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1.
J Acquir Immune Defic Syndr ; 90(2): 146-153, 2022 06 01.
Article in English | MEDLINE | ID: mdl-35213856

ABSTRACT

BACKGROUND: A better understanding why people living with HIV (PLHIV) become lost to follow-up (LTFU) and determining who is LTFU in a program setting is needed to attain HIV epidemic control. SETTING: This retrospective cross-sectional study used an evidence-sampling approach to select health facilities and LTFU patients from a large HIV program supporting 61 health facilities in Kisumu County, Kenya. METHODS: Eligible PLHIV included adults 18 years and older with at least 1 clinic visit between September 1, 2016, and August 31, 2018, and were LTFU (no clinical contact for ≥90 days after their last expected clinic visit). From March to June 2019, demographic and clinical variables were collected from a sample of LTFU patient files at 12 health facilities. Patient care status and retention outcomes were determined through program tracing. RESULTS: Of 787 LTFU patients selected and traced, 36% were male, median age was 30.5 years (interquartile range: 24.6-38.0), and 78% had their vital status confirmed with 560 (92%) alive and 52 (8%) deceased. Among 499 (89.0%) with a retention outcome, 233 (46.7%) had stopped care while 266 (53.3%) had self-transferred to another facility. Among those who had stopped care, psychosocial reasons were most common {65.2% [95% confidence interval (CI): 58.9 to 71.1]} followed by structural reasons [29.6% (95% CI: 24.1 to 35.8)] and clinic-based reasons [3.0% (95% CI: 1.4 to 6.2)]. CONCLUSION: We found that more than half of patients LTFU were receiving HIV care elsewhere, leading to a higher overall patient retention rate than routinely reported. Similar strategies could be considered to improve the accuracy of reporting retention in HIV care.


Subject(s)
Anti-HIV Agents , HIV Infections , Adult , Ambulatory Care Facilities , Anti-HIV Agents/therapeutic use , Cross-Sectional Studies , Female , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Kenya/epidemiology , Lost to Follow-Up , Male , Retrospective Studies
2.
PLOS Glob Public Health ; 2(9): e0000951, 2022.
Article in English | MEDLINE | ID: mdl-36962806

ABSTRACT

We investigated the first 152 laboratory-confirmed SARS-CoV-2 cases (125 primary and 27 secondary) and their 248 close contacts in Kisumu County, Kenya. Conducted June 10-October 8, 2020, this study included interviews and sample collection at enrolment and 14-21 days later. Median age was 35 years (IQR 28-44); 69.0% reported COVID-19 related symptoms, most commonly cough (60.0%), headache (55.2%), fever (53.3%) and loss of taste or smell (43.8%). One in five were hospitalized, 34.4% >25 years of age had at least one comorbidity, and all deaths had comorbidities. Adults ≥25 years with a comorbidity were 3.15 (95% CI 1.37-7.26) times more likely to have been hospitalized or died than participants without a comorbidity. Infectious comorbidities included HIV, tuberculosis, and malaria, but no current cases of influenza, respiratory syncytial virus, dengue fever, leptospirosis or chikungunya were identified. Thirteen (10.4%) of the 125 primary infections transmitted COVID-19 to 27 close contacts, 158 (63.7%) of whom resided or worked within the same household. Thirty-one percent (4 of 13) of those who transmitted COVID-19 to secondary cases were health care workers; no known secondary transmissions occurred between health care workers. This rapid assessment early in the course of the COVID-19 pandemic identified some context-specific characteristics which conflicted with the national line-listing of cases, and which have been substantiated in the year since. These included over two-thirds of cases reporting the development of symptoms during the two weeks after diagnosis, compared to the 7% of cases reported nationally; over half of cases reporting headaches, and nearly half of all cases reporting loss of taste and smell, none of which were reported at the time by the World Health Organization to be common symptoms. This study highlights the importance of rapid in-depth assessments of outbreaks in understanding the local epidemiology and response measures required.

3.
AIDS ; 34(8): F1-F2, 2020 07 01.
Article in English | MEDLINE | ID: mdl-32501845

ABSTRACT

: To ensure the continuity of high-quality HIV care in Kisumu County, Kenya during the corona virus disease 2019 pandemic, the Ministry of Health implemented a strategy to promote physical distancing and corona virus disease 2019 case detection. A total of 23 262 (84.2%) of the 27 641 patients eligible for early refill received an extra 3-month supply of antiretrovirals. Across 60 Ministry of Health clinics, average attendance decreased from 1298 to 640 patients per day postintervention, representing a 50.7% reduction.


Subject(s)
Anti-Retroviral Agents/therapeutic use , Antiretroviral Therapy, Highly Active/statistics & numerical data , COVID-19/prevention & control , Delivery of Health Care/organization & administration , Disaster Planning/organization & administration , HIV Infections/drug therapy , Anti-Retroviral Agents/supply & distribution , COVID-19/epidemiology , COVID-19/psychology , Delivery of Health Care/methods , Humans , Kenya/epidemiology , Physical Distancing , SARS-CoV-2
4.
Stud Health Technol Inform ; 216: 780-4, 2015.
Article in English | MEDLINE | ID: mdl-26262158

ABSTRACT

The increasing adoption of Electronic Health Records (EHR) by developing countries comes with the need to develop common terminology standards to assure semantic interoperability. In Kenya, where the Ministry of Health has rolled out an EHR at 646 sites, several challenges have emerged including variable dictionaries across implementations, inability to easily share data across systems, lack of expertise in dictionary management, lack of central coordination and custody of a terminology service, inadequately defined policies and processes, insufficient infrastructure, among others. A Concept Working Group was constituted to address these challenges. The country settled on a common Kenya data dictionary, initially derived as a subset of the Columbia International eHealth Laboratory (CIEL)/Millennium Villages Project (MVP) dictionary. The initial dictionary scope largely focuses on clinical needs. Processes and policies around dictionary management are being guided by the framework developed by Bakhshi-Raiez et al. Technical and infrastructure-based approaches are also underway to streamline workflow for dictionary management and distribution across implementations. Kenya's approach on comprehensive common dictionary can serve as a model for other countries in similar settings.


Subject(s)
Dictionaries, Medical as Topic , Electronic Health Records/organization & administration , Capacity Building , Developing Countries , Electronic Health Records/standards , Health Services Needs and Demand , Humans , Information Dissemination , Kenya , Program Development , Terminology as Topic
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