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1.
Am J Trop Med Hyg ; 107(6): 1337-1344, 2022 12 14.
Article in English | MEDLINE | ID: mdl-36316002

ABSTRACT

Ethiopia has adopted the Integrated Community Case Management of Newborn and Child Illness (iCMNCI) strategy to expand access to neonatal and child health services. This study assessed compliance with the iCMNCI case management protocol at the primary care settings. A descriptive cross-sectional assessment was conducted in eight districts of Benishangul-Gumuz Region from April to December 2019, and 1,217 sick children aged 2 to 59 months and 43 sick young infants aged 0 to 2 months who sought clinical consultation at the 236 health posts were selected purposively. Trained supervisors reviewed the medical records of two most recent cases from each illness category to quantify the extent to which health workers correctly assessed, classified, treated, and followed up cases per the iCMNCI guidelines. A total of 32,981 children sought clinical consultation of whom 31,830 (96.5%) were aged 2 to 59 months, and 1,151 (3.5%) were young infants aged 0 to 2 months. Of the 1,217 selected children, 426 (35%) had pneumonia, 287 (23.6%) malaria, 501 (41.2%) diarrhea, and 3 (0.2%) had malnutrition. Nearly two-thirds 306 (72%) of pneumonia cases were correctly classified as having had the disease and 297 (70%) were correctly treated for pneumonia; 213 (74%) were correctly classified as having had malaria and 210 (73%) were correctly treated for malaria; and 393 (78%) were correctly classified as having had diarrhea and 297 (59%) were correctly treated for diarrhea. Generally, the current practices of child illness assessment, classification, and treatment have deviated from iCMNCI guidelines. Future interventions should support frontline health workers to comply strictly with case management protocols through training, mentorship, and supervision.


Subject(s)
Malaria , Pneumonia , Infant , Infant, Newborn , Child , Humans , Case Management , Cross-Sectional Studies , Ethiopia/epidemiology , Malaria/diagnosis , Malaria/drug therapy , Malaria/epidemiology , Diarrhea/drug therapy , Pneumonia/diagnosis , Pneumonia/epidemiology , Pneumonia/therapy , Community Health Workers/education
3.
PLoS One ; 14(9): e0222651, 2019.
Article in English | MEDLINE | ID: mdl-31557170

ABSTRACT

BACKGROUND: Knowledge of antibiotic prescription practices in low- and middle-income countries is limited due to a lack of adequate surveillance systems. OBJECTIVE: To assess the prescription of antibiotics for the treatment of acute respiratory tract infections (ARIs) in primary care. METHOD: An explanatory sequential mixed-methods study was conducted in 4 private not-for-profit outreach clinics located in slum areas in Nairobi, Kenya. Claims data of patients who received healthcare between April 1 and December 27, 2016 were collected in real-time through a mobile telephone-based healthcare data and payment exchange platform (branded as M-TIBA). These data were used to calculate the percentage of ARIs for which antibiotics were prescribed. In-depth interviews were conducted among 12 clinicians and 17 patients to explain the quantitative results. RESULTS: A total of 49,098 individuals were registered onto the platform, which allowed them to access healthcare at the study clinics through M-TIBA. For 36,210 clinic visits by 21,913 patients, 45,706 diagnoses and 85,484 medication prescriptions were recorded. ARIs were the most common diagnoses (17,739; 38.8%), and antibiotics were the most frequently prescribed medications (21,870; 25.6%). For 78.5% (95% CI: 77.9%, 79.1%) of ARI diagnoses, antibiotics were prescribed, most commonly amoxicillin (45%; 95% CI: 44.1%, 45.8%). These relatively high levels of prescription were explained by high patient load, clinician and patient perceptions that clinicians should prescribe, lack of access to laboratory tests, offloading near-expiry drugs, absence of policy and surveillance, and the use of treatment guidelines that are not up-to-date. Clinicians in contrast reported to strictly follow the Kenyan treatment guidelines. CONCLUSION: This study showed successful quantification of antibiotic prescription and the prescribing pattern using real-world data collected through M-TIBA in private not-for-profit clinics in Nairobi.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Practice Patterns, Physicians'/statistics & numerical data , Primary Health Care/statistics & numerical data , Adolescent , Child , Child, Preschool , Female , Health Information Systems , Health Surveys , Humans , Inappropriate Prescribing/statistics & numerical data , Kenya , Male , Respiratory Tract Infections/drug therapy , Urban Population/statistics & numerical data , Young Adult
4.
AIDS Care ; 29(4): 428-435, 2017 04.
Article in English | MEDLINE | ID: mdl-27701908

ABSTRACT

Adherence to combination antiretroviral therapy (cART) is generally high in most resource-limited settings. However, sub-optimal adherence occurs in a sizable proportion of patients, and is independently predictive of detectable viremia. We investigated sub-optimal adherence according to self-report, clinician-recorded, and pharmacy-refill assessment methods, and their associated factors among HIV-infected adults receiving cART in Addis Ababa, Ethiopia. Eight-hundred seventy patients who initiated cART between May 2009 and April 2012 were randomly selected, and 664 patients who were alive, had remained in clinical care and were receiving cART for at least six-months were included. Sub-optimal adherence was defined as patients' response of less than "all-of the time" to the self-report adherence question, or any clinician-recorded poor adherence during the six most recent clinic visits, or a pharmacy-refill of <95% medication possession ratio (MPR). Logistic regression models were fitted to identify factors associated with sub-optimal adherence. The average adherence level to cART, expressed as MPR, was nearly 97%. However, sub-optimal adherence occurred in 12%, 4%, and 27% of patients according to self-report, clinician-recorded, and pharmacy-refill measures, respectively. More satisfaction with social support was significantly associated with less sub-optimal adherence according to self-report and clinician-record. Younger age, lower educational level, and lower CD4 cell count at cART initiation were significantly associated with sub-optimal refill-based adherence. Findings from our large multi-center study suggest that sub-optimal adherence was present in up to a quarter of the patients, despite a high degree of average adherence to cART. Interventions aimed at preventing sub-optimal adherence should focus on improving social support, on younger patients, on patients with lower educational level, and on those who started cART at a lower CD4 cell count.


Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Medication Adherence/statistics & numerical data , Adult , Age Factors , CD4 Lymphocyte Count , Drug Prescriptions/statistics & numerical data , Drug Therapy, Combination , Educational Status , Ethiopia , Female , HIV Infections/blood , Humans , Male , Middle Aged , Self Report , Social Support
5.
Trop Med Int Health ; 21(7): 856-69, 2016 07.
Article in English | MEDLINE | ID: mdl-27118068

ABSTRACT

OBJECTIVE: Combination antiretroviral therapy (cART) suppresses viral replication to an undetectable level if a sufficiently high level of adherence is achieved. We investigated which adherence measurement best distinguishes between patients with and without detectable viral load in a public ART programme without routine plasma viral load monitoring. METHOD: We randomly selected 870 patients who started cART between May 2009 and April 2012 in 10 healthcare facilities in Addis Ababa, Ethiopia. Six hundred and sixty-four (76.3%) patients who were retained in HIV care and were receiving cART for at least 6 months were included and 642 had their plasma HIV-1 RNA concentration measured. Patients' adherence to cART was assessed according to self-report, clinician recorded and pharmacy refill measures. Multivariate logistic regression model was fitted to identify the predictors of detectable viremia. Model accuracy was evaluated by computing the area under the receiver operating characteristic (ROC) curve. RESULT: A total of 9.2% and 5.5% of the 642 patients had a detectable viral load of ≥40 and ≥400 RNA copies/ml, respectively. In the multivariate analyses, younger age, lower CD4 cell count at cART initiation, being illiterate and widowed, and each of the adherence measures were significantly and independently predictive of having ≥400 RNA copies/ml. The ROC curve showed that these variables altogether had a likelihood of more than 80% to distinguish patients with a plasma viral load of ≥400 RNA copies/ml from those without. CONCLUSION: Adherence to cART was remarkably high. Self-report, clinician recorded and pharmacy refill non-adherence were all significantly predictive of detectable viremia. The choice for one of these methods to detect non-adherence and predict a detectable viral load can therefore be based on what is most practical in a particular setting.


Subject(s)
Antiretroviral Therapy, Highly Active , HIV Infections/drug therapy , Medical Records , Medication Adherence , Pharmaceutical Services , Self Report , Viral Load , Adult , Anti-HIV Agents/therapeutic use , CD4 Lymphocyte Count , Female , Humans , Male , Middle Aged , Pharmacies , Physicians
6.
Antivir Ther ; 21(5): 385-96, 2016.
Article in English | MEDLINE | ID: mdl-26731316

ABSTRACT

BACKGROUND: Plasma viral load (pVL) is a key indicator of therapeutic response in HIV-infected patients receiving combination antiretroviral therapy (cART), but is often unavailable in routine clinical care in resource-limited settings. Previous model-based simulation studies have suggested that the benefits of routine pVL monitoring among patients on first-line regimens in resource-limited settings are modest, but this needs corroboration in well-defined study populations. METHODS: We investigated virological suppression levels and identified predictors of detectable viraemia among 870 randomly selected patients who started cART between May 2009 and April 2012 in 10 health-care facilities in Addis Ababa, Ethiopia. A total of 656 (75.4%) patients, who were alive, were retained in HIV care and receiving cART for at least 6 months provided a blood sample for pVL measurement. Predictors of detectable viraemia were identified in a multivariate logistic regression model. RESULTS: In on-treatment analysis, 94.5% (95% CI 92.5, 96.1) of the patients achieved virological suppression below 400 copies/ml after a median (IQR) of 26 (17-35) months on cART. When patients who were lost to follow-up, dead or stopped were assumed to have had detectable viraemia, the proportion of patients with virological suppression <400 copies/ml decreased to 74.6% (95% CI 71.5%, 77.4%). Younger age, lower educational status, <95% medication adherence, lower CD4(+) T-cell count at cART initiation and/or the diagnosis of immunological failure thereafter significantly predicted detectable viraemia. CONCLUSIONS: Virological suppression levels can be high in an established ART programme in a resource-limited setting, even without the availability of routine pVL monitoring. Efforts to improve treatment outcomes should focus on younger and illiterate patients, earlier detection of HIV-positive status and cART initiation before patients are severely immunocompromised, and improving retention in care.


Subject(s)
Antiretroviral Therapy, Highly Active , HIV Infections/drug therapy , HIV Infections/virology , HIV-1 , Adult , CD4 Lymphocyte Count , Ethiopia , Female , HIV Infections/immunology , HIV-1/drug effects , Health Resources , Humans , Male , Medication Adherence , RNA, Viral/blood , Viral Load/drug effects
7.
PLoS One ; 10(6): e0130649, 2015.
Article in English | MEDLINE | ID: mdl-26114436

ABSTRACT

BACKGROUND: Patient retention in chronic HIV care is a major challenge following the rapid expansion of combination antiretroviral therapy (cART) in Ethiopia. OBJECTIVE: To describe the proportion of patients who are retained in HIV care and characterize predictors of attrition among HIV-infected adults receiving cART in Addis Ababa. METHOD: A retrospective analysis was conducted among 836 treatment naïve patients, who started cART between May 2009 and April 2012. Patients were randomly selected from ten health-care facilities, and their current status in HIV care was determined based on routinely available data in the medical records. Patients lost to follow-up (LTFU) were traced by telephone. Kaplan-Meier technique was used to estimate survival probabilities of retention and Cox proportional hazards regression was performed to identify the predictors of attrition. RESULTS: Based on individual patient data from the medical records, nearly 80% (95%CI: 76.7, 82.1) of the patients were retained in care in the first 3 and half years of antiretroviral therapy. After successfully tracing more than half of the LTFU patients, the updated one year retention in care estimate became 86% (95% CI: 83.41%, 88.17%). In the multivariate Cox regression analyses, severe immune deficiency at enrolment in care/or at cART initiation and 'bed-ridden' or 'ambulatory' functional status at the start of cART predicted attrition. CONCLUSION: Retention in HIV care in Addis Ababa is comparable with or even better than previous findings from other resource-limited as well as EU/USA settings. However, measures to detect and enroll patients in HIV care as early as possible are still necessary.


Subject(s)
Anti-Retroviral Agents/administration & dosage , Delivery of Health Care/methods , Delivery of Health Care/organization & administration , HIV Infections/drug therapy , Adult , Drug Therapy, Combination/methods , Ethiopia/epidemiology , Female , HIV Infections/epidemiology , Humans , Male
8.
AIDS Care ; 27(8): 934-45, 2015.
Article in English | MEDLINE | ID: mdl-25782603

ABSTRACT

Health-related quality of life (HRQoL) is an important outcome measure among HIV-infected patients receiving combination antiretroviral therapy (cART), but has not been studied extensively in resource-limited settings. Insight in the predictors or correlates of poor HRQoL may be helpful to identify patients most in need of additional support and to design appropriate interventions. A cross-sectional study was conducted between September 2012 and April 2013 in 10 healthcare facilities in Addis Ababa, Ethiopia. Patients who were at least 6 months on cART were randomly selected and individual patient data were retrieved from medical records. HRQoL was measured by the WHOQoL-HIVBREF, depressive-symptoms by the Kessler-6 scale, and stigma by the Kalichman internalized AIDS-related stigma scale. Multivariate linear regression analysis was carried-out to examine associations between HRQoL and the other variables. A total of 664 patients (response-rate 95%) participated in the study. A higher level of depressive-symptoms was most strongly and consistently associated with a lower HRQoL, both in terms of the magnitude of the relationship and in the number of HRQoL domains associated with it. Also, a higher level of HIV-stigma was associated with a lower HRQoL except for the physical domain, while obtaining sufficient nutritious food and job opportunity were associated with a better HRQoL except for the spiritual and social domains, respectively. Demographics, clinical, and treatment characteristics yielded few significant associations with HRQoL. Our study findings suggest that interventions to improve HRQoL should focus on reducing depressive-symptoms and HIV-stigma, and on enhancing food security and job opportunity.


Subject(s)
Anti-HIV Agents/therapeutic use , Antiretroviral Therapy, Highly Active/methods , Depression/epidemiology , HIV Infections/drug therapy , HIV Infections/psychology , Quality of Life , Adaptation, Physiological , Adult , Aged , Cross-Sectional Studies , Depression/diagnosis , Ethiopia/epidemiology , Female , HIV Infections/epidemiology , Health Facilities , Health Resources , Health Status , Humans , Male , Middle Aged , Multivariate Analysis , Outcome Assessment, Health Care , Predictive Value of Tests , Social Stigma , Socioeconomic Factors , Surveys and Questionnaires
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