Performance factors of mobile rich media job aids for community health workers

Flórez-Arango, José F.; Iyengar, M. Sriram; Dunn, Karen; Zhang, Jiajie

doi:10.1136/jamia.2010.010025

Cited by 65 publications

(60 citation statements)

References 15 publications

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“…Communication by mobile phone was highly acceptable to health workers 30–32 . Communication, mostly via text messages and phone calls, improved patient outcomes and health worker efficiency with increased protocol compliance, decreased error rates, and decreased time and expense spent contacting supervisors 29,32,35 . Communication between health worker and supervisor happened more frequently and efficiently when health workers did not have to travel to the clinic or institution 32 and when they had access to systems that linked patient data, such as an electronic medical record system 15 .…”

Section: Resultsmentioning

confidence: 99%

“…Communication between health worker and supervisor happened more frequently and efficiently when health workers did not have to travel to the clinic or institution 32 and when they had access to systems that linked patient data, such as an electronic medical record system 15 . In addition to improving patient health outcomes, text message reminders facilitated an adherence to protocols, which had not been previously followed 29,35 . Another found Traditional Birth Attendants increased their skills and confidence using mobile phones to access information via mobile phone on managing birth complications 28 .…”

Section: Resultsmentioning

confidence: 99%

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Health Worker mHealth Utilization

White

Thomas

Ezeanochie

et al. 2016

CIN: Computers, Informatics, Nursing

108

105

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This systematic review describes mHealth interventions directed at healthcare workers in low resource settings from the PubMed database from March, 2009 to May, 2015. Thirty-one articles were selected for final review. Four categories emerged from the reviewed articles: data collection during patient visits; communication between health workers and patients; communication between health workers; and public health surveillance. Most studies used a combination of quantitative and qualitative methods to assess acceptability of use, barriers to use, changes in healthcare delivery, and improved health outcomes. Few papers included theory explicitly to guide development and evaluation of their mHealth programs. Overall, evidence indicated that mobile technology tools, such as smartphones and tablets, substantially benefit healthcare workers, their patients, and health care delivery. Limitations to mHealth tools included insufficient program use and sustainability, unreliable Internet and electricity, and security issues. Despite these limitations, this systematic review demonstrates the utility of using mHealth in low-resource settings and the potential for widespread health system improvements using technology.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Health Worker mHealth Utilization

White

Thomas

Ezeanochie

et al. 2016

CIN: Computers, Informatics, Nursing

108

105

View full text Add to dashboard Cite

show abstract

“…In particular, mobile apps, or software applications developed specifically for use on small, wireless computing devices such as smartphones or tablets, have been shown to improve the quality of care provided to pregnant and recently delivered women through electronic decision support [17, 18, 22], health worker planning [23, 24], and data collection and reporting [19, 25–27]. The reported ease of use and adaptability of mobile apps (or applications) for diverse populations also makes them an attractive, low-cost platform for developing health education and clinical care strategies [28–30].…”

Section: Introductionmentioning

confidence: 99%

Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana

Rothstein

Jennings

Moorthy

et al. 2016

International Journal of Telemedicine and Applications

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Mobile phone applications may enhance the delivery of critical health services and the accuracy of health service data. Yet, the opinions and experiences of frontline health workers on using mobile apps to track pregnant and recently delivered women are underreported. This evaluation qualitatively assessed the feasibility, usability, and acceptability of a mobile Client Data App for maternal, neonatal, and child client data management by community health nurses (CHNs) in rural Ghana. The mobile app enabled CHNs to enter, summarize, and query client data. It also sent visit reminders for clients and provided a mechanism to report level of care to district officers. Fourteen interviews and two focus groups with CHNs, midwives, and district health officers were conducted, coded, and thematically analyzed. Results indicated that the app was easily integrated into care, improved CHN productivity, and was acceptable due to its capacity to facilitate client follow-up, data reporting, and decision-making. However, the feasibility and usability of the app were hindered by high client volumes, staff shortages, and software and device challenges. Successful integration of mobile client data apps for frontline health workers in rural and resource-poor settings requires real-time monitoring, program investments, and targeted changes in human resources.

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“…Studies have concentrated their efforts in improving their interventions prior to evaluating the acceptability (23,24) and others investigated the acceptability of mHealth interventions demonstrating positive results (25)(26)(27)(28). Each of these studies evaluated interventions other than smartphone applications, such as short messaging service (SMS), telecommunication interfaces as well as ehealth interventions emphasizing protocol compliance and treatment adherence respectively.…”

Section: Previous Mhealth Interventionsmentioning

confidence: 99%

“…Authors reported lack of knowledge to be the biggest limitation regarding the mHealth intervention. This impeded proper assessment of the application, as participants did not feel comfortable using it (25)(26)(27)(28). Based on a systematic review conducted by Gagnon et al, most mHealth studies evaluating acceptability of smartphone applications have been conducted amongst health care professionals such as nurses, pharmacists and health workers (18).…”

Section: Previous Mhealth Interventionsmentioning

confidence: 99%

Evaluating clinicians’ user experience and acceptability of LearnTB, a smartphone application for tuberculosis in India

Pande¹,

Saravu²,

Temesgen³

et al. 2017

mHealth

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Background: Tuberculosis (TB) is the leading infectious killer, and India accounts for 2.8 of the 10.4 million TB cases that occur each year, making it the highest TB burden country worldwide. Poor quality of TB care is a major driver of the epidemic in India. India's large private, unregulated sector manages over 50% of the TB patients, with studies showing suboptimal diagnosis and treatment in the private sector. Better education of doctors using mobile applications (apps) is a possible solution. While India has seen an explosion of mobile phone services, and while the use of mobile health interventions has been gaining interest, little is known about mHealth around tuberculosis in India.Methods: Our study aimed to understand the user experience and acceptability of a smartphone application, LearnTB, amongst private sector academic clinicians in India. This study was conducted amongst 101 clinicians at Kasturba Hospital, Manipal, India. The user experience of participants (part 1) and acceptability (part 2) were evaluated with the use of two valid, English, paper-based questionnaires. The first questionnaire was based on the System Usability Scale (SUS); the second questionnaire was based on the Technology Acceptance Model (TAM). Data were collected during February and March 2017 and were analyzed using descriptive statistics, multiple linear regression as well as logistic regression analysis.Results: A response rate of 99% was achieved; 100 participants responded to the second questionnaire and Conclusion:The first part of the study indicated high user experience of the LearnTB application. The TAM questionnaire (second part) explained a significant portion of the variance in clinicians' IU the LearnTB application. The PU of the application has the highest impact on the clinicians' IU the Learn TB application.This study provides a preliminary analysis of mobile health interventions for tuberculosis in India, and emphasizes the need for future research in this domain. mHealth, 2017

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Performance factors of mobile rich media job aids for community health workers

Abstract: These results indicate encouraging prospects for mHealth technologies in general, and the use of rich media clinical guidelines on cell phones in particular, for the improvement of community health worker performance in developing countries.

Cited by 65 publications

References 15 publications

Health Worker mHealth Utilization

Health Worker mHealth Utilization

Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana

Evaluating clinicians’ user experience and acceptability of LearnTB, a smartphone application for tuberculosis in India

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