Aline Umubyeyi

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.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: The adoption and usability of an electronic medical record (EMR) is a critical step towards its implementation and use to enhance quality care. Use and usability of EMRs are rarely documented in low-income countries. Objective: To explore users’ experience and usability of OpenMRS, an EMR used in HIV program in Rwanda for over 13 years. Methods: We used two qualitative methods: key informant interviews; facility and specific task observations of EMR use in health facilities. We interviewed at least one nurse and a one person responsible for data management in 12 health centers. We analyzed data from key-informant interviews and observations using thematic analysis together with an informed grounded theory and, grouped our findings into themes and sub-themes. Results: The OpenMRS EMR was used, together with paper-based registers and patient cards, in HIV program. Participants were generally able to perform tasks in OpenMRS EMR easily, although nurses could complete less tasks than data managers. Participants thought the system was useful, helped them retrieve patient information easily, and were able to create pre-formatted reports. Barriers related to the use of the system included limited trained staff, staff turnover, limited infrastructure, and double data entry requirements. Suggestions for more effective use of the system were work-based trainings, facility supervisions, improved infrastructure and decentralized technical support. Conclusions: Staff from health centers experienced the OpenMRS EMR as a useful system that improves healthcare delivery process and patient care. The use of the EMR could be improved by increasing infrastructure, human resources capacity and technical support.

BACKGROUND The adoption and usability of an electronic medical record (EMR) is a critical step towards its successful implementation and enhancing quality care. Use and usability of EMRs are rarely documented in primary healthcare settings. This study explored users’ experience in the use and usability of OpenMRS, an EMR used in HIV care in Rwanda for over 13 years. OBJECTIVE To determine the user experience of the EHR in long term use, the factors that were facilitators and barriers to use and recommendations for improvements. METHODS We used two qualitative methods: key informant interviews; and facility and specific task observations of EMR use in health facilities. We interviewed at least one nurse and a data manager or data entry clerk in 12 health centers. We analyzed data from key-informant interviews and observations using an informed grounded theory together with thematic analysis, grouping our findings into themes and sub-themes. RESULTS The OpenMRS EMR was used, together with paper-based registers and patient cards, in HIV care. Participants were generally able to perform tasks in OpenMRS EMR easily, although nurses could complete fewer tasks than data managers. Participants thought the system was useful, helped them retrieve patient information easily, and were able to create pre-formatted reports. Barriers to using the system included limited staff trained to use it, staff turnover, limited infrastructure, and double data entry requirements. Suggestions for more effective use of the system were work-based trainings, facility supervisions, improved infrastructure and decentralized technical support. CONCLUSIONS Staff from health centers experienced the OpenMRS EMR as a useful system that improves healthcare delivery process and patient care. The use of the EMR could be improved by increasing infrastructure, human resources capacity and technical support.

Background: Although HIV pre-exposure prophylaxis (PrEP) is known for its effectiveness in preventing HIV transmission; there is a global rise in HIV infection rates, particularly prominent in sub-Saharan Africa. This health concern is mostly evident among high-risk groups, namely Female Sex Workers (FSWs) and Men who have Sex with Men (MSMs), both of whom are more susceptible to sexually transmissible infections. This research examined the persistence, uptake, and associated predictors of PrEP utilization within the FSW and MSM populations. Methods: A cross-sectional study design was conducted involving 4872 individuals from the FSW and MSM groups who were enrolled in a PrEP program across 10 health centers participating in a pilot initiative. The study population was subject to a year-long follow-up period commencing on March 1st, 2019. To evaluate the determinants of PrEP utilization within FSW and MSM groups, bivariate logistic analyses and multivariate logistic regression models were employed. Results: The findings revealed that the occurrence of PrEP uptake was 45.55% (n=2219) among FSWs and 35.42% (n=17 participants) among MSM. Regarding PrEP persistence, MSM (88.24%, n=15 participants) presented higher PrEP proportion than FSWs (78.5%, n=1742 women). Our findings disclosed that individuals aged 25– 34 years (aOR=0.82; 95% CI=0.72– 0.93, p=0.002), 35– 44 years (aOR=0.83; 95% CI=0.71– 0.97, p=0.017), and 55 years and older (OR=0.14; 95% CI=0.04– 0.48, p=0.002) exhibited lower likelihoods of having low PrEP uptake than those aged 15– 19 years. Moreover, individuals residing with their families (aOR=0.71; 95% CI=0.58– 0.87, p< 0.001), living with roommates (aOR=0.7; 95% CI=0.5– 0.97, p=0.032) displayed lower odds for experiencing low PrEP uptake than their counterparts living alone. Conclusion: This study highlighted the low uptake of PrEP among participants when compared to previous studies. These results revealed significant influences of age and living conditions on PrEP usage.

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.

Background: By the end of 2015, epidemiological studies approximated 37 million people living with HIV (PLHIV) and 46.3% of them were initiated to antiretroviral therapies. From the 90-90-90 strategy, by 2020 at global level, 90% of all people living with HIV were expected to suppress viral load (VL). Although VL suppression is an important indicator of treatment success in PLHIV, studies on this indicator remain scarce in Rwanda where the prevalence of HIV is 3% with 9% for non-suppression. This work, thus, determined the prevalence of VL non-suppression and its associated predictors among PLHIV. Methods: A cross-sectional study was conducted among 637 PLHIV enrolled in healthcare services between 2016 and 2017 in Nyaruguru district. Socio-demographic, treatment, clinical, immunological and VL data were extracted from medical records. Bivariate and multivariate logistic regression analyses were performed to determine associated factors with VL suppression considering 95% confidence intervals and statistical significance of p< 0.005. Results: More than half of participants were female (57.77%). The prevalence of unsuppressed HIV VL was 8.9% and 88.7% of respondents were satisfied with the service provided. Males were more likely to be unsuppressed HIV VL [aOR = 3.02; 95% CI (1.19– 7.64), p = 0.02] than females. Higher likelihoods of VL non-suppression were among those with history of clinical failure [aOR = 3.14; 95% CI (1.70– 14.03), p = 0.034] or history of treatment interruption [aOR = 8.29; 95% CI (2.60– 26.42) p = 0.002]. Those with a bad perception toward the whole life treatment were more likely to be unsuppressed [aOR = 4.32; 95% CI (1.98– 18.99), p = 0.049] than their counterparts. Conclusion: Sex, treatment interruption, bad perception toward the whole life treatment, clinical failure and lack of confidentiality were the major predictors of being unsuppressed. More efforts on counseling HIV patients to improve their knowledge would drop levels of VL non-suppression, so improving the quality of service should be prioritized to increase suppression.

Purpose: To explore challenges associated with the timely diagnosis, therapy, and prognosis of acute leukemia in Rwanda. Methods: This is a qualitative study using a phenomenological approach that involved patients, patients’ guardians, and healthcare professionals such as physicians from district hospitals and specialists from referral hospitals, as well as healthcare administrators. The primary data were collected from district and referral hospitals and central healthcare administration in Rwanda. The data were collected between July and October 2019. In-depth interviews were conducted, and thematic analysis was employed to interpret the results. Results: We identified barriers to seeking healthcare such as (i) insufficient knowledge within the population may lead patients and their guardians to consult traditional healers before seeking qualified medical care, and (ii) financial constraints that preclude payment of healthcare fees or other out-of-pocket cost related to diagnosis and treatment. We also observed that the referral system is tedious and primary healthcare facilities lack the competence and resources for the necessary diagnostic practices. Both may further delay diagnosis and therapy. Accordingly, healthcare professionals at the referral hospitals stated that most patients were seen at an advanced stage of the disease. For the treatment of acute lymphoblastic leukemia (ALL), only chemotherapy is utilized in Rwanda, while bone marrow (BM) transplantation is not available. Palliation is the only available treatment for the vast majority of Rwandan acute myeloid leukemia (AML) patients. Conclusion: ALL and AML are likely under-reported in Rwanda and diagnosis may be delayed, which may be explained by patient-related factors (lack of knowledge, financial constraints), a tedious referral system, and suboptimal diagnostic resources.

Background: Electronic health records (EHRs) have been implemented in many low-resource settings but lack strong evidence for usability, use, user confidence, scalability, and sustainability. Objective: This study aimed to evaluate staff use and perceptions of an EHR widely used for HIV care in >300 health facilities in Rwanda, providing evidence on factors influencing current performance, scalability, and sustainability. Methods: A randomized, cross-sectional, structured interview survey of health center staff was designed to assess functionality, use, and attitudes toward the EHR and clinical alerts. This study used the associated randomized clinical trial study sample (56/112, 50% sites received an enhanced EHR), pulling 27 (50%) sites from each group. Free-text comments were analyzed thematically using inductive coding. Results: Of the 100 participants, 90 (90% response rate) were interviewed at 54 health centers: 44 (49%) participants were clinical and 46 (51%) were technical. The EHR top uses were to access client data easily or quickly (62/90, 69%), update patient records (56/89, 63%), create new patient records (49/88, 56%), generate various reports (38/85, 45%), and review previous records (43/89, 48%). In addition, >90% (81/90) of respondents agreed that the EHR made it easier to make informed decisions, was worth using, and has improved patient information quality. Regarding availability, (66/88) 75% said they could always or almost always count on the EHR being available, whereas (6/88) 7% said never/almost never. In intervention sites, staff were significantly more likely to update existing records (P=.04), generate summaries before (P<.001) or during visits (P=.01), and agree that “the EHR provides useful alerts, and reminders” (P<.01). Conclusions: Most users perceived the EHR as well accepted, appropriate, and effective for use in low-resource settings despite infrastructure limitation in 25% (22/88) of the sites. The implementation of EHR enhancements can improve the perceived usefulness and use of key functions. Successful scale-up and use of EHRs in small health facilities could improve clinical documentation, care, reporting, and disease surveillance in low- and middle-income countries.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Electronic health records (EHRs) have been implemented in many low-resource settings but lack strong evidence for usability, use, user confidence, scalability, and sustainability. Objective: This study aimed to evaluate staff use and perceptions of an EHR widely used for HIV care in >300 health facilities in Rwanda, providing evidence on factors influencing current performance, scalability, and sustainability. Methods: A randomized, cross-sectional, structured interview survey of health center staff was designed to assess functionality, use, and attitudes toward the EHR and clinical alerts. This study used the associated randomized clinical trial study sample (56/112, 50% sites received an enhanced EHR), pulling 27 (50%) sites from each group. Free-text comments were analyzed thematically using inductive coding. Results: Of the 100 participants, 90 (90% response rate) were interviewed at 54 health centers: 44 (49%) participants were clinical and 46 (51%) were technical. The EHR top uses were to access client data easily or quickly (62/90, 69%), update patient records (56/89, 63%), create new patient records (49/88, 56%), generate various reports (38/85, 45%), and review previous records (43/89, 48%). In addition, >90% (81/90) of respondents agreed that the EHR made it easier to make informed decisions, was worth using, and has improved patient information quality. Regarding availability, (66/88) 75% said they could always or almost always count on the EHR being available, whereas (6/88) 7% said never/almost never. In intervention sites, staff were significantly more likely to update existing records (P=.04), generate summaries before (P<.001) or during visits (P=.01), and agree that “the EHR provides useful alerts, and reminders” (P<.01). Conclusions: Most users perceived the EHR as well accepted, appropriate, and effective for use in low-resource settings despite infrastructure limitation in 25% (22/88) of the sites. The implementation of EHR enhancements can improve the perceived usefulness and use of key functions. Successful scale-up and use of EHRs in small health facilities could improve clinical documentation, care, reporting, and disease surveillance in low- and middle-income countries.