To develop and user-test a patient decision aid for people diagnosed with degenerative cervical myelopathy and who are considering surgery.
Mixed-methods study describing the development of a patient decision aid.
A draft decision aid was developed by a multidisciplinary steering group (including study authors with degenerative cervical myelopathy, health professionals and researchers) informed by the best available evidence, authorship consensus and existing patient decision aids.
Patient-participants and health professional-participants who manage people with degenerative cervical myelopathy were recruited through social media and the steering group’s research and practice network. Quantitative questionnaires were used to gather baseline data, descriptive feedback, refine the decision aid and assess its acceptability. Qualitative semi-structured interviews were conducted online to gather feedback on the decision aid and were analysed using reflexive thematic analysis.
We conducted 32 interviews: 19 patient-participants and 13 health professional-participants who manage people with degenerative cervical myelopathy (neurosurgeons, neurologists, physiotherapists, orthopaedic surgeons, general practitioners, rehabilitation and pain specialists and consultant occupational physicians and chiropractors). Participants were from 10 countries (Australia, Canada, Cyprus, Germany, Ireland, New Zealand, Sweden, Switzerland, United Kingdom and USA). Most participants rated the decision aid’s acceptability as good-to-excellent and agreed with most aspects of the decision aid (eg, defining degenerative cervical myelopathy, management recommendations, potential benefits and harms, questions to consider asking a health professional).
Our patient decision aid was rated as an acceptable tool by both health professional-participants who treat degenerative cervical myelopathy and patient-participants with lived experience of degenerative cervical myelopathy. This decision aid can be used by clinicians and people with degenerative cervical myelopathy to help with shared decision making following a diagnosis of degenerative cervical myelopathy. A study testing the potential benefits of this decision aid in a clinical setting is recommended.
by Priya Mori, Ishita Modasiya, Mehul Chauhan, Hina Maniya, Vijay Kumar, Apurba Kumar Sarkar
Protein-energy malnutrition (PEM) remains a critical global health challenge, characterized by impaired nutrient absorption and chronic gut inflammation. While probiotics offer a potential therapeutic avenue, the efficacy of single-strain interventions is often limited. This study aimed to formulate and evaluate a Bacillus-based multi-strain probiotic consortium (MSPC) specifically tailored for PEM. Three strains—Bacillus spizizenii BAB 7915, Bacillus tequilensis, and Bacillus rugosus-were selected based on their non-antagonistic, synergistic growth profiles. The MSPC demonstrated superior functional attributes compared to individual strains, exhibiting significant proteolytic activity (0.52 ± 0.03 U/mL) and robust anti-inflammatory potential (5.33 ± 0.06 U/mL). Additionally, the consortium showed high tolerance to gastrointestinal conditions and strong antioxidant properties. These results suggest that the MSPC can effectively enhance protein hydrolysis and mitigate gut inflammation, providing a scientifically validated, low-cost formulation for the nutritional rehabilitation of PEM patients.Outcomes for degenerative cervical myelopathy (DCM) patients are limited by delayed and missed diagnoses, driven in part by poor professional awareness. Despite DCM being the most common cause of adult spinal cord injury, it remains under-recognised and undertaught in clinical education. Lessons from other common pathology like stroke and acute myocardial infarction highlight the potential of education to improve early diagnosis. This study will develop a professional education strategy to improve early DCM diagnosis. It will define key audiences and identify an effective delivery method, laying the groundwork for a sustained, targeted intervention.
The study aims to define who needs to know about DCM, what they need to know and how they can learn it. This will be carried out in three phases: phase 1—who and what: to establish the target population and to define core competencies for the educational intervention; phase 2—how: to create and review the educational intervention; phase 3—evaluation: to test whether the framework is an improvement to existing strategies.
Ethical approval is in place from the University of Cambridge (HBREC.2024.24). Results from the study will be disseminated through scientific publication, conference presentation, blog posts and podcasts.
CRD42023461838
To assess and compare the diagnostic accuracy of non-ophthalmologist-led diabetic retinopathy screening (DRS) at health and wellness centres (HWCs) and offline artificial intelligence (AI)-assisted community-based screening, using specialist grading as the reference standard in India.
Pragmatic diagnostic accuracy study in primary healthcare settings. The settings included HWCs and community-based screening sites in rural Block Boothgarh, Mohali District, Punjab, India. A total of 600 people with diabetes aged ≥30 years were enrolled across three screening models: (1) non-ophthalmologist-led DRS at the HWC, (2) AI-assisted smartphone-based DRS in the community and (3) standard referral-based care. Retinal images were captured using non-mydriatic fundus cameras and independently graded by two masked human graders; a senior retina specialist resolved any disagreements. The AI was assessed for its ability to detect diabetic retinopathy (DR) and referable diabetic retinopathy (RDR). Diagnostic performance metrics were reported.
The non-ophthalmologist-led model demonstrated 86.4% sensitivity (95% CI 65.1% to 97.1%) and 94.3% specificity (95% CI 88.5% to 97.7%) for DR detection, with an ungradability rate of 8%. For RDR, sensitivity reached 95.8% (95% CI 78.9% to 99.9%) and specificity was 93.1% (95% CI 88.0% to 96.5%). The offline AI-assisted model achieved 93.3% sensitivity (95% CI 68.1% to 99.8%) and 85.1% specificity (95% CI 76.9% to 91.2%) for RDR, but with a higher ungradability rate (38%), mainly due to cataracts and poor image quality. Both approaches effectively identified referable cases; however, the non-ophthalmologist-led model demonstrated greater accuracy and operational feasibility.
This study demonstrates that non-ophthalmologist-led DRS at HWCs can enhance access to primary care. Offline AI-enabled screening demonstrates potential for community use but is currently limited by image quality and binary classification outputs. Integrating both approaches may strengthen DRS coverage in resource-limited settings.
CTRI/2022/10/046283.
Women living with HIV (WLHIV) face a higher risk of developing cervical cancer. India carries a significant burden of HIV, with an estimated 2.5 million people living with HIV in 2023. While the introduction of more effective antiretroviral therapy has improved the life expectancy of WLHIV, it has also extended the risk window for persistent human papillomavirus (HPV) infection and cervical disease progression. Cervical cancer prevention through HPV vaccination and regular screening remains the cornerstone of public health efforts. This study specifically aims to evaluate the cost-effectiveness of various cervical cancer screening strategies (at different intervals) among WLHIV in India.
The study will be conducted in three interlinked components. First, a meta-analysis will be undertaken to evaluate the diagnostic accuracy of different screening strategies in detecting cervical lesions in WLHIV. Second, primary data collection will be carried out to estimate the treatment costs of cervical cancer and HIV among WLHIV. This phase will also include the collection of health-related quality of life (HRQoL) data, to inform utility estimates for the modelling component. A total of 135 participants will be enrolled for cost data assessment. Of these, a subset of 71 participants will also be included for HRQoL assessment. This data collection will be undertaken in four tertiary public sector hospitals located across four Indian states, that is, Mizoram, Maharashtra, Tamil Nadu and Karnataka. Lastly, a decision analytical model will be developed to simulate the process of screening, diagnosis and treatment for cervical cancer in a hypothetical cohort of WLHIV. A structured comprehensive review of literature will be undertaken to inform model input parameters related to the natural history of cervical disease, progression and mortality among WLHIV. Model calibration will be performed using a likelihood-based approach to ensure consistency with empirical epidemiological data. Probabilistic sensitivity analysis will also be conducted to assess the impact of joint parameter uncertainty on model outcomes.
Ethical approval has been obtained from Ethics Committees of Indian Council of Medical Research–National AIDS Research Institute (NARI), Pune (Protocol No. NARI/EC/Approval/2024/716); B. J. Medical College and Sassoon General Hospitals, Pune (Ref. No. BJGMC/IEC/Pharmac/ND-0824297-297); Cancer Institute (WIA), Adyar, Chennai (Ref. No. IEC/2024/Nov-07); the Mizoram State Cancer Institute, Zemabawk, Aizawl (Ref. No. D.12016/2/2013-MSCI/IEC) and the KLE Academy of Higher Education and Research, Belagavi, Karnataka. The study findings will be disseminated through publications in peer-reviewed journals.
To assess the comparative effectiveness of educational interventions in neurological disease for healthcare workers and students.
Systematic review.
Medline, Embase and Cochrane through to 1 June 2025.
Studies evaluating neurological disease educational interventions with a comparator group (observational cohort/randomised controlled trial (RCT)) were included.
A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant systematic review was conducted (PROSPERO: CRD42023461838). Knowledge acquisition and educational methodologies were collected from each study. Study outcomes were classified using the Kirkpatrick and Kirkpatrick four-level model (learner reaction, knowledge acquisition, behavioural change, clinical outcome).1 Risk of bias was assessed using the Newcastle-Ottawa scale for non-randomised studies and the Cochrane Risk of Bias tool for RCTs.2 3
A total of 67 studies involving 4728 participants were included. Of these, 36 were RCTs, and 31 were observational studies. Virtual interventions were the most common (67.2%, n=45 studies), primarily targeting either medical students (46.3%, n=31 studies) or specialists (40.3%, n=27 studies). Overall, 70.1% (n=47) of studies demonstrated outcomes in favour of the intervention. However, few studies used K&K level 3/4 outcomes, with two studies evaluating behaviour change (level 3) and three assessing clinical outcomes (level 4 combined with other levels). No study exclusively assessed level 4 outcomes. Meta-analysis of 22 RCTs with calculable standardised mean differences (SMDs) (n=1748) showed a significant benefit of interventions (SMD 0.75, 95% CI 0.22 to 1.27, p=0.0056).
This review highlights a growing body of research particularly focusing on virtual techniques, specialist audiences and treatment-oriented content. Few studies assessed changes in practice or patient care. Non-specialists remain underrepresented. Future studies should prioritise assessing the clinical impact of educational interventions within non-specialist audiences.
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.