Alexandra V Kulinkina
Overview
Explore the profile of Alexandra V Kulinkina including associated specialties, affiliations and a list of published articles.
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29
Citations
162
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Recent Articles
1.
Lotto T, Gallay J, Zuakulu M, Ternon B, Decosterd L, Kulinkina A, et al.
Antibiotics (Basel)
. 2025 Feb;
14(2).
PMID: 40001436
Background: Inappropriate antibiotic use drives antimicrobial resistance and remains a global concern. Evidence suggests antibiotic use may be higher among malaria-negative patients compared to malaria-positive ones, but uncertainty persists, particularly...
2.
Kachimanga C, Ngambi W, Kazinga D, Ndarama E, Amulele M, Munyaneza F, et al.
Int J Womens Health
. 2025 Feb;
17:245-257.
PMID: 39906674
Purpose: Maternal mortality in Malawi is high, with low coverage of maternity care being a contributing factor. To improve maternal health coverage, an Android-based, integrated mobile health (mHealth) app called...
3.
Tan R, Kavishe G, Kulinkina A, Renggli S, Luwanda L, Mangu C, et al.
PLOS Digit Health
. 2024 Dec;
3(12):e0000694.
PMID: 39715234
Digital clinical decision support tools have contributed to improved quality of care at primary care level health facilities. However, data from real-world randomized trials are lacking. We conducted a cluster...
4.
Kachimanga C, Zaniku H, Divala T, Ket J, Mukherjee J, Palazuelos D, et al.
JMIR Mhealth Uhealth
. 2024 Sep;
12:e55819.
PMID: 39316427
Background: Limited information exists on the impact of mobile health (mHealth) use by community health workers (CHWs) on improving the use of maternal health services in sub-Saharan Africa (SSA). Objective:...
5.
Kachimanga C, Mulwafu M, Ndambo M, Harare J, Murkherjee J, Kulinkina A, et al.
Digit Health
. 2024 May;
10:20552076241253994.
PMID: 38757088
Background: The use of mobile health technology (mHealth) by community health workers (CHWs) can strengthen community-based service delivery and improve access to and quality of healthcare. Objective: This qualitative study...
6.
Lotto T, Renggli S, Kaale E, Masanja H, Ternon B, Decosterd L, et al.
Clin Microbiol Infect
. 2024 May;
30(8):1042-1048.
PMID: 38740136
Objectives: Children account for a significant proportion of antibiotic consumption in low- and middle-income countries, with overuse occurring in formal and informal health sectors. This study assessed the prevalence and...
7.
Dibba Y, Kachimanga C, Gassimu J, Kulinkina A, Bukhman G, Gilbert H, et al.
BMJ Open
. 2024 Feb;
14(2):e077326.
PMID: 38346892
Objective: To retrospectively analyse routinely collected data on the drivers and barriers to retention in chronic care for patients with hypertension in the Kono District of Sierra Leone. Design: Convergent...
8.
Tan R, Kavishe G, Luwanda L, Kulinkina A, Renggli S, Mangu C, et al.
Nat Med
. 2023 Dec;
30(1):76-84.
PMID: 38110580
Excessive antibiotic use and antimicrobial resistance are major global public health threats. We developed ePOCT+, a digital clinical decision support algorithm in combination with C-reactive protein test, hemoglobin test, pulse...
9.
Trapence C, Kanyenda C, Muyila F, Ndarama E, Suffrin D, Connolly E, et al.
BMJ Open
. 2023 Aug;
13(8):e069870.
PMID: 37586863
Objective: To compare the impact of a teen club model to the standard care model on HIV treatment outcomes among adolescents (10-19 years of age). Design: Retrospective cohort study. Setting:...
10.
Trottet C, Vogels T, Keitel K, Kulinkina A, Tan R, Cobuccio L, et al.
PLOS Digit Health
. 2023 Jul;
2(7):e0000108.
PMID: 37459285
Clinical Decision Support Systems (CDSS) have the potential to improve and standardise care with probabilistic guidance. However, many CDSS deploy static, generic rule-based logic, resulting in inequitably distributed accuracy and...