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      Development and evaluation of the psychometric properties of a digital questionnaire for the self-management of health and well-being in the postpartum period

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          Abstract

          Background

          Despite the fact that the Global Strategy for Women’s, Children’s and Adolescents’ Health (2016–2030) recognises the special importance of care for women during the postpartum period, thus highlighting the need to identify and measure any condition that may affect the welfare of pregnant women in any way, this is one of the most neglected stages in the health system. Given the absence in our area of global, efficient instruments, the objective of this study was to design a complete, specific measurement tool with good metric qualities in digital format for the evaluation of self-reported health and well-being during the puerperium, to conform to what was proposed by the ICHOM.

          Methods

          A cross-sectional study was carried out to evaluate the psychometric characteristics of a digital measurement tool. The development of the tool was carried out in 4 steps, following the recommendations of the International Test Commission. It was tested on 280 puerperas attending primary healthcare appointments in the Basque Healthcare System (Osakidetza), and they did the newly created survey, answering all the questions that had been selected as the gold standard. The average age of the women was 34.93 (SD = 4.80). The analysis of the psychometric characteristics was based on mixed procedures of expert judgment (a focus group of healthcare professionals, an item evaluation questionnaire and interviews with users) and quantitative evaluations (EFA, CFA, and correlation with gold standard, ordinal alpha and McDonald’s omega).

          Results

          The final version of the tool comprised 99 items that evaluate functional state, incontinence, sexuality, breastfeeding, adaptation to the role of mother and mental health, and all of these questions can be used globally or partially. It was found that the scores were valid and reliable, which gives metric guarantees for using the tool in our area.

          Conclusions

          The use of this comprehensive concise tool with good psychometric properties will allow women to take stock of their situation, assess if they have the necessary resources, in psychological and social terms, and work together with midwives and other healthcare professionals on the most deficient areas.

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          Most cited references55

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study

            Background Aim of the COSMIN study (COnsensus-based Standards for the selection of health status Measurement INstruments) was to develop a consensus-based checklist to evaluate the methodological quality of studies on measurement properties. We present the COSMIN checklist and the agreement of the panel on the items of the checklist. Methods A four-round Delphi study was performed with international experts (psychologists, epidemiologists, statisticians and clinicians). Of the 91 invited experts, 57 agreed to participate (63%). Panel members were asked to rate their (dis)agreement with each proposal on a five-point scale. Consensus was considered to be reached when at least 67% of the panel members indicated ‘agree’ or ‘strongly agree’. Results Consensus was reached on the inclusion of the following measurement properties: internal consistency, reliability, measurement error, content validity (including face validity), construct validity (including structural validity, hypotheses testing and cross-cultural validity), criterion validity, responsiveness, and interpretability. The latter was not considered a measurement property. The panel also reached consensus on how these properties should be assessed. Conclusions The resulting COSMIN checklist could be useful when selecting a measurement instrument, peer-reviewing a manuscript, designing or reporting a study on measurement properties, or for educational purposes.
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              Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General

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                Author and article information

                Contributors
                Paola.bully01@gmail.com
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                25 August 2023
                25 August 2023
                2023
                : 23
                : 610
                Affiliations
                [1 ]GRID grid.11480.3c, ISNI 0000000121671098, University of the Basque Country, ; Barrio Sarriena, S/N, 48940 Leioa, Spain
                [2 ]Paola Bully Methodological and Statistical Consultant, C/ Barrio La Sota, Sopuerta, 48190 Spain
                [3 ]GRID grid.452310.1, Osakidetza-Basque Health Service, Biocruces-Bizkaia Health Research Institute, ; C/ Edificio Biocruces 3. Plaza De Cruces, 48903 Barakaldo, Spain
                [4 ]Primary Care Midwife Zuazo Health Centre, Osi Barakaldo-Sestao-Osakidetza, C/ Lurkizaga Kalea, S/N, 48902 Barakaldo, Spain
                [5 ]GRID grid.11480.3c, ISNI 0000000121671098, School of Nursing, , University of the Basque Country, ; C/ Barrio Sarriena S/N, Leioa, 48940 Spain
                [6 ]GRID grid.414269.c, ISNI 0000 0001 0667 6181, Midwifery Training Unit of the Basque Country, , Hospital de Basurto-Osakidetza, ; C/ Montevideo Etorbidea 18, Bilbao, 48013 Spain
                [7 ]Primary Care Midwife Markonzaga Health Centre, OSI Barakaldo-Sestao-Osakidetza, C/ Antonio Trueba Kalea, 17, Sestao, 48910 Spain
                Article
                5899
                10.1186/s12884-023-05899-6
                10463739
                37626320
                3c23dfe6-a0bf-4cf8-9293-b78d18334bbe
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 April 2023
                : 4 August 2023
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Obstetrics & Gynecology
                puerperium,biopsychosocial needs,web tool screening,psychometric properties

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