Assessment of knowledge about healthy heart habits in urban and rural population of Punjab after SMS campaign-A cross-sectional study

Use of modern technologies for promoting health at the population level in India

India, with a population of 1.4 billion, faces health equity challenges due to inaccessible public health systems, particularly in rural areas. Modern technologies like the internet and mobile phones are being used to bridge this gap, enhancing health equity by disseminating vital health information. Health Technology Assessment (HTA) evaluates these technologies, influencing healthcare policy and improving health outcomes. Key strategies include digital health hubs, mobile health units, public-private partnerships, and digital tools for community health workers. To scale these interventions, capacity building, infrastructure development, community engagement, and monitoring are required. Policymakers are urged to prioritize investments in health technologies based on evidence, considering cost-effectiveness, health outcomes, and health equity. Addressing data privacy and security is crucial. Future research should focus on technology-based interventions for maternal and child health.

WeChat-based mobile health management for short-stature children with long-term growth hormone therapy: A nonexperimental study

Objective

To evaluate the role of a WeChat-based mobile platform in growth hormone therapy.

Method

Growth hormone therapy and health education information for height growth were embedded in a WeChat-based mobile platform, and the platform was evaluated through medical staff assessments, patient volunteer assessments and quantitative scoring criteria.

Results

In the medical staff evaluation, both clinicians and nurses had a positive attitude towards the mobile platform, believing that the design of the mobile platform was clearly visualized and easy to operate. In family volunteers' evaluations, the summary of β-testing results showed that 90-100% of parents had a positive attitude towards the WeChat-based mobile platform. Parents of the patients and doctors and nurses assessed the mobile platform by reviewing quantitative scoring standards developed by professional researchers. All scores were >16 (the average score was 18-19.3). Children treated with growth hormone therapy were included for compliance tracking for one year, and patient adherence was described in this study.

Conclusion

The interaction based on the WeChat platform and the health education of the public have greatly increased the interaction between doctors and patients, and improved patient satisfaction and compliance.

Impact of physical activity and cooking oil amongst diabetes with coexisting hypertension patients on economic cost and length of stay: A 1914 patient's observational study

AIM OF THE STUDY

The study aimed to investigate the impact of the patients' physical activity status and the type of cooking oil consumed by patients in their daily routine on glycaemic profile, lipid profile, the hypertensive profile of the patients, the length of stay and overall cost of the treatment.

METHODS

This is a prospective observational study. All the patients referred to the medicine department of the three different hospitals located in Moga, City Punjab, and those hospitalised due to diabetes mellitus (types I and II) with coexisting hypertension were asked to participate in the study.

RESULTS

The patients' mean age was found to be M = 53.85, SD = 11.54 years. Out of 1914 patients, 914 were male (47.8%); it was observed that the majority of the patients 525 (27.43%) in North India using butter or ghee-clarified butter as edible oil, followed by mustard oil 517 (27.01%) patients. About 345 (18.03%) of the patients consume soybean oil, whereas 226 (11.81%) of the patients like sunflower oil.

CONCLUSION

This study explored that cooking oil and physical activity are associated with length of stay in days and overall cost of the treatment, respectively. Our study results revealed that the type of oil compared with the treatment's overall cost was significant for olive oil, soybean oil and groundnut oil. The study revealed that moderate and low physical activity increases the length of stay compared to high physical activity. The consumption of olive oil as a regular food habit in daily routine decreases patients' length of stay with diabetes with coexisting hypertension when doing high physical activity but increases the overall cost of treatment.

Can mHealth and eHealth improve management of diabetes and hypertension in a hard-to-reach population? -lessons learned from a process evaluation of digital health to support a peer educator model in Cambodia using the RE-AIM framework

BACKGROUND

The burden of non-communicable diseases (NCDs) is increasing in low- and middle-income countries (LMICs) where NCDs cause 4:5 deaths, disproportionately affect poorer populations, and carry a large economic burden. Digital interventions can improve NCD management for these hard-to-reach populations with inadequate health systems and high cell-phone coverage; however, there is limited research on whether digital health is reaching this potential. We conducted a process evaluation to understand challenges and successes from a digital health intervention trial to support Cambodians living with NCDs in a peer educator (PE) program.

METHODS

MoPoTsyo, a Cambodian non-governmental organization (NGO), trains people living with diabetes and/or hypertension as PEs to provide self-management education, support, and healthcare linkages for better care management among underserved populations. We partnered with MoPoTsyo and InSTEDD in 2016-2018 to test tailored and targeted mHealth mobile voice messages and eHealth tablets to facilitate NCD management and clinical-community linkages. This cluster randomized controlled trial (RCT) engaged 3,948 people and 75 PEs across rural and urban areas. Our mixed methods process evaluation was guided by RE-AIM to understand impact and real-world implications of digital health. Data included patient (20) and PE interviews (6), meeting notes, and administrative datasets. We triangulated and analyzed data using thematic analysis, and descriptive and complier average causal effects statistics (CACE).

RESULTS

Reach: intervention participants were more urban (66% vs. 44%), had more PE visits (39 vs. 29), and lower uncontrolled hypertension [12% and 7% vs. 23% and 16% uncontrolled systolic blood pressure (SBP) and diastolic blood pressure (DBP)]. Adoption: patients were sent mean [standard deviation (SD)] 30 [14] and received 14 [8] messages; 40% received no messages due to frequent phone number changes. Effectiveness: CACE found clinically but not statistically significant improvements in blood pressure and sugar for mHealth participants who received at least one message vs. no messages. Implementation: main barriers were limited cellular access and that mHealth/eHealth could not solve structural barriers to NCD control faced by people in poverty. Maintenance: had the intervention been universally effective, it could be paid for from additional revolving drug fund revenue, new agreements with mobile networks, or the government.

CONCLUSIONS

Evidence for digital health to improve NCD outcomes in LMICs are limited. This study suggests digital health alone is insufficient in countries with low resource health systems and that high cell phone coverage did not translate to access. Adding digital health to an NCD peer network may not significantly benefit an already effective program; mHealth may be better for hard-to-reach populations not connected to other supports. As long as mHealth remains an individual-level intervention, it will not address social determinants of health that drive outcomes. Future digital health research and practice to improve NCD management in LMICs requires engaging government, NGOs, and technology providers to work together to address barriers.

Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review

Background

The use of mobile health (mHealth) technologies to improve population-level health outcomes around the world has surged in the last decade. Research supports the use of mHealth apps to improve health outcomes such as maternal and infant mortality, treatment adherence, immunization rates, and prevention of communicable diseases. However, developing countries face significant barriers to successfully implement, sustain, and expand mHealth initiatives to improve the health of vulnerable populations.

Objective

We aimed to identify and synthesize barriers to the use of mHealth technologies such as text messaging (short message service [SMS]), calls, and apps to change and, where possible, improve the health behaviors and health outcomes of populations in developing countries.

Methods

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Deriving search criteria from the review’s primary objective, we searched PubMed and CINAHL using an exhaustive terms search (eg, mHealth, text messaging, and developing countries, with their respective Medical Subject Headings) limited by publication date, English language, and full text. At least two authors thoroughly reviewed each article’s abstract to verify the articles were germane to our objective. We then applied filters and conducted consensus meetings to confirm that the articles met the study criteria.

Results

Review of 2224 studies resulted in a final group of 30 articles for analysis. mHealth initiatives were used extensively worldwide for applications such as maternal health, prenatal care, infant care, HIV/AIDS prevention, treatment adherence, cardiovascular disease, diabetes, and health education. Studies were conducted in several developing countries in Africa, Asia, and Latin America. From each article, we recorded the specific health outcome that was improved, mHealth technology used, and barriers to the successful implementation of the intervention in a developing country. The most prominent health outcomes improved with mHealth were infectious diseases and maternal health, accounting for a combined 20/30 (67%) of the total studies in the analysis. The most frequent mHealth technology used was SMS, accounting for 18/30 (60%) of the studies. We identified 73 individual barriers and grouped them into 14 main categories. The top 3 barrier categories were infrastructure, lack of equipment, and technology gap, which together accounted for 28 individual barriers.

Conclusions

This systematic review shed light on the most prominent health outcomes that can be improved using mHealth technology interventions in developing countries. The barriers identified will provide leaders of future intervention projects a solid foundation for their design, thus increasing the chances for long-term success. We suggest that, to overcome the top three barriers, project leaders who wish to implement mHealth interventions must establish partnerships with local governments and nongovernmental organizations to secure funding, leadership, and the required infrastructure.