WHO Standards-based questionnaire to measure health workers’ perspective on the quality of care around the time of childbirth in the WHO European region: development and mixed-methods validation in six countries
ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective.DesignMixed-methods study.SettingSix countries of the WHO European Region.Participants and methodsTh...
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Published in | BMJ open Vol. 12; no. 4; p. e056753 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
British Medical Journal Publishing Group
08.04.2022
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Original research |
Subjects | |
Online Access | Get full text |
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Abstract | ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective.DesignMixed-methods study.SettingSix countries of the WHO European Region.Participants and methodsThe questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.ResultsThe questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.ConclusionsFindings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.Trail registration number NCT04847336 |
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AbstractList | ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective.DesignMixed-methods study.SettingSix countries of the WHO European Region.Participants and methodsThe questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.ResultsThe questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.ConclusionsFindings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.Trail registration numberNCT04847336 Objectives Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective.Design Mixed-methods study.Setting Six countries of the WHO European Region.Participants and methods The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.Results The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.Conclusions Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.Trail registration number NCT04847336 OBJECTIVES: Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers' perspective.DESIGN: Mixed-methods study.SETTING: Six countries of the WHO European Region.PARTICIPANTS AND METHODS: The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.RESULTS: The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach's alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet's AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.CONCLUSIONS: Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire's use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.TRAIL REGISTRATION NUMBER: NCT04847336. Objectives - Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective. Design - Mixed-methods study. Setting - Six countries of the WHO European Region. Participants and methods - The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries. Results - The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording. Conclusions - Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC. OBJECTIVESDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers' perspective. DESIGNMixed-methods study. SETTINGSix countries of the WHO European Region. PARTICIPANTS AND METHODSThe questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries. RESULTSThe questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach's alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet's AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording. CONCLUSIONSFindings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire's use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC. TRAIL REGISTRATION NUMBERNCT04847336. Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers' perspective.Mixed-methods study.Six countries of the WHO European Region.The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach's alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet's AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire's use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.NCT04847336. ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective.DesignMixed-methods study.SettingSix countries of the WHO European Region.Participants and methodsThe questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.ResultsThe questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.ConclusionsFindings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.Trail registration number NCT04847336 Objectives Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers’ perspective. Design Mixed-methods study. Setting Six countries of the WHO European Region. Participants and methods The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries. Results The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach’s alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet’s AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording. Conclusions Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire’s use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC. Trail registration number NCT04847336 Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers' perspective. Mixed-methods study. Six countries of the WHO European Region. The questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries. The questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach's alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet's AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording. Findings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire's use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC. NCT04847336. |
Author | Rezeberga, Dace Lincetto, Ornella Verardi, Giuseppa Dias, Heloísa Batram-Zantvoort, Stephanie Brigidi, Serena Morano, Sandra Rudzīte, Paula Costa, Raquel Virginie, Rozée Pfund, Anouck Nanu, Micaela Iuliana Sacks, Emma Yarotskaya, Ekaterina Tasch, Barbara Elden, Helen Barata, Catarina Abderhalden, Alessia Rodrigues, Carina Drglin, Zalka Tataj-Puzyna, Urszula Ćerimagic, Amira Ružičić, Jovana Thorn, Harriet Rochebrochard, Elise deLa Lazzerini, Marzia Vaska, Agnija Labrusse, Claire De Drandić, Daniela Ērmane, Elīna Bohinec, Anja Löfgren, Kristina Vilcāne, Katrīna Paula Kurbanović, Magdalena Zanin, Beatrice Linden, Karolina Zaigham, Mehreen Sengpiel, Verena Muzigaba, Moise Jakovicka, Dārta Viver, Ana Canales Covi, Benedetta Nedberg, Ingvild Węgrzynowska, Maria Baranowska, Barbara Mariani, Ilaria Castañeda, Lara Martín Pumpure, Elizabete Ponikvar, Barbara Mihevc Arendt, Maryse Otelea, Marina Wandschneider, Lisa Miani, Céline Artzi-Medvedik, Rada Santos, Teresa Kongslien, Sigrun Radetić, Jelena Chertok, Ilana Nanu, Ioana Valente, Emanuelle Pessa Vik, |
AuthorAffiliation | 11 EPIUnit - Institute of Public Health , University of Porto , Porto , Portugal 4 SAMAS Association , Bucharest , Romania 12 Laboratory for Integrative and Translational Research in Population Health (ITR) , Porto , Portugal 8 Department of Obstetrics and Gynecology - Institution of Clinical Sciences Lund , Lund University, Lund and Skåne University Hospital , Malmö , Sweden 13 Human-Environment Interaction Lab , Universidade Lusófona , Porto , Portugal 16 Faculty of Health Studies, University of Rijeka , Rijeka , Croatia 7 Region Västra Götaland, Department of Obstetrics and Gynecology , Sahlgrenska University Hospital , Gothenburg , Sweden 17 Department of International Health , Johns Hopkins University , Baltimore , Maryland , USA 1 WHO Collaborating Centre for Maternal and Child Health , Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” , Trieste , Italy 9 Department of Health and Caring Sciences , Western Norway University of Applied Sciences , Bergen , Norway 6 Institute of |
AuthorAffiliation_xml | – name: 17 Department of International Health , Johns Hopkins University , Baltimore , Maryland , USA – name: 6 Institute of Health and Care Sciences, Sahlgrenska Academy , University of Gothenburg , Gothenburg , Sweden – name: 12 Laboratory for Integrative and Translational Research in Population Health (ITR) , Porto , Portugal – name: 4 SAMAS Association , Bucharest , Romania – name: 10 Department of Health and Care Sciences, Faculty of Health Sciences , UiT The Arctic University of Norway , Tromsø , Norway – name: 16 Faculty of Health Studies, University of Rijeka , Rijeka , Croatia – name: 2 Medical School and Midwifery School , Genoa University , Genoa , Italy – name: 11 EPIUnit - Institute of Public Health , University of Porto , Porto , Portugal – name: 18 Department of Maternal, Newborn, Child and Adolescent Health and Ageing , World Health Organization , Geneva , Switzerland – name: 5 National Institute for Mother and Child Health "Alessandrescu - Rusescu" , Bucharest , Romania – name: 7 Region Västra Götaland, Department of Obstetrics and Gynecology , Sahlgrenska University Hospital , Gothenburg , Sweden – name: 9 Department of Health and Caring Sciences , Western Norway University of Applied Sciences , Bergen , Norway – name: 1 WHO Collaborating Centre for Maternal and Child Health , Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” , Trieste , Italy – name: 14 Regional Health Administration of the Algarve , IP (ARS - Algarve) , Albufeira , Portugal – name: 3 University of Medicine and Pharmacy Carol Davila , Bucharest , Romania – name: 13 Human-Environment Interaction Lab , Universidade Lusófona , Porto , Portugal – name: 15 Roda – Parents in Action , Zagreb , Croatia – name: 8 Department of Obstetrics and Gynecology - Institution of Clinical Sciences Lund , Lund University, Lund and Skåne University Hospital , Malmö , Sweden |
Author_xml | – sequence: 1 givenname: Emanuelle Pessa orcidid: 0000-0002-4741-4628 surname: Valente fullname: Valente, Emanuelle Pessa email: emanuelle.pessavalente@burlo.trieste.it organization: WHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS “Burlo Garofolo”, Trieste, Italy – sequence: 2 givenname: Benedetta surname: Covi fullname: Covi, Benedetta organization: WHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS “Burlo Garofolo”, Trieste, Italy – sequence: 3 givenname: Ilaria orcidid: 0000-0001-8260-4788 surname: Mariani fullname: Mariani, Ilaria organization: WHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS “Burlo Garofolo”, Trieste, Italy – sequence: 4 givenname: Sandra surname: Morano fullname: Morano, Sandra organization: Medical School and Midwifery School, Genoa University, Genoa, Italy – sequence: 5 givenname: Marina orcidid: 0000-0002-0829-0562 surname: Otelea fullname: Otelea, Marina organization: SAMAS Association, Bucharest, Romania – sequence: 6 givenname: Ioana surname: Nanu fullname: Nanu, Ioana organization: National Institute for Mother and Child Health "Alessandrescu - Rusescu", Bucharest, Romania – sequence: 7 givenname: Micaela Iuliana surname: Nanu fullname: Nanu, Micaela Iuliana organization: National Institute for Mother and Child Health "Alessandrescu - Rusescu", Bucharest, Romania – sequence: 8 givenname: Helen orcidid: 0000-0003-0000-0476 surname: Elden fullname: Elden, Helen organization: Region Västra Götaland, Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden – sequence: 9 givenname: Karolina orcidid: 0000-0002-2792-3142 surname: Linden fullname: Linden, Karolina organization: Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden – sequence: 10 givenname: Mehreen surname: Zaigham fullname: Zaigham, Mehreen organization: Department of Obstetrics and Gynecology - Institution of Clinical Sciences Lund, Lund University, Lund and Skåne University Hospital, Malmö, Sweden – sequence: 11 givenname: Eline Skirnisdottir surname: Vik fullname: Vik, Eline Skirnisdottir organization: Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway – sequence: 12 givenname: Sigrun surname: Kongslien fullname: Kongslien, Sigrun organization: Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway – sequence: 13 givenname: Ingvild surname: Nedberg fullname: Nedberg, Ingvild organization: Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway – sequence: 14 givenname: Raquel surname: Costa fullname: Costa, Raquel organization: Human-Environment Interaction Lab, Universidade Lusófona, Porto, Portugal – sequence: 15 givenname: Carina orcidid: 0000-0003-1720-2808 surname: Rodrigues fullname: Rodrigues, Carina organization: Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal – sequence: 16 givenname: Heloísa surname: Dias fullname: Dias, Heloísa organization: Regional Health Administration of the Algarve, IP (ARS - Algarve), Albufeira, Portugal – sequence: 17 givenname: Daniela surname: Drandić fullname: Drandić, Daniela organization: Roda – Parents in Action, Zagreb, Croatia – sequence: 18 givenname: Magdalena surname: Kurbanović fullname: Kurbanović, Magdalena organization: Faculty of Health Studies, University of Rijeka, Rijeka, Croatia – sequence: 19 givenname: Emma surname: Sacks fullname: Sacks, Emma organization: Department of International Health, Johns Hopkins University, Baltimore, Maryland, USA – sequence: 20 givenname: Moise surname: Muzigaba fullname: Muzigaba, Moise organization: Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland – sequence: 21 givenname: Ornella surname: Lincetto fullname: Lincetto, Ornella organization: Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland – sequence: 22 givenname: Marzia orcidid: 0000-0001-8608-2198 surname: Lazzerini fullname: Lazzerini, Marzia organization: WHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - 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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35396296$$D View this record in MEDLINE/PubMed https://gup.ub.gu.se/publication/315218$$DView record from Swedish Publication Index https://lup.lub.lu.se/record/79f3d13a-81ce-4710-a263-0f5f7ee0f20d$$DView record from Swedish Publication Index |
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Copyright | Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. info:eu-repo/semantics/openAccess Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2022 |
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publication-title: Int J Gynaecol Obstet doi: 10.1002/ijgo.13156 contributor: fullname: Poon – ident: 2023071806150532000_12.4.e056753.67 doi: 10.1371/journal.pone.0171804 – ident: 2023071806150532000_12.4.e056753.10 – ident: 2023071806150532000_12.4.e056753.43 – ident: 2023071806150532000_12.4.e056753.35 doi: 10.1093/med/9780199685219.001.0001 – volume: 4 start-page: e10 year: 2020 ident: 2023071806150532000_12.4.e056753.63 article-title: Delayed access or provision of care in Italy resulting from fear of COVID-19 publication-title: Lancet Child Adolesc Health doi: 10.1016/S2352-4642(20)30108-5 contributor: fullname: Lazzerini – ident: 2023071806150532000_12.4.e056753.28 doi: 10.1186/s12992-015-0117-9 – ident: 2023071806150532000_12.4.e056753.6 – ident: 2023071806150532000_12.4.e056753.2 – ident: 2023071806150532000_12.4.e056753.47 – ident: 2023071806150532000_12.4.e056753.11 doi: 10.1787/82129230-en – ident: 2023071806150532000_12.4.e056753.25 – ident: 2023071806150532000_12.4.e056753.36 doi: 10.1016/j.jclinepi.2006.03.012 – ident: 2023071806150532000_12.4.e056753.13 doi: 10.1136/bmjgh-2020-002967 – volume: 155 start-page: 48-56 year: 2021 ident: 2023071806150532000_12.4.e056753.17 article-title: Differential impact of COVID-19 in pregnant women from high-income countries and low- to middle-income countries: a systematic review and meta-analysis publication-title: Int J Gynaecol Obstet doi: 10.1002/ijgo.13793 contributor: fullname: Gajbhiye – volume: 175 start-page: 817 year: 2021 ident: 2023071806150532000_12.4.e056753.18 article-title: Maternal and neonatal morbidity and mortality among pregnant women with and without COVID-19 infection: the INTERCOVID multinational cohort study publication-title: JAMA Pediatr doi: 10.1001/jamapediatrics.2021.1050 contributor: fullname: Villar – ident: 2023071806150532000_12.4.e056753.5 doi: 10.1371/journal.pmed.1001847 – ident: 2023071806150532000_12.4.e056753.52 – ident: 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2023071806150532000_12.4.e056753.74 doi: 10.1111/j.1365-2753.2010.01434.x – ident: 2023071806150532000_12.4.e056753.37 doi: 10.4103/sja.SJA_203_17: 10.4103/sja.SJA_203_17 – ident: 2023071806150532000_12.4.e056753.71 doi: 10.1016/0895-4356(90)90158-L – ident: 2023071806150532000_12.4.e056753.3 – ident: 2023071806150532000_12.4.e056753.46 – volume: 5 start-page: e247 year: 2020 ident: 2023071806150532000_12.4.e056753.19 article-title: COVID and the convergence of three crises in Europe publication-title: Lancet Public Health doi: 10.1016/S2468-2667(20)30078-5 contributor: fullname: Bozorgmehr |
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Snippet | ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from... Objectives Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... OBJECTIVESDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... Objectives - Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... OBJECTIVES: Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... Objectives Develop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of... |
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SubjectTerms | Annan medicin och hälsovetenskap Childbirth & labor Coronaviruses COVID-19 Data collection Female Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi Health Sciences Health services Health Services Research Humans Hälsovetenskap Infant Infant, Newborn Maternal & child health Maternal mortality Medical and Health Sciences Medicin och hälsovetenskap Mixed methods research NEONATOLOGY Newborn Nursing OBSTETRICS Omvårdnad Other Medical Sciences Pandemics Pregnancy Psychometrics Public Health, Global Health, Social Medicine and Epidemiology Quality improvement Quality in health care Quality of care Quality of Health Care Questionnaires Reproducibility of Results Sociodemographics Surveys and Questionnaires Validity World Health Organization |
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Title | WHO Standards-based questionnaire to measure health workers’ perspective on the quality of care around the time of childbirth in the WHO European region: development and mixed-methods validation in six countries |
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