Assessing the feasibility of mobile phones for follow-up of acutely unwell children presenting to village clinics in rural northern Malawi.

BACKGROUND: Patient follow-up is a routine component of clinical practice and valuable for evaluating the effectiveness of interventions, but because of the broad dispersion of health facilities and lack of standardised medical reporting in Malawi, collecting patient outcome data can be challenging. Increasing accessibility and affordability of mobile technology in resource-poor settings may facilitate patient follow-up in the community. The objective of this study was to evaluate the potential utility of mobile phones for collecting follow-up clinical data from parents or caregivers of acutely unwell under-5 children, for intervention evaluation purposes. METHODS: Parents' or caregivers' mobile phone numbers were obtained by health surveillance assistants (HSAs) during study enrollment. Guardians who provided a telephone number were contacted by the study team to establish re-consultations or hospitalisations of their child(ren) within 14 days of recruitment. Health records at village clinics and higher-level health facilities were hand-searched to identify or confirm presentations and abstract clinical data. RESULTS: 87 out of 149 (58.4%) guardians provided a mobile telephone number, of whom the study team could contact 44 (29.5%). Seven guardians stated they took their child for further treatment: three of these returned to village clinics and four presented to secondary care facilities; attendance could only be confirmed from health records for one child. CONCLUSIONS: With continued expansion of cellular network coverage and mobile ownership in Malawi, mobile phones may facilitate collection of patient outcomes for intervention evaluation purposes. Future consideration should also be given to integrating mobile technologies into HSA clinical practice

Perceptions of a mobile health intervention for Community Case Management in Malawi: Opportunities and challenges for Health Surveillance Assistants in a community setting

AbstractBackground Improved availability of mobile phones in low- and middle-income countries (LMICs) offer an opportunity to improve delivery of Community Case Management (CCM). Despite enthusiasm for introducing mHealth into healthcare across LMICs, end-user attitudes towards mHealth solutions for CCM are limited. We aimed to explore Health Surveillance Assistants’ (HSAs) perceptions of the Supporting LIFE electronic CCM Application (SL eCCM App) and their experiences incorporating it as part of their clinical practice. Methods This exploratory qualitative study was part of a mixed methods feasibility study investigating whether children under-5 presenting to village clinics could be followed-up to collect patient outcome data. The convenience sample of 12 HSAs enrolled into the feasibility study participated in semi-structured interviews, which were conducted at village clinics after HSAs had field-tested the SL eCCM App over a 10-day period. Interviews explored HSAs perceptions of the SL eCCM App and their experiences in using the App in addition to paper CCM to assess and treat acutely unwell children. Open coding was used to label emerging concepts, which were iteratively defined and developed into six key themes. Results HSAs’ perceived enhanced clinical decision-making, quality of CCM delivery, and work efficiency as opportunities associated with using the SL eCCM App. HSAs believed the inability to retrieve patient records,, cumbersome duplicate assessments/data entry study procedures, and inconsistencies between the SL eCCM App and paper-based CCM guidelines as challenges to implementation. Adding features to the App, such as, permitting communication between colleagues/supervisors, drug stock-out reporting, and community assessments, were identified as potentially supporting HSAs’ many roles in the community. Conclusion This study identified opportunities and challenges associated with using the SL eCCM App in Malawi. This information can be used to inform future development and evaluation of the SL eCCM App, and similar mHealth solutions for CCM in Malawi and other developing countries.

Enhancing Information Quality as Part of the Disease Surveillance System in Malawi, Africa: Reflections on a mHealth Intervention

Public health surveillance and response to disease outbreaks is still a hurdle in many developing countries across sub-Saharan Africa. Pivotal in disease surveillance and response is the reliance on valid information, hence, the need for information which has high Information Quality (IQ) characteristics. A key issue with disease surveillance systems, stem from the diverse range of data sources with various levels of information quality that may affect the trustworthiness of the information. However, with the increasing diffusion of mobile phone technologies, there are opportunities to improve IQ. The aim of this study was to assess the information quality in data collected through a smartphone application. Based on qualitative data from interviews, workshop and system specifications, it was found that information quality improves with the use of smartphone applications but aspects such as user competence and trustworthiness, must be addressed to maximize the benefits of using mobile technologies for disease surveillance

Training community healthcare workers on the use of information and communication technologies: a randomised controlled trial of traditional versus blended learning in Malawi, Africa.

BACKGROUND: Despite the increasing uptake of information and communication technologies (ICT) within healthcare services across developing countries, community healthcare workers (CHWs) have limited knowledge to fully utilise computerised clinical systems and mobile apps. The 'Introduction to Information and Communication Technology and eHealth' course was developed with the aim to provide CHWs in Malawi, Africa, with basic knowledge and computer skills to use digital solutions in healthcare delivery. The course was delivered using a traditional and a blended learning approach. METHODS: Two questionnaires were developed and tested for face validity and reliability in a pilot course with 20 CHWs. Those were designed to measure CHWs' knowledge of and attitudes towards the use of ICT, before and after each course, as well as their satisfaction with each learning approach. Following validation, a randomised controlled trial was conducted to assess the effectiveness of the two learning approaches. A total of 40 CHWs were recruited, stratified by position, gender and computer experience, and allocated to the traditional or blended learning group using block randomisation. Participants completed the baseline and follow-up questionnaires before and after each course to assess the impact of each learning approach on their knowledge, attitudes, and satisfaction. Per-item, pre-post and between-group, mean differences for each approach were calculated using paired and unpaired t-tests, respectively. Per-item, between-group, satisfaction scores were compared using unpaired t-tests. RESULTS: Scores across all scales improved after attending the traditional and blended learning courses. Self-rated ICT knowledge was significantly improved in both groups with significant differences between groups in seven domains. However, actual ICT knowledge scores were similar across groups. There were no significant differences between groups in attitudinal gains. Satisfaction with the course was generally high in both groups. However, participants in the blended learning group found it more difficult to follow the content of the course. CONCLUSIONS: This study shows that there is no difference between blended and traditional learning in the acquisition of actual ICT knowledge among community healthcare workers in developing countries. Given the human resource constraints in remote resource-poor areas, the blended learning approach may present an advantageous alternative to traditional learning

The importance of form field validation: lessons learnt from a feasibility study of an mHealth application in Malawi, Africa

Measuring adherence to clinical guidelines using mobile health (mHealth) technologies when form field validation is enforced or turned on could potentially be viewed as skewing the dataset, leading to 100% adherence to the clinical rule base. In theory, healthcare providers should fully abide by clinical guidelines, whether in paper or digital format, to ensure that the patient receives appropriate care. However, what happens when mHealth form field validation is turned off? As part of a feasibility study in Malawi, Africa, we explored this phenomenon. Switching off validation on the mHealth artefact served its purpose within the context of a feasibility study where a parallel paper-based clinical assessment process remained in place. The design of this technical artefact with the turnkey validation feature afforded us the opportunity to turn validation on and off seamlessly. Ultimately, from an ethical, clinical and technical perspective the optimum approach is to ensure that form field validation is switched on. With form field validation on adherence to the clinical guidelines is enforced which minimises incomplete assessment and the potential for suboptimal clinical decisions that could adversely affect patient care

Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review

BackgroundIn recent years, there has been rapid growth in the availability and use of mobile health (mHealth) apps around the world. A consensus regarding an accepted standard to assess the quality of such apps has yet to be reached. A factor that exacerbates the challenge of mHealth app quality assessment is variations in the interpretation of quality and its subdimensions. Consequently, it has become increasingly difficult for health care professionals worldwide to distinguish apps of high quality from those of lower quality. This exposes both patients and health care professionals to unnecessary risks. Despite progress, limited understanding of the contributions of researchers in low- and middle-income countries (LMICs) exists on this topic. Furthermore, the applicability of quality assessment methodologies in LMIC settings remains relatively unexplored. ObjectiveThis rapid review aims to identify current methodologies in the literature to assess the quality of mHealth apps, understand what aspects of quality these methodologies address, determine what input has been made by authors from LMICs, and examine the applicability of such methodologies in LMICs. MethodsThis review was registered with PROSPERO (International Prospective Register of Systematic Reviews). A search of PubMed, EMBASE, Web of Science, and Scopus was performed for papers related to mHealth app quality assessment methodologies, which were published in English between 2005 and 2020. By taking a rapid review approach, a thematic and descriptive analysis of the papers was performed. ResultsElectronic database searches identified 841 papers. After the screening process, 52 papers remained for inclusion. Of the 52 papers, 5 (10%) proposed novel methodologies that could be used to evaluate mHealth apps of diverse medical areas of interest, 8 (15%) proposed methodologies that could be used to assess apps concerned with a specific medical focus, and 39 (75%) used methodologies developed by other published authors to evaluate the quality of various groups of mHealth apps. The authors in 6% (3/52) of papers were solely affiliated to institutes in LMICs. A further 15% (8/52) of papers had at least one coauthor affiliated to an institute in an LMIC. ConclusionsQuality assessment of mHealth apps is complex in nature and at times subjective. Despite growing research on this topic, to date, an all-encompassing appropriate means for evaluating the quality of mHealth apps does not exist. There has been engagement with authors affiliated to institutes across LMICs; however, limited consideration of current generic methodologies for application in LMIC settings has been identified. Trial RegistrationPROSPERO CRD42020205149; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=20514

The Importance of Form Field Validation : Lesson Learnt From a Feasibility Study of an M-Health Application in Malawi, Africa

Measuring adherence to clinical guidelines using mobile health (mHealth) technologies when form field validation is enforced or turned on could potentially be viewed as skewing the dataset, leading to 100% adherence to the clinical rule base. In theory, healthcare providers should fully abide by clinical guidelines, whether in paper or digital format, to ensure that the patient receives appropriate care. However, what happens when mHealth form fieldvalidation is turned off? As part of a feasibility study in Malawi, Africa, we explored this phenomenon. Switching off validation on the mHealthartefact served its purpose within the context of a feasibility study where a parallel paper-based clinical assessment process remained in place. The design of this technical artefact with the turnkey validation feature afforded us the opportunity to turn validation on and off seamlessly. Ultimately, from an ethical, clinical and technical perspective the optimum approach is to ensurethat form field validation is switched on. With form field validation on adherence to the clinical guidelines is enforced which minimises incomplete assessment and the potential for suboptimal clinical decisions that could adversely affect patient care