Is membership in microfinance initiatives associated with viral load suppression among HIV patients? Evidence from western Kenya by Bishnu Bahadur Thapa, Becky Genberg, Juddy Wachira, Jon Steingrimsson, Omar Galarraga

“…The finding that GISHE participation was associated with a greater likelihood of viral load suppression held even after addressing the missing data problem. Conclusions We conclude that GISHE-type programs hold promise as scalable interventions to combat HIV/AIDS in Kenya and other countries where the disease is a generalized epidemic.…”
Get full text

Exploring machine learning algorithms to predict short birth intervals and identify its determinants among reproductive-age women in East Africa by Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante

“…The dataset undergoes preprocessing steps to handle missing values, encode categorical variables, perform feature selection, and integrate data and normalize numerical features. …”
Get full text

Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…A rigorous data preprocessing workflow included missing value imputation, correlation checks, and expert-driven feature selection, reducing an initial set of features to a subset of critical predictors encompassing demographics, comorbidities, laboratory values, and clinical interventions. …”
Get full text

Mobile Health Tool to Capture Social Determinants of Health and Their Impact on HIV Treatment Outcomes Among People Who Use Drugs: Pilot Feasibility Study by Rachel E Gicquelais, Caitlin Conway, Olivia Vjorn, Andrew Genz, Gregory Kirk, Ryan Westergaard

“…ObjectiveWe evaluated whether real-time reports of social and behavioral factors using a smartphone app could predict viral nonsuppression and missed care visits to inform future mobile health interventions. …”
Get full text

Reporting of oral chemical restraint in the Mental Health Services Monthly Statistics for England by Thomas Cranshaw, Harry Matchette-Downes, Keith Reid

“…Results The data-set has large amounts of missing data. The use of oral chemical restraint is proportional to provider size in terms of bed days. …”
Get full text

A machine learning-based risk prediction model for diabetic oral ulceration by Wang Xiaoling, Wang BingQian, Zhu Zhenqi, Li Wen, Gu Shuyan, Chen Hanbei, Xin Feng, Chenglong Yang, Jutang li, Guoyao Tang, Jie Wei

“…Future research should focus on validating the model across larger, multicenter cohorts and further exploring the long-term impact of ML-guided interventions on DOU management.…”
Get full text

Using Virtual Reality to Enhance Surgical Skills and Engagement in Orthopedic Education: Systematic Review and Meta-Analysis by Ting Li, Jingxin Yan, Xin Gao, Hangyu Liu, Jin Li, Yuanting Shang, Xiaoyu Tang

“…A total of 3 studies were missing the age of participants, and 5 studies were also missing the duration data. …”
Get full text

Exploring the connection between maternal mental health and partnership, parental role, and satisfaction with various aspects of life using pairfam data: a cross-sectional analysis by Monique Förster, Claudia Kirsch, Julia Habermann, Dorothee Noeres

“…Further analysis, however, is needed in order to better understand the origins of impaired parental health and to improve the interventions. The present study focuses on maternal mental health and its association with strains related to mothers’ parental role, their partnership, and satisfaction with various aspects of life. …”
Get full text

Systematic review finds that study data not published in full text articles have unclear impact on meta-analyses results in medical research. by Christine M Schmucker, Anette Blümle, Lisa K Schell, Guido Schwarzer, Patrick Oeller, Laura Cabrera, Erik von Elm, Matthias Briel, Joerg J Meerpohl, OPEN consortium

“…If missing outcome data differ systematically from published ones, a meta-analysis will be biased with an inaccurate assessment of the intervention effect. …”
Get full text

Cohort profile: Health and Attainment of Pupils in a Primary Education National Cohort (HAPPEN) – a hybrid total population cohort in Wales, UK by Amrita Bandyopadhyay, Michaela James, Gareth Stratton, Sinead Brophy, Emily Marchant, Hope Jones, Amy Locke, Jonathan L Kennedy, David W E Burdett

“…Ongoing research includes the evaluation of interventions for primary school children such as natural experiment methods, free school meal roll-out in Wales, interventions to improve physical literacy including changes to the built environment and interventions to improve the health and well-being of primary school children.…”
Get full text

Oversharing Behavior in Gen Z on Social Media by Edy Susilo Muhammad, Prayudi Prayudi, Yanu Florestiyanto Mangaras

“…Key influences include the need for social validation, fear of missing out (FOMO), and the desire for a strong digital presence. …”
Get full text

A data-driven supervised machine learning approach to estimating global ambient air pollution concentrations with associated prediction intervals by Liam Jordan Berrisford, Hugo Barbosa, Ronaldo Menezes

“…Global ambient air pollution, a transboundary challenge, is typically addressed through interventions relying on data from spatially sparse and heterogeneously placed monitoring stations. …”
Get full text

Testing Assumptions in Deliberative Democratic Design: A Preliminary Assessment of the Efficacy of the Participedia Data Archive as an Analytic Tool by Graham Smith, John Gastil, Matt Ryan, Robert C. Richards

“…To test those claims, we extract and code case studies from Participedia.net, a research platform that has adopted a self-directed crowd-sourcing strategy to collect data on participatory institutions and deliberative interventions around the world. We explain and confront the challenges faced in coding and analyzing the Participedia cases, which involves managing reliability issues and missing data. …”
Get full text

Review of open libraries for pharmacoeconomic analysis in R environment by I. A. Lackman, R. I. Sladkov, V. M. Timiryanova

“…The selected libraries can be divided into three classes: packages for calculating various quality of life indices, libraries for calculating indicators and indices of economic effectiveness of medical interventions (DALY, QALY, ICER), libraries for performing sensitivity analysis of the effect of medical interventions based on decision tree algorithms and Markov models. …”
Get full text

Trends in low birth weight across 36 states and union territories in India, 1993-2021 by Omar Karlsson, Rockli Kim, SV Subramanian, Akhil Kumar

“…This finding suggested a possible impact of interventions prompted by dire figures in the earliest surveys, yet also stresses the necessity for continued interventions across all states to maintain and further progress. …”
Get full text

Decoding discharge: accuracy of primary and secondary diagnoses in summaries by Abir Aijaz, Frances Steele, Alice Erlander Milne, Victoria Clarke, Kimberley Arme, Abdul Bhat

“…This planned QIP and re-audit will evaluate the success of these interventions, ensuring continued improvement in coding practices.…”
Get full text

Lampedusa. Memorial for the Shipwreck of the 3rd of October, 2013 by Vincenzo Latina

“…On 3rd October, 2013 near the coast of Lampedusa there was a shipwreck with a tragic epilogue of 368 dead and 20 missing. On the wall in contact with the coast, 368 holes were made, they look like air bubbles frozen in the rock which are trying to reach the surface. …”
Get full text

Treatment adherence and its association with family support among pulmonary tuberculosis patients in Jinja, Eastern Uganda by Businge Alinaitwe, Nilufar Jivraj Shariff, Bindu Madhavi Boddupalli

“…Having no caregivers and missing refill appointments were associated with poor average adherence scores (p < 0.0001). …”
Get full text

Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review by Ajay Aggarwal, Ophira Ginsburg, Richard Sullivan, Andrew Hope, Peng Yun Ng, Sheba Macheka

“…Despite recent uptake in AI research and adoption, the extent to which it improves quality, efficiency and equity of care beyond cancer diagnostics is uncertain to date.Interventions We appraised all studies using Risk of Bias Assessment of Randomised Controlled Trials (ROB­2) and Risk of Bias In Non­randomised Studies- of Interventions (ROBIN­I) quality assessment tools, as well as implementational analysis concerning time, cost and resource, to ascertain the quality of clinical evidence and real-world feasibility of AI.Results The results revealed that the majority of AI oncological research remained experimental without prospective clinical validation or deployment. …”
Get full text

Prevalence and types of medication errors in pro re nata medication orders among hospitalized patients: a cross-sectional study by Arefeh Rasouli-Rad, Mahdi Ahmadinia, Azadeh Eshraghi, Hamidreza Aslani, Zahra Karimian, Akram Hashemi, Maryam Farasatinasab

“…Major predictors of PRN errors included missing dosage intervals and admission to high-dependency wards. …”
Get full text