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Worldwide Original Research Production on Maternal Near-Miss: A 10-year Bibliometric Study
Objective To evaluate the global productivity regarding original articles on maternal near-miss (MNM).
Methods We conducted a bibliometric analysis of original articles published from 2008 to November 2019 in the journals indexed in the Scopus database. The averages of the number of articles by author, of the number of authors by article, of the number of citations by article, and the total number of documents with one or more authors were obtained. An analysis of the co-citation of authors and a co-occurrence analysis of the terms included in the titles and abstracts were performed and were presented as network visualization maps.
Results A total of 326 original articles were analyzed. There was an increase in the number of articles (p < 0.001; average annual growth rate = 12.54%). A total of 1,399 authors, an average number of articles per author of 4.29, with an index of authors per document of 0.23, and an index of co-authors per document of 8.16 were identified. A total of 85 countries contributed with original articles on MNM. Among the top ten countries regarding the contribution of articles, five were low and middle-income countries (LMICs). Brazil had the highest volume of production (31.1%), followed by the US (11.5%). Terms related to countries and the measurement of the rates and cases of MNM and the associated factors were found in recent years in the analysis of the co-occurrence of terms.
Conclusion There was an increase in the production of original articles on MNM, with a significant participation of authors and institutions from LMICs, which reveals a growing interest in the use of MNM indicators to improve the quality of maternal health care.
The present study did not require the approval of an ethics committee since the data obtained from Scopus represents secondary data that does not include sensitive information.
All of the authors made substantial contributions to the manuscript, and met the ICMJE authorship criteria.
Received: 26 January 2020
Accepted: 25 June 2020
Article published online:
31 October 2020
© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).
Thieme Revinter Publicações Ltda
Rio de Janeiro, Brazil
- 1 Ronsmans C, Graham WJ. Lancet Maternal Survival Series steering group. Maternal mortality: who, when, where, and why. Lancet 2006; 368 (9542): 1189-1200 DOI: 10.1016/S0140-6736(06)69380-X.
- 2 United Nations. Sustainable Development Goals. Goal 3: Ensure healthy lives and promote well-being for all at all ages [Internet]. 2020 [cited 2020 Jan 10]. Available from: https://www.un.org/sustainabledevelopment/health/
- 3 Reichenheim ME, Zylbersztajn F, Moraes CL, Lobato G. Severe acute obstetric morbidity (near-miss): a review of the relative use of its diagnostic indicators. Arch Gynecol Obstet 2009; 280 (03) 337-343 DOI: 10.1007/s00404-008-0891-1.
- 4 Nanda G, Switlick K, Lule E. Accelerating progress towards achieving the MDG to improve maternal health: a collection of promising approaches [Internet]. Washington (DC): World Bank; 2005. [cited 2019 Dec 11]. Available from: http://documents.worldbank.org/curated/en/939471468163156282/pdf/319690HNP0Nand1ingProgress01public1.pdf
- 5 Say L, Souza JP, Pattinson RC. WHO working group on Maternal Mortality and Morbidity classifications. Maternal near-miss–towards a standard tool for monitoring quality of maternal health care. Best Pract Res Clin Obstet Gynaecol 2009; 23 (03) 287-296 DOI: 10.1016/j.bpobgyn.2009.01.007.
- 6 World Health Organization. Department of Reproductive Health and Research. Evaluating the quality of care for severe pregnancy complications: the WHO near-miss approach for maternal health [Internet]. Geneva: WHO; 2011. [cited 2019 Dec 11]. Available from: https://apps.who.int/iris/bitstream/handle/10665/44692/9789241502221_eng.pdf?sequence=1
- 7 Lazzerini M, Richardson S, Ciardelli V, Erenbourg A. Effectiveness of the facility-based maternal near-miss case reviews in improving maternal and newborn quality of care in low-income and middle-income countries: a systematic review. BMJ Open 2018; 8 (04) e019787 DOI: 10.1136/bmjopen-2017-019787.
- 8 Cheng T, Zhang G. Worldwide research productivity in the field of rheumatology from 1996 to 2010: a bibliometric analysis. Rheumatology (Oxford) 2013; 52 (09) 1630-1634 DOI: 10.1093/rheumatology/ket008.
- 9 England N, Madill J, Metcalfe A, Magee L, Cooper S, Salmon C. et al. Monitoring maternal near-miss/severe maternal morbidity: a systematic review. ssrn:3444404 [Preprint] 2019 . Doi: 10.2139/ssrn.3444404
- 10 Lewis G. Emerging lessons from the FIGO LOGIC initiative on maternal death and near-miss reviews. Int J Gynaecol Obstet 2014; 127 (Suppl. 01) S17-S20 DOI: 10.1016/j.ijgo.2014.07.007.
- 11 Scopus. Data | Curated. Connected. Complete [Internet]. 2019 [cited 2019 Dec 12]. Available from: https://www.elsevier.com/__data/assets/pdf_file/0017/114533/Scopus_GlobalResearch_Factsheet2019_FINAL_WEB.pdf
- 12 Aria M, Cuccurullo C. A brief introduction to bibliometrix [Internet]. 2020 [cited 2020 Jan 10]. Available from: https://cran.r-project.org/web/packages/bibliometrix/vignettes/bibliometrix-vignette.html
- 13 Souza JP, Widmer M, Gülmezoglu AM, Lawrie TA, Adejuyigbe EA, Carroli G. et al. Maternal and perinatal health research priorities beyond 2015: an international survey and prioritization exercise. Reprod Health 2014; 11: 61 DOI: 10.1186/1742-4755-11-61.
- 14 Palacios-Marqués AM, Carratala-Munuera C, Martínez-Escoriza JC. et al. Worldwide scientific production in obstetrics: a bibliometric analysis. Ir J Med Sci. 2019; 188 (03) 913-919 DOI: 10.1007/s11845-018-1954-3.
- 15 Souza JP, Widmer M, Gülmezoglu AM, Lawrie TA, Adejuyigbe EA, Carroli G. et al. Maternal and perinatal health research priorities beyond 2015: an international survey and prioritization exercise. Reprod Health 2014; 11: 61 DOI: 10.1186/1742-4755-11-61.
- 16 The World Bank. Data: World Bank Country and Lending Groups [Internet]. 2020 [cited 2020 Mar 10]. Available from: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups
- 17 World Health Organization. Maternal, newborn, child and adolescent health: what is quality of care and why is it important? [Internet]. 2020 [cited 2020 Mar 10]. Available from: https://www.who.int/maternal_child_adolescent/topics/quality-of-care/definition/en/
- 18 Alkema L, Chou D, Hogan D, Zhang S, Moller AB, Gemmill A. et al; United Nations Maternal Mortality Estimation Inter-Agency Group collaborators and technical advisory group. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. Lancet 2016; 387 (10017): 462-474 DOI: 10.1016/s0140-6736(15)00838-7.
- 19 World Health Organization. Standards for improving quality of maternal and newborn care in health facilities [Internet]. Geneva: WHO; 2016. [cited 2019 Nov. 25]. Available from: https://apps.who.int/iris/bitstream/handle/10665/249155/9789241511216-eng.pdf?sequence=1
- 20 World Health Organization. Maternal Death Surveillance and Response - background [Internet]. Maternal, newborn, child and adolescent health. 2020 [cited 2020 Jan 12]. Available from: https://www.who.int/maternal_child_adolescent/epidemiology/maternal-death-surveillance/background/en/
- 21 Kietpeerakool C, Lumbiganon P, Laopaiboon M, Rattanakanokchai S, Vogel JP, Gülmezoglu AM. Pregnancy outcomes of women with previous caesarean sections: Secondary analysis of World Health Organization Multicountry Survey on Maternal and Newborn Health. Sci Rep 2019; 9 (01) 9748 DOI: 10.1038/s41598-019-46153-4.
- 22 Pandit R, Jain V, Bagga R, Sikka P. Using near-miss model to evaluate the quality of maternal care at a tertiary health-care center: a prospective observational study. J Obstet Gynaecol India 2019; 69 (05) 405-411 DOI: 10.1007/s13224-019-01237-z.
- 23 Moudi Z, Arabnezhad L, Ansari H, Tabatabaei SM. Severe maternal morbidity among women with a history of cesarean section at a tertiary referral teaching hospital in the southeast of Iran. Public Health 2019; 175: 101-107 DOI: 10.1016/j.puhe.2019.07.016.
- 24 Rangel-Flores YY, Hernández-Ibarra LE, Martínez-Ledezma AG, García-Rangel M. [Experiences of survivors of maternal near-miss in Mexico: a qualitative study based on the three delays model]. Cad Saude Publica 2019; 35 (09) e00035418 DOI: 10.1590/0102-311x00035418.
- 25 Kasahun AW, Wako WG. Predictors of maternal near-miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study. BMC Pregnancy Childbirth 2018; 18 (01) 260 DOI: 10.1186/s12884-018-1903-1.
- 26 Witteveen T, Bezstarosti H, de Koning I, Nelissen E, Bloemenkamp KW, van Roosmalen J. et al. Validating the WHO maternal near-miss tool: comparing high- and low-resource settings. BMC Pregnancy Childbirth 2017; 17 (01) 194 DOI: 10.1186/s12884-017-1370-0.
- 27 Witteveen T, de Koning I, Bezstarosti H, van den Akker T, van Roosmalen J, Bloemenkamp KW. Validating the WHO maternal near-miss tool in a high-income country. Acta Obstet Gynecol Scand 2016; 95 (01) 106-111 DOI: 10.1111/aogs.12793.
- 28 Heemelaar S, Kabongo L, Ithindi T, Luboya C, Munetsi F, Bauer AK. et al. Measuring maternal near-miss in a middle-income country: assessing the use of WHO and sub-Saharan Africa maternal near-miss criteria in Namibia. Glob Health Action 2019; 12 (01) 1646036 DOI: 10.1080/16549716.2019.1646036.
- 29 Oliveira-Neto AF, Parpinelli MA, Costa ML, Souza RT, Ribeiro do Valle C, Sousa MH. et al. Prediction of severe maternal outcome among pregnant and puerperal women in obstetric ICU. Crit Care Med 2019; 47 (02) e136-e143 DOI: 10.1097/CCM.0000000000003549.