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.

Recalibrating the Non-Communicable Diseases risk prediction tools for the rural population of Western India.

BACKGROUND: The aim of the present study was to recalibrate the effectiveness of Indian Diabetes Risk Score (IDRS) and Community-Based Assessment Checklist (CBAC) by opportunistic screening of Diabetes Mellitus (DM) and Hypertension (HT) among the people attending health centres, and estimating the risk of fatal and non-fatal Cardio-Vascular Diseases (CVDs) among them using WHO/ISH charts. METHODS: All the people aged ≥ 30 years attending the health centers were screened for DM and HT. Weight, height, waist circumference, and hip circumferences were measured, and BMI and Waist-Hip Ratio (WHR) were calculated. Risk categorization of all participants was done using IDRS, CBAC, and WHO/ISH risk prediction charts. Individuals diagnosed with DM or HT were started on treatment. The data was recorded using Epicollect5 and was analyzed using SPSS v.23 and MedCalc v.19.8. ROC curves were plotted for DM and HT with the IDRS, CBAC score, and anthropometric parameters. Sensitivity (SN), specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy and Youden's index were calculated for different cut-offs of IDRS and CBAC scores. RESULTS: A total of 942 participants were included for the screening, out of them, 9.2% (95% CI: 7.45-11.31) were diagnosed with DM for the first time. Hypertension was detected among 25.7% (95% CI: 22.9-28.5) of the participants. A total of 447 (47.3%) participants were found with IDRS score ≥ 60, and 276 (29.3%) with CBAC score > 4. As much as 26.1% were at moderate to higher risk (≥ 10%) of developing CVDs. Area Under the Curve (AUC) for IDRS in predicting DM was 0.64 (0.58-0.70), with 67.1% SN and 55.2% SP (Youden's Index 0.22). While the AUC for CBAC was 0.59 (0.53-0.65). For hypertension both the AUCs were 0.66 (0.62-0.71) and 0.63 (0.59-0.67), respectively. CONCLUSIONS: IDRS was found to have the maximum AUC and sensitivity thereby demonstrating its usefulness as compared to other tools for screening of both diabetes and hypertension. It thus has the potential to expose the hidden NCD iceberg. Hence, we propose IDRS as a useful tool in screening of Diabetes and Hypertension in rural India.

Predictive ability of complete blood count, mean platelet ratio, mean platelet volume, and neutrophil/lymphocyte ratio for severe pneumonia among RT-PCR or radiologically proven COVID-19 patients.

Background: Immuno-inflammatory markers related to white blood cells, and platelets are shown to be associated with COVID-19 infection, and considered to be independent markers for clinical outcomes and mortality. The present study aimed to study the predictive value of these hematologic parameters in progression of COVID-19 to severe pneumonia. Methods: This was an analytical cross-sectional study conducted among RT-PCR or radiologically proven COVID-19 patients in a tertiary care hospital in Rajasthan. Semi-structured questionnaire was used to collect the epidemiological information of the patients with COVID-19. Complete blood count and other laboratory parameters were also studied among the patients. Results: Mean age of participants in the study was 52 years, with about 70% being males. Cough and breathlessness were the most common symptoms among the patients. It was found that the parameters related to white blood cells were significantly different between patients with COVID-19 infection and severe pneumonia (except absolute monocyte count). NLR was significantly higher among those with severe pneumonia. In the univariate analysis, age (OR - 1.02), NLR (OR - 1.16), and albumin (OR - 0.45) were found to be significant predictors of progression to severe pneumonia. In the final model, adjusted for confounders, only NLR and albumin levels significantly predicted progression to severe pneumonia among COVID-19 patients. Conclusion: The study consolidates the predictive ability of NLR for severe pneumonia. It is an important finding, as health facilities with limited access to laboratory investigations can rely on simple markers in routine practice to predict the progression of COVID-19 infection to severe pneumonia.