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Mapping evidence on malnutrition screening tools for children under 5 years in sub-Saharan Africa: a scoping review protocol

Systematic Reviews volume 9, Article number: 52 (2020) Cite this article

Abstract

Background

In sub-Saharan Africa (SSA), malnutrition remains a major public health challenge, particularly among children under 5 years of age. Despite nutritional screening tools being developed and available to detect early malnutrition in under five-year-old children, malnutrition continues to be a health concern. However, the level of evidence on nutritional screening tools for predicting early malnutrition at the community level in a high disease burden setting is unclear. The objective of this scoping review is to systematically map the evidence on malnutrition screening tools for children under 5 years in sub-Saharan Africa (SSA) and to identify knowledge gaps.

Methods

The proposed study will be guided by an improved Arksey and O’Malley’s framework, Levac et al. 2010 recommendations, and the 2015 Joanna Briggs Institute guidelines. We will conduct a systematic search of relevant imperial sources of evidence from the following databases: CINAHL with full text, Academic search complete via EBSCOhost, Google Scholar, Science Direct, and PubMed. We will search for grey literature from the following humanitarian and aid organization websites: World Health Organization (WHO), The United Nations International Children’s Emergency Fund (UNICEF), and governmental departments. Following the database searches and title screening, eligible sources of evidence will be exported to an EndNote X9 reference library. Thereafter, duplicate articles will be removed in preparation for abstract and full article screenings. Data from the included sources of evidence will be extracted, and the emerging themes will be analyzed. The relationship between the emerging themes and the research questions will be critically examined. The quality of the included sources of evidence will be determined by using the Mixed Method Appraisal Tool (MMAT) version 2018. The search results will be presented in adapted Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Reviews chart (PRISMA-ScR).

Discussion

We anticipate finding relevant literature on malnutrition screening tools for children under 5 years in SSA. This study is likely to reveal research gaps, which could guide future research on malnutrition screening tools.

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Background

Malnutrition remains a major public health challenge, particularly among children under 5 years of age [1]. Globally, about 17 million children under 5 years of age suffer from severe acute malnutrition (SAM) and the majority live in southern Asia and sub-Saharan Africa (SSA) [2]. In this scoping review, SSA refers to 46 African countries that are fully or partially located in the south of the Sahara [3]. The United Nations International Children’s Emergency Fund (UNICEF), the World Health Organization (WHO), and the World Bank estimate global and regional child malnutrition reports that we are still far from a world free of malnutrition among children under-five, that there is insufficient progress in achieving the World Health Assembly targets set for 2025 and the 2030 Sustainable Development Goals [4]. As children living in SSA are at a higher risk of malnutrition, improved screening, availability of appropriate paediatric screening tools and their correct use, check-ups, and timely interventions to improve the health outcomes of children is pivotal [5, 6].

Malnutrition screening tools (MST) are instruments used for early detection of patients who are nutritionally at risk and those who are already malnourished [7]. Since 1995, several MST for early detection of malnutrition in hospitalized children have been developed and proposed for use (high-income countries (HIC) [8, 9]). In SSA, MST commonly used to classify malnutrition indicators (wasting, stunting, and underweight) in children under 5 years of age include the use of anthropometric assessments such as height-for-age (HFA), weight-for-height (WFH), weight-for-age (WFA), and mid-upper arm circumference (MUAC) [10, 11]. Reasons due to the inadequate or incorrect use of malnutrition screening tools include lack of training, health professional’s insufficient awareness, misunderstanding of available tools, shortages of equipment or personnel, and lack of nutritional information given to caregivers. It is important that MST follow effective and efficient processes, as the correct interpretation and use of these tools are crucial to improving early detection and care linkage in malnourished children [12, 13].

An initial scoping search of the literature to determine whether systematic reviews and recommendations on our research questions that have been published has found these manuscripts more in HIC. Suitable screening tools for children are scarce with no consensus on the best method to assess their risk of malnutrition despite several recommendations on the importance of its early identification [14,15,16]. Moreover, due to a lack of simple validated methods, malnutrition screening is not widely and correctly performed [17, 18]. Research studies conducted in South Africa and Uganda have shown that health professionals have inadequate knowledge of available nutritional status interpretation tools as gaps have been identified [19, 20]. Moreover, the level of evidence on nutritional screening tools to predict early malnutrition at community levels in high disease burdened settings such as SSA is unclear.

Hence, as this is a broad topic, a scoping review was found to be most useful over a systematic review to map a range of literature that exists and would aid in focusing the research questions by charting existing research findings and identifying research gaps [21, 22]. It is anticipated that the results of this review will reveal gaps to guide future research and inform policymakers to ensure the successful implementation of current and future MST for children under-five in disease burdened settings. The results will also ensure that health professionals and educators are aware of the MST that need to be included in local medical curricula. In this sense, there will be early identification of children who are at risk of malnutrition, and it is essential because it allows appropriate nutritional interventions to prevent malnutrition and its consequences.

Objective

The objective of this scoping review is to systematically map the evidence on malnutrition screening tools for children under the age of five in sub-Saharan Africa (SSA) and to identify knowledge gaps.

Methodology

Design

A scoping review method was selected as it outlines different types of evidence in the area of interest and highlights gaps for further research. Based on this, the current scoping review uses an enhanced Arksey and O’Malley’s framework, Levac et al. 2010 recommendations, and the 2015 Joanna Briggs Institute guidelines to guide the methodology of this scoping review [23,24,25]. The framework involves (1) identifying the research question, (2) identifying relevant sources of evidence, (3) selection of sources of evidence and eligibility, (4) charting the data, and (5) collating, summarizing, and reporting the results. The results of this proposed study will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Review guidelines (PRISMA-ScR) [26]. This protocol has not been registered a priori. The PRISMA-P checklist was used for this protocol (Additional file 1) [28, 29].

Identifying the research question

The research questions are based on the research objective that was formulated using the Population-Concept-Context (PCC) framework designed by the Joanna Briggs Institute [25]. It was used to determine the eligibility of the scoping review question as shown in Table 1.

Table 1 Eligibility criteria
Full size table

The primary research question is what evidence exists on malnutrition screening tools for children under 5 years living in sub-Saharan Africa?

The secondary research questions are:

  • What malnutrition screening tools are used for children under 5 years in sub-Saharan Africa?

  • What evidence exists regarding the performance of malnutrition screening tools for children under 5 years in sub-Saharan Africa?

Identifying relevant sources of evidence

The review will include empirical literature and grey literature that present evidence on malnutrition screening tools for children under 5 years in SSA. We will search for relevant empirical literature from the following electronic databases: CINAHL with full text, Academic search complete via EBSCOhost, Google Scholar, Science Direct, and PubMed. To improve the quality and reduce errors of the electronic search, the search strategies were peer reviewed using the PRESS 2015 Evidence-Based Checklist [30]. The keywords informing the searches are malnutrition screening tools, nutritional screening tools, children under 5 years, and sub-Saharan countries. We will also search for grey literature from the following sources: humanitarian and aid organization websites such as The World Health Organisation (WHO), The United Nations International Children’s Emergency Fund (UNICEF), and governmental departments’ websites. These websites will be searched for current policies, guidelines, statistics, and interventions. The reference lists of the included articles will be thoroughly searched for relevant articles by a research assistant. Additionally, when relevant sources of evidence are inaccessible, authors will be contacted for the actual articles. A University of KwaZulu-Natal (UKZN) librarian specializing in developing searches in the health sciences was consulted to assist in the development of this search strategy. We have piloted the search strategies to check for the appropriateness of the selected databases and keywords using the Boolean terms “AND” and “OR” to separate the search terms. The results thereof are found in Table 2.

Table 2 Draft search for PubMed/MEDLINE
Full size table

Selection of sources of evidence and eligibility

To fine-tune the selection of the sources of evidence process and to improve consistency, a pilot test will be conducted prior to the review process commencing. There will be no language restrictions applied to the literature search. About 60 publications will be used for this procedure. To reduce any selection bias, screening of study titles and abstracts from the databases listed above will be conducted by two investigators (TPM and EO) independently. The relevant sources of evidence will be identified with the guidance of the inclusion and exclusion criteria. The eligible sources of evidence will then be exported to an Endnote X9 library created specifically for this review. All duplicates identified will be deleted before sharing the Endnote library with the two reviewers. An abstract screening form with questions will be developed based on our eligibility criteria. Discrepancies between reviewers at the title and abstract stage will be resolved through discussions until a consensus is reached. Following the title and abstract screening, full articles will be screened by the two reviewers (DMM and TPM) independently in parallel. Discrepancies between reviewers at the full article stage will be resolved by a third screener (DK). To ensure the reproducibility of the study, the references of excluded sources of evidence and the rationale for exclusion will be provided in an additional file of the completed review. Figure 1 presents an example of our planned selection of sources of evidence [26, 27].

Fig. 1
figure 1

Selection of sources of evidence. PRISMA ScR flowchart which demonstrates the literature search and Selection of Sources of Evidence

Full size image

Eligibility criteria

To ensure that relevant sources of evidence are selected for this review, the study selection process will be guided by the eligibility criteria as specified under the inclusion/exclusion criteria. The sources of evidence will include information from empirical literature and grey literature that present evidence on malnutrition screening tools for children under 5 years in SSA.

  1. 1.

    Population

  1. a)

    We will include articles presenting evidence of children under 5 years. Under-five in this study refers to children who are less than 5 years old.

  2. b)

    We will exclude articles presenting evidence on children who are under-five but with developmental delays (e.g., children with cerebral palsy). This is because the tools that are used to screen children at risk of malnutrition are different from the ones used in children without delays.

  1. 2.

    Concept

  1. a)

    Articles reporting evidence on malnutrition screening tools will be included in this study. Malnutrition screening tools refer to tools used to screen patients who are at risk of malnutrition [7].

  2. b)

    Articles and studies that did not include the specificity of malnutrition screening tools will be excluded.

  3. c)

    Articles published between 2010 and 2019 will be considered in order to obtain the most recent information on our research topic.

  1. 3.

    Context

  1. a)

    We will include articles reporting evidence from SSA. Sub-Saharan Africa refers to 46 African countries that are fully or partially located south of the Sahara [3].

Charting/extraction of data

A data charting form will be created using a Google form where all the necessary extracted data from the included sources of evidence can be populated (Table 3). The standard bibliographical information (i.e., authors, title, and year of publication), geographical setting, study setting, study design, and aim of the study will be reported in the form. For each of the included sources of evidence, information on the target population, type of intervention, nature of the outcome, key findings, most significant findings, conclusions, and notes will also be tabled. The data extraction will be conducted by two investigators (TPM and EO) independently, and the extraction form will continually be updated to ensure accuracy and consistency of extracted data. All disagreements between investigators in the data extraction process will be addressed through discussion until consensus is reached. Persistent disagreements will be resolved by involving a third screener (DK).

Table 3 Data extraction table
Full size table

Collating, summarizing, and reporting the results

We will present a narrative account of the findings from the included sources of evidence and present themes. Thematic content analysis will be employed to extract the themes, which will be critically examined in relation to the study research question, the aim of the study, literature, gaps for future research, and MST for under 5 years in SSA countries. The implications of the study results for future research, policy, and practice will be examined and reported on.

Quality appraisal

We will utilize the Mixed Method Appraisal Tool (MMAT) version 2018 to appraise the methodological quality of included sources of evidence [31]. The criteria for the appropriateness of included sources of evidence will be determined by the aim of the study, appropriate methodology, study design, recruitment strategy, and appropriate sampling technique. Other items include suitable data collection procedures, appropriate data analysis, appropriate data interpretation, presentation of findings, discussion, and conclusions of the author from the included articles. A quality appraisal will be carried out to examine the strengths, weaknesses, and quality of research evidence and presented for each included article. The quality of all the included articles will be calculated and rated using the MMAT guidelines with 25% accounting for low-quality articles, 50% being average, 75% being above average, and 100% being high average. This will ensure that the study designs of the included sources of evidence are appropriate for the research objectives. The quality assessment will also assist us in reporting on the risk of bias and the quality of evidence of the included sources.

Differences between the protocol and the review

All differences between the protocol and the final research study will be reported together with the rationale for these changes. The consequences of these modifications on the magnitude, direction, and validity of the outcomes will also be presented [32].

Discussion

Timely treatment of malnutrition in children of five years of age at primary healthcare facilities could prevent 500,000 deaths annually [33]. Hence, the importance of best practices regarding malnutrition screening tools for children under 5 years. This study will encourage the correct use of MST for children under-five and its findings could assist with the achievement of the Sustainable Development Goals (SDGs). As the focus of this review is on malnutrition screening tools, sources of evidence that do not focus on malnutrition screening tools will be excluded since such data is irrelevant and will not address the study research questions.

The limitations of this research study include the following: (1) it may omit sources of evidence that include participants older than five and may result in the exclusion of important sources of evidence and (2) including sources of evidence published between 2010 and 2019 could introduce the risk of publication bias. However, this period was chosen because it will represent the most recent information on our research topic. The study will focus on children under the age of 5 years in SSA as literature has shown that this region has the highest under-five mortality rate in the world [34]. Moreover, prior to 2011, a Road to Health Card (RTHC) was used as an essential monitoring tool for children under five-year-old’s health. However, the Road to Health Booklet (RTHB) is currently being used to monitor children under-five health and its correct use assists in the early detection of malnutrition [35]. Hence, the limitation of our literature to 2010 and 2019 will result in us obtaining the most recent information during this period.

The current scoping review strength is that it addresses objectives that are important for patients, clinicians, and policymakers. We expect that the scoping review results will provide a comprehensive overview of the evidence on the topic and highlight areas where evidence is controversial or missing. Additionally, it will provide key information to policymakers and health professionals interested in planning, funding, and delivering evidence-based effective interventions aimed at preventing malnutrition in children under 5 years. Moreover, identified research gaps could inform future studies and guide policy decisions to enhance healthcare outcomes in SSA. We plan to disseminate the study’s findings in peer-reviewed journals and at conference proceedings that focus on nutritional and disease screening. Additionally, the study findings will be disseminated to professionals and stakeholders involved in malnutrition prevention and treatment.

Availability of data and materials

All data generated or analyzed during this study will be included in the published scoping review article and will be available upon request.

Abbreviations

HFA:

Height-for-age

HIC:

Higher income countries

MST:

Malnutrition screening tools

MUAC:

Mid-upper arm circumference

PCC:

Population-Concept-Context

PRISMA ScR:

Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Reviews

SSA:

Sub-Saharan Africa

UNICEF:

United Nations International Children’s Emergency Fund

WFA:

Weight-for-age

WFH:

Weight-for-height

WHO:

World Health Organization

References

  1. Haddad LJ, Hawkes C, Achadi E, Ahuja A, Ag Bendech M, Bhatia K, Bhutta Z, Blossner M, Borghi E, Eriksen K, Fanzo J. Global Nutrition Report 2015: actions and accountability to advance nutrition and sustainable development. Intl Food Policy Res Inst. 2015;15.

  2. UNICEF, WHO, World Bank. Joint child malnutrition estimates. Levels and trends in child malnutrition. New York, Geneva: UNICEF, WHO, World Bank; 2017.

    Google Scholar 

  3. The political definition of “Major regions”, according to the “UN”. Archived from the original on 20 April 2010. Retrieved 15 December 2010. https://en.wikipedia.org/wiki/Sub-Saharan_Africa.

  4. United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank. Levels and trends in child malnutrition: key findings of the 2019 edition of the joint child malnutrition estimates.

  5. Steenkamp L, Lategan R, Raubenheimer J. Moderate malnutrition in children aged five years and younger in South Africa: are wasting or stunting being treated? South Afr J Clin Nutr. 2016;29(1):27–31. https://doi.org/10.1080/16070658.2016.1215886.

    Article  Google Scholar 

  6. Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D. Stunting, wasting and underweight in sub-Saharan Africa: a systematic review. Int J Environ Res Public Health. 2017;14:863. https://doi.org/10.3390/ijerph14080863.

    Article  PubMed Central  Google Scholar 

  7. Neelemaat F, Meijers J, Kruizenga H, van Ballegooijen H, van Bokhorst-de van der Schueren M. Comparison of five malnutrition screening tools in one hospital inpatient sample. J Clin Nurs. 2011;20(15-16):2144–52.

    Article  Google Scholar 

  8. McCarthy A, Delvin E, Marcil V, Belanger V, Marchand V, Boctor D, Rashid M, Noble A, Davidson B, Groleau V, Spahis S. Prevalence of malnutrition in pediatric hospitals in developed and in-transition countries: the impact of hospital practices. Nutrients. 2019;11(2):236.

    Article  Google Scholar 

  9. Huysentruyt K, Vandenplas Y, De Schepper J. Screening and assessment tools for pediatric malnutrition. Curr Opin Clin Nutr Metab Care. 2016;19(5):336–40.

    Article  Google Scholar 

  10. World Health Organization. WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development, 2006. 924154693X_eng.pdf.

  11. Briend A, Maire B, Fontaine O, Garenne M. Mid-upper arm circumference and weight-for-height to identify high-risk malnourished under-five children. Matern Child Nutr. 2012;8(1):130–3 https://doi.org/10.1111/j.1740-8709.2011.00340.x.

    Article  Google Scholar 

  12. Huysentruyt K, Devreker T, Dejonckheere J, De Schepper J, Vandenplas Y, Cools F. Accuracy of nutritional screening tools in assessing the risk of undernutrition in hospitalized children. J Pediatr Gastroenterol Nutr. 2015;61(2):159–66. https://doi.org/10.1097/MPG.000000000000081.

    Article  CAS  PubMed  Google Scholar 

  13. Fox J, White M, Beck K, et al. Malnutrition screening in an Australian tertiary pediatric hospital. Clin Nutr Suppl. 2012;7:180.

    Article  Google Scholar 

  14. Teixeira AF, Viana KD. Nutritional screening in hospitalized pediatric patients: a systematic review. J Pediatr. 2016;92(4):343–52.

    Article  Google Scholar 

  15. Gerasimidis K, Keane O, Macleod I, Flynn DM, Wright CM. A four-stage evaluation of the Paediatric Yorkhill Malnutrition Score in a tertiary pediatric hospital and a district general hospital. Br J Nutr. 2010;104(5):751–6.

    Article  CAS  Google Scholar 

  16. White M, Lawson K, Ramsey R, Dennis N, Hutchinson Z, Soh XY, Matsuyama M, Doolan A, Todd A, Elliott A, Bell K. Simple nutrition screening tool for pediatric inpatients. JPEN J Parenter Enteral Nutr. 2016;40(3):392–8.

    Article  CAS  Google Scholar 

  17. Barker LA, Gout BS, Crowe TC. Hospital malnutrition: prevalence, identification, and impact on patients and the healthcare system. Int J Environ Res Public Health. 2011;8(2):514–27. https://doi.org/10.3390/ijerph8020514.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Eglseer D, Schoberer D, Halfens R, et al. The impact of using a malnutrition screening tool in a hospital setting: a mixed-methods study. Eur J Clin Nutr. 2019;73:284–92. https://doi.org/10.1038/s41430-018-0339-z.

    Article  PubMed  Google Scholar 

  19. Cloete I, Daniels L, Jordaan J, Derbyshire C, Volmink L, Schubl C. Knowledge and perceptions of nursing staff on the new Road to Health Booklet growth charts in primary healthcare clinics in the Tygerberg sub-district of the Cape Town metropole district. South Afr J Clin Nutr. 2013;26(3):141–6.

    Article  Google Scholar 

  20. Wanzira H, Muyinda R, Lochoro P, Putoto G, Segafredo G, Wamani H, Lazzerini M. Quality of care for children with acute malnutrition at health center level in Uganda: a cross-sectional study in West Nile region during the refugee crisis. BMC Health Serv Res. 2018;18(1):561.

    Article  Google Scholar 

  21. Munn Z, Peters MDJ, Stern C, et al. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol. 2018;18:143. https://doi.org/10.1186/s12874-018-0611-x.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Pham MT, Rajić A, Greig JD, Sargeant JM, Papadopoulos A, McEwen SA. A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods. 2014;5(4):371–85. https://doi.org/10.1002/jrsm.1123.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Article  Google Scholar 

  24. Levac D, Colquhoun H, O'Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):69.

    Article  Google Scholar 

  25. Joanna Briggs Institute. Joanna Briggs Institute Reviewers’ Manual: 2015 Edition, methodology for JBI scoping reviews. 2015.

  26. Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C, Lewin S, Godfrey CM, Macdonald MT, Langlois EV, Soares-Weiser K, Moriarty J, Clifford T, Tunçalp Ö, Straus SE. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73. https://doi.org/10.7326/M18-0850 Epub 2018 Sep 4.

    Article  PubMed  Google Scholar 

  27. Tricco AC, Lillie E, Zarin W, O’Brien K, Colquhoun H, Kastner M, Levac D, Ng C, Sharpe JP, Wilson K, Kenny M. A scoping review on the conduct and reporting of scoping reviews. BMC Med Res Methodol. 2016;16(1):15.

    Article  Google Scholar 

  28. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1.

    Article  Google Scholar 

  29. Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A Deceased, Petticrew M, Shekelle P, Stewart LA; the PRISMA-P Group: Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ 2015;349:g7647.

    Article  Google Scholar 

  30. McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016;75:40–6.

    Article  Google Scholar 

  31. Hong QN, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, Gagnon M, Griffiths F, Nicolau B, O'Cathain A, Rousseau M, Vedel I, Pluye P. The Mixed Methods Appraisal Tool (MMAT) Version 2018 for information professionals and researchers. Educ Inform. 2018;34(4):285–91.

    Article  Google Scholar 

  32. Higgins JP, Green S, editors. Cochrane handbook for systematic reviews of interventions: Wiley; 2011.

  33. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis M, Ezzati M, Grantham-McGregor S, Katz J, Martorell R, Uauy R. Maternal, and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382(9890):427–51.

    Article  Google Scholar 

  34. World Health Organization. Global Health Estimates 2016: deaths by cause, age, sex, by country and by region, 2000-2016. Geneva:2018.

  35. Department of health and social services. Implementation of a new road to health booklet. Johannesburg; 2011. (Circular 9).

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Acknowledgments

The authors express their gratitude to the University of KwaZulu-Natal for the support of this study.

Consent for application

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Funding

No funding has been secured yet for this study.

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Authors and Affiliations

  1. Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Howard College Campus, 2nd Floor of George Campbell Building, Durban, 4001, South Africa

    Tlharihani Phisac Maphosa, Delarise Maud Mulqueeny, Ernest Osei, Desmond Kuupiel & Tivani P. Mashamba-Thompson

  2. Department of Social Science, Gender and Education, School of Education, University of KwaZulu-Natal, Room 01-032, 121 Marianhill Rd, Pinetown, Durban, 3605, South Africa

    Delarise Maud Mulqueeny

  3. Research for Sustainable Development Consult, Sunyani, Ghana

    Desmond Kuupiel

  4. Department of Public Health, University of Limpopo, Polokwane, Limpopo Province, South Africa

    Tivani P. Mashamba-Thompson

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Contributions

The study was conceptualized by TPM and TPMT. TPM wrote the first draft and DMM, OE, and TPMT critically reviewed the manuscript. All authors (TPM, DMM, OE, DK, and TPMT) reviewed the final drafted manuscript and approved it.

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Correspondence to Ernest Osei.

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Supplementary information

Additional file 1.

PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) 2015 checklist: recommended items to address in a systematic review protocol*.

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Maphosa, T.P., Mulqueeny, D.M., Osei, E. et al. Mapping evidence on malnutrition screening tools for children under 5 years in sub-Saharan Africa: a scoping review protocol. Syst Rev 9, 52 (2020). https://doi.org/10.1186/s13643-020-01309-6

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Keywords

Systematic Reviews

ISSN: 2046-4053