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BACKGROUND: For health services to help people plan for or prevent pregnancy, health professionals need an acceptable way to identify individuals' preferences. OBJECTIVE: To assess women's views on the acceptability of specific questions about pregnancy preferences when asked by health professionals in a variety of primary care contexts. METHODS: One-to-one in-depth interviews with 13 women aged 18-48 from across the UK, involving role-play scenarios and ranking exercises. Interviews covered a range of settings and health professionals, different question wording, and ways of asking (in person or digitally). We conducted a thematic Framework Analysis, focussing on themes relating to feelings and preferences. RESULTS: Women were generally open to being asked about pregnancy preferences if they understood the rationale, it was asked in a relevant context, such as in women's health-related consultations, and there was follow-up. After signposting, an open question, such as 'How would you feel about having a baby in the next year?' was preferred in a face-to-face context as it enabled discussion. While some women valued a face-to-face discussion with a health professional, for others the privacy and convenience of a digital option was preferred; methods should be tailored to the target population. CONCLUSION: Discussion of pregnancy preferences via a range of formats is acceptable to, and valued by, women in the UK across a range of primary care settings. Acceptability to health professionals and feasibility of implementation needs further exploration and would benefit from greater public awareness of the benefits of pregnancy planning.
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Intenção , Saúde da Mulher , Gravidez , Feminino , Humanos , Pesquisa Qualitativa , Emoções , Atenção Primária à SaúdeRESUMO
BACKGROUND: Knowing people's pregnancy intentions would help health care professionals (HCPs) to take a holistic approach to reproductive health, and particularly to providing preconception care. AIM: To assess the feasibility of implementation of questions about pregnancy preferences in a range of primary care settings in Great Britain, including digital implementation. DESIGN & SETTING: Qualitative study using online semi-structured interviews with primary care professionals across Great Britain in 2022. METHOD: Twelve online interviews were conducted with GPs (n=3), practice nurses (n=3), sexual and reproductive health professionals (n=4) and health visitors (n=2). Framework analysis was conducted in Nvivo, adapting a coding frame from complementary interviews with women. RESULTS: HCPs perceived asking about pregnancy preferences as valuable in meeting patients' reproductive health needs and most suited to women's health consultations, medication and disease reviews, baby checks, or as an addition to lifestyle questions leading to health promotion advice. An introductory, non-discriminatory signposting sentence was well-liked, and the preferred question in a face-to-face clinical encounter was asking how the person would feel about a pregnancy in the next year, in line with women's preference. Guidance and training would give clinicians confidence in knowing how to ask about pregnancy preferences and advise their patients accordingly. CONCLUSION: Asking about pregnancy intentions is acceptable to women and HCPs and feasible in primary care, but implementation needs to be adapted to the patient and context. Digital options that enable patients to self-manage can reduce the need for HCP input and avoid medicalising a normal process.
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INTRODUCTION: Unplanned pregnancies are associated with increased risks. Despite this, they are currently not routinely detected during antenatal care. This study evaluates the implementation of the London Measure of Unplanned Pregnancy (LMUP) - a validated measure of pregnancy planning - into antenatal care at University College London Hospital, Homerton Hospital, and St Thomas' Hospital, England, 2019-2023. METHODS: We conducted a mixed methods evaluation of the pilot. Uptake and acceptability were measured using anonymized data with non-completion of the LMUP as a proxy measure of acceptability overall. We conducted focus groups with midwives, and one-to-one interviews with women, to explore their thoughts of asking, or being asked the LMUP, which we analyzed with a Framework Analysis. RESULTS: Asking the LMUP at antenatal appointments is feasible and acceptable to women and midwives, and the LMUP performed as expected. Advantages of asking the LMUP, highlighted by participants, include providing additional support and personalizing care. Midwives' concerns about judgment were unsubstantiated; women with unplanned pregnancies valued such discussions. CONCLUSIONS: These findings support the implementation of the LMUP in routine antenatal care and show how it can provide valuable insights into the circumstances of women's pregnancies. This can be used to help midwives personalize care, and potentially reduce adverse outcomes and subsequent unplanned pregnancy. Integration of the LMUP into the Maternity Services Data Set will establish national data collection of a validated measure of unplanned pregnancy and enable analysis of the prevalence, factors, and implications of unplanned pregnancies across subpopulations and over time to inform implementation.
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OBJECTIVE: We assessed contraceptive use changes during the second lockdown due to COVID-19 in Brazil and their associated factors. STUDY DESIGN: This was a longitudinal web-based study in which 725 non-pregnant Brazilian women aged 18 to 49 completed an online structured survey about their contraceptive practices in two rounds in 2021. Multivariate multinomial logistic regression was used to analyze factors associated with contraceptive use changes during COVID-19. RESULTS: Sixty percent reported they changed their contraceptive use during COVID-19, especially starting to use a method or switching to a more effective one (32%). In adjusted analysis, women who were ambivalent about a future pregnancy were more likely to switch to a more effective method (adjusted odds ratio [aOR] 2.33, 95% CI 1.42-3.83) and to stop using contraceptive (aOR 3.64, 95% CI 1.91-6.91). Women with a partner were less likely to switch to a more effective method (aOR 0.61, 95% CI 0.39-0.93) and to stop using contraceptive (aOR 0.53, 95% CI 0.31-0.93), but more likely to switch to a less effective method (aOR 2.25, 95% CI 1.16-4.34). Age was also associated with contraceptive use changes. CONCLUSIONS: Contraceptive use among Brazilian women during COVID-19 depended on their age and partnership status. During the period of the highest peak in the number of cases and deaths in the country, ambivalence towards a future pregnancy increased changes in contraceptive use. IMPLICATIONS: Contraceptive changes were observed during a two-wave web-survey in Brazil depending on women's age and partnership status. Ambivalence towards a future pregnancy increased changes in contraceptive use and should be considered in future studies regarding sexual and reproductive health and COVID-19 as well as in family planning program implementation.
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COVID-19 , Anticoncepcionais , Gravidez , Feminino , Humanos , Brasil , Controle de Doenças Transmissíveis , Serviços de Planejamento Familiar , Comportamento Contraceptivo , Internet , Anticoncepção/métodosRESUMO
The aim of the study was to evaluate the psychometric properties of the London Measure of Unplanned Pregnancy (LMUP) among female sex workers (FSWs) in Uganda. The LMUP was translated into Luganda and adapted for use with FSWs and underwent cognitive testing and two field tests. From the final Luganda LMUP, three other language versions were created (Acholi, Lugisu and Runyakole), and preliminary field test data were collected. Final data were collected from 819 FSWs attending the Most at Risk Population Initiative' clinics. The Luganda field testing showed that there were no missing data, the scale was well targeted, Cronbach's alpha was 0.82, weighted Kappa was 0.78, measurement was unidimensional, and all construct validity hypotheses were met. Likewise, with the Acholi, Lugisu, and Runyankole translations, field testing showed that there were no missing data, the scales were well targeted, Cronbach's alpha were>0.70, and measurement was unidimensional.We concluded that the Luganda LMUP is a valid and reliable tool for assessing pregnancy planning among FSWs in Uganda and that the Acholi, Lugisu, and Runyankole versions of the LMUP also had good initial psychometric properties