diabetes care, with a significant negative correlation with their SES ( Conclusions: There is a high financial burden of T1D care for North Indian children, almost on the verge of losing sustainability. Further studies are warranted to furnish larger OOPE data to guide policy decisions aimed at reducing direct costs to patients.
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