1
|
Wang D, Sacks E, Odiase OJ, Kapula N, Sarakki A, Munson E, Afulani PA, Requejo J. A scoping review, mapping, and prioritisation process for emergency obstetric and neonatal quality of care indicators: Focus on provision and experience of care. J Glob Health 2023; 13:04092. [PMID: 37824168 PMCID: PMC10569369 DOI: 10.7189/jogh.13.04092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023] Open
Abstract
Background Globally, approximately 800 women and 6400 newborns die around the time of childbirth each day. Many of these deaths could be prevented with high-quality emergency obstetric and newborn care (EmONC). The Monitoring Emergency Obstetric Care: A handbook guides strengthening EmONC services. However, the handbook contains limited quality of care measures. Our study identified and prioritised quality of care indicators for potential inclusion in the handbook, which is undergoing revision. Methods We conducted a consultative scoping review, mapping, and prioritisation exercise to select a short list of indicators on facility-based maternal and newborn quality of care. Indicators were identified from literature searches and expert suggestions and organised by the categories of structure, process, and outcomes as defined in the World Health Organization's Standards for Improving Quality of Maternal and Newborn Care in Health Facilities. We focused on process indicators, encompassing the provision of care and experience of care during the intrapartum period, and developed a priority list of indicators using the selection criteria of relevance and feasibility. Experience of care indicators were also mapped against the Person-Centered Maternity Care (PCMC) scale. Results We extracted a total of 3023 quality of care indicators. After removing out-of-scope and duplicate indicators and applying our selection criteria, we identified 20 provision of care indicators for possible inclusion in the revised EmONC handbook. We recommend including a score for experience of care that could be measured with the 30-item or the 13-item PCMC scale. We also identified 29 experience of care items not covered by the PCMC scale that could be used. Provider experience, patient safety, and quality of abortion care were identified as areas for which no or few indicators were found through our scoping review. Conclusions Through a rigorous, consultative, and multi-step process, we selected a short list of process-related, facility-based quality of care indicators for emergency obstetric and newborn care. This list could be included in the EmONC handbook or used for other monitoring purposes. Country consultations to assess the utility and feasibility of the proposed indicators and their adaptation to local contexts will support their refinement and uptake. Registration https://osf.io/msxbd (Open Science Framework).
Collapse
Affiliation(s)
- Dee Wang
- Division of Data Analytics, Planning and Monitoring, United Nations Children’s Fund, New York, New York, USA
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Emma Sacks
- Division of Data Analytics, Planning and Monitoring, United Nations Children’s Fund, New York, New York, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Osamuedeme J Odiase
- Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA
| | - Ntemena Kapula
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Alisha Sarakki
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Erica Munson
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Patience A Afulani
- Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Jennifer Requejo
- Division of Data Analytics, Planning and Monitoring, United Nations Children’s Fund, New York, New York, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Revisioning Emergency Obstetric and Newborn Care (EmONC) quality of care workstreamCreangaAndreeaMorganAlisonMoranAllisynMaliqiBlertaWarthinCaitlinKamkongCatherine BreenWalkerDilysMonetJean-PierreHillKathleenBenovaLenkaMuzigabaMoiseDayLouise TinaBaileyPatriciaLobisSamanthaSodzi-TetteySodziDegefie HailegebrielTedbabe
- Division of Data Analytics, Planning and Monitoring, United Nations Children’s Fund, New York, New York, USA
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
- Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
2
|
Deruelle P, Sentilhes L, Ghesquière L, Desbrière R, Ducarme G, Attali L, Jarnoux A, Artzner F, Tranchant A, Schmitz T, Sénat MV. [Expert consensus from the College of French Gynecologists and Obstetricians: Management of nausea and vomiting of pregnancy and hyperemesis gravidarum]. GYNECOLOGIE, OBSTETRIQUE, FERTILITE & SENOLOGIE 2022; 50:700-711. [PMID: 36150647 DOI: 10.1016/j.gofs.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE To determine the management of patients with 1st trimester nausea and vomiting and hyperemesis gravidarum. METHODS A panel of experts participated in a formal consensus process, including focus groups and two Delphi rounds. RESULTS Hyperemesis gravidarum is distinguished from nausea and vomiting during pregnancy by weight loss≥5 % or signs of dehydration or a PUQE score≥7. Hospitalization is proposed when there is, at least, one of the following criteria: weight loss≥10%, one or more clinical signs of dehydration, PUQE (Pregnancy Unique Quantification of Emesis and nausea) score≥13, hypokalemia<3.0mmol/L, hyponatremia<120mmol/L, elevated serum creatinine>100μmol/L or resistance to treatment. Prenatal vitamins and iron supplementation should be stopped without stopping folic acid supplementation. Diet and lifestyle should be adjusted according to symptoms. Aromatherapy is not to be used. If the PUQE score is<6, even in the absence of proof of their benefit, ginger, pyridoxine (B6 vitamin), acupuncture or electrostimulation can be used, even in the absence of proof of benefit. It is proposed that drugs or combinations of drugs associated with the least severe and least frequent side effects should always be chosen for uses in 1st, 2nd or 3rd intention, taking into account the absence of superiority of a class over another to reduce the symptoms of nausea and vomiting of pregnancy and hypermesis gravidarum. To prevent Gayet Wernicke encephalopathy, Vitamin B1 must systematically be administered for hyperemesis gravidarum needing parenteral rehydration. Patients hospitalized for hyperemesis gravidarum should not be placed in isolation (put in the dark, confiscation of the mobile phone or ban on visits, etc.). Psychological support should be offered to all patients with hyperemesis gravidarum as well as information on patient' associations involved in supporting these women and their families. When returning home after hospitalization, care will be organized around a referring doctor. CONCLUSION This work should contribute to improving the care of women with hyperemesis gravidarum. However, given the paucity in number and quality of the literature, researchers must invest in the field of nausea and vomiting in pregnancy, and HG to identify strategies to improve the quality of life of women with nausea and vomiting in pregnancy or hyperemesis gravidarum.
Collapse
Affiliation(s)
- P Deruelle
- UNISTRA, département de gynécologie-obstétrique, hôpitaux universitaires de Strasbourg, 67000 Strasbourg cedex, France.
| | - L Sentilhes
- Department of obstetrics and gynecology, Bordeaux university hospital, Bordeaux, France
| | - L Ghesquière
- ULR 2694 - METRICS - évaluation des technologies de santé et des pratiques médicales, university Lille, CHU Lille, 59000 Lille, France; Department of obstetrics, CHU Lille, 59000 Lille, France
| | | | - G Ducarme
- Service de gynécologie obstétrique, centre hospitalier départemental Vendée, 85000 La Roche-sur-Yon, France
| | - L Attali
- UNISTRA, département de gynécologie-obstétrique, hôpitaux universitaires de Strasbourg, 67000 Strasbourg cedex, France
| | | | - F Artzner
- Association 9mois avec ma bassine, France
| | - A Tranchant
- Association de lutte contre l'hyperémèse gravidique, France
| | - T Schmitz
- Université Paris Cité, 75006 Paris, France; Service de gynécologie obstétrique, hôpital Robert-Debré, Assistance publique-Hôpitaux de Paris, Paris, France
| | - M-V Sénat
- Department of obstetrics and gynecology, Bicêtre hospital, Assistance publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| |
Collapse
|
3
|
Giaxi P, Lykeridoy A, Vivilaki VG. How can we attain enhanced quality assurance of the mode of birth? Eur J Midwifery 2022; 6:53. [PMID: 35974717 PMCID: PMC9348579 DOI: 10.18332/ejm/152157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 07/16/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Paraskevi Giaxi
- Department of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece
| | - Aikaterini Lykeridoy
- Department of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece
| | - Victoria G. Vivilaki
- Department of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece
| |
Collapse
|
4
|
ADAPTE with modified Delphi supported developing a National Clinical Guideline: Stratification of Clinical Risk in Pregnancy. J Clin Epidemiol 2022; 147:21-31. [DOI: 10.1016/j.jclinepi.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/14/2022] [Accepted: 03/14/2022] [Indexed: 11/21/2022]
|
5
|
Monitoring the Dutch Solid Start Program: Developing an Indicator Set for Municipalities to Monitor their First Thousand Days-Approach. Int J Integr Care 2022; 22:8. [PMID: 36381589 PMCID: PMC9615606 DOI: 10.5334/ijic.6508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 10/06/2022] [Indexed: 01/25/2023] Open
Abstract
INTRODUCTION The Dutch Solid Start program aims to improve the collaboration between the medical and social sector to offer every child the best start in life. Municipalities form local coalitions of partners within the medical and social sector to support parents and children during the first thousand days. The aim of this study was to develop an indicator set for coalitions to monitor their local Solid Start program. METHODS A modified Delphi study with three rounds was carried out among Dutch experts in Solid Start practice, policy and research (n = 39) to reach consensus. RESULTS The indicator set included 19 indicators covering the three phases of the Solid Start program: preconception, pregnancy and after birth (up to two years). Prioritized indicators included both social and medical topics, among which poverty, psychological/psychiatric problems, stress, smoking, cumulation of risk factors, preconception care, low literacy, premature birth, and intellectual disability. Additionally, a development agenda was established with topics and indicators that lacked data or clear operationalization (e.g. stress, unintended pregnancy, loneliness). DISCUSSION AND CONCLUSION The developed indicator set enhances the conversation between policymakers, managers, professionals and other stakeholders about the local situation and developments in order to prioritize interventions and policies. Next, the indicator set needs evaluation to assess its usefulness.
Collapse
|
6
|
Cleverley K, McCann E, O’Brien D, Davies J, Bennett K, Brennenstuhl S, Courey L, Henderson J, Jeffs L, Miller J, Pignatiello T, Rong J, Rowland E, Stevens K, Szatmari P. Prioritizing core components of successful transitions from child to adult mental health care: a national Delphi survey with youth, caregivers, and health professionals. Eur Child Adolesc Psychiatry 2022; 31:1739-1752. [PMID: 34089382 PMCID: PMC9666300 DOI: 10.1007/s00787-021-01806-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/15/2021] [Indexed: 02/07/2023]
Abstract
Youth accessing mental health care often experience a disruption in care as they attempt to transition between child and adolescent mental health services (CAMHS) and adult mental health services (AMHS). Few studies have evaluated interventions seeking to improve the experience and outcomes of CAMHS-AMHS transitions, in part due to lack of consensus on what constitutes best practices in intervention success. As such, the aim of this study was to engage patients, caregivers, and clinicians to prioritize core components of successful CAMHS-AMHS transitions which can be used in the design or evaluation of transition interventions. As such, a Delphi study was conducted to determine core components of successful CAMHS-AMHS transitions. Guided by the principles of patient-oriented research, three balanced expert panels consisting of youth, caregivers, and clinicians ranked and provided feedback on the importance and feasibility of core components of CAMHS-AMHS transitions. Components endorsed as feasible or important with ≥ 70% agreement from any panel moved to the next round. As a result, a list of 26 core components of CAMHS-AMHS transitions has been refined which can be used in the design, implementation, or evaluation of interventions intended to improve transition experiences and outcomes for youth in mental health care. Youth and families were engaged in an expert advisory role throughout the research process, contributing their important perspectives to the design and implementation of this study, as well as interpretation of the findings.
Collapse
Affiliation(s)
- Kristin Cleverley
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON, M5T 1P8, Canada. .,Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada. .,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada.
| | - Emma McCann
- grid.17063.330000 0001 2157 2938Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON M5T 1P8 Canada
| | | | - Julia Davies
- grid.17063.330000 0001 2157 2938Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON M5T 1P8 Canada ,grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Kathryn Bennett
- grid.25073.330000 0004 1936 8227Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Sarah Brennenstuhl
- grid.17063.330000 0001 2157 2938Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON M5T 1P8 Canada
| | - Lynn Courey
- grid.491040.8Sashbear Foundation, Toronto, Canada
| | - Joanna Henderson
- grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Lianne Jeffs
- grid.17063.330000 0001 2157 2938Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON M5T 1P8 Canada ,grid.250674.20000 0004 0626 6184Lunenfeld-Tanenbaum Research Institute, Sinai Health, System, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada ,grid.415502.7Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Canada
| | - Joshua Miller
- grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada ,grid.17063.330000 0001 2157 2938Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Canada
| | - Tony Pignatiello
- grid.17063.330000 0001 2157 2938Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada ,grid.42327.300000 0004 0473 9646Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada
| | - Jessica Rong
- grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Emily Rowland
- grid.17063.330000 0001 2157 2938Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Suite 130, Toronto, ON M5T 1P8 Canada
| | - Katye Stevens
- grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Peter Szatmari
- grid.155956.b0000 0000 8793 5925Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada ,grid.42327.300000 0004 0473 9646Centre for Brain and Mental Health and Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada ,grid.155956.b0000 0000 8793 5925The Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Toronto, Canada
| |
Collapse
|
7
|
Rich R, D'Hont T, Murphy KE, Veillard J, Chatwood S. Selecting contextually appropriate performance indicators in a circumpolar context: a modified Delphi approach. BMC Health Serv Res 2021; 21:530. [PMID: 34053444 PMCID: PMC8166122 DOI: 10.1186/s12913-021-06485-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 05/06/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Meaningful performance measurement requires indicators to be scientifically robust and strategically focused. For many circumpolar states, indicators aligned with national strategies may ignore the priorities of northern, remote, or Indigenous populations. The aim of this project was to identify contextually appropriate performance indicators for maternity care in circumpolar regions. METHODS Fourteen maternity care and health systems experts participated in a modified Delphi consensus process. The list of proposed indicators was derived from a previously published scoping review. Fourteen participants rated each proposed indicator according to importance, circumpolar relevance, validity, and reliability and suggested additional indicators for consideration. RESULTS Consensus was achieved after two rounds, as measured by a Cronbach's alpha of 0.87. Eleven indicators, many of which represented physical health outcomes, were ranked highly on all four criteria. Twenty-nine additional indicators, largely focused on social determinants of health, health care responsiveness, and accessibility, were identified for further research. Travel for care, cultural safety and upstream structural determinants of health were identified as important themes. CONCLUSIONS This study identified the important gaps between current performance measurement strategies and the context and values that permeate maternal-child health in circumpolar regions. The indicators identified in this study provide an important foundation for ongoing work. We recommend that future work encompass an appreciation for the intersectoral nature of social, structural, and colonial determinants of maternal-child health in circumpolar regions.
Collapse
Affiliation(s)
- Rebecca Rich
- Department of Obstetrics & Gynaecology, University of Alberta, Royal Alexandra Hospital, 5S Robbins Pavilion, 10240 Kingsway Avenue, Edmonton, AB, T5H 3V9, Canada.
| | - Thomsen D'Hont
- Department of Family Medicine, University of Alberta, Suite 205 College Plaza 8215 - 112 St, Edmonton, AB, T6G 2C8, Canada
| | - Kellie E Murphy
- Division of Maternal Fetal Medicine, Obstetrics & Gynaecology, University of Toronto, Mount Sinai Hospital, Room 3-918, 700 University Avenue, Toronto, ON, M5G 1Z5, Canada
| | - Jeremy Veillard
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada
| | - Susan Chatwood
- School of Public Health, University of Alberta, 3-279 Edmonton Clinic Health Academy, 11405 - 87 Ave NW, Edmonton, AB, T6G 1C9, Canada
| |
Collapse
|
8
|
Erondu NA, Rahman-Shepherd A, Khan MS, Abate E, Agogo E, Belfroid E, Dar O, Fehr A, Hollmann L, Ihekweazu C, Ikram A, Iversen BG, Mirkuzie AH, Rathore TR, Squires N, Okereke E. Improving National Intelligence for Public Health Preparedness: a methodological approach to finding local multi-sector indicators for health security. BMJ Glob Health 2021; 6:bmjgh-2020-004227. [PMID: 33495285 PMCID: PMC7839902 DOI: 10.1136/bmjgh-2020-004227] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/18/2020] [Accepted: 12/23/2020] [Indexed: 12/16/2022] Open
Abstract
The COVID-19 epidemic is the latest evidence of critical gaps in our collective ability to monitor country-level preparedness for health emergencies. The global frameworks that exist to strengthen core public health capacities lack coverage of several preparedness domains and do not provide mechanisms to interface with local intelligence. We designed and piloted a process, in collaboration with three National Public Health Institutes (NPHIs) in Ethiopia, Nigeria and Pakistan, to identify potential preparedness indicators that exist in a myriad of frameworks and tools in varying local institutions. Following a desk-based systematic search and expert consultations, indicators were extracted from existing national and subnational health security-relevant frameworks and prioritised in a multi-stakeholder two-round Delphi process. Eighty-six indicators in Ethiopia, 87 indicators in Nigeria and 51 indicators in Pakistan were assessed to be valid, relevant and feasible. From these, 14–16 indicators were prioritised in each of the three countries for consideration in monitoring and evaluation tools. Priority indicators consistently included private sector metrics, subnational capacities, availability and capacity for electronic surveillance, measures of timeliness for routine reporting, data quality scores and data related to internally displaced persons and returnees. NPHIs play an increasingly central role in health security and must have access to data needed to identify and respond rapidly to public health threats. Collecting and collating local sources of information may prove essential to addressing gaps; it is a necessary step towards improving preparedness and strengthening international health regulations compliance.
Collapse
Affiliation(s)
| | | | - Mishal S Khan
- London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK
| | - Ebba Abate
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Evelien Belfroid
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | | | | | | | | - Aamer Ikram
- Pakistan National Institute of Health, Islamabad, Pakistan
| | | | | | | | - Neil Squires
- Global Public Health, Public Health England, London, UK
| | - Ebere Okereke
- International Health Regulations Strengthening Project, Public Health England, London, UK
| |
Collapse
|
9
|
Schmitz T, Senat MV, Sentilhes L, Azria É, Deneux-Tharaux C, Huchon C, Bourdel N, Fritel X, Fauconnier A. [CNGOF Guidelines for Clinical Practice: Revision of the Methodology]. ACTA ACUST UNITED AC 2019; 48:3-11. [PMID: 31678506 DOI: 10.1016/j.gofs.2019.10.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To revise the organization and the methodology of the Practice Clinical Guidelines (PCG) of the French College of Gynecologists and Obstetricians (CNGOF). METHODS The different available methods of PCG organization and of scientific evidence grading have been consulted after searching in the Medline database. RESULTS The PCG group of the CNGOF has decided to adopt the AGREE II (for Appraisal of Guidelines for REsearch and Evaluation) methology for PCG organization and the GRADE (for Grading of Recommendation Assessment, Development, and Evaluation) system for grading scientific evidence. CONCLUSION By adopting the AGREE II consortium criteria and grading scientific evidence according to the GRADE system, the CNGOF will increase the quality of the overall process, will deliver more targeted and easy to assimilate recommendations, to facilitate professional decision making.
Collapse
Affiliation(s)
- T Schmitz
- Service de gynécologie-obstétrique, hôpital Robert-Debré, AP-HP, 48, boulevard Sérurier, 75019 Paris, France; Epidemiology and Statistics Research Center/CRESS, Inserm, Inra, université de Paris, 75004 Paris, France.
| | - M-V Senat
- Service de gynécologie-obstétrique, hôpital Bicêtre, AP-HP, 78, avenue du Général-Leclerc, 94270 Le Kremlin-Bicêtre, France; Inserm, université Paris-Saclay, University Paris-Sud, UVSQ, Centre de recherche en épidémiologie et santé des populations, hôpital Paul-Brousse, 16, avenue Paul-Vaillant-Couturier, 94076 Villejuif, France
| | - L Sentilhes
- Service de gynécologie-obstétrique, centre hospitalier universitaire de Bordeaux, hôpital Pellegrin, place Amélie-Raba-Léon, 33076 Bordeaux, France
| | - É Azria
- Epidemiology and Statistics Research Center/CRESS, Inserm, Inra, université de Paris, 75004 Paris, France; Maternité Notre-Dame-de-Bon-Secours, groupe hospitalier Paris Saint-Joseph, DHU risques et grossesse, 185, rue Raymond-Losserad, 75014 Paris, France
| | - C Deneux-Tharaux
- Epidemiology and Statistics Research Center/CRESS, Inserm, Inra, université de Paris, 75004 Paris, France
| | - C Huchon
- Service de gynécologie-obstétrique, CHI Poissy-St-Germain, 10, rue du Champ-Gaillard, 78300 Poissy, France; Unité de recherche EA 7285 (RISCQ), université Versailles St-Quentin (UVSQ), 78180 Montigny-le-Bretonneux, France
| | - N Bourdel
- Service de gynécologie-obstétrique, CHU Estaing, CHU Clermont-Ferrand, 1, place Lucie-et-Raymond-Aubrac, 63003 Clermont-Ferrand, France
| | - X Fritel
- CIC 1402 Inserm, université de Poitiers, CHU de Poitiers, 2, rue de la Milétrie, 86021 Poitiers, France
| | - A Fauconnier
- Service de gynécologie-obstétrique, CHI Poissy-St-Germain, 10, rue du Champ-Gaillard, 78300 Poissy, France; Unité de recherche EA 7285 (RISCQ), université Versailles St-Quentin (UVSQ), 78180 Montigny-le-Bretonneux, France
| |
Collapse
|
10
|
Sauvegrain P, Chantry AA, Chiesa-Dubruille C, Keita H, Goffinet F, Deneux-Tharaux C. Monitoring quality of obstetric care from hospital discharge databases: A Delphi survey to propose a new set of indicators based on maternal health outcomes. PLoS One 2019; 14:e0211955. [PMID: 30753232 PMCID: PMC6372226 DOI: 10.1371/journal.pone.0211955] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/24/2019] [Indexed: 11/30/2022] Open
Abstract
Objectives Most indicators proposed for assessing quality of care in obstetrics are process indicators and do not directly measure health effects, and cannot always be identified from routinely available databases. Our objective was to propose a set of indicators to assess the quality of hospital obstetric care from maternal morbidity outcomes identifiable in permanent hospital discharge databases. Methods Various maternal morbidity outcomes potentially reflecting quality of obstetric care were first selected from a systematic literature review. Then a three-round Delphi consensus survey was conducted online from 11/2016 through 02/2017 among a French panel of 37 expert obstetricians, anesthetists-critical-care specialists, midwives, quality-of-care researchers, and user representatives. For a given maternal outcome, several definitions could be proposed and the indicator (i.e. corresponding rate) could be applied to all women or restricted to specific subgroup(s). Results Of the 49 experts invited to participate, 37 agreed. The response rate was 92% in the second round and 97% in the third. Finally, a set of 13 indicators was selected to assess the quality of hospital obstetric care: rates of uterine rupture, postpartum hemorrhage, transfusion incident, severe perineal lacerations, episiotomy, cesarean, cesarean under general anesthesia, post-cesarean site infection, anesthesia-related complications, postpartum pulmonary embolism, maternal readmission and maternal mortality. Six were considered in specific subgroups, with, for example, the postpartum hemorrhage rate assessed among all women and also among women at low risk of PPH. Implications This Delphi process enabled us to define consensually a set of indicators to assess the quality of hospital obstetrics care from routine hospital data, based on maternal morbidity outcomes. Considering 6 of them in specific subgroups of women is especially interesting. These indicators, identifiable through codes used in international classifications, will be useful to monitor quality of care over time and across settings.
Collapse
Affiliation(s)
- Priscille Sauvegrain
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- Department of Obstetrics and Gynecology, AP-HP Pitié-Salpêtrière, Paris, France
- * E-mail:
| | - Anne Alice Chantry
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- School of Midwives, Baudelocque, AP-HP, University of Paris Descartes, DHU Risks in Pregnancy, Paris, France
| | - Coralie Chiesa-Dubruille
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
| | - Hawa Keita
- Department of Anesthesia and reanimation, AP-HP Louis Mourier, DHU Risks in Pregnancy, Colombes, France
- Paris Diderot university, Sorbonne Paris Cité, EA 7334 Recherche Clinique coordonnée ville-hôpital, Méthodologies et Société (REMES), Paris, France
| | - François Goffinet
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- Department of Obstetrics and Gynecology, AP-HP Cochin-Port Royal, DHU Risks in Pregnancy, Paris, France
| | - Catherine Deneux-Tharaux
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
| |
Collapse
|
11
|
Wiles LK, Hooper TD, Hibbert PD, Molloy C, White L, Jaffe A, Cowell CT, Harris MF, Runciman WB, Schmiede A, Dalton C, Hallahan AR, Dalton S, Williams H, Wheaton G, Murphy E, Braithwaite J. Clinical indicators for common paediatric conditions: Processes, provenance and products of the CareTrack Kids study. PLoS One 2019; 14:e0209637. [PMID: 30625190 PMCID: PMC6326465 DOI: 10.1371/journal.pone.0209637] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 12/10/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND In order to determine the extent to which care delivered to children is appropriate (in line with evidence-based care and/or clinical practice guidelines (CPGs)) in Australia, we developed a set of clinical indicators for 21 common paediatric medical conditions for use across a range of primary, secondary and tertiary healthcare practice facilities. METHODS Clinical indicators were extracted from recommendations found through systematic searches of national and international guidelines, and formatted with explicit criteria for inclusion, exclusion, time frame and setting. Experts reviewed the indicators using a multi-round modified Delphi process and collaborative online wiki to develop consensus on what constituted appropriate care. RESULTS From 121 clinical practice guidelines, 1098 recommendations were used to draft 451 proposed appropriateness indicators. In total, 61 experts (n = 24 internal reviewers, n = 37 external reviewers) reviewed these indicators over 40 weeks. A final set of 234 indicators resulted, from which 597 indicator items were derived suitable for medical record audit. Most indicator items were geared towards capturing information about under-use in healthcare (n = 551, 92%) across emergency department (n = 457, 77%), hospital (n = 450, 75%) and general practice (n = 434, 73%) healthcare facilities, and based on consensus level recommendations (n = 451, 76%). The main reason for rejecting indicators was 'feasibility' (likely to be able to be used for determining compliance with 'appropriate care' from medical record audit). CONCLUSION A set of indicators was developed for the appropriateness of care for 21 paediatric conditions. We describe the processes (methods), provenance (origins and evolution of indicators) and products (indicator characteristics) of creating clinical indicators within the context of Australian healthcare settings. Developing consensus on clinical appropriateness indicators using a Delphi approach and collaborative online wiki has methodological utility. The final indicator set can be used by clinicians and organisations to measure and reflect on their own practice.
Collapse
Affiliation(s)
- Louise K. Wiles
- Australian Centre for Precision Health, School of Health Sciences, Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Tamara D. Hooper
- Australian Centre for Precision Health, School of Health Sciences, Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Peter D. Hibbert
- Australian Centre for Precision Health, School of Health Sciences, Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- Australian Patient Safety Foundation, Adelaide, South Australia, Australia
- Centre for Health Informatics, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Charlotte Molloy
- Australian Centre for Precision Health, School of Health Sciences, Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Les White
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- Discipline of Paediatrics, School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales, Australia
- Sydney Children’s Hospital, Sydney Children’s Hospitals Network, Randwick, Sydney, New South Wales, Australia
- New South Wales Ministry of Health, North Sydney, Sydney, New South Wales, Australia
| | - Adam Jaffe
- Discipline of Paediatrics, School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Respiratory Medicine, Sydney Children’s Hospital, Sydney Children’s Hospitals Network, Randwick, Sydney, New South Wales, Australia
| | - Christopher T. Cowell
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
- Institute of Endocrinology and Diabetes, Children’s Hospital at Westmead, Sydney Children’s Hospitals Network, Westmead, Sydney, New South Wales, Australia
| | - Mark F. Harris
- Centre for Primary Health Care and Equity, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - William B. Runciman
- Australian Centre for Precision Health, School of Health Sciences, Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
- Australian Patient Safety Foundation, Adelaide, South Australia, Australia
| | - Annette Schmiede
- BUPA Health Foundation Australia, Sydney, New South Wales, Australia
| | - Chris Dalton
- BUPA Health Foundation Australia, Sydney, New South Wales, Australia
| | - Andrew R. Hallahan
- Children’s Health Queensland Hospital and Health Service, South Brisbane, Brisbane, Queensland, Australia
| | - Sarah Dalton
- New South Wales Ministry of Health, North Sydney, Sydney, New South Wales, Australia
- New South Wales (NSW) Agency for Clinical Innovation (ACI), Chatswood, Sydney, New South Wales, Australia
| | - Helena Williams
- Russell Clinic, Blackwood, Adelaide, South Australia, Australia
- Australian Commission on Safety and Quality in Health Care, Sydney, New South Wales, Australia
- Southern Adelaide Local Health Network, Bedford Park, Adelaide, South Australia, Australia
- Cancer Australia, Surry Hills, Sydney, New South Wales, Australia
- Adelaide Primary Health Network, Mile End, Adelaide, South Australia, Australia
- Country SA Primary Health Network, Nuriootpa, Adelaide, South Australia, Australia
| | - Gavin Wheaton
- Division of Paediatric Medicine, Women’s and Children’s Health Network, Adelaide, South Australia, Australia
| | - Elisabeth Murphy
- New South Wales Ministry of Health, North Sydney, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
| |
Collapse
|
12
|
Abstract
OBJECTIVE All healthcare systems require valid ways to evaluate service delivery. The objective of this study was to identify existing content validated quality indicators (QIs) for responsible use of medicines (RUM) and classify them using multiple frameworks to identify gaps in current quality measurements. DESIGN Systematic review without meta-analysis. SETTING All care settings. SEARCH STRATEGY CINAHL, Embase, Global Health, International Pharmaceutical Abstract, MEDLINE, PubMed and Web of Science databases were searched up to April 2018. An internet search was also conducted. Articles were included if they described medication-related QIs developed using consensus methods. Government agency websites listing QIs for RUM were also included. ANALYSIS Several multidimensional frameworks were selected to assess the scope of QI coverage. These included Donabedian's framework (structure, process and outcome), the Anatomical Therapeutic Chemical (ATC) classification system and a validated classification for causes of drug-related problems (c-DRPs; drug selection, drug form, dose selection, treatment duration, drug use process, logistics, monitoring, adverse drug reactions and others). RESULTS 2431 content validated QIs were identified from 131 articles and 5 websites. Using Donabedian's framework, the majority of QIs were process indicators. Based on the ATC code, the largest number of QIs pertained to medicines for nervous system (ATC code: N), followed by anti-infectives for systemic use (J) and cardiovascular system (C). The most common c-DRPs pertained to 'drug selection', followed by 'monitoring' and 'drug use process'. CONCLUSIONS This study was the first systematic review classifying QIs for RUM using multiple frameworks. The list of the identified QIs can be used as a database for evaluating the achievement of RUM. Although many QIs were identified, this approach allowed for the identification of gaps in quality measurement of RUM. In order to more effectively evaluate the extent to which RUM has been achieved, further development of QIs may be required.
Collapse
Affiliation(s)
- Kenji Fujita
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Rebekah J Moles
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Timothy F Chen
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
13
|
Ueda K, Ohtera S, Kaso M, Nakayama T. Development of quality indicators for low-risk labor care provided by midwives using a RAND-modified Delphi method. BMC Pregnancy Childbirth 2017; 17:315. [PMID: 28938879 PMCID: PMC5610460 DOI: 10.1186/s12884-017-1468-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Accepted: 08/23/2017] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In childbirth, most deliveries are low-risk, defined as spontaneous labor at full term without special high-risk facts or complications, especially in high-resource countries where maternal and perinatal mortality rates are very low. Indeed, the majority of mothers and infants have no serious conditions during labor. However, the quality of care provided is not assured, and performance may vary by birthing facility and provider. The overuse of technology in childbirth in some parts of the world is almost certainly based on assumptions like, "something can go wrong at any minute." There is a need to assess the quality of care provided for mothers and infants in low-risk labor. We aimed to develop specific quality indicators for low-risk labor care provided primarily by midwives in Japan. METHODS We used a RAND-modified Delphi method, which integrates evidence review with expert consensus development. The procedure comprises five steps: (1) literature review, including clinical practice guidelines, to extract and develop quality indicator candidates; (2) formation of a multidisciplinary panel; (3) independent panel ratings (Round 1); (4) panel meeting and independent panel ratings (Round 2); and (5) independent panel ratings (Round 3). The three independent panel ratings (Rounds 1-3) were held between July and December 2012. RESULTS The assembled multidisciplinary panel comprised eight clinicians (two pediatricians, three obstetricians, and three midwives) and three mothers who were nonclinicians. Evidentiary review extracted 166 key recommendations from 32 clinical practice guidelines, and 31 existing quality indicators were added. After excluding duplicate recommendations and quality indicators, the panel discussed 25 candidate indicators. Of these, 18 were adopted, one was modified, six were not adopted, and four were added during the meeting, respectively. CONCLUSIONS We established 23 quality indicators for low-risk labor care provided by midwives in labor units in Japan.
Collapse
Affiliation(s)
- Kayo Ueda
- Department of Health Informatics in the School of Public Health, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501 Japan
- School of Nursing, Faculty of Health Sciences, Morinomiya University of Medical Sciences, 1-26-16 Nankokita, Suminoe-ku, Osaka, 559-8611 Japan
| | - Shosuke Ohtera
- Department of Health Informatics in the School of Public Health, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501 Japan
| | - Misato Kaso
- Department of Health Informatics in the School of Public Health, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501 Japan
| | - Takeo Nakayama
- Department of Health Informatics in the School of Public Health, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501 Japan
| |
Collapse
|
14
|
Abstract
Growing attention is being paid to obstetric quality of care as patients are pressing the health care system to measure and improve quality. There is also an increasing recognition of persistent racial and ethnic disparities prevalent in obstetric outcomes. Yet few studies have linked obstetric quality of care with racial and ethnic disparities. This article reviews definitions of quality of care, health disparities, and health equity as they relate to obstetric care and outcomes; describes current efforts and challenges in obstetric quality measurement; and proposes 3 steps in an effort to develop, track, and improve quality and reduce disparities in obstetrics.
Collapse
Affiliation(s)
- Elizabeth A Howell
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA.
| | - Jennifer Zeitlin
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Biostatistics Sorbonne Paris Cité, DHU Risks in Pregnancy, Paris Descartes University, Maternité Port Royal, 53 avenue de l'Observatoire, Paris 75014, France
| |
Collapse
|
15
|
Escuriet R, White J, Beeckman K, Frith L, Leon-Larios F, Loytved C, Luyben A, Sinclair M, van Teijlingen E. Assessing the performance of maternity care in Europe: a critical exploration of tools and indicators. BMC Health Serv Res 2015; 15:491. [PMID: 26525577 PMCID: PMC4631101 DOI: 10.1186/s12913-015-1151-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 10/22/2015] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND This paper critically reviews published tools and indicators currently used to measure maternity care performance within Europe, focusing particularly on whether and how current approaches enable systematic appraisal of processes of minimal (or non-) intervention in support of physiological or "normal birth". The work formed part of COST Actions IS0907: "Childbirth Cultures, Concerns, and Consequences: Creating a dynamic EU framework for optimal maternity care" (2011-2014) and IS1405: Building Intrapartum Research Through Health - an interdisciplinary whole system approach to understanding and contextualising physiological labour and birth (BIRTH) (2014-). The Actions included the sharing of country experiences with the aim of promoting salutogenic approaches to maternity care. METHODS A structured literature search was conducted of material published between 2005 and 2013, incorporating research databases, published documents in english in peer-reviewed international journals and indicator databases which measured aspects of health care at a national and pan-national level. Given its emergence from two COST Actions the work, inevitably, focused on Europe, but findings may be relevant to other countries and regions. RESULTS A total of 388 indicators were identified, as well as seven tools specifically designed for capturing aspects of maternity care. Intrapartum care was the most frequently measured feature, through the application of process and outcome indicators. Postnatal and neonatal care of mother and baby were the least appraised areas. An over-riding focus on the quantification of technical intervention and adverse or undesirable outcomes was identified. Vaginal birth (no instruments) was occasionally cited as an indicator; besides this measurement few of the 388 indicators were found to be assessing non-intervention or "good" or positive outcomes more generally. CONCLUSIONS The tools and indicators identified largely enable measurement of technical interventions and undesirable health (or pathological medical) outcomes. A physiological birth generally necessitates few, or no, interventions, yet most of the indicators presently applied fail to capture (a) this phenomenon, and (b) the relationship between different forms and processes of care, mode of birth and good or positive outcomes. A need was identified for indicators which capture non-intervention, reflecting the reality that most births are low-risk, requiring few, if any, technical medical procedures.
Collapse
Affiliation(s)
- Ramón Escuriet
- Directorate-General for Health Planning and Research, Ministry of Health of the Government of Catalonia, Barcelona, Spain.
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
| | - Joanna White
- Centre for Research in Anthropology/Centro em Rede de Investigação em Antropologia (CRIA-IUL, Lisbon, Portugal.
- Department of Health and Social Sciences, University of the West of England, Bristol, UK.
| | - Katrien Beeckman
- Nursing and Midwifery research unit, University hospital Brussels, Vrije universiteit Brussel, Brussel, Belgium.
| | - Lucy Frith
- Department of Health Services Research, The University of Liverpool, Liverpool, UK.
| | - Fatima Leon-Larios
- Departamento de Enfermería. Facultad de Enfermería, Fisioterapia y Podología, Universidad de Sevilla, Sevilla, Spain.
| | - Christine Loytved
- Zurich University of Applied Sciences, School of Health Professions, Institute of Midwifery, Zurich, Switzerland.
| | - Ans Luyben
- Women's Clinic, Spital STS AG, Thun, Switzerland.
| | - Marlene Sinclair
- Maternal Fetal and Infant Research Centre, University of Ulster, Coleraine, UK.
| | - Edwin van Teijlingen
- Centre for Midwifery, Maternal & Perinatal Health Bournemouth University, Bournemouth, UK.
| |
Collapse
|
16
|
Collins KJ, Draycott T. Measuring quality of maternity care. Best Pract Res Clin Obstet Gynaecol 2015; 29:1132-8. [PMID: 25913563 DOI: 10.1016/j.bpobgyn.2015.03.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Revised: 03/20/2015] [Accepted: 03/23/2015] [Indexed: 10/23/2022]
Abstract
Health-care organisations are required to monitor and measure the quality of their maternity services, but measuring quality is complex, and no universal consensus exists on how best to measure it. Clinical outcomes and process measures that are important to stakeholders should be measured, ideally in standardised sets for benchmarking. Furthermore, a holistic interpretation of quality should also reflect patient experience, ideally integrated with outcome and process measures, into a balanced suite of quality indicators. Dashboards enable reporting of trends in adverse outcomes to stakeholders, staff and patients, and they facilitate targeted quality improvement initiatives. The value of such dashboards is dependent upon high-quality, routinely collected data, subject to robust statistical analysis. Moving forward, we could and should collect a standard, relevant set of quality indicators, from routinely collected data, and present these in a manner that facilitates ongoing quality improvement, both locally and at regional/national levels.
Collapse
Affiliation(s)
- Katherine J Collins
- Department of Women's Health, The Chilterns, Southmead Hospital, Bristol, BS10 5NB, UK.
| | - Timothy Draycott
- Department of Women's Health, The Chilterns, Southmead Hospital, Bristol, BS10 5NB, UK.
| |
Collapse
|
17
|
Quality indicator development and implementation in maternity units. Best Pract Res Clin Obstet Gynaecol 2013; 27:609-19. [DOI: 10.1016/j.bpobgyn.2013.04.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Accepted: 04/02/2013] [Indexed: 11/23/2022]
|