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1.
Indian J Public Health ; 68(2): 305-309, 2024 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-38953824

RESUMO

Digital health interventions can overcome geographical barriers and prepare health-care providers for better health outcomes in rural and remote tribal areas, however, it has not been explored among traditional birth attendants (TBAs). A mobile application, "maternal and infant care" (MAI) for capacity building of tribal birth attendants was developed and its quality was evaluated using the Mobile Application Rating Scale for user's interest in and satisfaction with the esthetics, information, and functionality. Thirteen Android user TBAs with the MAI application were piloted with the MARS checklist. Engagement, functionality, esthetics, and information quality; and one subjective quality scale having 29 items were used. The application was found to be entertaining excellent rating (mean score ± standard deviation) (4.00 ± 0.58), and scored high on performance (3.77 ± 0.93); layout design (3.85 ± 0.90); subjective quality (4.23 ± 0.93), however, scored minimum on interest; gestural design; visual appeal, etc. MAI is a user-friendly, culturally acceptable Android app that can be used for the capacity building of frontline workers.


Assuntos
Tocologia , Aplicativos Móveis , Humanos , Feminino , Índia , Gravidez , Recém-Nascido , Cuidado do Lactente/normas , Adulto , Lactente , Serviços de Saúde Materna/normas , Serviços de Saúde Materna/organização & administração
2.
Addict Health ; 15(1): 53-62, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-37560082

RESUMO

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.

3.
PLoS One ; 18(3): e0283263, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36972242

RESUMO

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.


Assuntos
Diabetes Mellitus , Síndrome Metabólica , Humanos , Adulto , Síndrome Metabólica/diagnóstico , Síndrome Metabólica/epidemiologia , Lista de Checagem , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiologia , Diabetes Mellitus/prevenção & controle , Fatores de Risco , Curva ROC , Medição de Risco
4.
J Maxillofac Oral Surg ; 19(2): 251-256, 2020 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32346236

RESUMO

BACKGROUND: Oral submucous fibrosis (OSMF) has been extensively researched for its etiopathogenesis, malignant potential, and various available treatment modalities, but its effect on different domains of patient's life has not been thoroughly investigated. The present study aimed to clearly construe the effects of OSMF like severity and demographic variables on different domains of quality of life in OSMF patients. METHODS: A cross-sectional study was conducted in the Department of Dentistry, AIIMS Jodhpur, India. A total of 200 patients (after informed consent) were selected and detailed proforma filled including patient's demographics, habits, clinical features, and quality of life using a World Health Organization Quality of life-BREF tool (WHOQOL-BREF questionnaire). Thereafter, interpretation and statistics were done by a separate trained examiner minimizing the risk of assessment bias. RESULT: Quality of life (QOL) scores differed significantly according to age, site affected, habit duration, and severity of OSMF. It, however, did not differ according to gender. CONCLUSION: In this study, there has been a statistically significant deterioration of quality of life in OSMF patients in all the domains. Realization of this would increase our chance to bring the focus of the society and its policy makers to confront the growing menace of OSMF.

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