scholarly journals Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Scoping Review ◽  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries

Abstract Introduction In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than 10 years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods We performed a systematic scoping review in Scopus of specific gridded population datasets and "population" or "household" "survey" reports, and solicited additional published and unpublished sources from colleagues. Results We identified 43 national and sub-national gridded population-based household surveys implemented across 29 LMICs. Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, some survey teams interviewed all households in each cluster or segment, and others sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda

2020 ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries ◽  
Household Survey Data

Objective: In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than ten years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods: We performed a systematic review and identified 43 national and sub-national gridded population-based household surveys implemented across 29 LMICs. Findings: Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, many surveys interviewed all households in each cluster or segment, though some sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions: For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda

2019 ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries ◽  
Household Survey Data

Objective: In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than ten years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods: We performed a systematic review and identified 23 national and sub-national gridded population-based household surveys implemented across 18 LMICs. Findings: Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, many surveys interviewed all households in each cluster or segment, though some sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions: For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Exploration of recovery of people living with severe mental illness (SMI) in low/middle-income countries (LMICs): a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e045005
Author(s):  
Fadia Gamieldien ◽  
Roshan Galvaan ◽  
Bronwyn Myers ◽  
Zarina Syed ◽  
Katherine Sorsdahl
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Scoping Review ◽  
Data Extraction ◽  
Flow Diagram ◽  
Personal Recovery ◽  
Middle Income ◽  
Middle Income Countries ◽  
Provider Perspectives ◽  
Low Middle Income Countries

ObjectiveTo examine the literature on how recovery of people with severe mental illness (SMI) is conceptualised in low/middle-income countries (LMICs), and in particular what factors are thought to facilitate recovery.DesignScoping review.Data sources and eligibilityWe searched 14 electronic databases, hand searched citations and consulted with experts during the period May–December 2019. Eligible studies were independently screened for inclusion and exclusion by two reviewers. Unresolved discrepancies were referred to a third reviewer.Data extraction and synthesisAll bibliographical data and study characteristics were extracted using a data charting form. Selected studies were analysed through a thematic analysis emerging from extracted data.ResultsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram offers a summary of the results: 4201 titles, 1530 abstracts and 109 full-text articles were screened. Ten articles were selected for inclusion: two from Turkey, two from India, and one each from China, Swaziland, Indonesia, Egypt, South Africa and Vietnam. Although most studies used qualitative methods, data collection and sampling methods were heterogeneous. One study reported on service provider perspectives while the rest provided perspectives from a combination of service users and caregivers. Three themes emerged from the data analysis. First, studies frame recovery as a personal journey occurring along a continuum. Second, there was an emphasis on social relationships as a facilitator of recovery. Third, spirituality emerged as both a facilitator and an indicator of recovery. These themes were not mutually exclusive and some overlap exists.ConclusionAlthough there were commonalities with how high-income countries describe recovery, we also found differences in conceptualisation. These differences in how recovery was understood reflect the importance of framing the personal recovery concept in relation to local needs and contextual issues found in LMICs. This review highlighted the current sparse evidence base and the need to better understand recovery from SMI in LMICs.

scholarly journals Preparing nurses and nursing students to care for older adults in lower and middle-income countries: A scoping review

2019 ◽  
Vol 92 ◽  
pp. 121-134 ◽  
Author(s):  
Diana Abudu-Birresborn ◽  
Lynn McCleary ◽  
Martine Puts ◽  
Vida Yakong ◽  
Lisa Cranley
Keyword(s):  
Older Adults ◽  
Nursing Students ◽  
Scoping Review ◽  
Middle Income ◽  
Middle Income Countries

scholarly journals Suicide prevention in low- and middle-income countries: part perceptions, partial solutions

2017 ◽  
Vol 211 (5) ◽  
pp. 264-265 ◽  
Author(s):  
K. S. Jacob
Keyword(s):  
Public Health ◽  
Suicide Prevention ◽  
Cause Of Death ◽  
Population Based ◽  
Personal Distress ◽  
Public Health Perspective ◽  
Middle Income ◽  
Common Cause ◽  
Middle Income Countries ◽  
Low And Middle Income

SummarySuicide, a common cause of death in many low- and middle-income countries, has often been viewed through a medical/psychiatric lens. Such perspectives medicalise social and personal distress and suggest individual and medication-based treatments. This editorial argues for the need to examine suicide from a public health perspective and suggests the need for population-based social and economic interventions.

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