Dataset Information

Assessing the impact of specialist home visiting upon maltreatment in England: a feasibility study of data linkage from a public health trial to routine health and social care data.

ABSTRACT:

Background

Follow-up for public health trials may benefit from greater use of routine data. Our trial of a home-visiting intervention for first-time teenage mothers assessed outcomes to the child's second birthday. To examine its medium-term impact, particularly upon maltreatment outcomes, we designed a study using routine records.

Methods

We aimed to establish the feasibility of our study design, which combines trial data with routine health, social care and education data using a dissent-based linkage model. Trial participant identifiers were linked to routine health, social care and education data if women did not dissent. Data were forwarded to a safe haven and further linked to de-identified trial outcome data. The feasibility study aimed first to establish the acceptability of data linkage through a discussion group of young mothers and by levels of dissent received by the research team. Second, we assessed levels of accurate linkage to both health (via NHS Digital) and education and social care (both via National Pupil Database, NPD). Third, we assessed the availability of data and levels of missingness for key outcomes received for a sample of target study years.

Results

Of 1545 mother-child dyads contacted, eight women opted out. The engagement exercise with stakeholders found support for the principle of data linkage, including in the context of maltreatment. Some contributors preferred opt-in consent. Most (99.9%) health records were matched on either three or all four identifiers. Fifty participants were not matched to any health data. Primary outcome data from NPD are derived from any one of three fields, all of which were satisfactorily returned and provided an indication of cases for analysis. Missing data for secondary outcomes varied from 0% (Child looked after status) to 70% (Anatomical Area A&E diagnosis) however when combined with other variables the levels of missingness for outcome decrease.

Conclusions

Through study set-up and in this pilot, we provide evidence that the main study is feasible, satisfies governance requirements and is likely to generate data of sufficient quality to address our main research questions. Observed levels of missingness or low event rates are likely to affect some secondary analysis (e.g. state transition modelling) although overall were satisfactory.

SUBMITTER: Lugg-Widger F

PROVIDER: S-EPMC6022436 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Assessing the impact of specialist home visiting upon maltreatment in England: a feasibility study of data linkage from a public health trial to routine health and social care data.

Lugg-Widger Fiona F Cannings-John Rebecca R Angel Lianna L Moody Gwenllian G Segrott Jeremy J Kenkre Joyce J Robling Michael M

Pilot and feasibility studies 20180628

<h4>Background</h4>Follow-up for public health trials may benefit from greater use of routine data. Our trial of a home-visiting intervention for first-time teenage mothers assessed outcomes to the child's second birthday. To examine its medium-term impact, particularly upon maltreatment outcomes, we designed a study using routine records.<h4>Methods</h4>We aimed to establish the feasibility of our study design, which combines trial data with routine health, social care and education data using ...[more]

PMID: 29988307

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Project description:IntroductionChild maltreatment involves acts of omission (neglect) or commission (abuse) often by caregivers that results in potential or actual harm to a child. The Building Blocks trial (ISRCTN23019866) assessed the short-term impact of an intensive programme of antenatal and postnatal visiting by specially trained nurses to support young pregnant women in England. The Building Blocks: 2-6 Study will assess the medium-term impacts of the programme for mothers and children (n=1562), through the linkage of routinely collected data to the trial data, with a particular emphasis on the programme's impact on preventing child maltreatment.Methods and analysisWe have developed a bespoke model of data linkage whereby outcome data for the trial cohort will be retrieved by linked anonymous data abstraction from NHS Digital, Office for National Statistics and the Department for Education's National Pupil Database. Participants will be given reasonable opportunity to opt out of this study prior to data transfer. The information centres will match participants to the information held in their databases using standard identifiers and send extracts to a third-party safe haven. The study will have 80% power to detect a 4% difference (4%vs8%) for the binary primary outcome of child in need status (from birth to key stage 1) at a two-sided 5% alpha level by following up 602 children in each trial arm. Analysis will be by intention to treat using logistic multilevel modelling. A cost-and-consequences analysis will extend the time frame of the economic analysis from the original trial.Ethics and disseminationThe study protocol has been approved by the National Health Service Wales Research Ethics Committee and the Health Research Authority's Confidentiality Advisory Group. Methods of innovative study design and findings will be disseminated through peer-reviewed journals and conferences; results will be of interest to clinical and policy stakeholders in the UK.Trial registration numberISRCTN23019866.

Project description:BACKGROUND:Maternal depression is common among low-income women enrolled in home visiting programs, yet there is considerable variability in the extent to which it is identified and addressed. This study examines outcomes related to postpartum depression screening, receipt of evidence-based services, and reductions in depressive symptoms among clients of home visiting programs in the Health Resources and Services Administration's Maternal, Infant, and Early Childhood Home Visiting Program Home Visiting Collaborative Improvement and Innovation Network (HV CoIIN), the first U.S. national application of the Institute for Healthcare Improvement's Breakthrough Series (BTS) Model in home visiting programs. METHODS AND FINDINGS:Fourteen home visiting programs in eight states, serving a geographically and racially diverse caseload of pregnant women and new mothers, took part in the HV CoIIN. Women in participating home visiting programs received the intervention strategies implemented by their program during participation in the collaborative. HV CoIIN strategies included specific policies and protocols for depression screening and home visitor response to screening results; home visitor training and supervision; delivery of prevention and treatment interventions; and tracking systems for screening, referral, and follow-up. HV CoIIN's proposed primary outcome was that 85% of women who accessed evidence-based services would experience a 25% reduction in depressive symptoms three months after accessing services. Secondary outcomes included an increased percentage of women who were screened for depression within three months of enrollment or birth, who verbally accepted a referral to evidence-based services, and who received one or more evidence-based service contacts. HV CoIIN resulted in improved symptoms among women who accessed services, from 51.1% to 59.9%. HV CoIIN also improved the percent of women screened for depression, from 83.6% to 96.3%, and those with positive depression screens who accessed evidence-based services, from 41.6% to 65.5%. Home visiting programs in this study were early adopters of quality improvement activities, which may limit the generalizability of these results to other home visiting programs. CONCLUSIONS:Home visiting programs can play an important role in closing gaps in maternal depression identification, referrals, service access, and symptom alleviation. Continuous quality improvement and BTS collaborative methods can be used to improve home visiting services in ways that advance national public health priorities and improve population health outcomes.

Dataset Information

Assessing the impact of specialist home visiting upon maltreatment in England: a feasibility study of data linkage from a public health trial to routine health and social care data.

Background

Methods

Results

Conclusions

Publications

Assessing the impact of specialist home visiting upon maltreatment in England: a feasibility study of data linkage from a public health trial to routine health and social care data.

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