Evidence map›Paper›PMID 38448869›Full record

ArticleBMC public health2024

Reintroducing face-to-face support alongside remote support to form a hybrid stop smoking service in England: a formative mixed methods evaluation.

Nicholas Woodrow, Duncan Gillespie, Liz Kitchin, Mark O'Brien, Scott Chapman, Nai Rui Chng, Andrew Passey, Maria Raisa Jessica Aquino, Zoe Clarke, Elizabeth Goyder

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nicholas Woodrow *Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK. n.woodrow@sheffield.ac.uk.
Duncan Gillespie *Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK.
Liz KitchinSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK.
Mark O'BrienLiving Well Smokefree Service, North Yorkshire Council, York, UK.
Scott ChapmanLiving Well Smokefree Service, North Yorkshire Council, York, UK.
Nai Rui ChngMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Andrew PasseySchool of Health, Leeds Beckett University, LS1 3HE, Leeds, UK.
Maria Raisa Jessica AquinoPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Zoe ClarkeSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK.
Elizabeth GoyderSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK.

Funding

National Institute of Health and Care Research (NIHR) [Public Health Research Programme]. (NIHR133202/PHIRST)
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, United Kingdom (UK) stop smoking services had to shift to remote delivery models due to social distancing regulations, later reintroducing face-to-face provision. The "Living Well Smokefree" service in North Yorkshire County Council adopted a hybrid model offering face-to-face, remote, or a mix of both. This evaluation aimed to assess the hybrid approach's strengths and weaknesses and explore potential improvements.

methodsConducted from September 2022 to February 2023, the evaluation consisted of three components. First, qualitative interviews involved 11 staff and 16 service users, analysed thematically. Second, quantitative data from the QuitManager system that monitored the numbers and proportions of individuals selecting and successfully completing a 4-week quit via each service option. Third, face-to-face service expenses data was used to estimate the value for money of additional face-to-face provision. The qualitative findings were used to give context to the quantitative data via an "expansion" approach and complementary analysis.

resultsOverall, a hybrid model was seen to provide convenience and flexible options for support. In the evaluation, 733 individuals accessed the service, with 91.3% selecting remote support, 6.1% face-to-face, and 2.6% mixed provision. Remote support was valued by service users and staff for promoting openness, privacy, and reducing stigma, and was noted as removing access barriers and improving service availability. However, the absence of carbon monoxide monitoring in remote support raised accountability concerns. The trade-off in "quantity vs. quality" of quits was debated, as remote support reached more users but produced fewer carbon monoxide-validated quits. Primarily offering remote support could lead to substantial workloads, as staff often extend their roles to include social/mental health support, which was sometimes emotionally challenging. Offering service users a choice of support options was considered more important than the "cost-per-quit". Improved dissemination of information to support service users in understanding their options for support was suggested.

conclusionsThe hybrid approach allows smoking cessation services to evaluate which groups benefit from remote, face-to-face, or mixed options and allocate resources accordingly. Providing choice, flexible provision, non-judgmental support, and clear information about available options could improve engagement and match support to individual needs, enhancing outcomes.

Indexed as

Carbon MonoxidePandemicsEnglandHumansSmokingTobacco SmokingCarbon MonoxideEquityHybridRemoteService reorganisationSmoking cessation

Identifiers

PMID38448869
PMCPMC10916048

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.