scholarly journals External validity of prevalence estimates from the national maternity surveys in England: The impact of response rate

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242815
Author(s):  
Sian Harrison ◽  
Fiona Alderdice ◽  
Maria A. Quigley
Keyword(s):  
Preterm Birth ◽  
Caesarean Section ◽  
External Validity ◽  
Low Birthweight ◽  
Response Rate ◽  
Response Rates ◽  
Population Based ◽  
Breastfeeding Initiation ◽  
Prevalence Estimates ◽  
Survey Estimates

Background Prevalence estimates from surveys with low response rates are prone to non-response bias if respondents and non-respondents differ on the outcome of interest. This study assessed the external validity of prevalence estimates of selected maternity indicators from four national maternity surveys in England which had similar survey methodology but different response rates. Methods A secondary analysis was conducted using data from the national maternity surveys in 2006 (response rate = 63%), 2010 (response rate = 54%), 2014 (response rate = 47%) and 2018 (response rate = 29%). Unweighted and (for the 2014 and 2018 surveys) weighted survey prevalence estimates (with 95%CIs) of caesarean section, preterm birth, low birthweight and breastfeeding initiation were validated against population-based estimates from routine data. Results The external validity of the survey estimates varied across surveys and by indicator. For caesarean section, the 95%CIs for the unweighted survey estimates included the population-based estimates for all surveys. For preterm birth and low birthweight, the 95%CIs for the unweighted survey estimates did not include the population-based estimates for the 2006 and 2010 surveys (or the 2014 survey for preterm birth). For breastfeeding initiation, the 95%CIs for the unweighted survey estimates did not include the population-based estimates for any survey. For all indicators, the effect of weighting (on the 2014 and 2018 survey estimates) was mostly a shift towards the population-based estimates, yet the 95%CIs for the weighted survey estimates of breastfeeding initiation did not include the population-based estimates. Conclusion There were no clear differences in the external validity of prevalence estimates according to survey response rate suggesting that prevalence estimates may still be valid even when survey response rates are low. The survey estimates tended to become closer to the population-based estimates when weights were applied, yet the effect was insufficient for breastfeeding initiation estimates.

Prescription opioid use during pregnancy and risk for preterm birth or term low birthweight

2021 ◽  
Vol 17 (3) ◽  
pp. 215-225
Author(s):  
Julia D. Interrante, MPH ◽  
Stacey L. P. Scroggs, PhD ◽  
Carol J. Hogue, PhD ◽  
Jan M. Friedman, MD ◽  
Jennita Reefhuis, PhD ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Gestational Age ◽  
Low Birthweight ◽  
Opioid Analgesic ◽  
Population Based ◽  
Prescription Opioid ◽  
Opioid Use ◽  
Increased Risk ◽  
Potential Risks ◽  
Prescription Opioid Use

Objective: Examine the relationship between prescription opioid analgesic use during pregnancy and preterm birth or term low birthweight.Design, setting, and participants: We analyzed data from the National Birth Defects Prevention Study, a US multisite, population-based study, for births from 1997 to 2011. We defined exposure as self-reported prescription opioid use between one month before conception and the end of pregnancy, and we dichotomized opioid use duration by ≤7 days and 7 days.Main outcome measures: We examined the association between opioid use and preterm birth (defined as gestational age 37 weeks) and term low birthweight (defined as 2500 g at gestational age ≥37 weeks).Results: Among 10,491 singleton mother/infant pairs, 470 (4.5 percent) reported opioid use. Among women reporting opioid use, 236 (50 percent) used opioids for 7 days; codeine (170, 36 percent) and hydrocodone (163, 35 percent) were the most commonly reported opioids. Opioid use was associated with slightly increased risk for preterm birth [adjusted odds ratio, 1.4; 95 percent confidence interval, 1.0, 1.9], particularly with hydrocodone [1.6; 1.0, 2.6], meperidine [2.5; 1.2, 5.2], or morphine [3.0; 1.5, 6.1] use for any duration; however, opioid use was not significantly associated with term low birthweight.Conclusions: Preterm birth occurred more frequently among infants of women reporting prescription opioid use during pregnancy. However, we could not determine if these risks relate to the drug or to indications for use. Patients who use opioids during pregnancy should be counseled by their practitioners about this and other potential risks associated with opioid use in pregnancy. 

scholarly journals Survival of Preterm Singleton Deliveries: A Population-Based Retrospective Study

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Boubakari Ibrahimou ◽  
Sireesha Kodali ◽  
Hamisu Salihu
Keyword(s):  
Retrospective Study ◽  
Preterm Birth ◽  
Caesarean Section ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Postneonatal Mortality ◽  
Increased Risk

Aim. To identify sociodemographic and medical characteristics associated with preterm birth survival. Methods. A retrospective study of singleton births was performed using Missouri linked data for the years 1978 to 2005. We computed hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards model. Results. High rates of infant, neonatal, and postneonatal mortality were observed among preterm as compared to term births. White are at low risk for postneonatal (HR = 0.77, CI: 0.65, 0.90) and infant mortality (HR = 0.90, CI: 0.81, 0.99) compared to blacks. We observed increased risks of all mortality types for preterm deliveries by caesarean section (neonatal HR = 1.53, CI: 1.40, 1.68; postneonatal HR = 1.39, CI: 1.22, 1.58; infant HR = 1.37, CI: 1.27, 1.48). As compared to nonsmokers, preterm singletons born to smoking mothers are 69% more likely to experience postneonatal mortality and have a 17% increased risk for infant death. Conclusions. Caesarean section is associated with increased risk of all types of mortality. Racial disparity is still a concern. Further research is required to identify the detailed differences in structure and procedures that result in the disadvantage associated with preterm birth especially with respect to caesarean section and race.

scholarly journals Extremely preterm birth and adolescent mental health in a geographical cohort born in the 1990s

2013 ◽  
Vol 44 (7) ◽  
pp. 1533-1544 ◽  
Author(s):  
A. Burnett ◽  
C. G. Davey ◽  
S. J. Wood ◽  
M. Wilson-Ching ◽  
C. Molloy ◽  
...  
Keyword(s):  
Mental Health ◽  
Preterm Birth ◽  
Personality Traits ◽  
Low Birthweight ◽  
Mental Health Problems ◽  
Population Based ◽  
Anxiety Symptoms ◽  
Hyperactivity Disorder ◽  
Extremely Preterm ◽  
And Control

BackgroundPreterm birth confers risk for poor outcome, including mental health problems. Survival of extremely preterm (EP; <28 weeks' gestation) or extremely low birthweight (ELBW; <1000 g) infants increased in the 1990s but psychiatric outcomes in older adolescents born preterm since 1990 are not well documented. This study aimed to characterize mental health and personality traits in a prospective geographical cohort of adolescents born EP/ELBW in Victoria, Australia in 1991 and 1992.MethodAt age 18 years, 215 EP/ELBW and 157 normal birthweight (>2499 g) control adolescents completed the Structured Clinical Interview for DSM-IV Disorders, Axis 1 Non-Patient version (SCID-I/NP), the Children's Interview for Psychiatric Syndromes (ChIPS) attention deficit hyperactivity disorder (ADHD) module, and questionnaires assessing recent depression and anxiety symptoms and personality traits.ResultsADHD prevalence was significantly elevated in EP/ELBW adolescents compared with controls [15% v. 7%; odds ratio (OR) 2.67, 95% confidence interval (CI) 1.08–6.58]. Aside from ADHD, however, EP/ELBW and control adolescents reported very similar outcomes, with other lifetime diagnoses identified in 23% of EP/ELBW and 21% of controls. These were predominantly mood and anxiety disorders (21% EP/ELBW, 20% controls). The groups did not differ in recent depression or anxiety symptoms assessed using questionnaires, and personality traits were also similar.ConclusionsADHD was more prevalent in EP/ELBW adolescents than controls, which is consistent with some, but not all, reports on preterm survivors born before the 1990s, and younger preterm children born in the 1990s. The high rates of anxiety and mood disorders were similar in both groups, and comparable with population-based estimates.

scholarly journals Prevalence of chronic disabling fatigue in children and adolescents

2004 ◽  
Vol 184 (6) ◽  
pp. 477-481 ◽  
Author(s):  
Anne Farmer ◽  
Tom Fowler ◽  
Jane Scourfield ◽  
Anita Thapar
Keyword(s):  
Young People ◽  
Response Rate ◽  
Chronic Fatigue ◽  
Population Based ◽  
Self Report ◽  
Lifetime Prevalence ◽  
Telephone Interviews ◽  
Fatigue Syndrome ◽  
Prevalence Estimates ◽  
Experienced Fatigue

BackgroundThe epidemiology of chronic fatiguing illnesses in young people is poorly understood.AimsTo estimate the lifetime prevalence of different definitions of chronic fatigue in 8-to 17-year-olds.MethodParticipants came from two population-based twin series. Parents completed self-report questionnaires that enquired whether either child had ever experienced more than a few days of disabling fatigue. Telephone interviews were undertaken for individuals who had experienced such an episode.ResultsQuestionnaires were returned by 1468 families (65% response rate) and telephone interviews were undertaken regarding 99 of the 129 subjects (77%) who had experienced fatigue. The lifetime prevalence estimates ranged from 2.34% (95% CI 1.75–2.94) for disabling fatigue lasting 3 months to 1.29% (95% CI 0.87–1.71) for a disorder resembling adult operationally defined chronic fatigue syndrome.ConclusionsFrom the age of 11 years, young people have similar rates and types of chronic fatiguing illnesses to adults.

scholarly journals Low birthweight and preterm birth: trends and inequalities in four population-based birth cohorts in Pelotas, Brazil, 1982–2015

2018 ◽  
Vol 48 (Supplement_1) ◽  
pp. i46-i53 ◽  
Author(s):  
Mariangela F Silveira ◽  
Cesar G Victora ◽  
Bernardo L Horta ◽  
Bruna G C da Silva ◽  
Alicia Matijasevich ◽  
...  
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Low Income ◽  
Low Birthweight ◽  
Family Income ◽  
Preterm Births ◽  
Population Based ◽  
Skin Colour ◽  
Birth Cohorts ◽  
Maternal Risk

Abstract Background Despite positive changes in most maternal risk factors in Brazil, previous studies did not show reductions in preterm birth and low birthweight. We analysed trends and inequalities in these outcomes over a 33-year period in a Brazilian city. Methods Four population-based birth cohort studies were carried out in the city of Pelotas in 1982, 1993, 2004 and 2015, with samples ranging from 4231 to 5914 liveborn children. Low birthweight (LBW) was defined as &lt;2500 g, and preterm birth as less than 37 weeks of gestation. Information was collected on family income, maternal skin colour and other risk factors for low birthweight. Multivariable linear regression was used to estimate the contribution of risk factors to time trends in birthweight. Results Preterm births increased from 5.8% (1982) to 13.8% (2015), and LBW prevalence increased from 9.0% to 10.1%, being higher for boys and for children born to mothers with low income and brown or black skin colour. Mean birthweight remained stable, around 3200 g, but increased from 3058 to 3146 g in the poorest quintile and decreased from 3307 to 3227 g in the richest quintile. After adjustment for risk factors for LBW, mean birthweight was estimated to have declined by 160 g over 1982–2015 (reductions of 103 g in the poorest and 213 g in the richest quintiles). Conclusions Data from four birth cohorts show that preterm births increased markedly. Mean birthweights remained stable over a 33-year period. Increased prevalence of preterm and early term births, associated with high levels of obstetric interventions, has offset the expected improvements due to reduction in risk factors for low birthweight.

scholarly journals Population-based prevalence surveys during the COVID-19 pandemic: a systematic review

2020 ◽  
Author(s):  
Vinícius Bonetti Franceschi ◽  
Andressa Schneiders Santos ◽  
Andressa Barreto Glaeser ◽  
Janini Cristina Paiz ◽  
Gabriel Dickin Caldana ◽  
...  
Keyword(s):  
Systematic Review ◽  
Response Rate ◽  
Population Based ◽  
Risk Of Bias ◽  
Rt Pcr ◽  
Antibody Testing ◽  
Asian Studies ◽  
Minority Communities ◽  
Prevalence Estimates

AbstractPopulation-based prevalence surveys of COVID-19 contribute to establish the burden and epidemiology of infection, the role of asymptomatic and mild infections in transmission, and allow more precise decisions about reopen policies. We performed a systematic review to evaluate qualitative aspects of these studies, their reliability, and biases. The available data described 37 surveys from 19 countries, mostly from Europe and America and using antibody testing. They reached highly heterogeneous sample sizes and prevalence estimates. Disproportional prevalence was observed in minority communities. Important risk of bias was detected in four domains: sample size, data analysis with sufficient coverage, measurements in standard way, and response rate. The correspondence analysis showed few consistent patterns for high risk of bias. Intermediate risk of bias was related to American and European studies, blood samples and prevalence >1%. Low risk of bias was related to Asian studies, RT-PCR tests and prevalence <1%.One sentence summaryPopulation-based prevalence surveys of COVID-19 until September 2020 were mostly conducted in Europe and Americas, used antibody testing, and had important risks of bias.

scholarly journals Analysis of Factors Influencing Telephone Call Response Rate in an Epidemiological Study

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jorge Matías-Guiu ◽  
Pedro Jesús Serrano-Castro ◽  
José Ángel Mauri-Llerda ◽  
Francisco José Hernández-Ramos ◽  
Juan Carlos Sánchez-Alvarez ◽  
...  
Keyword(s):  
Epidemiological Study ◽  
Response Rate ◽  
Telephone Survey ◽  
Response Rates ◽  
Population Based ◽  
Southern Spain ◽  
Descriptive Epidemiology ◽  
Geographical Differences ◽  
Factors Influencing ◽  
Large Numbers

Descriptive epidemiology research involves collecting data from large numbers of subjects. Obtaining these data requires approaches designed to achieve maximum participation or response rates among respondents possessing the desired information. We analyze participation and response rates in a population-based epidemiological study though a telephone survey and identify factors implicated in consenting to participate. Rates found exceeded those reported in the literature and they were higher for afternoon calls than for morning calls. Women and subjects older than 40 years were the most likely to answer the telephone. The study identified geographical differences, with higher RRs in districts in southern Spain that are not considered urbanized. This information may be helpful for designing more efficient community epidemiology projects.

scholarly journals Pregnancy outcomes in women with idiopathic inflammatory myopathy, before and after diagnosis—a population-based study

Rheumatology ◽  
2020 ◽  
Vol 59 (9) ◽  
pp. 2572-2580
Author(s):  
Weng Ian Che ◽  
Karin Hellgren ◽  
Olof Stephansson ◽  
Ingrid E Lundberg ◽  
Marie Holmqvist
Keyword(s):  
Birth Weight ◽  
Preterm Birth ◽  
Caesarean Section ◽  
Low Birth Weight ◽  
Pregnancy Outcomes ◽  
Inflammatory Myopathy ◽  
Idiopathic Inflammatory Myopathy ◽  
Population Based ◽  
Instrumental Delivery ◽  
Close Monitoring

Abstract Objectives To examine pregnancy outcomes among births to women with idiopathic inflammatory myopathy (IIM) in relation to time of IIM diagnosis using population-based data. Methods This study used Swedish nationwide registers to identify all singleton births that occurred between 1973 and 2016 among women diagnosed with IIM between 1998 and 2016 and among women unexposed to IIM. We classified births according to the IIM status of the mother at time of delivery: post-IIM (n = 68), 1–3 years pre-IIM (n = 23), &gt;3 years pre-IIM (n = 710) and unexposed to IIM (n = 4101). Multivariate regression models were used to estimate relative risks of adverse pregnancy outcomes in post-IIM births and pre-IIM births separately, in comparison with their non-IIM comparators. Results We found that post-IIM births had increased risks of caesarean section [adjusted relative risk (aRR) = 1.98; 95% CI: 1.08, 3.64], preterm birth (aRR = 3.35; 95% CI: 1.28, 8.73) and low birth weight (aRR = 5.69; 95% CI: 1.84, 17.55) compared with non-IIM comparators. We also noticed higher frequencies of caesarean section and instrumental delivery in 1–3 years pre-IIM births than in the non-IIM comparators. Conclusion Women who gave birth after IIM diagnosis had higher risks of caesarean section, preterm birth and low birth weight. These results further underline the importance of special care and close monitoring of women with IIM. Higher frequencies of caesarean section and instrumental delivery in pre-IIM births highlight the need for future research on the influence of subclinical features of IIM on pregnancy outcomes.

scholarly journals A framework for exploring non-response patterns over time in health surveys

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Famke J. M. Mölenberg ◽  
Chris de Vries ◽  
Alex Burdorf ◽  
Frank J. van Lenthe
Keyword(s):  
Health Behaviour ◽  
Health Surveys ◽  
Response Rate ◽  
Health Behaviours ◽  
Response Rates ◽  
Response Patterns ◽  
Prevalence Estimates ◽  
Sociodemographic Determinants ◽  
The Difference ◽  
Over Time

Abstract Background Most health surveys have experienced a decline in response rates. A structured approach to evaluate whether a decreasing - and potentially more selective - response over time biased estimated trends in health behaviours is lacking. We developed a framework to explore the role of differential non-response over time. This framework was applied to a repeated cross-sectional survey in which the response rate gradually declined. Methods We used data from a survey conducted biannually between 1995 and 2017 in the city of Rotterdam, The Netherlands. Information on the sociodemographic determinants of age, sex, and ethnicity was available for respondents and non-respondents. The main outcome measures of prevalence of sport participation and watching TV were only available for respondents. The framework consisted of four steps: 1) investigating the sociodemographic determinants of responding to the survey and the difference in response over time between sociodemographic groups; 2) estimating variation in health behaviour over time; 3) comparing weighted and unweighted prevalence estimates of health behaviour over time; and 4) comparing associations between sociodemographic determinants and health behaviour over time. Results The overall response rate per survey declined from 47% in 1995 to 15% in 2017. The probability of responding was higher among older people, females, and those with a Western background. The response rate declined in all subgroups, and a faster decline was observed among younger persons and those with a non-Western ethnicity as compared to older persons and those with a Western ethnicity. Variation in health behaviours remained constant. Prevalence estimates and associations did not follow the changes in response over time. On the contrary, the difference in probability of participating in sport gradually decreased between males and females, while no differential change in the response rate was observed. Conclusions Providing insights on non-response patterns over time is essential to understand whether declines in response rates may have influenced estimated trends in health behaviours. The framework outlined in this study can be used for this purpose. In our example, in spite of a major decline in response rate, there was no evidence that the risk of non-response bias increased over time.

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