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      Does involvement in a cohort study improve health and affect health inequalities? A natural experiment

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          Abstract

          Background

          Evidence suggests that the process of taking part in health research can improve participants’ health, independent of any intended intervention. However, no research has yet explored whether these effects differ across socioeconomic groups. If the effect of mere participation in health research also has a social gradient this could increase health inequalities and bias research results. This study used the Born in Bradford family cohort (BIB) to explore whether simply taking part in BIB had improved participants’ health and, if so, whether this effect was mediated by socioeconomic status.

          Methods

          Survey data on self-reported health behaviours were collected between 2007 and 2010 as part of BIB. These were augmented by clinical data on birth weight. Pregnant women on their second pregnancy, joining BIB for the first time formed the control group. Their health was compared to women on their second pregnancy who had both pregnancies within the study, who formed the exposed group. In order to limit the inherent bias in a non-randomised study, propensity score analysis was used, matching on age, ethnicity, education and date of questionnaire. The results were then compared according to mothers' education.

          Results

          Of six outcomes tested, only alcohol consumption showed a statistically significant reduction with exposure to BIB (OR: 0.35, 95% CIs 0.13, 0.92). Although effect estimates were larger for women with higher education compared to lower education, these effects were not statistically significant.

          Conclusions

          Despite one significant finding, these results overall are insufficient to conclude that simply taking part in BIB affected participants’ health. We recommend that socioeconomic status is considered in future studies testing effects of research participation, and that randomised studies with larger sample sizes are conducted.

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          Most cited references20

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          The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature.

          The purpose of this paper is to summarize the best evidence regarding the impact of providing patient-reported outcomes (PRO) information to health care professionals in daily clinical practice. Systematic review of randomized clinical trials (Medline, Cochrane Library; reference lists of previous systematic reviews; and requests to authors and experts in the field). Out of 1,861 identified references published between 1978 and 2007, 34 articles corresponding to 28 original studies proved eligible. Most trials (19) were conducted in primary care settings performed in the USA (21) and assessed adult patients (25). Information provided to professionals included generic health status (10), mental health (14), and other (6). Most studies suffered from methodologic limitations, including analysis that did not correspond with the unit of allocation. In most trials, the impact of PRO was limited. Fifteen of 23 studies (65%) measuring process of care observed at least one significant result favoring the intervention, as did eight of 17 (47%) that measured outcomes of care. Methodological concerns limit the strength of inference regarding the impact of providing PRO information to clinicians. Results suggest great heterogeneity of impact; contexts and interventions that will yield important benefits remain to be clearly defined.
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            The use of patient reported outcome measures in routine clinical practice: lack of impact or lack of theory?

            This paper applies a theory-driven approach to explore why the use of patient-reported outcome (PRO) measures in clinical practice, in particular, health-related quality of life (HRQoL) instruments, has little or no apparent influence on clinical decision making. A theory-driven approach involves combining knowledge of whether and how an intervention works. It is argued that such an approach is currently lacking within the literature evaluating the effectiveness of feeding back HRQoL information to clinicians. The paper identifies a number of mechanisms that might give rise to the expected outcomes that are currently implicit within the design of the intervention and hypotheses specified within the trials evaluating the use of HRQoL measures in clinical practice. It then examines how far current clinical practice matches these mechanisms and in doing so, a number of possible explanations for the lack of impact of HRQoL on clinical decision making are reviewed. The influence of HRQoL information on clinical decision making depends on a large number of factors related to the design of the intervention, patients' and clinicians' desire to discuss HRQoL issues within the consultation and the legitimacy that clinicians give to HRQoL instruments. To date, knowledge of how the feedback of HRQoL information to clinicians might improve doctor-patient communication or clinical decision making has yet to sufficiently inform an assessment of whether these aspects of patient care are improved. The paper concludes by specifying how the feedback of HRQoL information to clinicians might be modified to maximise its impact on clinical decision making.
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              Vitamin D during pregnancy and maternal, neonatal and infant health outcomes: a systematic review and meta-analysis.

              Vitamin D has well-defined classical functions related to calcium metabolism and bone health but also has non-classical effects that may influence other aspects of health. There has been considerable recent interest in the role of vitamin D on outcomes related to pregnancy and young child health but few efforts have been made to systematically consolidate this evidence to inform the research and policy agenda for low-income countries. A systematic review was undertaken to identify intervention and observational studies of vitamin D supplementation, intake or status (25-hydroxy-vitamin D) during pregnancy on perinatal and infant health outcomes. Data from trials and observational studies isolating the effect of vitamin D supplementation and intake were extracted and study quality was evaluated. Meta-analysis was used to pool effect estimates. We identified five randomised trials with outcomes of relevance to our review. All had small sample size and dosage amount, duration and frequency varied as did the ability to correct deficiency. Pooled analysis of trials using fixed-effects models suggested protective effects of supplementation on low birthweight (three trials, risk ratio (RR) = 0.40 [95% confidence interval (CI) 0.23, 0.71]) and non-significant but suggestive effects of daily supplementation on small-for-gestational age (two trials, RR = 0.67 [0.40, 1.11]). No effect on preterm delivery (<37 weeks) was evident (two trials, RR = 0.77 [0.35, 1.66]). Little evidence from trials exists to evaluate the effect of vitamin D supplementation during pregnancy on maternal, perinatal or infant health outcomes. Based on both trials and observational studies, we recommend that future research explore small-for-gestational age, preterm delivery, pre-eclampsia, and maternal and childhood infections, as outcomes of interest. Trials should focus on populations with a high prevalence of vitamin D deficiency, explore the relevance of timing of supplementation, and the dosage used in such trials should be sufficient to correct deficiency. © 2012 Blackwell Publishing Ltd.
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                Author and article information

                Contributors
                annie.quick@neweconomics.org
                jan.boehnke@york.ac.uk
                john.wright@bthft.nhs.uk
                kate.pickett@york.ac.uk
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                25 January 2017
                25 January 2017
                2017
                : 17
                : 79
                Affiliations
                [1 ]ISNI 0000 0004 1936 9668, GRID grid.5685.e, Department of Health Sciences, , University of York, ; Heslington, York YO10 5DD UK
                [2 ]ISNI 0000 0004 1936 9668, GRID grid.5685.e, Mental Health and Addiction Research Group (MHARG), Hull York Medical School and Department of Health Sciences, , University of York, ; Heslington, York YO10 5DD UK
                [3 ]ISNI 0000 0004 0391 9047, GRID grid.418447.a, , Bradford Institute for Health Research, Temple Bank House, Bradford Royal Infirmary, ; Duckworth Lane, Bradford, BD9 6RJ UK
                Author information
                http://orcid.org/0000-0001-9224-7331
                Article
                2016
                10.1186/s12913-017-2016-7
                5264453
                28122612
                e51ffea9-5b17-4335-b5d1-3d5ef37d8535
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 27 July 2015
                : 16 January 2017
                Funding
                Funded by: CLARHC Leeds York and Bradford
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                born in bradford,hawthorne effect,health inequalities,mere measurement
                Health & Social care
                born in bradford, hawthorne effect, health inequalities, mere measurement

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