Implementation of a Cloud-Based Electronic Medical Record to Reduce Gaps in the HIV Treatment Continuum in Rural Kenya

Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts

"Medical deserts" are areas with low healthcare service levels, challenging the access, quality, and sustainability of care. This qualitative narrative review examines how artificial intelligence (AI), particularly large language models (LLMs), can address these challenges by integrating with e-Health and the Internet of Medical Things to enhance services in under-resourced areas. It explores AI-driven telehealth platforms that overcome language and cultural barriers, increasing accessibility. The utility of LLMs in providing diagnostic assistance where specialist deficits exist is highlighted, demonstrating AI's role in supplementing medical expertise and improving outcomes. Additionally, the development of AI chatbots offers preliminary medical advice, serving as initial contact points in remote areas. The review also discusses AI's role in enhancing medical education and training, supporting the professional development of healthcare workers in these regions. It assesses AI's strategic use in data analysis for effective resource allocation, identifying healthcare provision gaps. AI, especially LLMs, is seen as a promising solution for bridging healthcare gaps in "medical deserts," improving service accessibility, quality, and distribution. However, continued research and development are essential to fully realize AI's potential in addressing the challenges of medical deserts.

Factors Influencing Data Quality in Electronic Health Record Systems in 50 Health Facilities in Rwanda and the Role of Clinical Alerts: Cross-Sectional Observational Study

BACKGROUND

Electronic health records (EHRs) play an increasingly important role in delivering HIV care in low- and middle-income countries. The data collected are used for direct clinical care, quality improvement, program monitoring, public health interventions, and research. Despite widespread EHR use for HIV care in African countries, challenges remain, especially in collecting high-quality data.

OBJECTIVE

We aimed to assess data completeness, accuracy, and timeliness compared to paper-based records, and factors influencing data quality in a large-scale EHR deployment in Rwanda.

METHODS

We randomly selected 50 health facilities (HFs) using OpenMRS, an EHR system that supports HIV care in Rwanda, and performed a data quality evaluation. All HFs were part of a larger randomized controlled trial, with 25 HFs receiving an enhanced EHR with clinical decision support systems. Trained data collectors visited the 50 HFs to collect 28 variables from the paper charts and the EHR system using the Open Data Kit app. We measured data completeness, timeliness, and the degree of matching of the data in paper and EHR records, and calculated concordance scores. Factors potentially affecting data quality were drawn from a previous survey of users in the 50 HFs.

RESULTS

We randomly selected 3467 patient records, reviewing both paper and EHR copies (194,152 total data items). Data completeness was >85% threshold for all data elements except viral load (VL) results, second-line, and third-line drug regimens. Matching scores for data values were close to or >85% threshold, except for dates, particularly for drug pickups and VL. The mean data concordance was 10.2 (SD 1.28) for 15 (68%) variables. HF and user factors (eg, years of EHR use, technology experience, EHR availability and uptime, and intervention status) were tested for correlation with data quality measures. EHR system availability and uptime was positively correlated with concordance, whereas users' experience with technology was negatively correlated with concordance. The alerts for missing VL results implemented at 11 intervention HFs showed clear evidence of improving timeliness and completeness of initially low matching of VL results in the EHRs and paper records (11.9%-26.7%; P<.001). Similar effects were seen on the completeness of the recording of medication pickups (18.7%-32.6%; P<.001).

CONCLUSIONS

The EHR records in the 50 HFs generally had high levels of completeness except for VL results. Matching results were close to or >85% threshold for nondate variables. Higher EHR stability and uptime, and alerts for entering VL both strongly improved data quality. Most data were considered fit for purpose, but more regular data quality assessments, training, and technical improvements in EHR forms, data reports, and alerts are recommended. The application of quality improvement techniques described in this study should benefit a wide range of HFs and data uses for clinical care, public health, and disease surveillance.

Scaling up delivery of HIV services in Africa through harnessing trends across global emerging innovations

Globally, innovations for HIV response present exciting opportunities to enhance the impact and cost-effectiveness of any HIV program. However, countries especially in the African region are not on equal footing to effectively harness some of the existing innovations to accelerate impact on HIV services delivery. This paper aims to add to the discourse on innovative solutions to support countries to make informed decisions related to technologies that can be adapted in different contexts to strengthen HIV programs. A scoping review which involved a search of innovations that can be used in response to the HIV epidemic was carried out between June 2021 and December 2022. The results showed that a high level of technological advancement occurred in the area of digital technologies and devices. Out of the 202 innovations, 90% were digital technologies, of which 34% were data collection and analytics, 45% were mobile based applications, and 12% were social media interventions. Only 10% fell into the category of devices, of which 67% were rapid diagnostic tools (RDTs) and 19% were drone-based technologies among other innovative tools. The study noted that most of the innovations that scaled relied on a strong ICT infrastructure backbone. The scoping review presents an opportunity to assess trends, offer evidence, and outline gaps to drive the adoption and adaptation of such technologies in Africa.

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

As the demand for quality healthcare increases, healthcare systems worldwide are grappling with time constraints and excessive workloads, which can compromise the quality of patient care. Artificial intelligence (AI) has emerged as a powerful tool in clinical medicine, revolutionizing various aspects of patient care and medical research. The integration of AI in clinical medicine has not only improved diagnostic accuracy and treatment outcomes, but also contributed to more efficient healthcare delivery, reduced costs, and facilitated better patient experiences. This review article provides an extensive overview of AI applications in history taking, clinical examination, imaging, therapeutics, prognosis and research. Furthermore, it highlights the critical role AI has played in transforming healthcare in developing nations.

Creation of an Inflammatory Bowel Disease Referral Pathway for Identifying Patients Who Would Benefit From Inflammatory Bowel Disease Specialist Consultation

BACKGROUND

Recommendations regarding signs and symptoms that should prompt referral of patients with inflammatory bowel disease (IBD) to an IBD specialist for a consultation could serve to improve the quality of care for these patients. Our aim was to develop a consult care pathway consisting of clinical features related to IBD that should prompt appropriate consultation.

METHODS

A scoping literature review was performed to identify clinical features that should prompt consultation with an IBD specialist. A panel of 11 experts was convened over 4 meetings to develop a consult care pathway using the RAND/UCLA Appropriateness Method. Items identified via scoping review were ranked and were divided into major and minor criteria. Additionally, a literature and panel review was conducted assessing potential barriers and facilitators to implementing the consult care pathway.

RESULTS

Of 43 features assessed, 13 were included in the care pathway as major criteria and 15 were included as minor criteria. Experts agreed that stratification into major criteria and minor criteria was appropriate and that 1 major or 2 or more minor criteria should be required to consider consultation. The greatest barrier to implementation was considered to be organizational resource allocation, while endorsements by national gastroenterology and general medicine societies were considered to be the strongest facilitator.

CONCLUSIONS

This novel referral care pathway identifies key criteria that could be used to triage patients with IBD who would benefit from IBD specialist consultation. Future research will be required to validate these findings and assess the impact of implementing this pathway in routine IBD-related care.

The effect of an integrated electronic medical record system on malaria out-patient case management in a Ugandan health facility

Background

Malaria contributes 20% of outpatient cases in health facilities in Uganda. Data also show that there is a severe shortage of skilled health care personnel in sub-Saharan Africa. Electronic Medical Record (EMR) systems have been shown to provide benefits to health care providers and patients alike, making them important for low resourced settings.

Methods

A comparative study was performed from March 2018 to March 2019 in which an integrated EMR system was implemented with treatment guidelines for malaria, and its effect was evaluated on malaria outpatient case management in one Ugandan health facility. Another health facility was used as a control site.

Results

Malaria outpatient visits were 1.3 h shorter in the EMR group ( p < .0001), and 80% more participants in the EMR group had age and weight information available to clinicians at the point of prescribing ( p < .0001). Fewer participants in the EMR group had recurring malaria with no statistical significance ( p = .097). Malaria surveillance reporting was significantly more accurate at the EMR intervention site ( p < .05).

Conclusion

The EMR system probably improved malaria outpatient case management by reducing outpatient visit durations, improving the availability of patient age and weight information to inform prescribing and improving the accuracy of malaria surveillance reporting.

The need for data management standards in public health nursing: A narrative review and case study

BACKGROUND

Data management is the key to the success of all projects and research. The ability to safely store, manipulate, and decipher data in real time is invaluable. Currently data management standards in public health are non-existent. Since the invention of computers real-time data retrieval and analysis has been possible but underutilized by researchers in the field. Historically, most small research studies and field-based projects have utilized spreadsheets for data management, which often proves problematic as the project grows. However, a viable and superior alternative exists in relational databases, such as REDCap. Relational databases allow for easier concatenation of multiple legacy datasets, facilitate data entry with surveys that incorporate branching logic, and allow for real time data entry in the field without the need for WIFI.

METHODS

One example of a public health project being transitioned from spreadsheet data management to a relational database is the Farmworker Family Health Program based out of the Lillian Carter Center for Global Health & Social Responsibility at Emory University's Nell Hodgson Woodruff School of Nursing. The data management transition from spreadsheets to REDCap has provided the team with unique insight into the data that has been collected in the 30 years the program has been running.

CONCLUSION

Through this case study, we identify the need for and recommend that those in public health nursing utilize relational databases when collecting data during research studies or as electronic medical records for field clinics.

A Practical Framework for Value Creation in Health Information Systems From an Ecosystem Perspective: Evaluated in the South African Context

Performance improvement in any field depends on establishing goals that align the interests of relevant stakeholders, which may be defined as creating value for stakeholders. In the healthcare context, the concept of value creation and its analysis from an ecosystem perspective has been neglected and is hard to achieve in practice. This research adopts an innovation ecosystem perspective to develop and evaluate a practical framework to guide value creation for healthcare settings in a developing country context. The resulting framework serves as a tool that can guide stakeholders to co-create value by defining the inputs, activities, and outputs/outcomes to enable the process of value co-creation through a heath information system. Design Science Research Methodology (DSRM) was followed to develop the framework (artifact); it entailed the evaluation of the preliminary framework through a range of cycles. A relevance cycle was completed through a literature review. Since the investigation was done from an ecosystem perspective, it provided an understanding of the core characteristics of ecosystems, information systems, and value to inform the development of a preliminary framework. The preliminary framework was evaluated through two design cycles: the first was based on in-depth semi-structured interviews with six industry experts, and the second comprised a framework ranking exercise. The observations from the two stages informed the modification and refinement of framework items. The evaluated framework provides practical and actionable elements of a value creation system based on three canvasses: (1) the pre-use canvas defines the healthcare system and its stakeholders; (2) the tool guideline provides an overview of the development of ecosystem canvas elements; and (3) the ecosystem canvas represents the process of value creation along with a conceptual canvas with descriptions or implications of each of the framework's concepts.

Delayed presentation of HIV among older individuals: a growing problem

Late presentation for care is a major impediment to the prevention and effective treatment of HIV infection. Older individuals are at increased risk of late presentation, represent a growing proportion of people with late presentation, and might require interventions tailored to their age group. We provide a summary of the literature published globally between 2016-21 (reporting data from 1984-2018) and quantify the association of age with delayed presentation. Using the most common definitions of late presentation and older age from these earlier studies, we update this work with data from the International Epidemiology Databases to Evaluate AIDS (IeDEA) consortium, focusing on data from 2000-19, encompassing four continents. Finally, we consider how late presentation among older individuals might be more effectively addressed as electronic medical records become widely adopted.

Causes of death and associated factors over a decade of follow-up in a cohort of people living with HIV in rural Tanzania

Background

Nearly half of HIV-related deaths occur in East and Southern Africa, yet data on causes of death (COD) are scarce. We determined COD and associated factors among people living with HIV (PLHIV) in rural Tanzania.

Methods

PLHIV attending the Chronic Diseases Clinic of Ifakara, Morogoro are invited to enrol in the Kilombero and Ulanga Antiretroviral Cohort (KIULARCO). Among adults (≥ 15 years) enrolled in 2005–2018, with follow-up through April 2019, we classified COD in comprehensive classes and as HIV- or non-HIV-related. In the subset of participants enrolled in 2013–2018 (when data were more complete), we assessed cause-specific mortality using cumulative incidences, and associated factors using proportional hazards models.

Results

Among 9871 adults (65% female, 26% CD4 count < 100 cells/mm³), 926 (9%) died, among whom COD were available for 474 (51%), with missing COD mainly in earlier years. The most common COD were tuberculosis (N = 127, 27%), non-AIDS-related infections (N = 72, 15%), and other AIDS-related infections (N = 59, 12%). Cardiovascular and renal deaths emerged as important COD in later calendar years, with 27% of deaths in 2018 attributable to cardiovascular causes. Most deaths (51%) occurred within the first six months following enrolment. Among 3956 participants enrolled in 2013–2018 (N = 203 deaths, 200 with COD ascertained), tuberculosis persisted as the most common COD (25%), but substantial proportions of deaths from six months after enrolment onwards were attributable to renal (14%), non-AIDS-related infections (13%), other AIDS-related infections (10%) and cardiovascular (10%) causes. Factors associated with higher HIV-related mortality were sex, younger age, living in Ifakara town, HIV status disclosure, hospitalisation, not being underweight, lower CD4 count, advanced WHO stage, and gaps in care. Factors associated with higher non-HIV-related mortality included not having an HIV-positive partner, lower CD4 count, advanced WHO stage, and gaps in care.

Conclusion

Incidence of HIV-related mortality was higher than that of non-HIV-related mortality, even in more recent years, likely due to late presentation. Tuberculosis was the leading specific COD identified, particularly soon after enrolment, while in later calendar years cardiovascular and renal causes emerged as important, emphasising the need for improved screening and management.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-021-06962-3.

Scaling up public mental health care in Sub-Saharan Africa: insights from infectious disease

INTRODUCTION

Models estimate that the disability burden from mental disorders in Sub-Saharan Africa (SSA) will more than double in the next 40 years. Similar to HIV, mental disorders are stigmatized in many SSA settings and addressing them requires community engagement and long-term treatment. Yet, in contrast to HIV, the public mental healthcare cascade has not been sustained, despite robust data on scalable strategies. We draw on findings from our International AIDS Society (IAS) 2020 virtual workshop and make recommendations for next steps in the scale up of the SSA public mental healthcare continuum.

DISCUSSION

Early HIV surveillance and care cascade targets are discussed as important strategies for HIV response in SSA that should be adopted for mental health. Advocacy, including engagement with civil society, and targeted economic arguments to policymakers, are reviewed in the context of HIV success in SSA. Parallel opportunities for mental disorders are identified. Learning from HIV, communication of strategies that advance mental health care needs in SSA must be prioritized for broad global audiences.

CONCLUSIONS

The COVID-19 pandemic is setting off a colossal escalation of global mental health care needs, well-publicized across scientific, media, policymaker, and civil society domains. The pandemic highlights disparities in healthcare access and reinvigorates the push for universal coverage. Learning from HIV strategies, we must seize this historical moment to improve the public mental health care cascade in SSA and capitalize on the powerful alliances ready to be forged. As noted by Ambassador Goosby in our AIDS 2020 workshop, 'The time is now'.

Improving the management of hypertension and diabetes: An implementation evaluation of an electronic medical record system in Nairobi County, Kenya

OBJECTIVE

To evaluate the implementation of a novel electronic medical record (EMR) system for management of non-communicable diseases (NCD) (hypertension (HTN) and diabetes mellitus (DM)) in health facilities in informal settlements in Nairobi. Questions of interest were on the use of, perception of the HCWs, and scalability and sustainability of the EMR system.

METHOD

The study utilised a descriptive and analytical implementation evaluation through a convergent parallel mixed-methods design in 33 health facilities in the informal settlements in Nairobi County, Kenya. We carried out semi-structured interviews with the county and sub-county health management staff (n = 9), facility in-charges (n = 8), healthcare workers (HCW) (n = 35), and project staff (n = 7). Additionally, quantitative analysis, trend analysis, critical evaluation and costing were done. Qualitative data were analysed thematically using NVIVO while quantitative data were analysed using Excel and Stata software.

RESULTS

The EMR system significantly improved data capture and management of HTN and DM patients. The system helped clinicians to adhere to treatment and management guidelines and in clinical decision making. Most HCWs had a positive attitude and perceptions about the EMR system, and it was a good initiative for improving the quality and standardisation of care. The data captured made it easier to generate health facility and clinics reports which were essential for planning and decision-making processes. A critical audit of the EMR system features showed adequate general design features (data elements, structure and organisation, ease of use, accessibility, interfaces, confidentiality, access limitation, accuracy and integrity).

DISCUSSION

Use of the EMR helped in improving patients care. The technology not only enhanced assurance of patients' information safety and availability but also supported in clinical decision making and standardisation of care. Successful implementation of the technology is dependent on positive perception and attitude of the HCWs. While the initial cost of setting and managing the EMR is high, future maintenance cost could be lower, making it sustainable in the long run. However, it is vital for future implementors to source for adequate funds to run it to completion if it is to achieve its objective.

Layering and scaling up chronic non-communicable disease care on existing HIV care systems and acute care settings in Kenya: a cost and budget impact analysis

INTRODUCTION

Like many countries in sub-Saharan Africa, Kenya is experiencing a rapid rise in the burden of non-communicable diseases (NCDs): NCDs now contribute to over 50% of inpatient admissions and 40% of hospital deaths in the country. The Academic Model Providing Access to Healthcare (AMPATH) Chronic Disease Management (CDM) programme builds on lessons and capacity of HIV care to deliver chronic NCD care layered into both HIV and primary care platforms to over 24,000 patients across 69 health facilities in western Kenya. We conducted a cost and budget impact analysis of scaling up the AMPATH CDM programme in western Kenya using the International Society for Pharmacoeconomics and Outcomes Research guidelines.

METHODS

Costs of the CDM programme for the health system were measured retrospectively for 69 AMPATH clinics from 2014 to 2018 using programmatic records and clinic schedules to assign per clinic monthly costs. We quantified the additional costs to provide NCD care above those associated with existing HIV or acute care services, including clinician, staff, training, travel and equipment costs, but do not include drugs or consumables as they would be paid by the patient. We projected the budget impact of increasing CDM coverage to 50% of the eligible population from 2021 to 2025, and compared it with the county budgets from 2019.

RESULTS

The per visit cost of providing CDM care was $10.42 (SD $2.26), with costs at facilities added to HIV clinics $1.00 (95% CI: -$2:11 to $0.11) lower than at primary care facilities. The budget impact of adding 26,765 patients from 2021 to 2025 to the CDM programme was 3,088,928 under constant percent growth, and 3,451,732 under steady-state enrolment. Scaling up under the constant percent growth scenario resulted in 12% cost savings in the budget impact. The county programmatic CDM cost in 2025 was <1% of the county healthcare budgets from 2019.

CONCLUSIONS

The budget impact of scaling up AMPATH's CDM programme will be driven by annual growth scenarios, and facility/provider mix. By leveraging task shifting, referral systems and partnering with public and non-profit clinics without NCD services, AMPATH's CDM programme can provide critical NCD care to new, rural populations with minimal financial impact.

Towards Resilient Health Systems in Sub-Saharan Africa: A Systematic Review of the English Language Literature on Health Workforce, Surveillance, and Health Governance Issues for Health Systems Strengthening

Background:

Meeting health security capacity in sub-Saharan Africa will require strengthening existing health systems to prevent, detect, and respond to any threats to health. The purpose of this review was to examine the literature on health workforce, surveillance, and health governance issues for health systems strengthening.

Methods:

We searched PubMed, Science Direct, Cochrane library, CINAHL, Web of Science, EMBASE, EBSCO, Google scholar, and the WHO depository library databases for English-language publications between January 2007 and February 2017. Electronic searches for selected articles were supplemented by manual reference screening. The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.

Results:

Out of 1,548 citations retrieved from the electronic searches, 31 articles were included in the review. Any country health system that trains a cadre of health professionals on the job, reduces health workforce attrition levels, and builds local capacity for health care workers to apply innovative mHealth technologies improves health sector performance. Building novel surveillance systems can improve clinical care and improve health system preparedness for health threats. Effective governance processes build strong partnerships for health and create accountability mechanisms for responding to health emergencies.

Conclusions:

Overall, policy shifts in African countries’ health systems that prioritize training a cadre of willing and able workforce, invest in robust and cost-effective surveillance capacity, and create financial accountability and good governance are vital in health strengthening efforts.

M-SAKHI-Mobile health solutions to help community providers promote maternal and infant nutrition and health using a community-based cluster randomized controlled trial in rural India: A study protocol

Reduction of childhood stunting is difficult to achieve by interventions that focus only on improving nutrition during infancy. Comprehensive interventions that extend through the continuum of care from pregnancy to infancy are needed. Mobile phones are now successfully being used for behaviour change communication to improve health. We present the methodology of an mHealth intervention "Mobile Solutions Aiding Knowledge for Health Improvement" (M-SAKHI) to be delivered by rural community health workers or Accredited Social Health Activists (ASHAs) for rural women, below or up to 20 weeks of pregnancy through delivery until their infant is 12 months of age. This protocol paper describes the cluster randomized controlled trial to evaluate the effectiveness of M-SAKHI. The primary objective of the trial is to reduce the prevalence of stunting (height-for-age < -2 z-score) in children at 18 months of age by 8% in the intervention as compared with control. The secondary objectives include evaluating the impact on maternal dietary diversity, birth weight, infant and young child feeding practices, infant development, and child morbidity, along with a range of intermediate outcomes for maternal, neonatal, and infant health. A total of 297 ASHAs, five trained counsellors, and 2,501 participants from 244 villages are participating in this study. The outcome data are being collected by 51 field research officers. This study will provide evidence regarding the efficacy of M-SAKHI to reduce stunting in young children in rural India, and if effective, the cost-effectiveness of M-SAKHI.

Cutaneous leishmaniasis among Syrian refugees in Jordan

INTRODUCTION

Old World cutaneous leishmaniasis (CL) is one of the most prevalent vector-borne diseases within the World Health Organization's Eastern Mediterranean Region. The conflict in the Syrian Arab Republic generated large population movements and raised concerns about spreading of CL to countries where Syrians have relocated, including Jordan.

METHODS

A review of electronic and paper-based registries of CL cases in Jordan was conducted to assess burden of disease and associated socio-demographic factors.

RESULTS

Increasing numbers of CL cases have been reported in Jordan between 2010 and 2016 (from 140 to 281), paralleled by significant increases in incidence rate (from 2.09 per 100 000 person-years, 95% CI (1.77-2.47), to 2.87 per 100 000 person-year, 95% CI (2.55-3.22), p = 0.002) and in the proportion of cases who are Syrian (from 8.6%-55.2%, p < 0.001). Syrian refugees have higher odds of presenting with leishmaniasis than Jordanian nationals (adjusted OR 7.1, 95% CI (6.3-8.0), p = 0.000).

CONCLUSIONS

Presence of large numbers of Syrian refugees within Jordan has so far not contributed to increased risk of developing CL for Jordanians, however surveillance, diagnosis and case management for CL should be reinforced to meet the increased burden. Electronic surveillance can help identify priority populations and areas for interventions.

The Usability of Electronic Medical Record Systems Implemented in Sub-Saharan Africa: A Literature Review of the Evidence

BACKGROUND

Electronic medical record (EMR) systems hold the exciting promise of accurate, real-time access to patient health care data and great potential to improve the quality of patient care through decision support to clinicians. This review evaluated the usability of EMR systems implemented in sub-Saharan Africa based on a usability evaluation criterion developed by the Healthcare Information and Management Systems Society (HIMSS).

OBJECTIVE

This review aimed to evaluate EMR system implementations in sub-Saharan Africa against a well-defined evaluation methodology and assess their usability based on a defined set of metrics. In addition, the review aimed to identify the extent to which usability has been an enabling or hindering factor in the implementation of EMR systems in sub-Saharan Africa.

METHODS

Five key metrics for evaluating EMR system usability were developed based on the methodology proposed by HIMSS. These were efficiency, effectiveness, ease of learning, cognitive load, and user satisfaction. A 5-point rating system was developed for the review. EMR systems in 19 reviewed publications were scored based on this rating system. It awarded 5 points per metric to any EMR system that was identified as excellent, 4 points for good, 3 points for fair, 2 points for poor, and 1 point for bad. In addition, each of the 5 key metrics carried a maximum weighted score of 20. The percentage scores for each metric were then computed from the weighted scores from which the final overall usability score was derived.

RESULTS

In possibly contributing to the usability of implemented EMR systems, ease of learning obtained the highest percentage score of 71% (SD 1.09) followed by cognitive load in second place with a score of 68% (SD 1.62). Effectiveness followed closely in third place at 67% (SD 1.47) and efficiency was in fourth place at 64% (SD 1.04). User satisfaction came in last at 63% (SD 1.70). The overall usability score for all systems was calculated to be 66%.

CONCLUSIONS

The usability of EMR systems implemented in sub-Saharan Africa has been good with ease of learning possibly being the biggest positive contributor to this rating. Cognitive load and effectiveness have also possibly positively influenced the usability of EMR systems, whereas efficiency and user satisfaction have perhaps contributed least to positively influencing EMR system usability.

The use of Electronic Health Records to Support Population Health: A Systematic Review of the Literature

Electronic health records (EHRs) have emerged among health information technology as "meaningful use" to improve the quality and efficiency of healthcare, and health disparities in population health. In other instances, they have also shown lack of interoperability, functionality and many medical errors. With proper implementation and training, are electronic health records a viable source in managing population health? The primary objective of this systematic review is to assess the relationship of electronic health records' use on population health through the identification and analysis of facilitators and barriers to its adoption for this purpose. Authors searched Cumulative Index of Nursing and Allied Health Literature (CINAHL) and MEDLINE (PubMed), 10/02/2012-10/02/2017, core clinical/academic journals, MEDLINE full text, English only, human species and evaluated the articles that were germane to our research objective. Each article was analyzed by multiple reviewers. Group members recognized common facilitators and barriers associated with EHRs effect on population health. A final list of articles was selected by the group after three consensus meetings (n = 55). Among a total of 26 factors identified, 63% (147/232) of those were facilitators and 37% (85/232) barriers. About 70% of the facilitators consisted of productivity/efficiency in EHRs occurring 33 times, increased quality and data management each occurring 19 times, surveillance occurring 17 times, and preventative care occurring 15 times. About 70% of the barriers consisted of missing data occurring 24 times, no standards (interoperability) occurring 13 times, productivity loss occurring 12 times, and technology too complex occurring 10 times. The analysis identified more facilitators than barriers to the use of the EHR to support public health. Wider adoption of the EHR and more comprehensive standards for interoperability will only enhance the ability for the EHR to support this important area of surveillance and disease prevention. This review identifies more facilitators than barriers to using the EHR to support public health, which implies a certain level of usability and acceptance to use the EHR in this manner. The public-health industry should combine their efforts with the interoperability projects to make the EHR both fully adopted and fully interoperable. This will greatly increase the availability, accuracy, and comprehensiveness of data across the country, which will enhance benchmarking and disease surveillance/prevention capabilities.

Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While there are now many AI applications that have been deployed in high-income country contexts, use in resource-poor settings remains relatively nascent. With a few notable exceptions, there are limited examples of AI being used in such settings. However, there are signs that this is changing. Several high-profile meetings have been convened in recent years to discuss the development and deployment of AI applications to reduce poverty and deliver a broad range of critical public services. We provide a general overview of AI and how it can be used to improve health outcomes in resource-poor settings. We also describe some of the current ethical debates around patient safety and privacy. Despite current challenges, AI holds tremendous promise for transforming the provision of healthcare services in resource-poor settings. Many health system hurdles in such settings could be overcome with the use of AI and other complementary emerging technologies. Further research and investments in the development of AI tools tailored to resource-poor settings will accelerate realising of the full potential of AI for improving global health.

Barriers and facilitators to Electronic Medical Records usage in the Emergency Centre at Komfo Anokye Teaching Hospital, Kumasi-Ghana

INTRODUCTION

The use of paper for record keeping (or a manual system) has been the order of the day in almost all health care facilities in resource poor countries. This system has presented numerous challenges, which the use of Electronic Medical Records (EMR) seeks to address. The objectives of the study were to identify the facilitators and barriers to EMR implementation in Komfo Anokye Teaching Hospital's (KATH) Emergency Centre (EC) and to identify lessons learned. These will help in implementation of EMR in ECs in similar settings.

METHODS

This was a non-interventional, descriptive cross-sectional and purely qualitative study using a semi-structured interview guide for a study population of 24. The interviews were manually recorded and analysed thematically. EMR implementation was piloted in the EC. Some of the EC staff doubled as EMR personnel. An open source EMR was freely downloaded and customised to meet the needs of the EC. The EMR database created was a hybrid one comprising of digital bio-data of patients and scanned copies of their paper EC records.

RESULTS

The facilitators for utilising the system included providing training to staff, the availability of some logistics, and the commitment of staff. The project barriers were funding, full-time information technology expertise, and automatic data and power backups. It was observed that with the provision of adequate human and financial resources, the challenges were overcome and the adoption of the EMR improved.

DISCUSSION

The EMR has been a partial success. The facilitators identified in this study, namely training, provision of logistics, and staff commitment represent foundations to work from. The barriers identified could be addressed with additional funding, provision of information technology expertise, and data and power back up. It is acknowledged that lack of funding could substantially limit EMR implementation.

The role of digital health in making progress toward Sustainable Development Goal (SDG) 3 in conflict-affected populations

PURPOSE

The progress of the Millennium Development Goals (MDGs) shows that sustained global action can achieve success. Despite the unprecedented achievements in health and education, more than one billion people, many of them in conflict-affected areas, were unable to reap the benefits of the MDG gains. The recently developed Sustainable Development Goals (SDGs) are even more ambitious then their predecessor. SDG 3 prioritizes health and well-being for all ages in specific areas such as maternal mortality, communicable diseases, mental health, and healthcare workforce. However, without a shift in the approach used for conflict-affected areas, the world's most vulnerable people risk being left behind in global development yet again. We must engage in meaningful discussions about employing innovative strategies to address health challenges fragile, low-resource, and often remote settings. In this paper, we will argue that to meet the ambitious health goals of SDG 3, digital health can help to bridge healthcare gaps in conflict-affected areas.

METHODS

First, we describe the health needs of populations in conflict-affected environments, and how they overlap with the SDG 3 targets. Secondly, we discuss how digital health can address the unique needs of conflict-affected areas. Finally, we evaluate the various challenges in deploying digital technologies in fragile environments, and discuss potential policy solutions.

DISCUSSION

Persons in conflict-affected areas may benefit from the diffusive nature of digital health tools. Innovations using cellular technology or cloud-based solutions overcome physical barriers. Additionally, many of the targets of SDG 3 could see significant progress if efficacious education and outreach efforts were supported, and digital health in the form of mHealth and telehealth offers a relatively low-resource platform for these initiatives. Lastly, lack of data collection, especially in conflict-affected or otherwise fragile states, was one of the primary limitations of the MDGs. Greater investment in data collection efforts, supported by digital health technologies, is necessary if SDG 3 targets are to be measured and progress assessed. Standardized EMR systems as well as context-specific data warehousing efforts will assist in collecting and managing accurate data. Stakeholders such as patients, providers, and NGOs, must be proactive and collaborative in their efforts for continuous progress toward SDG 3. Digital health can assist in these inter-organizational communication efforts.

CONCLUSION

The SDGS are complex, ambitious, and comprehensive; even in the most stable environments, achieving full completion towards every goal will be difficult, and in conflict-affected environments, this challenge is much greater. By engaging in a collaborative framework and using the appropriate digital health tools, we can support humanitarian efforts to realize sustained progress in SDG 3 outcomes.

Rubber stamp templates for improving clinical documentation: A paper-based, m-Health approach for quality improvement in low-resource settings

BACKGROUND

The United Nations' Sustainable Development Goal #3.8 targets 'access to quality essential healthcare services'. Clinical practice guidelines are an important tool for ensuring quality of clinical care, but many challenges prevent their use in low-resource settings. Monitoring the use of guidelines relies on cumbersome clinical audits of paper records, and electronic systems face financial and other limitations. Here we describe a unique approach to generating digital data from paper using guideline-based templates, rubber stamps and mobile phones.

INTERVENTION

The Guidelines Adherence in Slums Project targeted ten private sector primary healthcare clinics serving informal settlements in Nairobi, Kenya. Each clinic was provided with rubber stamp templates to support documentation and management of commonly encountered outpatient conditions. Participatory design methods were used to customize templates to the workflows and infrastructure of each clinic. Rubber stamps were used to print templates into paper charts, providing clinicians with checklists for use during consultations. Templates used bubble format data entry, which could be digitized from images taken on mobile phones. Besides rubber stamp templates, the intervention included booklets of guideline compilations, one Android phone for digitizing images of templates, and one data feedback/continuing medical education session per clinic each month. In this paper we focus on the effect of the intervention on documentation of three non-communicable diseases in one clinic.

METHODS

Seventy charts of patients enrolled in the chronic disease program (hypertension/diabetes, n=867; chronic respiratory diseases, n=223) at one of the ten intervention clinics were sampled. Documentation of each individual patient encounter in the pre-intervention (January-March 2016) and post-intervention period (May-July) was scored for information in four dimensions - general data, patient assessment, testing, and management. Control criteria included information with no counterparts in templates (e.g. notes on presenting complaints, vital signs). Documentation scores for each patient were compared between both pre- and post-intervention periods and between encounters documented with and without templates (post-intervention only).

RESULTS

The total number of patient encounters in the pre-intervention (282) and post-intervention periods (264) did not differ. Mean documentation scores increased significantly in the post-intervention period on average by 21%, 24% and 17% for hypertension, diabetes and chronic respiratory diseases, respectively. Differences were greater (47%, 43% and 27%, respectively) when documentation with and without templates was compared. Changes between pre- vs.post-intervention, and with vs.without template, varied between individual dimensions of documentation. Overall, documentation improved more for general data and patient assessment than in testing or management.

CONCLUSION

The use of templates improves paper-based documentation of patient care, a first step towards improving the quality of care. Rubber stamps provide a simple and low-cost method to print templates on demand. In combination with ubiquitously available mobile phones, information entered on paper can be easily and rapidly digitized. This 'frugal innovation' in m-Health can empower small, private sector facilities, where large numbers of urban patients seek healthcare, to generate digital data on routine outpatient care. These data can form the basis for evidence-based quality improvement efforts at large scale, and help deliver on the SDG promise of quality essential healthcare services for all.

Specification of implementation interventions to address the cascade of HIV care and treatment in resource-limited settings: a systematic review

Background

The global response to HIV has started over 18 million persons on life-saving antiretroviral therapy (ART)—the vast majority in low- and middle-income countries (LMIC)—yet substantial gaps remain: up to 40% of persons living with HIV (PLHIV) know their status, while another 30% of those who enter care are inadequately retained after starting treatment. Identifying strategies to enhance use of treatment is urgently needed, but the conceptualization and specification of implementation interventions is not always complete. We sought to assess the completeness of intervention reporting in research to advance uptake of treatment for HIV globally.

Methods

We carried out a systematic review to identify interventions targeting the adult HIV care cascade in LMIC dating from 1990 to 2017. We identified components of each intervention as “intervention types” to decompose interventions into common components. We grouped “intervention types” into a smaller number of more general “implementation approaches” to aid summarization.

We assessed the reporting of six intervention characteristics adapted from the implementation science literature: the actor, action, action dose, action temporality, action target, and behavioral target in each study.

Findings

In 157 unique studies, we identified 34 intervention “types,” which were empirically grouped into six generally understandable “approaches.” Overall, 42% of interventions defined the actor, 64% reported the action, 41% specified the intervention “dose,” 43% reported action temporality, 61% defined the action target, and 69% reported a target behavior. Average completeness of reporting varied across approaches from a low of 50% to a high of 72%. Dimensions that involved conceptualization of the practices themselves (e.g., actor, dose, temporality) were in general less well specified than consequences (e.g., action target and behavioral target).

Implications

The conceptualization and Reporting of implementation interventions to advance treatment for HIV in LMIC is not always complete. Dissemination of standards for reporting intervention characteristics can potentially promote transparency, reproducibility, and scientific accumulation in the area of implementation science to address HIV in low- and middle-income countries.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-017-0630-8) contains supplementary material, which is available to authorized users.

Using the PMTCT Cascade to Accelerate Achievement of the Global Plan Goals

BACKGROUND

Development of country plans for prevention of mother-to-child HIV transmission (PMTCT), including expansion of comprehensive, integrated services, was key to Global Plan achievements.

APPROACHES

Use of the PMTCT cascade, an evolving series of sequential steps needed to maximize the health of women and HIV-free survival of infants, was critical for development and implementation of PMTCT plans. Regular review of cascade data at national/subnational levels was a tool for evidence-based decision making, identifying areas of greatest need at each level, and targeting program interventions to address specific gaps. Resulting improvements in PMTCT service delivery contributed to success. Populating the cascade highlighted limitations in data availability and quality that focused attention on improving national health information systems.

LIMITATIONS

Use of aggregate, cross-sectional data in the PMTCT cascade presents challenges in settings with high mobility and weak systems to track women and children across services. Poor postnatal follow-up and losses at each step of the cascade have limited use of the cascade approach to measure maternal and child health outcomes beyond the early postnatal period.

LESSONS LEARNED

A cascade approach was an effective means for countries to measure progress, identify suboptimal performance areas, and be held accountable for progress toward achievement of Global Plan goals. Using the cascade requires investment of time and effort to identify the type, source, and quality of data needed as programs evolve. Ongoing review of cascade data, with interventions to address discontinuities in the continuum of care, can translate across health areas to improve health care quality and outcomes.

Implementation of an online HIV prevention and treatment cascade in Thai men who have sex with men and transgender women using Adam's Love Electronic Health Record system

OBJECTIVES

Electronic health record (EHR) systems have been infrequently used to support HIV service delivery models to optimise HIV prevention and treatment cascades. We have studied the implementation, uptake and use of an EHR among Thai men who have sex with men (MSM) and transgender (TG) women.

METHODS

Participants, e-counselled via the Adam's Love ( www.adamslove.org) support platforms, after having completed risk behaviour questionnaires and being assessed for their HIV risk by online counsellors, were enrolled based on their preference into one of three EHR-supported arms: (1) private clinic-based HIV testing and counselling (HTC); (2) online pretest counselling and private clinic-based HIV testing (hybrid); and (3) online supervised HIV self-testing and counselling (eHTC).

RESULTS

Between December 2015 and May 2016, of a total of 489 MSM and TG women were introduced to the study, 186 (38%) enrolled into the study, with 89, 72 and 25 participants joining the HTC, hybrid and eHTC arms, respectively. Seeking sex online was reported by 83.9%. HIV prevalence was highest (16%) in the eHTC arm, and participants in this arm were more likely to be younger (median age 25 vs 29 vs 27 years; P=0.01), bisexual (16% vs 9.7% vs 5.6%; P=0.005), with an unknown history of HIV or first-time HIV testers (48% vs 25% vs 19.1%; P=0.01) or had tested >1 year ago (15.8% vs 4.8% vs 3.4%, P=0.04), compared with those in the hybrid and HTC arms. Around half (48.3%) of them revisited the EHR at least once to access laboratory results, read post-test summaries and make an appointment for another HIV test. The participants in the eHTC arm had reduced odds of revisiting the EHR twice or more as compared with participants in the HTC [odds ratio (OR) 0.14, 95% confidence interval (CI) 0.03-0.67, P=0.01] and hybrid arms (OR 0.10, 95% CI 0.02-0.44, P=0.003). Overall the EHR satisfaction was high at 4.4 (SD 0.68) on a Likert scale of 5.

CONCLUSIONS

Young and high-risk MSM and some TG women engaged successfully with the Adam's Love EHR system, showing its potential to support innovative service delivery models and target hard-to-reach and vulnerable populations.

Design and implementation of a national public health surveillance system in Jordan

Understanding and improving the health status of communities depend on effective public health surveillance. Adoption of new technologies, standardised case definitions and clinical guidelines for accurate diagnosis, and access to timely and reliable data, remains a challenge for public health surveillance systems however and existing public health surveillance systems are often fragmented, disease specific, inconsistent and of poor quality. We describe the application of an enterprise architecture approach to the design, planning and implementation of a national public health surveillance system in Jordan. This enabled a well planned and collaboratively supported system to be built and implemented using consistent standards for data collection, management, reporting and use. The system is case-based and integrated and employs mobile information technology to aid collection of real-time, standardised data to inform and improve decision-making at different levels of the health system.