Digital Commons Network^™

Association Of Dairy Consumption With Metabolic Syndrome, Hypertension And Diabetes In 147 812 Individuals From 21 Countries, Balaji Bhavadharini, Mahshid Dehghan, Andrew Mente, Sumathy Rangarajan, Patrick Sheridan, Viswanathan Mohan, Romaina Iqbal, Rajeev Gupta, Scott Lear, Edelweiss Wentzel-Viljoen

Community Health Sciences

Objective: Our aims were to assess the association of dairy intake with prevalence of metabolic syndrome (MetS) (cross-sectionally) and with incident hypertension and incident diabetes (prospectively) in a large multinational cohort study.
Methods: The Prospective Urban Rural Epidemiology (PURE) study is a prospective epidemiological study of individuals aged 35 and 70 years from 21 countries on five continents, with a median follow-up of 9.1 years. In the cross-sectional analyses, we assessed the association of dairy intake with prevalent MetS and its components among individuals with information on the five MetS components (n=112 922). For the prospective analyses, we …

Computer Aided Detection Of Tuberculosis On Chest Radiographs: An Evaluation Of The Cad4tb V6 System, Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst T. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen

Community Health Sciences

There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6 of CAD4TB was released in 2018 and is here tested on a fully independent dataset of 5565 CXR images with GeneXpert (Xpert) sputum test results available (854 Xpert positive subjects). A subset of 500 subjects (50% Xpert positive) was reviewed and annotated by 5 expert observers independently to obtain a radiological reference standard. The …

Mainstreaming Nutrition Services: Stabilization Centers And Outpatient Therapeutic Program Centers, Ashar Muhammad Malik

Community Health Sciences

No abstract provided.

Prevalence And Determinants Of Anemia Among Women Of Reproductive Age In Developing Countries, Sumera Aziz Ali, Umber S. Khan, Anam Shahil Feroz

Community Health Sciences

Anemia is one of the major causes of maternal mortality and morbidity across the globe, affecting around two-thirds of pregnant women in developing countries. The objective of this study was to synthesise study findings regarding the prevalence and determinants of anemia among women of reproductive age in developing countries. A total of 28 articles were reviewed by two authors for preliminary screening after removing overlapping information. Finally, 15 studies conducted from 2000 to 2015 were included in the review. The average prevalence of anemia was found to be 46.5% with a range of 18.1% to 75% in different studies. Factors …

Preconception Nutrition Intervention Improved Birth Length And Reduced Stunting And Wasting In Newborns In South Asia: The Women First Randomized Controlled Trial, Sangappa M. Dhaded, K. Michael Hambidge, Sumera Aziz Ali, Manjunath Somannavar, Sarah Saleem, Omrana Pasha, Umber Khan, Veena Herekar Herekar, Sunil Vernekar, Yogesh Kumar S

Community Health Sciences

South Asia has >50% of the global burden of low birth weight (LBW). The objective was to determine the extent to which maternal nutrition interventions commenced before conception or in the 1st trimester improved fetal growth in this region. This was a secondary analysis of combined newborn anthropometric data for the South Asian sites (India and Pakistan) in the Women First Preconception Maternal Nutrition Trial. Participants were 972 newborn of mothers who were poor, rural, unselected on basis of nutritional status, and had been randomized to receive a daily lipid-based micronutrient supplement commencing ≥3 months prior to conception (Arm 1), …

A Multicenter Case Control Study Of Association Of Vitamin D With Breast Cancer Among Women In Karachi, Pakistan, Uzma Shamsi, Shaista Khan, Syed Iqbal Azam, Aysha Habib, Amir Maqbool, Mohammad Hanif, Tiffany Gill, Romaina Iqbal, David Callen

Community Health Sciences

Background: The prevalence of vitamin D inadequacy and breast cancer are both high among women living in Karachi, Pakistan.
Methods: A matched case control study was conducted in two hospitals of Karachi, Pakistan to evaluate the association of vitamin D (serum 25-hydroxyvitamin D) concentrations, vitamin D supplementation and sun exposure with breast cancer among Pakistani women. A total of 411 newly diagnosed histologically confirmed primary breast cancer cases were enrolled and 784 controls, free of breast and any other cancers, were matched by age (year of birth ± 5 years), residence in the same geographic area and study site. Information …

Using Mobile Phones To Improve Community Health Workers Performance In Low-And-Middle-Income Countries, Anam Shahil Feroz, Rawshan Jabeen, Sarah Saleem

Community Health Sciences

Background: In low-and-middle-income countries community health workers are the core component of the PHC system as they act as a liaison between the communities and the healthcare facilities. Evidence suggests that the services offered by these workers have helped in the decline of maternal and child morbidity and mortality rates and the burden of communicable and non-communicable diseases. However, the coverage and the overall progress towards achieving the SDG targets is very sluggish. The recent consensus concerning this current pace of progress, is that it relates to financial and human resources constraints. CHWs are overburdened as they are expected to …

Exploring The Potential Of Artificial Intelligence And Machine Learning To Combat Covid-19 And Existing Opportunities For Lmic: A Scoping Review, Maleeha Naseem, Ramsha Akhund, Hajra Arshad, Muhammad Talal Ibrahim

Community Health Sciences

Background: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine Learning (ML) have a vast potential to exponentially optimize health care research. The use of AI-driven tools in LMIC can help in eradicating health inequalities and decrease the burden on health systems.
Methods: The literature search for this Scoping review was conducted through the PubMed database using keywords: COVID-19, Artificial Intelligence (AI), Machine Learning (ML), and Low Middle-Income Countries (LMIC). Forty-three articles were …

Assessing The Efficiency Of Sub-National Units In Making Progress Towards Universal Health Coverage: Evidence From Pakistan, Faraz Khalid, Maria Petro Brunal, Abdul Sattar, Samia Laokri, Matthew Jowett, Wajeeha Raza, David R. Hotchkiss

Community Health Sciences

The World Health Report 2010 encourages countries to reduce wastage and increase efficiency to achieve Universal Health Coverage (UHC). This research examines the efficiency of divisions (sub-provincial geographic units) in Pakistan in moving towards UHC using Data Envelop Analysis. We have used data from the Pakistan National Accounts 2011-12 and the Pakistan Social Living and Measurement Survey 2012-13 to measure per capita pooled public health spending in the divisions as inputs, and a set of UHC indicators (health service coverage and financial protection) as outputs. Sensitivity analysis for factors outside the health sector influencing health outcomes was conducted to refine …

Operability, Acceptability, And Usefulness Of A Mobile App To Track Routine Immunization Performance In Rural Pakistan: Interview Study Among Vaccinators And Key Informants, Shehla Zaidi, Saqib Ali Shaikh, Saleem Sayani, Abdul Momin Kazi, Adeel Khoja, Syed Shahzad Hussain, Rabia Najmi

Community Health Sciences

Background: There has been a recent spate of mobile health (mHealth) app use for immunizations and other public health concerns in low- and middle-income countries. However, recent evidence has largely focused on app development or before-and-after effects on awareness or service coverage. There is little evidence on the factors that facilitate adoption of mHealth programs, which is critical to effectively embed digital technology into mainstream health systems.

Objective: This study aimed to provide the qualitative experiences of frontline health staff and district managers while engaging with real-time digital technology to improve the coverage of routine childhood immunization in an underserved …