by Maria Sabastin Sagayam, Priya Gupta, Ram Ramesh, Angan Sengupta
BackgroundThe Indian healthcare system continues to remain unstructured leading to sub-optimal health outcomes, not just in rural but even in urban areas. While physicians play a crucial role in shaping treatment trajectories and managing the referral process, their perspective on the referral system has received very limited academic attention in India. This study attempts to understand the archetypical physician’s referral mechanism and the factors influencing their referral practices. This study also highlights the challenges and possible solutions in operationalising an efficient referral process as suggested by the professionals.
MethodsIn-depth qualitative interviews were conducted with sixty-two physicians consisting of both general physicians and specialists from 19 different disciplines, associated with public and private hospitals in Bengaluru, India. The data, thus collected, was subjected to thematic analysis to generate relevant themes.
ResultsFive themes emerged from the thematic analysis from a phenomenological perspective based on the physicians’ lived experience. First of all, specialist physicians’ availability, accessibility, experience, and reputation strongly influenced referral recommendations. It was also observed that due to lack of a comprehensive healthcare provider database, personal connections and professional networks are utilised. Moreover, although physicians prioritize patients’ affordability and accessibility factors, referral counselling and caregiver-patient communication remained inadequate and required formalization. While the fourth theme clusters around several barriers related to communication, system inefficiencies, lack of awareness, accessibility and affordability among patients; the final theme suggests that the physicians emphasized on urgent need for clear guidelines, regulations and policies to streamline and monitor the referral system.
ConclusionThis research highlights that physicians recognize the systemic gaps leading to unsolicited health outcomes; yet they are helpless in most cases. The participants emphasized that robust information systems connecting all relevant stakeholders are essential. The exploration reveals that the system will not adopt a structured referral method without the government taking interest in it.
To estimate the treatment outcomes among individuals treated for hypertension in the public sector in 89 districts across 15 states in India and to identify the risk factors for uncontrolled blood pressure (BP).
An analysis of a cohort of people with hypertension from 2018 to 2022 from public sector health facilities.
All India Hypertension Control Initiative (IHCI) implementing districts using digital information systems across 15 states of India, namely Andhra Pradesh, Bihar, Goa, Gujarat, Jharkhand, Karnataka, Maharashtra, Nagaland, Puducherry, Punjab, Rajasthan, Sikkim, Tamil Nadu, Uttar Pradesh and West Bengal.
Individuals aged 30 years or older, who were diagnosed with hypertension or on medication at the time of registration between 1 January 2018 and 31 December 2021 were included in the study.
Treatment outcomes were controlled BP, uncontrolled BP and missed visits in the reporting quarter (1 January 2022–31 March 2022). We analysed the risk factors for uncontrolled BP.
Out of 1, 235, 453 hypertensive individuals enrolled in the IHCI project across 15 states, 1, 046, 512 remained under care, with 44% BP control. The control varied from 26% to 57% in various types of facilities. The states of Maharashtra, Punjab and Rajasthan had above 50% control, while Nagaland, Jharkhand and Bihar had below 25%. BP control declined from 68% when defined using a single recent reading to 52% when defined using the two-visit readings. Younger individuals (
We documented the implementation of IHCI strategies at scale and measured treatment outcomes in a large cohort. Overall, BP control improved with variations across states. We need focused strategies to improve control in higher-level facilities, among males and people with diabetes. Using two BP readings may support consistent treatment adherence.
Migrants in Australia are a vulnerable group to drowning, yet their participation in water safety programs remains limited. Previous research has focused on migrants already engaged in water-related activities, overlooking perceptions from those facing broader access challenges. Additionally, migrants have often been treated as a homogeneous group, neglecting intersectional factors such as age, gender, ethnicity and income level that influence access to programs.
This phenomenological qualitative study addresses these gaps by employing a novel approach to recruitment: conducting in-depth interviews with purposively selected recent migrants in a non-traditional setting—hairdressing salons—to capture diverse perspectives. A variety of ethnicities, ages and genders were recruited. Thematic analysis with an inductive approach was used to analyse the data.
Findings showed that most migrants were unaware of water safety programmes. While acknowledging the importance of water safety, they prioritised other pressures, such as income generation. However, affordable and culturally tailored training programmes for adults, delivered in culturally safe environments, may enable participation. Social connections, especially among students, could also be leveraged. Although parents rarely participated, they prioritised enrolling their children in swim training. Ethnicity-specific adaptations, such as native-language trainers, were considered desirable. Informants suggested disseminating water safety information to migrants before arrival in Australia or through community magazines and universities.
This study highlights the importance of intersectional, community-driven designing of water safety programmes and demonstrates the effectiveness of innovative recruitment methods in reaching underrepresented migrant populations. These findings provide actionable insights for developing inclusive and accessible drowning prevention strategies.
Stillbirth remains a major global health challenge, with India bearing a substantial share of the burden. Despite the availability of evidence-based interventions, stillbirth rates (SBRs) remain high due to gaps in healthcare access, quality and the effective delivery of maternal and neonatal care. This study aims to develop and implement an optimised, context-specific model to reduce SBRs in Sangrur district, Punjab.
This mixed-methods implementation research will adopt a sequential explanatory design. The study will be conducted over 3 years in four blocks of Sangrur. Data will be collected through baseline and endline surveys, verbal autopsies of stillbirths, direct observations of antenatal and intrapartum care, and qualitative interviews with community members and healthcare providers. The intervention package will focus on preconception and antepartum care, intrapartum care and strengthening health systems. The study will use the plan-do-check-act model for continuous improvement, and real-time data collection through electronic systems will support timely decision-making.
The study expects to achieve a 25% reduction in SBRs through the optimised delivery of high-quality antenatal and intrapartum care services. Additionally, the research will provide critical evidence on the barriers and facilitators to optimise service delivery, as well as insights into the health system and community factors influencing stillbirth outcomes. This study aims to create a scalable and adaptable intervention model to reduce SBRs in low-resource settings like Sangrur and Punjab. The findings will inform future maternal and neonatal health policies and provide a framework for the broader implementation of similar interventions in other regions of India.
The study protocol has been approved by the International Institute of Health Management Research, Delhi (IIHMR) Institutional Ethics Committee (IRB/2024-2025/01). The study is funded through a competitive call for proposals on stillbirths by the Indian Council of Medical Research (ICMR) under the National Health Research Priority Projects (5/7BMIPR/2022-RBMCH). The research has been awarded by ICMR (project ID NHRP05586) to IIHMR under grant number 5/7/BMIPR/2022-RCN.
Multimorbidity or multiple long-term conditions (MLTCs) are defined as the coexistence of two or more chronic conditions in an individual. With increased longevity and the rising burden of chronic non-communicable diseases (NCDs), multimorbidity is becoming the norm. Although more prevalent in older populations and people with low socio-economic status, multimorbidity is rapidly rising in the younger age groups. Accurate data on its incidence and health and economic impacts, ie, disability-adjusted life years (DALY) lost and quality-adjusted life year (QALY) are not available for the Indian population. The objective of this study is to determine the incidence and predictors of multimorbidity, the longitudinal trends, the common clusters of conditions and the health and economic impact of multimorbidity among adult Indians aged ≥40 years.
12 229 participants (≥40 years) from the population-based cohort, titled the Centre for cArdiometabolic Risk Reduction in South-Asia (CARRS) cohort, from Delhi and Chennai will be recruited. CARRS is an existing adult urban cohort which is well characterised, deeply phenotyped and geocoded with bio-banked samples. They will be followed up longitudinally twice during 2023–2025. Information will be collected on common NCD risk factors (physical inactivity, tobacco and alcohol use), disability, frailty and treatment costs. We will also perform anthropometric and blood pressure measurements on all participants as well as biomarker assessments on a sub-sample of 2300.
Ethics approval has been obtained from the ethics committees of the Centre for Chronic Disease Control (CCDC) (Institutional Review Board (IRB) 00006330) and the Madras Diabetes Research Foundation (IRB no. IRB00002640). Key findings from the study will be published in national and international peer-reviewed journals. Results will also be presented at various academic conferences to engage with the broader research community. A final report will be submitted to the funding agency upon completion of the fellowship. De-identified data will be securely stored at the CCDC. Access to the data will be available upon request to the principal investigator.
The aim of this study was to prioritise a set of indicators to measure World Health Organization (WHO) quality-of-care standards for small and/or sick newborns (SSNB) in health facilities. The hypothesis is that monitoring prioritised indicators can support accountability mechanisms, assess and drive progress, and compare performance in quality-of-care (QoC) at subnational levels.
Prospective, iterative, deductive, stepwise process to prioritise a list of QoC indicators organised around the WHO Standards for improving the QoC for small and sick newborns in health facilities. A technical working group (TWG) used an iterative four-step deductive process: (1) articulation of conceptual framework and method for indicator development; (2) comprehensive review of existing global SSNB-relevant indicators; (3) development of indicator selection criteria; and (4) selection of indicators through consultations with a wide range of stakeholders at country, regional and global levels.
The indicators are prioritised for inpatient newborn care (typically called level 2 and 3 care) in high mortality/morbidity settings, where most preventable poor neonatal outcomes occur.
The TWG included 24 technical experts and leaders in SSNB QoC programming selected by WHO. Global perspectives were synthesised from an online survey of 172 respondents who represented different countries and levels of the health system, and a wide range of perspectives, including ministries of health, research institutions, technical and implementing partners, health workers and independent experts.
The 30 prioritised SSNB QoC indicators include 27 with metadata and 3 requiring further development; together, they cover all eight standard domains of the WHO quality framework. Among the established indicators, 10 were adopted from existing indicators and 17 adapted. The list contains a balance of indicators measuring inputs (n=6), processes (n=12) and outcome/impact (n=9).
The prioritised SSNB QoC indicators can be used at health facility, subnational and national levels, depending on the maturity of a country’s health information system. Their use in implementation, research and evaluation across diverse contexts has the potential to help drive action to improve quality of SSNB care. WHO and others could use this list for further prioritisation of a core set.
by Mohammad K. Siddiqui, Shagufta Khan, Rinchenla Bhutia, Vivek Nair, Ashok Rai, Nirmal Gurung, Tseten Yamphel, Peggy K. Dadul, Debya S. Kerongi, Karma Doma Bhutia, Jagat Pradhan, Kabita Khati, Sreenivas A. Nair, Shamim Mannan, Kiran K. Rade, Dinesh Gupta, Pawan Malhotra, L. Masae Kawamura, Shikha Dhawan, Asif Mohmmed
BackgroundMonasteries in India house individuals from childhood to advanced age. These congregate settings amplify tuberculosis (TB) transmission and exposure when the disease is present, especially in the high burden areas like Sikkim, India. However, the prevalence of active-TB disease (ATB), tuberculosis infection (TBI), and their associated risk factors have not been studied. The diagnosis and treatment of TBI remain a major bottleneck in eradicating TB. ATB and TBI risk among residents living in the congregate setting of monasteries in Sikkim, India, a high-TB burden area, may be high due to high-density living quarters, public interaction and their frequent travel history but has never been illustrated.
MethodA cross-sectional screening of the monks and residents of Rumtek Monastery (Sikkim, India) was carried out to assess extent of ATB and TBI in a congregate setting. TrueNat MTB and GeneXpert MTB/Rif systems were utilized for ATB diagnosis, whereas QuantiFERON-TB Gold Plus (QFT-plus) Interferon-gamma release assay (IGRA) analysis was used for TBI detection. Follow-up sputum testing by TrueNat MTB was performed on IGRA-positive individuals to exclude ATB.
ResultsAmong the 350 inhabitants of the monastery, 7% (25/350) were found to be symptomatic for TB, whereas 93% (325/350) were asymptomatic. Out of them, 189 participants, including symptomatic cases, agreed to participate in the study and were screened for TBI; however, 15 participants were excluded from the study due to result discrepancies. None of the participant were diagnosed with active tuberculosis (ATB), although, 44.2% (77/174) were found to be positive for TBI; however, none of those with TBI progressed to ATB during one year follow-up. Risk factors for TBI included: advancing age, frequent travel history, family history of TB or having contacts with TB patients and abnormal Body Mass Index (BMI) ≤18.5- ≥ 25.
ConclusionThis study confirms the high prevalence of TBI among residents in the congregate setting of monasteries, and justify TB prevention strategies by targeted screening, TBI testing and preventive treatment in congregate settings of high TB burden areas.
The rise of electronic nicotine delivery systems (ENDS) has introduced new challenges to tobacco control and regulation, particularly among young adults, raising questions about their safety. This umbrella review aimed to synthesise existing systematic reviews with or without meta-analyses to evaluate the health impacts of ENDS.
We conducted a systematic literature search via the PICO strategy across multiple databases, focusing on e-cigarettes, ENDS and e-liquids, while excluding non-nicotine e-cigarette and nicotine replacement therapies (NRTs). Health outcomes include a range of clinical diseases and physiological changes. Quality assessment was performed via assessing the methodoligcal quality of systematic reviews 2 (AMSTAR-2), and the findings were synthesised narratively and in tables, prioritising the highest-rated reviews. The meta-analyses used R software (V.4.3) random effects models, and evidence quality was assessed via the Grading of Recommendations, Assessment, Development and Evaluation criteria.
Of the 5055 records, 69 systematic reviews were included. Systematic reviews have indicated increased risks of cardiovascular and respiratory diseases, mental health issues and substance abuse with ENDS use, especially among adolescents. Cardiovascular risk factors included increased heart rate (mean difference (MD) 1.41, 95% CI 0.81 to 2.01, I2=91%) from 25 studies; increased blood pressure (MD for systolic blood pressure=0.51 mm Hg, 95% CI 0.26 to 0.75, I2=89%; MD for diastolic blood pressure=0.59 mm Hg, 95% CI 0.35 to 0.83, I2=82%) from 23 studies; endothelial dysfunction and increased platelet activity. Respiratory risk factors included reduced lung function and a higher incidence of asthma in nine studies (OR 1.30, 95% CI 1.1 to 1.55; I2=43%) and chronic obstructive pulmonary disease. Mental health concerns, such as depression and suicidality, were also prevalent among adolescent ENDS users. Nine studies reported a negative effect of ENDS on periodontal health. Evidence of carcinogens has been found in the urinary examinations of ENDS users in some studies. The adverse events reported in seven randomised controlled trials with 2611 participants were similar between ENDS and NRT (RR 1.13, 95% CI 0.83 to 1.54, I2=12%).
Exposure to ENDS is harmful to various organ systems, especially cardiovascular and respiratory systems. Comprehensive regulatory measures and public health strategies are necessary to curb the use of ENDS, particularly among young people.
Childhood cancer accounts for a significant proportion of global childhood mortality, especially in low-income and middle-income countries (LMICs). Unlike many adult malignancies, primary prevention of childhood cancers is not possible. Improving survival requires a two-pronged strategy: earlier diagnosis and effective treatment. Our study aims to establish the feasibility, clinical and implementation effectiveness of an adapted early warning signs and symptoms (EWSS) intervention in Cameroon and Kenya. It will equip healthcare workers, Ministry of Health (MOH) representatives and National Cancer Institute leaders with evidence-informed guidance on implementing context-adapted interventions to improve the early detection and referral of childhood cancers in these countries.
The study is a quasi-experimental, hybrid type 2 implementation effectiveness study based on a Ghanaian adaptation of the ‘Saint Siluan’ EWSS campaign. Our protocol proposes context-specific adaptation and evidence-based implementation of the EWSS intervention through iterative engagement with country-level implementation teams to train healthcare workers and improve referral pathways for earlier childhood cancer diagnoses in each study country. Training effectiveness will be measured through pretraining and post-training tests of knowledge and application, as well as training satisfaction surveys. Clinical effectiveness will be assessed by using a REDCap database to track the number of newly diagnosed childhood cancer cases in the study regions and counties, healthcare timelines and paths to diagnosis, and the stage and proportion of metastatic disease at diagnosis. Implementation effectiveness will be evaluated through interviews with senior and mid-level health system partners and clinicians, tracking fidelity to the implementation process as laid out in The Implementation Roadmap Workbook, and analysis of meeting minutes from monthly local implementation team meetings.
This study has received ethical approval from The Hospital for Sick Children (REB # 1000080092) and all participating sites. We have received National Ethical Clearance from the Cameroon Ethical Board (#1699) and Regional Administrative Authorizations from our piloting regions (Centre and West). We have also received ethical clearance from Kenyatta National Hospital (KNH) (ERB# KNH-ERC/RR/955) and our National Commission for Science, Technology and Innovation in Kenya licence from the counties we are piloting in Kenya. As clinical data will be collected from existing health registries and patient charts, patient consent will not be required; however, we will obtain consent from all members of the leadership implementation teams and operational implementation teams for their participation in the implementation meetings and from all individuals participating in the semistructured interviews. We will disseminate findings to build awareness and share findings among various target audiences: (1) key county and regional parties (eg, clinical societies, advocacy groups, country MOHs and regional bodies such as the East African Community, Economic Community of West African States); (2) international bodies such as the WHO; and (3) the academic community.
With ambient listening systems increasingly adopted in healthcare, analyzing clinician-patient conversations has become essential. The Omaha System is a standardized terminology for documenting patient care, classifying health problems into four domains across 42 problems and 377 signs/symptoms. Manually identifying and mapping these problems is time-consuming and labor-intensive. This study aims to automate health problem identification from clinician-patient conversations using large language models (LLMs) with retrieval-augmented generation (RAG).
Using the Omaha System framework, we analyzed 5118 utterances from 22 clinician-patient encounters in home healthcare. RAG-enhanced LLMs detected health problems and mapped them to Omaha System terminology. We evaluated different model configurations, including embedding models, context window sizes, parameter settings (top k, top p), and prompting strategies (zero-shot, few-shot, and chain-of-thought). Three LLMs—Llama 3.1-8B-Instruct, GPT-4o-mini, and GPT-o3-mini—were compared using precision, recall, and F1-score against expert annotations.
The optimal configuration used a 1-utterance context window, top k = 15, top p = 0.6, and few-shot learning with chain-of-thought prompting. GPT-4o-mini achieved the highest F1-score (0.90) for both problem and sign/symptom identification, followed by GPT-o3-mini (0.83/0.82), while Llama 3.1-8B-Instruct performed worst (0.73/0.72).
Using the Omaha System, LLMs with RAG effectively automate health problem identification in clinical conversations. This approach can enhance documentation completeness, reduce documentation burden, and potentially improve patient outcomes through more comprehensive problem identification, translating into tangible improvements in clinical efficiency and care delivery.
Automating health problem identification from clinical conversations can improve documentation accuracy, reduce burden, and ensure alignment with standardized frameworks like the Omaha System, enhancing care quality and continuity in home healthcare.
The open, prospective Community-Based chronic Care Lesotho (ComBaCaL) cohort is the first study to comprehensively investigate socioeconomic indicators, common chronic diseases and their risk factors in a remote rural setting in Lesotho. It serves as a platform for implementing nested trials using the Trials within Cohorts (TwiCs) design to assess community-based chronic care interventions. In this study, we present the cohort’s sociodemographic and chronic disease risk factor profile, including self-reported HIV prevalence and hypertension and diabetes care cascades.
Since February 2023, community health worker (CHWs) supported by a clinical decision support and data collection application have enrolled inhabitants from 103 randomly selected rural villages in Butha-Buthe and Mokhotlong districts in Northeast Lesotho. As of 31 May 2024, the cohort includes 5008 households with 14 735 participants (55% female, median age 19 years). The cohort’s socioeconomic status is low with an International Wealth Index of 26, a monthly household income of US$42.4 and low levels of formal education. Among the 7917 adult participants, 42.5% are overweight or obese, with higher rates among women, and 33.1% smoke tobacco, with higher rates among men. Self-reported HIV prevalence is 15.1% with a 98.4% treatment rate. Hypertension prevalence is 17% with a 56% control rate and diabetes prevalence is 4% with a 39% control rate.
The cohort’s low socioeconomic status is linked to multiple health risks including insufficient access to clean energy, essential healthcare services, adequate sanitary facilities and secure food supply. Besides the expected high HIV prevalence, we found significant hypertension, diabetes and cardiovascular risk factor prevalences. While treatment and control rates for diabetes and hypertension are higher than in similar settings, they remain below global targets.
Ongoing cluster-randomised TwiCs, which will be completed in 2025, are assessing the effectiveness of community-based, CHW-led care interventions for diabetes and hypertension. CHWs will continue to closely monitor the cohort and integrate additional measurements such as HIV testing. This will provide further insights into the dynamics and interactions of chronic diseases and inform the development of future nested trials on innovative community-based prevention and care interventions.
Using the community-based participatory research (CBPR) methodology, sustained peer group treatment has effectively improved medication adherence. Although many studies investigate the effectiveness of peer group therapy, there is a lack of evidence addressing the cost-effectiveness of CBPR models in low- and middle-income countries. This protocol outlines the methods for the economic evaluation of the PArticipatory Research model for medicaTIon adherenCe In People with diAbetes and hyperTEnsion (PARTICIPATE) trial to determine whether the CBPR approach to enhance medication adherence among patients with diabetes and/or hypertension is cost-effective in India.
A within-trial cost-effectiveness analysis (CEA) from a societal perspective will be conducted alongside a multicentre cluster randomised controlled trial to identify, measure and evaluate the key resource and outcome impacts of a CBPR model compared with usual care aimed at improving medication adherence in adult rural Indian patients with diabetes and/or hypertension. The CEA will provide results in terms of the cost per improvement in medication adherence score, and a cost-utility analysis (CUA) will express the findings as the cost per disability-adjusted life year (DALY) or quality-adjusted life year (QALY) gained. Intervention costs and effects will be projected for the population of Indian adults with diabetes and/or hypertension who are on medication, analysed over the cohort’s lifetime. Results from the modelled CUA will detail incremental costs, costs per death averted and costs per DALY averted/QALY gained for the interventions relative to the comparator. Incremental cost-effectiveness ratios will be computed by dividing the cost difference between the intervention and comparator by the difference in benefits. Health economic evaluation methods, including a lifetime horizon, a 3% discount rate for costs and benefits and a societal perspective, will be followed. The effects of sampling uncertainty on estimated incremental costs and effectiveness parameters, as well as the influence of methodological assumptions (such as the discount rate and study perspective), will be examined through both deterministic and probabilistic sensitivity analyses. Relevant differences in costs, outcomes or cost-effectiveness disparities among subgroups of patients with varying baseline characteristics will also be reported. Results will be illustrated using cost-effectiveness acceptability curves across a range of willingness-to-pay thresholds. Modelled CUA will broaden the target population and time frame to offer decision-makers insights into the cost-effectiveness of the CBPR approach for enhancing medication adherence. Furthermore, a return on investment analysis will be performed to express benefits in monetary terms relative to investments made, allowing for a comprehensive expression of both costs and the full spectrum of intervention benefits in monetary units.
The Institutional Ethics Committee of Sri Aurobindo Medical College and PGI, Indore, provided ethics approval. The results of the main trial and economic evaluation will be submitted for publication in a peer-reviewed journal and disseminated through reports to Indian Council of Medical Research and conference presentations.
Clinical Trial Registry of India (CTRI) CTRI/2024/01/061939.
Secondary and tertiary renal hyperparathyroidism (RHPT) are common sequelae of chronic kidney disease and are associated with worse patient mortality and quality of life. Clinical guidelines remain lacking with regard to recommendations for using intraoperative parathyroid hormone (IOPTH) during surgery for RHPT. A prospective randomised study will help evaluate the role of IOPTH in guiding surgery for secondary and tertiary RHPT.
Intraoperative parathyroid hormone monitoring to guide surgery in renal hyperparathyroidism is a pragmatic, multicentre, five-arm, parallel-group, patient-blinded and outcome assessor-blinded prospective pilot trial used to evaluate the feasibility of performing a definitive trial. Eligible participants include adult patients diagnosed with secondary or tertiary hyperparathyroidism who are candidates for subtotal or total parathyroidectomy. Consenting patients will be randomly assigned, through central allocation, in a 1:1:1:1:1 fashion to undergo surgery with IOPTH monitoring (four experimental arms: postexcision IOPTH samples taken at 10, 15, 20 or 25 min) or to undergo surgery without IOPTH monitoring (control arm). The primary feasibility objective is to estimate the percentage of eligible patients that are randomised: ≥70% proceed; 50–69% modify protocol before proceeding;
Ethics approval was obtained from the Hamilton Integrated Research Ethics Board. Pilot trial results will be shared widely through local, national and international academic and clinical networks and will be disseminated through conference presentations and publication in peer-reviewed journals.
NCT06542315, registered on 6 August 2024.