Challenges and Barriers Faced by People with TB and Healthcare Workers Providing TB Care and Management - A Qualitative Study.

BACKGROUND: In tuberculosis (TB) care and management, there are practical challenges existing at the patient-provider level leading to implementation barriers at the primary care level. OBJECTIVES: The objective of the study is to explore the challenges and barriers faced by people with TB and health-care workers in TB care and management. MATERIALS AND METHODS: This study was done as a part of a community intervention study between November 2021 and December 2022. Twenty interviews were taken with treatment for TB (n = 7) and health-care personnel (n = 13). Health-care personnel include nursing staff, medical officers, laboratory technicians, community health workers, and medical personnel from tertiary care hospital. Participants were recruited across all levels of health-care systems. Interviews were carried out in the Hindi language, audio recorded, and translated to English. Participants were asked about their experiences of challenges and barriers faced during TB care and management. Qualitative data were coded, and thematic analysis was done manually. RESULTS: The challenges and barriers at the level of people with TB were issues with communication between providers and people with TB, out-of-pocket expenditure, poor adherence to medicines, lack of proper diet, gender issues, and stigma. The challenges and barriers at the level of health-care providers were a lack of infrastructure and logistics, lack of awareness, COVID-19-related issues, lack of workforce, and technical issues. CONCLUSION: Communication between providers and people with TB must be improved to improve the drug adherence and satisfaction of the end user. Proper funding must be provided for the TB programs. People with TB must be counseled properly regarding the free health care services available near their homes to prevent out-of-pocket expenditure. These will help in fast-tracking the elimination of TB.

Assessment of self-esteem and quality of life in patients with transtibial amputations using an exoskeletal prosthesis.

BACKGROUND: Lower limb amputation can have profound physical, psychological, and social effects on individuals. Assistive aids like prosthetic lower limbs can help an individual regain mobility and thereby affect their self-esteem and quality of life. OBJECTIVE: To assess self-esteem and quality of life in patients with transtibial amputations who are using a transtibial prosthesis and explore the association between sociodemographic and amputation-related factors with self-esteem and prosthesis-related quality of life measures. DESIGN: A cross-sectional study. SETTING: An orthotics and prosthetics center (Bhagwan Mahaveer Viklang Sahayata Samiti) in Jaipur, Rajasthan. PARTICIPANTS: Patients with transtibial amputations using exoskeletal prostheses between July and September 2022, in Jaipur, Rajasthan. MAIN OUTCOME MEASURES: The study used Rosenberg self-esteem questionnaire and Prosthesis Evaluation Questionnaire (PEQ) for self-esteem and quality of life assessment, respectively. Descriptive analysis was used to present the demographic details, and nonparametric tests examined the relationship between PEQ dimensions and sociodemographic variables. RESULTS: The study included 138 participants, primarily <40 years old (45.7%) and mostly engaged in high-activity occupations. Self-esteem mean score (SD) was 19.9 (3.9), with 89.1% exhibiting normal self-esteem. Prosthesis-related quality of life, showed high satisfaction across various domains, including ambulation, appearance, frustration, perceived response, residual limb health, social burden, sounds, utility, and well-being. No significant associations were found between sociodemographic factors, amputation-related variables, and self-esteem. However, PEQ scales showed associations with gender, age, occupation, type of amputation, and years of prosthesis use. CONCLUSION: These results highlight the potential advantages of exoskeletal prostheses in improving the standard of living for people with transtibial amputations. Further research is essential to develop targeted interventions for improving their overall quality of life.

The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis.

Background: Considerable use of mobile health (mHealth) interventions has been seen, and these interventions have beneficial effects on health and health service delivery processes, especially in resource-limited settings. Various functionalities of mobile phones offer a range of opportunities for mHealth interventions. Objective: This review aims to assess the health impact of mHealth interventions in India. Methods: This systematic review and meta-analysis was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies conducted in India, and published between April 1, 2011, and March 31, 2021, were considered. A literature search was conducted using a combination of MeSH (Medical Subject Headings) terms in different databases to identify peer-reviewed publications. Thirteen out of 1350 articles were included for the final review. Risk of bias was assessed using the Risk of Bias 2 tool for RCTs and Risk Of Bias In Non-randomised Studies - of Interventions tool (for nonrandomized trials), and a meta-analysis was performed using RevMan for 3 comparable studies on maternal, neonatal, and child health. Results: The meta-analysis showed improved usage of maternal and child health services including iron-folic acid supplementation (odds ratio [OR] 14.30, 95% CI 6.65-30.75), administration of both doses of the tetanus toxoid (OR 2.47, 95% CI 0.22-27.37), and attending 4 or more antenatal check-ups (OR 1.82, 95% CI 0.65-5.09). Meta-analysis for studies concerning economic evaluation and chronic diseases could not be performed due to heterogeneity. However, a positive economic impact was observed from a societal perspective (ReMiND [reducing maternal and newborn deaths] and ImTeCHO [Innovative Mobile Technology for Community Health Operation] interventions), and chronic disease interventions showed a positive impact on clinical outcomes, patient and provider satisfaction, app usage, and improvement in health behaviors. Conclusions: This review provides a comprehensive overview of mHealth technology in all health sectors in India, analyzing both health and health care usage indicators for interventions focused on maternal and child health and chronic diseases. Trial Registration: PROSPERO 2021 CRD42021235315; https://tinyurl.com/yh4tp2j7.

Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment.

Background: Due to the staggering number of tobacco users in India, it is important to determine the exact mortality and morbidity rates due to tobacco use. This study aimed to estimate deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) attributable to cigarettes, bidis, and smokeless tobacco (SLT) in India. Methods: Data pooling and meta-analysis were done using case-control studies available on the three types of tobacco products. Health burden was estimated by applying the population attributable fraction (PAF) value to the total disease burden. Findings: A total of 33 studies were included. PAF was calculated for oral and lung cancer as well as ischemic heart disease (IHD) due to cigarettes, oral and lung cancer, IHD, and chronic obstructive pulmonary disease due to bidi, and oral and stomach cancer and IHD due to SLT. Cigarettes resulted in 8.4 million DALYs, 8.26 million YLLs, and 341 deaths; bidis led to 11.7 million DALYs, 10.7 million YLLs, and 478 thousand deaths, and SLTs accounted for 4.38 million DALYs, 4.3 million YLLs, and 171 thousand deaths annually. Conclusion: Evidence of measurable health burden and methodology for calculation for individual states was provided in the study. The generated evidence could be utilized for policy recommendations and revision of the existing taxation norms.

Application of Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) as Metabolic Syndrome prediction tools.

BACKGROUND: Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) are easy, inexpensive, and non-invasive tools that can be used to screen people for Metabolic Syndrome (Met S). The study aimed to explore the prediction abilities of IDRS and CBAC tools for Met S. METHODS: All the people of age ≥30 years attending the selected rural health centers were screened for Met S. We used the International Diabetes Federation (IDF) criteria to diagnose the Met S. ROC curves were plotted by taking Met S as dependent variables, and IDRS and CBAC scores as independent/prediction variables. Sensitivity (SN), specificity (SP), Positive and Negative Predictive Value (PPV and NPV), Likelihood Ratio for positive and negative tests (LR+ and LR-), Accuracy, and Youden's index were calculated for different IDRS and CBAC scores cut-offs. Data were analyzed using SPSS v.23 and MedCalc v.20.111. RESULTS: A total of 942 participants underwent the screening process. Out of them, 59 (6.4%, 95% CI: 4.90-8.12) were found to have Met S. Area Under the Curve (AUC) for IDRS in predicting Met S was 0.73 (95%CI: 0.67-0.79), with 76.3% (64.0%-85.3%) sensitivity and 54.6% (51.2%-57.8%) specificity at the cut-off of ≥60. For the CBAC score, AUC was 0.73 (95%CI: 0.66-0.79), with 84.7% (73.5%-91.7%) sensitivity and 48.8% (45.5%-52.1%) specificity at the cut-off of ≥4 (Youden's Index, 2.1). The AUCs of both parameters (IDRS and CBAC scores) were statistically significant. There was no significant difference (p = 0.833) in the AUCs of IDRS and CBAC [Difference between AUC = 0.00571]. CONCLUSION: The current study provides scientific evidence that both IDRS and CBAC have almost 73% prediction ability for Met S. Though CBAC holds relatively greater sensitivity (84.7%) than IDRS (76.3%), the difference in prediction abilities is not statistically significant. The prediction abilities of IDRS and CBAC found in this study are inadequate to qualify as Met S screening tools.

Competence-Based Assessment of Biomedical Equipment Management and Maintenance System (e-Upkaran) Using Benefit Evaluation Framework.

Introduction To establish a centralized inventory management system for the efficient functioning of all healthcare facilities, e-Upkaran (equipment management and maintenance system) was launched in 2015 in the state of Rajasthan. This study is conducted to assess the functioning of e-Upkaran in Rajasthan. Methods The assessment of the e-Upkaran system for primary and secondary healthcare centers was carried out using a systematic review of the literature and a multi-indicator stakeholder questionnaire. The benefits evaluation framework focused on the system quality, information and service quality, use and user satisfaction, and net benefits utilized for the assessment. A review of the literature was done to highlight the importance of computerized medical equipment management and maintenance systems and appraise the challenges and benefits associated with such systems as compared to the traditional pen-paper register. Information was gathered based on available documents, field observation, and data obtained from specific hospital staff, including the bioengineers and other users of e-Upkaran. Results The finding of this study suggests that e-Upkaran efficiently improves documentation, reporting, maintenance, and management of medical equipment. It is more efficient than the traditional paper-pen system. It is designed to minimize downtime and maintain equipment in good operating condition and has potential benefits in terms of improving information quality, use, and net benefit. The cost of service ratio is within the benchmark value. This system has also considerably reduced out-of-pocket expenditure. Computer proficiency and the workload of other e-health programs pose a challenge in the implementation of this program. Conclusion The e-Upkaran system is competent in terms of improving information quality, use, and net benefit. Other Indian states could also adopt this system to improve their biomedical equipment management and maintenance system.

Assessment of e-aushadhi program (drug inventory e-health initiative in Rajasthan) using benefit evaluation framework.

Background: E-aushadhi is a drug supply chain management initiative of the Rajasthan government. This study is conducted to assess this e-health program as evidence is lacking in this context. Methods: A mix-method study was conducted. Primary data were recorded from key stakeholders using qualitative interviews. Secondary data were collected from internet-based searches, reports, documents, and available literature. Findings were contextualized into the Benefit-Evaluation framework using six dimensions. Results: E-aushadhi provides a systematic approach for sourcing, storing, and re-distribution of essential medicine through its three-tier structure. Its user-friendly dashboard entails accurate entries, customizable reports, and easy tracking. It has reduced workload and improved information management with timely drug supply while allowing monitoring with key performance indicators. Conclusions: E-aushadhi has been successful in improving beneficiary access at public health facilities and may act as a backbone architecture for various digital interventions in the National Digital Health Mission that supports the universal health coverage.

Economic analysis of ASHA-soft programme (online payment and monitoring system) in Jodhpur, Rajasthan.

Context: The Government of India under a performance-based payment scheme is providing remuneration as per the activities completed by the Accredited Social Health Activists (ASHA) health workers. Each state in India has a differentperformance-based payment system for ASHAs. The state of Rajasthan developed the ASHA-Soft system in 2014 for providing incentives to ASHAs. Aims: This study is planned to analyze the performance of ASHA-Soft considering the economic aspects as there is a paucity of studies in this context. Settings and Design: This study was conducted in Jodhpur, Rajasthan. Methods and Material: Economic analysis of ASHA-Soft program was performed based on Incentive paid to ASHA workers; Number of beneficiaries; Overall contribution of ASHAs in the health services; and unit cost per health service under ASHA-Soft program. Data of five financial years, that is, from the inception of ASHA-Soft was analyzed. Results: Consolidated incentive for maternal health, child health, and Immunization services provided to ASHAs through ASHA-Soft in the year 2015--16 was $96794.22, $35348.32, and $49016.83 which increased to $200285.00, $116320.52, and $101686.48 in the year 2019-20, respectively. Family planning and national program services were provided to 6,259 and 4,061 beneficiaries, respectively, in the year 2015--16 which markedly increased to 16,360 and 9,552 in the year 2019--20. Unit-cost of service provided by ASHAs in the National Programme ($1.13) was the lowest and for Family Planning Services ($5.71) were the highest. Conclusions: ASHA-Soft program seems a potential program to attract ASHA workers for delivering health care services. The findings of this study could assist policymakers in guiding further decision-making.

Assessment of monitoring and online payment system (Asha Soft) in Rajasthan using benefit evaluation (BE) framework.

CONTEXT: e-Health programs are implemented assuming that e-health/digital health can prove beneficial but pieces of evidence for assessing the actual benefits of e-health programs are lacking. AIMS: To utilize the benefit evaluation (BE) framework to assess Asha Soft, which is an online payment and performance monitoring system initiative taken by Rajasthan. SETTINGS AND DESIGN: BE of Asha Soft in Rajasthan. METHODS AND MATERIALS: BE of ASHA Soft was done using scoping review with consultation exercise. The rationale behind using this methodological framework is to contextualize knowledge of the current state of understanding within BE framework practice contexts. The themes used for data compilation and analysis were based on three broad dimensions of BE framework namely, health information technology quality, use, and net benefits. RESULTS: The state of Rajasthan has been the first in the country to start an online system of payment and monitoring of ASHA workers, through Asha Soft. It has administrative and supportive functions. Its simple and easy to use graphical user interference helps users to make accurate data entries and obtain desired monitoring and analytical reports. It has attributed to the availability of data on various parameters which help decision-maker to decide about the performance of ASHA worker and has brought a positive impact on the work performance of ASHAs. This online payment and monitoring mechanism has argumented motivational level and intention of use. The program has optimally utilized available human resources and no apparent monetary cost was involved in developing this software. CONCLUSIONS: This scoping study using the BE framework has provided evidence on the potential benefits of Asha Soft adoption in Rajasthan. It is recommended that future in-depth assessment of other e-health initiatives could be undertaken to guide the decision making.

The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study.

BACKGROUND: Drowning is a leading cause of injury-related mortality globally. Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65-74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury-related mortality in the Global Burden of Disease (GBD) study. This study's objective is to describe unintentional drowning using GBD estimates from 1990 to 2017. METHODS: Unintentional drowning from GBD 2017 was estimated for cause-specific mortality and years of life lost (YLLs), age, sex, country, region, Socio-demographic Index (SDI) quintile, and trends from 1990 to 2017. GBD 2017 used standard GBD methods for estimating mortality from drowning. RESULTS: Globally, unintentional drowning mortality decreased by 44.5% between 1990 and 2017, from 531 956 (uncertainty interval (UI): 484 107 to 572 854) to 295 210 (284 493 to 306 187) deaths. Global age-standardised mortality rates decreased 57.4%, from 9.3 (8.5 to 10.0) in 1990 to 4.0 (3.8 to 4.1) per 100 000 per annum in 2017. Unintentional drowning-associated mortality was generally higher in children, males and in low-SDI to middle-SDI countries. China, India, Pakistan and Bangladesh accounted for 51.2% of all drowning deaths in 2017. Oceania was the region with the highest rate of age-standardised YLLs in 2017, with 45 434 (40 850 to 50 539) YLLs per 100 000 across both sexes. CONCLUSIONS: There has been a decline in global drowning rates. This study shows that the decline was not consistent across countries. The results reinforce the need for continued and improved policy, prevention and research efforts, with a focus on low- and middle-income countries.

Economic Burden of Acute Stroke Care in Beneficiaries and Non-Beneficiaries under Social Security Schemes at Tertiary Care Hospitals of Western Rajasthan.

OBJECTIVE: A cost of illness study was conducted with aims to asses various cost of acute stroke care and its determinants among beneficiary (patients enrolled in any social security scheme) and non beneficiary (patients not enrolled in any social security scheme) of various social security schemes. METHOD: A cross-sectional study was conducted at government hospitals in western Rajasthan from March to May 2019. All consecutive stroke patients were enrolled during study period. Data related to socio-demographic, disease-related and cost-related data was collected by direct patient and main caregiver's interview. Primary study outcome was description of direct and indirect cost of acute stroke care among beneficiary and non beneficiary patients. Secondary outcome was description of determinants of cost or significant cost-driven variables. RESULTS: Total of 126 stroke patients were enrolled in 3 months. Mean age was 57.67 ± 15.0 and male: female ratio was 82:44. Both beneficiary and non-beneficiary patients were similar in baseline characteristic except monthly income (P < 0.01) Mean hospital stay was 6.52 ± 2.23 Total out of pocket direct cost among beneficiary was INR 12727.21 [95% C.I. 8658.50, 16795.92] and among non beneficiary was INR 23649.68 [95%C.I. 18591.37, 28707.99]. There was significant difference indirect cost of beneficiary and non-beneficiary patients (P < 0.01). Mean Indirect cost (wages loss) among beneficiary was INR 12414.75 [95% C.I. 9691.13, 15138.37] and among non-beneficiary was INR 16460 [95% C.I. 13044.81, 19875.19]. There was no significant difference in Indirect cost of beneficiary and non-beneficiary patients (P = 0.06). Monthly income, stroke severity (modified Rankin score) and hospital stay were significant direct cost determinants. CONCLUSION: Public health insurance scheme reduces direct cost of acute stroke care significantly. Severity of stroke and prolonged hospital stay were main cost-driven variables.

Clinical Validation of Innovative Optical-Sensor-Based, Low-Cost, Rapid Diagnostic Test to Reduce Antimicrobial Resistance.

The antibiotic susceptibility test determines the most effective antibiotic treatment for bacterial infection. Antimicrobial stewardship is advocated for the rational use of antibiotics to preserve their efficacy in the long term and provide empirical therapy for disease management. Therefore, rapid diagnostic tests can play a pivotal role in efficient and timely treatment. Here, we developed a novel, rapid, affordable, and portable platform for detecting uropathogens and reporting antibiogram to clinicians in just 4 h. This technology replicates the basic tenets of clinical microbiology including bacterial growth in indigenously formulated medium, and measurement of inhibition of bacterial growth in presence of antibiotic/s. Detection is based on chromogenic endpoints using optical sensors and is analyzed by a lab-developed algorithm, which reports antibiotic sensitivity to the antibiotics panel tested. To assess its diagnostic accuracy, a prospective clinical validation study was conducted in two tertiary-care Indian hospitals. Urine samples from 1986 participants were processed by both novel/index test and conventional Kirby Bauer Disc Diffusion method. The sensitivity and specificity of this assay was 92.5% and 82%, respectively (p < 0.0005). This novel technology will promote evidence-based prescription of antibiotics and reduce the burden of increasing resistance by providing rapid and precise diagnosis in shortest possible time.

Impact assessment of India's Swachh Bharat Mission - Clean India Campaign on acute diarrheal disease outbreaks: Yes, there is a positive change.

BACKGROUND: Enough evidence exists to attribute the occurrence of diarrheal disease outbreaks due to open defecation practice and unsafe sanitation methods. Open defecation enables pathogens such as virus, bacteria, and protozoa to infect humans by means of fecal-oral transmission methods through contaminated fluids, water, and fomites. To curb the malefic effects of open defecation, the Indian government had initiated pro sanitation program namely Swachh Bharat Mission (SBM) in 2014. SBM became the world's largest toilet-building initiative. More than 95 million toilets have been built across rural and urban India since the launch of this mission. This articulation summarizes the trend analysis of acute diarrheal disease (ADD) outbreaks over a 9-year period with emphasis on changes due to the building of toilets under the clean India campaign. METHODS: Weekly ADD outbreaks data from national-level Integrated Disease Surveillance Program between 2010 and 2018 were used for trend analysis along with the number of toilets constructed in rural areas under SBM from the year 2014. RESULTS: ADD outbreaks were analyzed from 2010 to 2018. The number of ADD outbreaks per year during the past 2 years (i.e., 2017 and 2018) of SBM regime was lesser than in any year during the investigation period. Seasonal variations during the months of May, June, July, and August account for 55%-60% of ADD outbreaks in any of the years; but for 2018, the total outbreaks were 46%, which is significantly lower than that of regular range of outbreaks in the peak season. CONCLUSION: The recent pattern of ADD outbreaks exhibits a declining rate.