scholarly journals Factors influencing the migration intention of health professionals in low and middle income countries: Critical review with a theoretical model

2020 ◽  
Vol 6 (6) ◽  
Author(s):  
Sara Hajian ◽  
Shahram Yazdani ◽  
MohammadPooyan Jadidfard ◽  
MohammadHossein Khoshnevisan

Objective Migration of healthcare workers could result in shortage of human resources and rising inequalities in service provision in resource poor countries. The aim of this review was to determine the factors influencing the migration decisions of medical and dental graduates migrating from low- and middle-income countries as well as introducing a practical model for health professional’s migration. Methods Google Scholar and PubMed were searched together with relevant journals for English studies from January 2005 to January 2020. The original studies which evaluated the motivational factors of dental and medical graduates migrating from low or middle income countries were included. The migration model was developed by investigating the factors and frameworks of selected studies. Results Twenty-five articles were met the inclusion criteria. Push and pull theory was the most popular way to describe the driving factors of migration. These factors were classified into three macro-, meso- and micro-level with eight key domains.  Poor income, unfavorable socio-economic situation, political instability, lack of professional and educational opportunities together with family and personal concerns found as strong common reasons perpetuating migration. Conclusion Despite the fact that health workers migrate for different reasons, they follow a same route for decision to stay or leave their home countries. Un-fulfillment of expectations in mother land in addition to media reconstructed reality of life in foreign land can develop a positive attitude for better quality of life improvement after migration. Once individuals could overpass their national identity and barriers of migration, the final decision toward migration would be more feasible.

Autism ◽  
2017 ◽  
Vol 22 (8) ◽  
pp. 1005-1017 ◽  
Author(s):  
Jessy Guler ◽  
Petrus J de Vries ◽  
Noleen Seris ◽  
Nokuthula Shabalala ◽  
Lauren Franz

The majority of individuals with autism spectrum disorder live in low- and middle-income countries and receive little or no services from health or social care systems. The development and validation of autism spectrum disorder interventions has almost exclusively occurred in high-income countries, leaving many unanswered questions regarding what contextual factors would need to be considered to ensure the effectiveness of interventions in low- and middle-income countries. This study qualitatively explored contextual factors relevant to the adaptation of a caregiver-mediated early autism spectrum disorder intervention in a low-resource South African setting. We conducted four focus groups and four in-depth interviews with 28 caregivers of young children with autism spectrum disorder and used thematic analysis to identify key themes. Eight contextual factors including culture, language, location of treatment, cost of treatment, type of service provider, support, parenting practices, and stigma emerged as important. Caregivers reported a preference for an affordable, in-home, individualized early autism spectrum disorder intervention, where they have an active voice in shaping treatment goals. Distrust of community-based health workers and challenges associated with autism spectrum disorder-related stigma were identified. Recommendations that integrate caregiver preferences with the development of a low-cost and scalable caregiver-mediated early autism spectrum disorder intervention are included.


2021 ◽  
Author(s):  
Abimbola Olaniran ◽  
Jane Briggs ◽  
Ami Pradhan ◽  
Erin Bogue ◽  
Benjamin Schreiber ◽  
...  

Abstract Background: This paper explores the extent of community-level stock-out of essential medicines among Community Health Workers (CHWs) in Low- and Middle-Income Countries (LMICs) and identifies the reasons for and consequences of essential medicine stock-outs. Methods: A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted. Five electronic databases were searched with a prespecified strategy and the grey literature examined, January 2006 - March 2021. Papers containing information on (i) the percentage of CHWs stocked out or (ii) reasons for stock-outs along the supply chain and consequences of stock-out were included and appraised for risk of bias. Outcomes were quantitative data on the extent of stock-out, summarized using descriptive statistics, and qualitative data regarding reasons for and consequences of stock-outs, analyzed using thematic content analysis and narrative synthesis. Results: Two reviewers screened 1083 records; 78 evaluations were included. Over the last fifteen years, CHWs experienced stock-outs of essential medicines nearly one third of the time and at a significantly (p < 0.01) higher rate than the health centers to which they are affiliated (28.93% [CI 95%: 28.79 - 29.07] vs 9.17 % [CI 95%: 8.64 - 9.70], respectively). A comparison of the period 2006-2015 and 2016-2021 showed a significant (p < 0.01) increase in CHW stock-out level from 26.36% [CI 95%: 26.22 -26.50] to 48.65% [CI 95%: 48.02- 49.28] while that of health centers increased from 7.79% [95% CI: 7.16 - 8.42] to 14.28% [95% CI: 11.22- 17.34]. Distribution barriers were the most cited reasons for stock-outs. Ultimately, patients were the most affected: stock-outs resulted in out-of-pocket expenses to buy unavailable medicines, poor adherence to medicine regimes, dissatisfaction, and low service utilization. Conclusion: Community-level stock-out of essential medicines constitutes a serious threat to achieving universal health coverage and equitable improvement of health outcomes. This paper suggests stock-outs are getting worse, and that there are particular barriers at the last mile. There is an urgent need to address the health and non-health system constraints that prevent the essential medicines procured for LMICs by international and national stakeholders from reaching the people who need them the most.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Nessa Ryan ◽  
Vida Rebello ◽  
Desiree Gutierrez ◽  
Kameko Washburn ◽  
Alvaro Zevallos Barboza ◽  
...  

Background: Stroke is the second leading cause of death globally and an increasing concern in low- and middle-income countries (LMIC) where, due to limited capacity to treat stroke, preventative efforts are critically important. Although some research on evidence-based interventions for stroke prevention in LMIC exists, there remains a significant gap in understanding of their implementation across various contexts in LMIC. Objectives: In this scoping review, our objective was to identify and synthesize the implementation outcomes (using Proctor et al.’s taxonomy, 2011) for stroke prevention interventions, as well as to describe the diverse interventions employed. Methods: Eligible studies were empirical, focused on implementation of stroke prevention programs or policies, and occurred in at least one LMIC. Five databases were searched, including PubMed, PsycINFO, CINAHL, EMBASE, and Web of Science. Two reviewers independently assessed studies for selection and charted data; discrepancies were resolved through discussion with a third reviewer until consensus was reached. Narrative synthesis was used to analyze and interpret the findings. Results: Studies were predominantly focused in Asia, targeting primary or secondary prevention, and facility-based. Interventions were conducted at the level of individual (n=11), system (n=12), or both (n=4). Various implementation outcomes were reported, most commonly cost (n=10), acceptability (n=7), fidelity (n=7), and feasibility (n=6), but also adoption (n=4), penetration (n=3), appropriateness (n=1), and sustainability (n=1). Conclusions: Findings highlight the breadth of evidence-based interventions for stroke prevention available to implement in LMIC settings, including culturally acceptable education interventions, cost-effective medications, and community-based interventions implemented by community health workers. Implementation outcomes remain under-reported, and more rigorous research is needed to better plan and evaluate the implementation of these interventions to prevent stroke.


2020 ◽  
Vol 29 ◽  
Author(s):  
W. A. Tol ◽  
M. C. Greene ◽  
M. E. Lasater ◽  
K. Le Roch ◽  
C. Bizouerne ◽  
...  

Abstract Aims Observational studies have shown a relationship between maternal mental health (MMH) and child development, but few studies have evaluated whether MMH interventions improve child-related outcomes, particularly in low- and middle-income countries. The objective of this review is to synthesise findings on the effectiveness of MMH interventions to improve child-related outcomes in low- and middle-income countries (LMICs). Methods We searched for randomised controlled trials conducted in LMICs evaluating interventions with a MMH component and reporting children's outcomes. Meta-analysis was performed on outcomes included in at least two trials. Results We identified 21 trials with 28 284 mother–child dyads. Most trials were conducted in middle-income countries, evaluating home visiting interventions delivered by general health workers, starting in the third trimester of pregnancy. Only ten trials described acceptable methods for blinding outcome assessors. Four trials showed high risk of bias in at least two of the seven domains assessed in this review. Narrative synthesis showed promising but inconclusive findings for child-related outcomes. Meta-analysis identified a sizeable impact of interventions on exclusive breastfeeding (risk ratio = 1.39, 95% confidence interval (CI): 1.13–1.71, ten trials, N = 4749 mother–child dyads, I2 = 61%) and a small effect on child height-for-age at 6-months (std. mean difference = 0.13, 95% CI: 0.02–0.24, three trials, N = 1388, I2 = 0%). Meta-analyses did not identify intervention benefits for child cognitive and other growth outcomes; however, few trials measured these outcomes. Conclusions These findings support the importance of MMH to improve child-related outcomes in LMICs, particularly exclusive breastfeeding. Given, the small number of trials and methodological limitations, more rigorous trials should be conducted.


2020 ◽  
pp. 185-189 ◽  
Author(s):  
Nagi S. El Saghir ◽  
Benjamin O. Anderson ◽  
Julie Gralow ◽  
Gilberto Lopes ◽  
Lawrence N. Shulman ◽  
...  

PURPOSE Brain drain is the migration of educated and skilled individuals from a less developed region or country to a more economically established one. The Trump administration proposed a merit-based immigration plan. This article addresses its potential impact on health care delivery in low- and middle-income countries (LMICs) and their preparedness to deal with it. MATERIALS AND METHODS Data on immigration policies, numbers of international medical graduates practicing in high-income countries (HICs), various scientific exchange methods, and efforts for capacity building in LMICs. RESULTS Talented individuals seek to advance their knowledge and skills, and may stay in HICs because of greater rewards and opportunities. HICs also rely on immigrant international medical graduates to supplement their physician workforces. CONCLUSION Ambitious individuals from LMICs need and should have opportunities to advance their education and training in more advanced countries. LMICs should increase their educational efforts, research capabilities, infrastructures, and living conditions to better serve their own populations and reduce their brain drain phenomenon.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jessica L. Watterson ◽  
Julia Walsh ◽  
Isheeta Madeka

Mobile health (mHealth) technologies have been implemented in many low- and middle-income countries to address challenges in maternal and child health. Many of these technologies attempt to influence patients’, caretakers’, or health workers’ behavior. The purpose of this study was to conduct a systematic review of the literature to determine what evidence exists for the effectiveness of mHealth tools to increase the coverage and use of antenatal care (ANC), postnatal care (PNC), and childhood immunizations through behavior change in low- and middle-income countries. The full text of 53 articles was reviewed and 10 articles were identified that met all inclusion criteria. The majority of studies used text or voice message reminders to influence patient behavior change (80%,n=8) and most were conducted in African countries (80%,n=8). All studies showed at least some evidence of effectiveness at changing behavior to improve antenatal care attendance, postnatal care attendance, or childhood immunization rates. However, many of the studies were observational and further rigorous evaluation of mHealth programs is needed in a broader variety of settings.


2015 ◽  
Vol 71 (2) ◽  
pp. 367-371 ◽  
Author(s):  
Ujjwal Neogi ◽  
Amanda Häggblom ◽  
Kamalendra Singh ◽  
Leonard C. Rogers ◽  
Shwetha D. Rao ◽  
...  

2021 ◽  
Author(s):  
Md Zabir Hasan ◽  
Girmaye D. Dinsa ◽  
Peter Berman

Abstract BackgroundA simple indicator of technical efficiency, such as productivity of health workers, measured using routine health facility data, can be a practical approach that can inform initiatives to improve efficiency in low and middle-income countries. This paper presents a proof of concept of using routine information from primary healthcare (PHC) facilities to measure health workers’ productivity and its application in three regions of Ethiopia.MethodsIn four steps, we constructed a productivity measure of the health workforce of Health Centers (HCs) and demonstrated its practical application: (1) developing an analytical dataset using secondary data from health management information systems (HMIS) and human resource information system (HRIS); (2) principal component analysis and factor analysis to estimate a summary measure of output from five indicators (annual service volume of outpatient visits, family planning, first antenatal care visits, facility-based deliveries by skilled birth attendance, and children [<1 year] with three pentavalent vaccines); (3) calculating a productivity score by combining the summary measure and the total number of health workers (input); and (4) implementing regression models to identify the determinant of productivity and ranking HCs based on their adjusted productivity score. ResultsWe developed an analytical dataset of 1,128 HCs; however, significant missing values and outliers were reported in the data. The principal component and factor scores developed from the five output measures were highly consistent (correlation coefficient = 0.98). We considered the factor score as the summary measure of outputs for estimating productivity. A very weak association was observed between the summary measure of output and the total number of staff. The result also highlighted a large variability in productivity across similar health facilities in Ethiopia, represented by the significant dispersion in summary measure of output occurring at similar levels of the health workers. ConclusionsWe successfully demonstrated the analytical steps to estimate health worker productivity and its practical application using HMIS and HRIS. The methodology presented in this study can be readily applied in low and middle-income countries using widely available data – such as DHIS2 – that will allow further explorations to understand the causes of technical inefficiencies in the health system.


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