Professional practice models for nurses in low-income countries: an integrative review

Background: Attention is turning to nurses, who form the greatest proportion of health personnel worldwide, to play a greater role in delivering health services amidst a severe human resources for health crisis and overwhelming disease burden in low-income countries. Nurse leaders in low-income countries must consider essential context for nurses to fulfill their professional obligation to deliver safe and reliable health services. Professional practice models (PPMs) have been proposed as a framework for strategically positioning nurses to impact health outcomes. PPMs comprise 5 elements: professional values, patient care delivery systems, professional relationships, management approach and remuneration. In this paper, we synthesize the existing literature on PPMs for nurses in low-income countries. Methods: An integrative review of CINAHL-EBSCO, PubMed and Scopus databases for English language journal articles published after 1990. Search terms included nurses, professionalism, professional practice models, low-income countries, developing countries and relevant Medical Subject Heading Terms (MeSH). Results: Sixty nine articles published between 1993 and 2014 were included in the review. Twenty seven articles examined patient care delivery models, 17 professional relationships, 12 professional values, 11 remuneration and 1 management approach. One article looked at comprehensive PPMs. Conclusions: Adopting comprehensive PPMs or their components can be a strategy to exploit the capacity of nurses and provide a framework for determining the full expression of the nursing role

District health manager and mid-level provider perceptions of practice environments in acute obstetric settings in Tanzania: a mixed-method study

Background: In sub-Saharan Africa, the capacity of human resources for health (HRH) managers to create positive practice environments that enable motivated, productive, and high-performing HRH is weak. We implemented a unique approach to examining HRH management practices by comparing perspectives offered by mid-level providers (MLPs) of emergency obstetric care (EmOC) in Tanzania to those presented by local health authorities, known as council health management teams (CHMTs). Methods: This study was guided by the basic strategic human resources management (SHRM) component model. A convergent mixed-method design was utilized to assess qualitative and quantitative data from the Health Systems Strengthening for Equity: The Power and Potential of Mid-Level Providers project. Survey data was obtained from 837 mid-level providers, 83 of whom participated in a critical incident interview whose aim was to elicit negative events in the practice environment that induced intention to leave their job. HRH management practices were assessed quantitatively in 48 districts with 37 members of CHMTs participating in semi-structured interviews. Results: The eight human resources management practices enumerated in the basic SHRM component model were implemented unevenly. On the one hand, members of CHMTs and mid-level providers agreed that there were severe shortages of health workers, deficient salaries, and an overwhelming workload. On the other hand, members of CHMTs and mid-level providers differed in their perspectives on rewards and allocation of opportunities for in-service training. Although written standards of performance and supervision requirements were available in most districts, they did not reflect actual duties. Members of CHMTs reported high levels of autonomy in key HRH management practices, but mid-level providers disputed the degree to which the real situation on the ground was factored into job-related decision-making by CHMTs. Conclusions: The incongruence in perspectives offered by members of CHMTs and mid-level providers points to deficient HRH management practices, which contribute to poor practice environments in acute obstetric settings in Tanzania. Our findings indicate that members of CHMTs require additional support to adequately fulfill their HRH management role. Further research conducted in low-income countries is necessary to determine the appropriate package of interventions required to strengthen the capacity of members of CHMTs

Cytokine expression in malaria-infected non-human primate placentas

Malaria parasites are known to mediate the induction of inflammatory immune responses at the maternal-foetal interface during placental malaria (PM) leading to adverse consequences like pre-term deliveries and abortions. Immunological events that take place within the malaria-infected placental micro-environment leading to retarded foetal growth and disruption of pregnancies are among the critical parameters that are still in need of further elucidation. The establishment of more animal models for studying placental malaria can provide novel ways of circumventing problems experienced during placental malaria research in humans such as inaccurate estimation of gestational ages. Using the newly established olive baboon (Papio anubis)-Plasmodium knowlesi (P. knowlesi) H strain model of placental malaria, experiments were carried out to determine placental cytokine profiles underlying the immunopathogenesis of placental malaria. Four pregnant olive baboons were infected with blood stage P. knowlesi H strain parasites on the one fiftieth day of gestation while four other uninfected pregnant olive baboons were maintained as uninfected controls. After nine days of infection, placentas were extracted from all the eight baboons through cesarean surgery and used for the processing of placental plasma and sera samples for cytokine sandwich enzyme linked immunosorbent assays (ELISA). Results indicated that the occurrence of placental malaria was associated with elevated concentrations of tumour necrosis factor alpha (TNF-{\alpha}) and interleukin 12 (IL-12). Increased levels of IL-4, IL-6 and IL-10 and interferon gamma (IFN-{\gamma}) levels were detected in uninfected placentas. These findings match previous reports regarding immunity during PM thereby demonstrating the reliability of the olive baboon-P. knowlesi model for use in further studies.Comment: Open Veterinary Journal 1st June 2012. Seven pages, Three Figures. arXiv admin note: text overlap with arXiv:1201.323

Alterations on peripheral B cell subsets following an acute uncomplicated clinical malaria infection in children

<p>Abstract</p> <p>Background</p> <p>The effects of <it>Plasmodium falciparum </it>on B-cell homeostasis have not been well characterized. This study investigated whether an episode of acute malaria in young children results in changes in the peripheral B cell phenotype.</p> <p>Methods</p> <p>Using flow-cytofluorimetric analysis, the B cell phenotypes found in the peripheral blood of children aged 2–5 years were characterized during an episode of acute uncomplicated clinical malaria and four weeks post-recovery and in healthy age-matched controls.</p> <p>Results</p> <p>There was a significant decrease in CD19⁺B lymphocytes during acute malaria. Characterization of the CD19⁺B cell subsets in the peripheral blood based on expression of IgD and CD38 revealed a significant decrease in the numbers of naive 1 CD38^-IgD⁺B cells while there was an increase in CD38⁺IgD^-memory 3 B cells during acute malaria. Further analysis of the peripheral B cell phenotype also identified an expansion of transitional CD10⁺CD19⁺B cells in children following an episode of acute malaria with up to 25% of total CD19⁺B cell pool residing in this subset.</p> <p>Conclusion</p> <p>Children experiencing an episode of acute uncomplicated clinical malaria experienced profound disturbances in B cell homeostasis.</p

Concomitant infections of Plasmodium falciparum and Wuchereria bancrofti on the Kenyan coast

BACKGROUND: Anopheles gambiae s.l. and An. funestus are important vectors of malaria and bancroftian filariasis, which occur as co-endemic infections along the Kenyan Coast. However, little is known about the occurrence and prevalence of concomitant infections of the two diseases in mosquito and human populations in these areas. This study reports the prevalence of concomitant infections of Plasmodium falciparum and Wuchereria bancrofti in mosquito and human populations in Jilore and Shakahola villages in Malindi, Kenya. METHODS: Mosquitoes were sampled inside houses by pyrethrum spray sheet collection (PSC) while blood samples were collected by finger prick technique at the end of entomological survey. RESULTS: A total of 1,979 female Anopheles mosquitoes comprising of 1,919 Anopheles gambiae s.l and 60 An. funestus were collected. Concomitant infections of P. falciparum sporozoites and filarial worms occurred in 1.1% and 1.6% of An. gambiae s.l collected in Jilore and Shakahola villages respectively. Wuchereria-infected mosquitoes had higher sporozoite rates compared to non-infected mosquitoes, but multiple infections appeared to reduce mosquito survivorship making transmission of such infections rare. None of the persons examined in Shakahola (n = 107) had coinfections of the two parasites, whereas in Jilore (n = 94), out of the 4.3% of individuals harbouring both parasites, 1.2% had P. falciparum gametocytes and microfilariae and could potentially infect the mosquito with both parasites simultaneously. CONCLUSION: Concerted efforts should be made to integrate the control of malaria and bancroftian filariasis in areas where they co-exist

TparvaDB: a database to support Theileria parva vaccine development

We describe the development of TparvaDB, a comprehensive resource to facilitate research towards development of an East Coast fever vaccine, by providing an integrated user-friendly database of all genome and related data currently available for Theileria parva. TparvaDB is based on the Generic Model Organism Database (GMOD) platform. It contains a complete reference genome sequence, Expressed Sequence Tags (ESTs), Massively Parallel Signature Sequencing (MPSS) expression tag data and related information from both public and private repositories. The Artemis annotation workbench provides online annotation functionality. TparvaDB represents a resource that will underpin and promote ongoing East Coast fever vaccine development and biological research

Where Are the Newly Diagnosed HIV Positives in Kenya? Time to Consider Geo-Spatially Guided Targeting at a Finer Scale to Reach the “First 90”

Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 2015 to 30 September 2016 to assess the spatial distribution of newly diagnosed HIV-positives. We used the Moran's Index (Moran's I) to assess global and local spatial auto-correlation of newly diagnosed HIV-positive tests and Kulldorff spatial scan statistics to detect hotspots of newly diagnosed HIV-positive tests. For aggregated data, we used Kruskal-Wallis equality-of-populations non-parametric rank test to compare absolute numbers across classes. Results: Out of 4,021 HTS sites, 3,969 (98.7%) had geocodes available. Most facilities (3,034, 76.4%), were not spatially autocorrelated for the number of newly diagnosed HIV-positives. For the rest, clustering occurred as follows; 438 (11.0%) were HH, 66 (1.7%) HL, 275 (6.9%) LH, and 156 (3.9%) LL. Of the HH sites, 301 (68.7%) were in high HIV-burden counties. Over half of 123 clusters with a significantly high number of newly diagnosed HIV-infected persons, 73(59.3%) were not in the five highest HIV-burden counties. Clusters with a high number of newly diagnosed persons had twice the number of positives per 1,000,000 tests than clusters with lower numbers (29,856 vs. 14,172). Conclusions: Although high HIV-burden counties contain clusters of sites with a high number of newly diagnosed HIV-infected persons, we detected many such clusters in low-burden counties as well. To expand HTS where most needed and reach the “first 90” targets, geospatial analyses and mapping make it easier to identify and describe localized epidemic patterns in a spatially dispersed epidemic like Kenya's, and consequently, reorient and prioritize HTS strategies.publishedVersio

Bed net use and associated factors in a rice farming community in Central Kenya

<p>Abstract</p> <p>Background</p> <p>Use of insecticide-treated nets (ITNs) continues to offer potential strategy for malaria prevention in endemic areas. However their effectiveness, sustainability and massive scale up remain a factor of socio-economic and cultural variables of the local community which are indispensable during design and implementation stages.</p> <p>Methods</p> <p>An ethnographic household survey was conducted in four study villages which were purposefully selected to represent socio-economic and geographical diversity. In total, 400 households were randomly selected from the four study villages. Quantitative and qualitative information of the respondents were collected by use of semi-structured questionnaires and focus group discussions.</p> <p>Results</p> <p>Malaria was reported the most frequently occurring disease in the area (93%) and its aetiology was attributed to other non-biomedical causes like stagnant water (16%), and long rains (13%). Factors which significantly caused variation in bed net use were occupant relationship to household head (χ²= 105.705; df 14; P = 0.000), Age (χ²= 74.483; df 14; P = 0.000), village (χ²= 150.325; df 6; P = 0.000), occupation (χ²= 7.955; df 3; P = 0.047), gender (χ²= 4.254; df 1; P = 0.039) and education levels of the household head or spouse (χ²= 33.622; df 6; P = 0.000). The same variables determined access and conditions of bed nets at household level. Protection against mosquito bite (95%) was the main reason cited for using bed nets in most households while protection against malaria came second (54%). Colour, shape and affordability were some of the key potential factors which determined choice, use and acceptance of bed nets in the study area.</p> <p>Conclusion</p> <p>The study highlights potential social and economic variables important for effective and sustainable implementation of bed nets-related programmes in Sub-Saharan Africa.</p