How, when, and who should ask about pregnancy intentions in primary care? A qualitative study of women's preferences.

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.

Predictive ability of the Desire to Avoid Pregnancy scale.

BACKGROUND: A longstanding gap in the reproductive health field has been the availability of a screening instrument that can reliably predict a person's likelihood of becoming pregnant. The Desire to Avoid Pregnancy Scale is a new measure; understanding its sensitivity and specificity as a screening tool for pregnancy as well as its predictive ability and how this varies by socio-demographic factors is important to inform its implementation. METHODS: This analysis was conducted on a cohort of 994 non-pregnant participants recruited in October 2018 and followed up for one year. The cohort was recruited using social media as well as advertisements in a university, school, abortion clinic and outreach sexual health service. Almost 90% of eligible participants completed follow-up at 12 months; those lost to follow-up were not significantly different on key socio-demographic factors. We used baseline DAP score and a binary variable of whether participants experienced pregnancy during the study to assess the sensitivity, specificity, area under the ROC curve (AUROC) and positive and negative predictive values (PPV and NPV) of the DAP at a range of cut-points. We also examined how the predictive ability of the DAP varied according to socio-demographic factors and by the time frame considered (e.g., pregnancy within 3, 6, 9 and 12 months). RESULTS: At a cut-point of 2 on the 0-4 range of the DAP scale, the DAP had a sensitivity of 0.78, a specificity of 0.81 and an excellent AUROC of 0.87. In this sample the cumulative incidence of pregnancy was 16% (95%CI 13%, 18%) making the PPV 43% and the NPV 95% at this cut-point. The DAP score was the factor most strongly associated with pregnancy, even after age and number of children were taken into account. The association between baseline DAP score and pregnancy did not differ across time frames. CONCLUSIONS: This is the first study to assess the DAP scale as a screening tool and shows that its predictive ability is superior to the limited pre-existing pregnancy prediction tools. Based on our findings, the DAP could be used with a cut-point selected according to the purpose.

Using a validated instrument to assess pregnancy planning and preconception care at antenatal booking visits: a retrospective cohort study.

OBJECTIVE: To determine the completion rate for the London Measure of Unplanned Pregnancy (LMUP), a psychometrically validated measure of a woman's intention with regard to a current or recent pregnancy, during booking visits at two metropolitan antenatal care clinics; to identify socio-demographic characteristics associated with unplanned pregnancy. DESIGN, SETTING, PARTICIPANTS: Retrospective cohort study; analysis of LMUP data for women attending antenatal care booking consultations as public patients in the Sydney Local Health District, 31 December 2019 - 30 November 2020. MAIN OUTCOME MEASURES: Proportions of women with LMUP scores indicating unplanned (0-9) or planned pregnancies (10-12); associations between planned pregnancy and socio-demographic characteristics, crude and adjusted for age, parity, and socio-economic status (Index of Relative Socioeconomic Disadvantage). RESULTS: Of 4993 women with antenatal care bookings, the LMUP was completed by 2385 (47.8%; 1142 of 3564 women at the tertiary referral hospital [32.0%], 1118 of 1160 at the secondary hospital [96.3%]). Planned pregnancies were indicated by the total LMUP scores of 1684 women (70.6%); 1290 women (59.1%) reported no health actions in preparation for pregnancy. In multivariable analyses, planned pregnancies were more likely in all age groups than for women aged 24 years or younger (30-34 years: adjusted odds ratio [aOR], 2.54; 95% confidence interval [CI], 1.76-3.66; 35-39 years: aOR, 2.91; 95% CI, 1.95-4.33). The likelihood of planned pregnancy declined with increasing parity (v no previous births: three previous births: aOR, 0.25; 95% CI, 0.16-0.40; four or more previous births: aOR, 0.10; 95% CI, 0.05-0.19). CONCLUSION: Seven in ten women who completed the LMUP had planned their pregnancies, but fewer than half had undertaken health-related actions prior to conceiving. Higher parity was associated with unplanned pregnancy, indicating the importance of postpartum contraception advice. Overcoming barriers to implementing the LMUP more widely would enhance preconception health monitoring.

Predicting Breast Reduction Resection Weights and Attainment of Insurance-Mandated Minimums.

BACKGROUND: Despite evidence that reduction mammaplasty alleviates macromastia symptoms independent of resection weights, resection minimums are commonly used to grant insurance coverage. Multiple formulas have been published to predict resection weights, but very few have evaluated predictive performance relative to attaining common insurance minimums. METHODS: This was a retrospective single-center review of 268 patients from 2007 to 2020. Multiple linear regression and exponential models were created to predict resection weights and attainment of the Schnur, 350-g, and 500-g minimums. Accuracy was compared against published Appel, Descamps, and Galveston equations. Body mass index subgroup analyses were performed. RESULTS: The exponential model possessed the lowest resection weight prediction error overall (172.8 ± 211.5 g). All equations performed significantly better than surgeons in predicting attainment of the 500-g minimum. None performed better than the surgeons' predictive accuracy in attaining a 350-g minimum. Multiple linear regression and exponential models performed significantly better than surgeons in predicting attainment of the Schnur minimum. Only the exponential model performed significantly better than surgeons for both the Schnur (82% versus 71%; P < 0.01) and the 500-g minimums (89% versus 68%; P < 0.01). On body mass index subgroup analyses, all three minimums were biased in favor of obese women-the least egregious of these was the 350-g minimum. CONCLUSIONS: All minimums were biased against nonobese women. Our exponential model equation based on preoperative sternal notch-to-nipple and nipple-to-inframammary fold distances accurately predicts resection weights and improves on our surgeons' predictive accuracy in attaining the Schnur or 500-g minimums. This may prove useful in the preoperative setting to better counsel patients.

Emotional experiences of women who access early pregnancy assessment units: a qualitative investigation.

Purpose: Early pregnancy complications are common and often result in pregnancy loss, which can be emotionally challenging for women. Research on the emotional experiences of those attending Early Pregnancy Assessment Units [EPAUs] is scarce. This analysis explored the emotions which women spontaneously reported when being interviewed about their experiences of using EPAU services.Materials and methods: Semi-structured telephone interviews were conducted with a purposive sample of 38 women. Using Thematic Framework Analysis, we identified six unique emotional typologies which mapped onto women's clinical journeys.Results: Women with ongoing pregnancies were characterized as having: "Anxious Presentation" or "Sustained Anxiety due to Diagnostic Uncertainty", dependent on whether their initial scan result was inconclusive. Women with pregnancy loss had one of four emotional typologies, varying by diagnostic timing and required interventions: "Anxious-Upset"; "Anxious-Upset after Diagnostic Uncertainty"; "Anxious-Upset with Procedural Uncertainty"; "Anxious with Sustained Uncertainty".Conclusions: We provide insights into the distinct emotions associated with different clinical pathways through EPAU services. Our findings could be used to facilitate wider recognition of women's emotional journeys through early pregnancy complications and stimulate research into how best to support women and their partners, in these difficult times.

SARS-CoV-2 infection in the first trimester and the risk of early miscarriage: a UK population-based prospective cohort study of 3041 pregnancies conceived during the pandemic.

STUDY QUESTION: Does maternal infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the first trimester affect the risk of miscarriage before 13 week's gestation? SUMMARY ANSWER: Pregnant women with self-reported diagnosis of SARS-CoV-2 in the first trimester had a higher risk of early miscarriage. WHAT IS KNOWN ALREADY: Viral infections during pregnancy have a broad spectrum of placental and neonatal pathology. Data on the effects of the SARS-CoV-2 infection in pregnancy are still emerging. Two systematic reviews and meta-analyses reported an increased risk of preterm birth, caesarean delivery, maternal morbidity and stillbirth. Data on the impact of first trimester infection on early pregnancy outcomes are scarce. This is the first study, to our knowledge, to investigate the rates of early pregnancy loss during the SARS-CoV-2 outbreak among women with self-reported infection. STUDY DESIGN, SIZE, DURATION: This was a nationwide prospective cohort study of pregnant women in the community recruited using social media between 21 May and 31 December 2020. We recruited 3545 women who conceived during the SARS-CoV-2 pandemic who were <13 week's gestation at the time of recruitment. PARTICIPANTS/MATERIALS, SETTING, METHODS: The COVID-19 Contraception and Pregnancy Study (CAP-COVID) was an on-line survey study collecting longitudinal data from pregnant women in the UK aged 18 years or older. Women who were pregnant during the pandemic were asked to complete on-line surveys at the end of each trimester. We collected data on current and past pregnancy complications, their medical history and whether they or anyone in their household had symptoms or been diagnosed with SARS-CoV-2 infection during each trimester of their pregnancy. RT-PCR-based SARS-CoV-2 RNA detection from respiratory samples (e.g. nasopharynx) is the standard practice for diagnosis of SARS-CoV-2 in the UK. We compared rate of self-reported miscarriage in three groups: 'presumed infected', i.e. those who reported a diagnosis with SARS-CoV-2 infection in the first trimester; 'uncertain', i.e. those who did not report a diagnosis but had symptoms/household contacts with symptoms/diagnosis; and 'presumed uninfected', i.e. those who did not report any symptoms/diagnosis and had no household contacts with symptoms/diagnosis of SARS-CoV-2. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 3545 women registered for the CAP-COVID study at <13 weeks gestation and were eligible for this analysis. Data for the primary outcome were available from 3041 women (86%). In the overall sample, the rate of self-reported miscarriage was 7.8% (238/3041 [95% CI, 7-9]). The median gestational age (GA) at miscarriage was 9 weeks (interquartile range 8-11). Seventy-seven women were in the 'presumed infected' group (77/3041, 2.5% [95% CI 2-3]), 295/3041 were in the uncertain group (9.7% [95% CI 9-11]) and the rest in the 'presumed uninfected' (87.8%, 2669/3041 [95% CI 87-89]). The rate of early miscarriage was 14% in the 'presumed infected' group, 5% in the 'uncertain' and 8% in the 'presumed uninfected' (11/77 [95% CI 6-22] versus 15/295 [95% CI 3-8] versus 212/2669 [95% CI 7-9], P = 0.02). After adjusting for age, BMI, ethnicity, smoking status, GA at registration and the number of previous miscarriages, the risk of early miscarriage appears to be higher in the 'presumed infected' group (relative rate 1.7, 95% CI 1.0-3.0, P = 0.06). LIMITATIONS, REASONS FOR CAUTION: We relied on self-reported data on early pregnancy loss and SARS-CoV-2 infection without any means of checking validity. Some women in the 'presumed uninfected' and 'uncertain' groups may have had asymptomatic infections. The number of 'presumed infected' in our study was low and therefore the study was relatively underpowered. WIDER IMPLICATIONS OF THE FINDINGS: This was a national study from the UK, where infection rates were one of the highest in the world. Based on the evidence presented here, women who are infected with SARS-CoV-2 in their first trimester may be at an increased risk of a miscarriage. However, the overall rate of miscarriage in our study population was 8%. This is reassuring and suggests that if there is an effect of SARS-CoV-2 on the risk of miscarriage, this may be limited to those with symptoms substantial enough to lead to a diagnostic test. Further studies are warranted to evaluate a causal association between SARS-CoV-2 infection in early pregnancy and miscarriage risk. Although we did not see an overall increase in the risk of miscarriage, the observed comparative increase in the presumed infected group reinforces the message that pregnant women should continue to exercise social distancing measures and good hygiene throughout their pregnancy to limit their risk of infection. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by a grant from the Elizabeth Garrett Anderson Hospital Charity (G13-559194). The funders of the study had no role in study design, data collection, data analysis, data interpretation or writing of the report. J.A.H. is supported by an NIHR Advanced Fellowship. A.L.D. is supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support to J.A.H. and A.L.D. as above; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work. TRIAL REGISTRATION NUMBER: N/A.

How do women prepare for pregnancy in a low-income setting? Prevalence and associated factors.

BACKGROUND: Despite growing evidence of pregnancy preparation benefits, there is little knowledge on how women in developing countries prepare for pregnancy and factors influencing their preparedness for pregnancy. Here, we determine how women in Malawi prepare for pregnancy and factors associated with pregnancy preparation. METHODS: We used data from a previous cohort study comprising 4,244 pregnant mothers, recruited between March and December 2013 in Mchinji district, Malawi. Associations of pregnancy preparation with socio-demographic and obstetric factors were tested for using mixed effects ordinal regression, with the likelihood ratio and Wald's tests used for variable selection and independently testing the associations. RESULTS: Most mothers (63.9%) did not take any action to prepare for their pregnancies. For those who did (36.1%), eating more healthily (71.9%) and saving money (42.8%) were the most common forms of preparation. Mothers who were married (adjusted odds-ratio (AOR 7.77 (95% CI [5.31, 11.25]) or with no or fewer living children were more likely to prepare for pregnancy (AOR 4.71, 95% CI [2.89,7.61]. Mothers with a period of two to three years (AOR 2.51, 95% CI [1.47, 4.22]) or at least three years (AOR 3.67, 95%CI [2.18, 6.23]) between pregnancies were more likely to prepare for pregnancy than women with first pregnancy or shorter intervals. On the other hand, teenage and older (≥ 35 years old) mothers were less likely to prepare for pregnancy (AOR 0.61, 95%CI [0.47, 0.80]) and AOR 0.49 95%CI [0.33, 0.73], respectively). CONCLUSION: While preconception care may not be formally available in Malawi, our study has revealed that over a third of mothers took some action to prepare for pregnancy before conception. Although this leaves around two thirds of women who did not make any form of pregnancy preparation, our findings form a basis for future research and development of a preconception care package that suits the Malawian context.

Evaluation of the Portuguese version of the London measure of unplanned pregnancy in Mozambique: A psychometric measurement study.

Robust forms of measurement such as the London Measure of Unplanned Pregnancy (LMUP), which recognise the complexity of the construct of pregnancy planning/intention, are being adopted worldwide. The aim of this study was to evaluate the psychometric properties of the Mozambican Portuguese version of the LMUP. The Brazilian Portuguese interviewer-administered LMUP was culturally adapted for use in Mozambique and pre-tested with 28 women. Field testing included 524 women aged 16-42. Completion rates of LMUP items were 100%. LMUP scores 0-12 were captured. In terms of reliability (internal consistency), Cronbach's alpha was 0.90, item-rest correlations were <0.2, and all inter-item correlations were positive. In terms of construct validity, principal components analysis showed that measurement was unidimensional, confirmatory factor analysis showed good model fit, and all hypotheses were met. We conclude that the Mozambican Portuguese LMUP is reliable, valid and suitable to use in Mozambique.

Quantifying the Pipeline of Ethnically Underrepresented in Medicine Physicians in Academic Plastic Surgery Leadership.

BACKGROUND: The lack of underrepresented in medicine (UIM) physicians in academic plastic surgery is emerging as a critical issue. Lack of diversity has a negative effect on patient care and on the culture of our health care system. This study reports the current status of ethnically UIM physicians in the plastic surgery pipeline, starting from the medical student level and progressing to national leadership positions. METHODS: The Electronic Residency Applications Service, National Resident Matching Program, Association of American Medical Colleges, and professional Web sites for journals and national societies were accessed for racial demographic information from 2008 to 2019. RESULTS: Over the past decade, there has been no change or a slight decrease in representation of Blacks among plastic surgery residency applicants, trainees, and academic faculty, at half or less than expected, compared with US Census data. The first point of drop-off occurs at the resident (3.8% of integrated and 5.6% of independent residents) to faculty level (<2.8%). Two percent of program directors and department heads/division chiefs are Black. The next point of drop-off occurs at the national level: there has never been a Black president of American Society of Plastic Surgeons or Plastic Surgery Foundation, and there are no Black editors-in-chiefs of major plastic surgery journals.Following LatinX American surgeons down the pipeline over the past decade, there has been no change or a decrease in representation among plastic surgery residency applicants, resident physicians, and academic faculty, at one-third or less than expected, compared with US Census data. The first point of drop-off occurs at the faculty (4.8%) to local leadership level (0% of program directors and department heads/division chiefs) where there is no representation of LatinX. Once this drop-off occurs, there is no recovery at the national leadership level. CONCLUSIONS: In order for our profession to reflect our nation's demographics, academic plastic surgery is in need of a paradigm shift now. Attrition of UIM physicians in plastic surgery begins at medical school graduation and persists through surgical training, faculty appointments, and attainment of leadership positions. Creative and innovative commitment to diversity and inclusion is necessary.

Evaluating the Chichewa version of the London Measure of Unplanned Pregnancy in Malawi: a validation update.

OBJECTIVE: To investigate the psychometric properties of the validated Chichewa version of the London Measure of Unplanned Pregnancy in a large representative community-based sample in Malawi, a low-income country. We collected data on pregnancy intention from a cohort of 4244 pregnant women in Malawi using the validated Chichewa version of the London Measure of Unplanned Pregnancy (LMUP). We evaluated the psychometric properties of the Chichewa LMUP using classical test theory and confirmatory factor analysis to re-assess the performance of items one and six, which had weaker performance in the original smaller, facility-based validation sample. RESULTS: The Chichewa version of the LMUP met all pre-set criteria for validation. There are now nine validations of the LMUP in different low-and-middle-income countries, confirming the validity and applicability of the LMUP in these settings.

On the Sensitivity and Specificity of Postmortem Upper Respiratory Tract Testing for SARS-CoV-2.

BACKGROUND: Postmortem testing can improve our understanding of the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) if sufficiently sensitive and specific. METHODS: We investigated the postmortem sensitivity and specificity of reverse transcriptase polymerase chain reaction (PCR) testing on upper respiratory swabs using a dataset of everyone tested for SARS-CoV-2 before and after death in England, 1 March to 29 October 2020. We analyzed sensitivity in those with a positive test before death by time to postmortem test. We developed a multivariate model and conducted time-to-negativity survival analysis. For specificity, we analyzed those with a negative test in the week before death. RESULTS: Postmortem testing within a week after death had a sensitivity of 96.8% if the person had tested positive within a week before death. There was no effect of age, sex, or specimen type on sensitivity, but individuals with coronavirus disease 2019 (COVID-19)-related codes on their death certificate were 5.65 times more likely to test positive after death (95% confidence interval, 2.31-13.9). Specificity was 94.2%, increasing to 97.5% in individuals without COVID-19 on the death certificate. CONCLUSION: Postmortem testing has high sensitivity (96.8%) and specificity (94.2%) if performed within a week after death and could be a useful diagnostic tool.

Posterior Cranial Vault Distraction Osteogenesis Utilizing a Posterior-Superior Distraction Vector in the Treatment of Mercedes Benz Pattern Craniosynostosis.

ABSTRACT: Bilateral lambdoid and sagittal synostosis, or Mercedes Benz Syndrome, is a rare complex craniosynostosis resulting in frontal bossing, a tapered posterior fossa, and an anteriorly displaced cranial vertex. Its ideal surgical correction must result in posterior expansion, skull elongation, and caudal repositioning of the vertex. We present a craniometric analysis of skull changes with posterior-superior distraction and introduce a novel craniometric measure: vertex position. In this study, a retrospective review was performed to analyze outcomes of posterior cranial vault distraction osteogenesis (PVDO) using a posterior-superior distraction vector from 2016 to 2019. Cranial vertex position was measured as a fraction of the occipitofrontal diameter from rostral to caudal (0-1.0). Four patients underwent PVDO at mean age 10.61 ±â€Š3.16 months utilizing a posterior-superior distraction vector. Linear distraction distance averaged 30.30 ±â€Š0.90 mm with a mean consolidation period of 3.98 ±â€Š0.72 months. Mean corrected change in intra-cranial volume was 236.30 ±â€Š3.71 mL, at an average rate of 7.81 ±â€Š2.00 mL/mm of distraction. Increases in anterior cranial height (7.83 ±â€Š2.51 mm), middle cranial height (8.43 ±â€Š4.21 mm), posterior cranial height (13.15 ±â€Š7.45 mm), and posterior cranial fossa height (21.99 ±â€Š8.55 mm) were observed. Cranial vertex demonstrated a mean posterior movement of 0.18 ±â€Š0.13. PVDO utilizing a posterior-superior distraction vector for management of nonsyndromic bilateral lambdoid and sagittal synostosis effectively increases intracranial volume and height and provides an esthetic outcome with posterior movement of the cranial vertex.

A Novel Frameshift Mutation in KAT6A Is Associated with Pancraniosynostosis.

De novo heterozygous mutations in the KAT6A gene give rise to a distinct intellectual disability syndrome, with features including speech delay, cardiac anomalies, craniofacial dysmorphisms, and craniosynostosis. Here, we reported a 16-year-old girl with a novel pathogenic variant of the KAT6A gene. She is the first case to possess pancraniosynostosis, a rare suture fusion pattern, affecting all her major cranial sutures. The diagnosis of KAT6A syndrome is established via recognition of its inherent phenotypic features and the utilization of whole exome sequencing. Thorough craniofacial evaluation is imperative, craniosynostosis may require operative intervention, the delay of which may be detrimental.

Opportunities for enhancing pregnancy planning and preconception health behaviours of Australian women.

PROBLEM AND BACKGROUND: The preconception period provides a significant opportunity to engage women in healthy behaviour change for improved maternal and child health outcomes. However, there is limited research exploring women's pregnancy planning in Australia. AIM: This study investigated associations between pregnancy planning, socio-demographics and preconception health behaviours in Australian women. METHODS: A retrospective cross-sectional survey of pregnant women ≥18-years-of-age recruited through a Victorian public maternity service and a national private health insurer. RESULTS: Overall 317 women (30±4.7 years) participated (public: n=225, private: n=92). Planned pregnancies were reported by 74% of women and were independently associated with marital status (AOR=5.71 95% CI 1.92-17.00, p=0.002); having ≤2 children (AOR=3.75 95% CI 1.28-11.05, p=0.016); and having private health insurance (AOR=2.51 95% CI 1.08-5.81, p=0.03). Overall, women reported preconception: any folic-acid supplementation (59%), up-to-date cervical screening (68%), weight management attempts (75%), accessing information from health professionals (57%) and immunisation reviews (47%). Pregnancy planners were more likely to use folic-acid (AOR=17.13 95% CI 7.67-38.26, p<0.001), review immunisations (AOR=2.09 95% CI 1.07-4.10, p=0.03) and access information (AOR=3.24 95% CI 1.75-6.00, p<0.001) compared to non-planners. Women <25-years-of-age were less likely to access information (AOR=0.38 95% CI 0.16-0.89, p=0.03) and take folic-acid (AOR=0.23 95% CI 0.09-0.59, p=0.002) and were more likely to smoke 3-months preconception (AOR=6.68 95% CI 1.24-36.12, p=0.03). CONCLUSIONS: Women with planned and unplanned pregnancies reported variable preconception health behaviour uptake and limited healthcare engagement. Opportunities exist to improve awareness and healthcare engagement for optimising preconception health and pregnancy planning benefits including collaborative health promotion. Population-based and targeted approaches reaching pregnancy planners and non-planners are required.

Validation of the London Measure of Unplanned Pregnancy among pregnant Australian women.

INTRODUCTION: Globally, over half of pregnancies in developed countries are unplanned. Identifying and understanding the prevalence and complexity surrounding pregnancy preparation among Australian women is vital to enable sensitive, responsive approaches to addressing preconception and long-term health improvements for these women with varying motivation levels. AIM: This study evaluated the reliability and validity of a comprehensive pregnancy planning/intention measure (London Measure of Unplanned Pregnancy) in a population of pregnant women (over 18 years of age) in Australia. METHODS: A psychometric evaluation, within a cross-sectional study comprising cognitive interviews (to assess comprehension and acceptability) and a field test. Pregnant women aged over 18 years were recruited in early pregnancy (approximately 12 weeks' gestation). Reliability (internal consistency) was assessed using Cronbach's alpha, corrected item-total correlations and inter-item correlations, and stability via a test-retest. Construct validity was assessed using principal components analysis and hypothesis testing. RESULTS: Six women participated in cognitive interviews and 317 in the field test. The London Measure of Unplanned Pregnancy was acceptable and well comprehended. Reliability testing demonstrated good internal consistency (alpha = 0.81, all corrected item-total correlations >0.20, all inter-item correlations positive) and excellent stability (weighted kappa = 0.92). Validity testing confirmed the unidimensional structure of the measure and all hypotheses were confirmed. CONCLUSIONS: The London Measure of Unplanned Pregnancy is a valid and reliable measure of pregnancy planning/intention for the Australian population. Implementation of this measure into all maternity healthcare, research and policy settings will provide accurate population-level pregnancy planning estimates to inform, monitor and evaluate interventions to improve preconception health in Australia.

Political views of doctors in the UK: a cross-sectional study.

BACKGROUND: Little is known about the political views of doctors in the UK despite doctors' importance in the functioning of the National Health Service (NHS). METHODS: This is a survey-based, cross-sectional study in which we asked questions about voting behaviour in 2015 and 2017 UK general elections and 2016 referendum on leaving the European Union (EU) (Brexit), and questions relating to recent health policies. RESULTS: 1172 doctors (45.1% women) from 1295 responded to an online survey. 60.5% described their political views as 'left-wing' and 62.2% described themselves as 'liberal'. 79.4% of respondents voted to remain in the EU in the 2016 referendum compared with 48.1% of voters as a whole (χ2=819.8, p<0.001). 98.6% of respondents agreed that EU nationals working in the NHS should be able to remain in the UK after Brexit. The median score for the impact of Brexit on the NHS on a scale of 0 (worst impact) to 10 (best impact) was 2 (IQR=1-4). Most respondents agreed with the introduction of minimum alcohol pricing in the UK (73.9%), charging patients who are not eligible for NHS treatment for non-urgent care (70.6%) and protecting a portion of national spending for the NHS (87.1%). 65.8% thought there was too much use of NHS-funded private sector provision in their medical practice. Specialty, income and grade were associated with divergent opinions. CONCLUSIONS: UK doctors are left-leaning and liberal in general, which is reflected in their opinions on topical health policy issues. Doctors in the UK voted differently from the general electorate in recent polls.

Comparing the order of the London Measure of Unplanned Pregnancy and the Demographic and Health Survey question on pregnancy intention in a single group of postnatal women in Malawi - the effect of question order on assessment of pregnancy intention.

OBJECTIVE: To investigate the effect of question order on women's responses to the London Measure of Unplanned Pregnancy (LMUP) or the pregnancy intention question of the Demographic and Health Survey (DHS) when both are asked in the same survey. We collected data on pregnancy intention from a cohort of 4244 pregnant women in Malawi who were re-interviewed at 1, 6 and 12 months postnatally. Women in Zone 1 were asked the LMUP, then antenatal questions, then the DHS pregnancy intention question, women in Zone 2 were asked the DHS pregnancy intention question, then antenatal questions, then the LMUP; women in Zone 3 were only asked the DHS pregnancy intention question. We used linear regression to compare the LMUP score and ordinal regression to compare DHS categorisations of pregnancy intention across Zones, adjusting for baseline socioeconomic differences between the Zones. RESULTS: We found no effect of question order on the assessment of pregnancy intention by the LMUP. There were differences in the assessment of pregnancy intention when the pregnancy intention question in the DHS was used, however this seemed to be due to baseline sociodemographic differences between the groups of pregnant women being compared, and not due to question order.

London Measure of Unplanned Pregnancy: guidance for its use as an outcome measure.

BACKGROUND: The London Measure of Unplanned Pregnancy (LMUP) is a psychometrically validated measure of the degree of intention of a current or recent pregnancy. The LMUP is increasingly being used worldwide, and can be used to evaluate family planning or preconception care programs. However, beyond recommending the use of the full LMUP scale, there is no published guidance on how to use the LMUP as an outcome measure. Ordinal logistic regression has been recommended informally, but studies published to date have all used binary logistic regression and dichotomized the scale at different cut points. There is thus a need for evidence-based guidance to provide a standardized methodology for multivariate analysis and to enable comparison of results. This paper makes recommendations for the regression method for analysis of the LMUP as an outcome measure. MATERIALS AND METHODS: Data collected from 4,244 pregnant women in Malawi were used to compare five regression methods: linear, logistic with two cut points, and ordinal logistic with either the full or grouped LMUP score. The recommendations were then tested on the original UK LMUP data. RESULTS: There were small but no important differences in the findings across the regression models. Logistic regression resulted in the largest loss of information, and assumptions were violated for the linear and ordinal logistic regression. Consequently, robust standard errors were used for linear regression and a partial proportional odds ordinal logistic regression model attempted. The latter could only be fitted for grouped LMUP score. CONCLUSION: We recommend the linear regression model with robust standard errors to make full use of the LMUP score when analyzed as an outcome measure. Ordinal logistic regression could be considered, but a partial proportional odds model with grouped LMUP score may be required. Logistic regression is the least-favored option, due to the loss of information. For logistic regression, the cut point for un/planned pregnancy should be between nine and ten. These recommendations will standardize the analysis of LMUP data and enhance comparability of results across studies.