BackgroundUntimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery in many sub-Saharan African settings. We document Uganda’s experience in strengthening routine health data reporting through the roll-out of the District Health Management Information Software System version 2 (DHIS2).MethodsDHIS2 was adopted at the national level in January 2011. The system was initially piloted in 4 districts, before it was rolled out to all the 112 districts by July 2012. As part of the roll-out process, 35 training workshops targeting 972 users were conducted throughout the country. Those trained included Records Assistants (168, 17.3%), District Health Officers (112, 11.5%), Health Management Information System Focal Persons (HMIS-FPs) (112, 11.5%), District Biostatisticians (107, 11%) and other health workers (473, 48.7%). To assess improvements in health reporting, we compared data on completeness and timeliness of outpatient and inpatient reporting for the period before (2011/12) and after (2012/13) the introduction of DHIS2. We reviewed data on the reporting of selected health service coverage indicators as a proxy for improved health reporting, and documented implementation challenges and lessons learned during the DHIS2 roll-out process.ResultsCompleteness of outpatient reporting increased from 36.3% in 2011/12 to 85.3% in 2012/13 while timeliness of outpatient reporting increased from 22.4% to 77.6%. Similarly, completeness of inpatient reporting increased from 20.6% to 57.9% while timeliness of inpatient reporting increased from 22.5% to 75.6%. There was increased reporting on selected health coverage indicators (e.g. the reporting of one-year old children who were immunized with three doses of pentavelent vaccine increased from 57% in 2011/12 to 87% in 2012/13). Implementation challenges included limited access to computers and internet (34%), inadequate technical support (23%) and limited worker force (18%).ConclusionImplementation of DHIS2 resulted in improved timeliness and completeness in reporting of routine outpatient, inpatient and health service usage data from the district to the national level. Continued onsite support supervision and mentorship and additional system/infrastructure enhancements, including internet connectivity, are needed to further enhance the performance of DHIS2.
BackgroundMost developing countries, including Uganda, have embraced the use of e-Health and m-Health applications as a means to improve primary healthcare delivery and public health for their populace. In Uganda, the growth in the information and communications technology industry has benefited the rural communities and also created opportunities for new innovations, and their application into healthcare has reported positive results, especially in the areas of disease control and prevention through disease surveillance. However, most are mere proof-of-concepts, only demonstrated in use within a small context and lack sustainability. This study reviews the literature to understand e-Health’s current implementation status within Uganda and documents the barriers and opportunities to sustainable e-Health intervention programmes in Uganda.MethodsA structured literature review of e-Health in Uganda was undertaken between May and December 2015 and was complemented with hand searching and a document review of grey literature in the form of policy documents and reports obtained online or from the Ministry of Health’s Resource Centre.ResultsThe searches identified a total of 293 resources of which 48 articles met the inclusion criteria of being in English and describing e-Health implementation in Uganda. These were included in the study and were examined in detail.ConclusionUganda has trialled several e-Health and m-Health solutions to address healthcare challenges. Most were donor funded, operated in silos and lacked sustainability. Various barriers have been identified. Evidence has shown that e-Health implementations in Uganda have lacked prior planning stages that the literature notes as essential, for example strategy and need readiness assessment. Future research should address these shortcomings prior to introduction of e-Health innovations.
Background In developing countries like Uganda, there are shortages of health workers especially medical specialists. The referral process is frustrating to both patients and health workers (HWs). This is due to delays in accessing laboratory results/tests, costs of travel with resultant delay in consulting specialists. Telemedicine can help reduce these problems. To facilitate successful and sustainable telemedicine implementation the eHealth readiness of different stakeholders should be undertaken. This study was conducted at public health facilities (HFs) in Uganda to assess eHealth readiness across four domains; core, e-learning, clinical and technology, that might hamper adoption and integration of telemedicine. Methods A cross-sectional study using mixed methods for data collection was conducted at health center IVs, regional and national referral hospitals. The study was conducted in three parts. Quantitative data on core, e-learning and clinical readiness domains were collected from doctors and other healthcare providers (nurses/midwives, public health officers and allied healthcare workers). Respondents were categorised into ‘aware and used telemedicine’, ‘aware and not used’, ‘unaware of telemedicine’. Focus Group Discussions were conducted with patients to further assess core readiness. Technology readiness was assessed using a questionnaire with purposively selected respondents; directors, heads of medical sections, and hospital managers/superintendents. Descriptive statistics and correlations were performed using Spearman’s rank order test for relationship between technology readiness variables at the HFs. Results 70% of health professionals surveyed across three levels of HF were aware of telemedicine and 41% had used telemedicine. However, over 40% of HWs at HC-IV and RRH were unaware of telemedicine. All doctors who had used telemedicine were impressed with it. Telemedicine users and non-users who were aware of telemedicine showed core, clinical, and learning readiness. Patients were aware of telemedicine but identified barriers to its use. A weak but positive correlation existed between the different variables in technology readiness. Conclusion Respondents who were aware of and used telemedicine across all HF levels indicated core, learning and clinical readiness for adoption and integration of telemedicine at the public HFs in Uganda, although patients noted potential barriers that might need attention. In terms of technology readiness, gaps still exit at the various HF levels. Electronic supplementary material The online version of this article (10.1186/s12913-019-4057-6) contains supplementary material, which is available to authorized users.
Health provider readiness to integrate telemedicine services varies at the different levels of the health facility and job title or role. However, referral hospitals and administrators were more likely to integrate telemedicine than HC-IVs and doctors, respectively. While this study shows physicians and administrators are ready, other sectors (nurses, allied healthcare workers, public) will also need to be assessed.
Background: While e-health readiness assessment is vital to the successful implementation of e-health innovations, there is little published guidance (i.e. e-health readiness assessment frameworks (eHRAFs)) for institutions and countries. Objective: To develop an evidence-based and locally relevant eHRAF for Uganda. Method: A list of possible e-health readiness domains and constructs was developed through a structured review of the e-health literature. This list was first refined using author experience, insight and reflection. Based on this refined list, an eHRAF questionnaire was developed, which was initially pilot tested for face and content validity. Thereafter, it was distributed to 13 purposively selected study participants who were Ugandan e-health experts from the fields of health, information and communications technology (ICT) and academia. The questionnaire was discussed in a focus group setting for consensus input, where study participants confirmed, rejected or revised proposed domains and constructs suitable to guide e-health readiness assessment at either the national or site-specific level within Uganda. Results: Of 148 identified literature resources, 13 met inclusion criteria. A subjective review highlighted 11 frequently used e-health domains. Further reflection reduced these to nine domains, which were shared with study participants by means of the questionnaire. Based upon prior use of, and familiarity with, a management tool (PESTEL), participants’ consensus on factors essential for readiness assessment in Uganda was aligned with PESTEL’s six domains: political, economic, sociocultural, technological, environmental, and legal and regulatory. The participants considered engagement, and core and societal readiness as optional domains. Based on this input, the authors developed a proposed eHRAF suitable for Uganda, comprised of domains, sub-domains and constructs. Conclusion: The eHRAF developed in this research is an evidence-based framework (literature and cross-sectoral expert opinion) and consists of primary domains, sub-domains and constructs suitable for assessing e-health readiness in Uganda, either nationally or locally, prior to implementation of any e-health system. The process and principles may have utility in other countries. Implications: A national, culturally relevant, context-specific Ugandan eHRAF could facilitate efficient and effective planning and implementation of new e-health programmes across the country and assist policymakers and legislators to develop consistent and reliable guidelines and regulations.
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