Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27895
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dc.contributor.authorHarris, Tessen_UK
dc.contributor.authorKerry, Sallyen_UK
dc.contributor.authorVictor, Christinaen_UK
dc.contributor.authorIliffe, Steveen_UK
dc.contributor.authorUssher, Michaelen_UK
dc.contributor.authorFox-Rushby, Juliaen_UK
dc.contributor.authorWhincup, Peteren_UK
dc.contributor.authorEkelund, Ulfen_UK
dc.contributor.authorFurness, Cherylen_UK
dc.contributor.authorLimb, Elizabethen_UK
dc.contributor.authorAnokye, Nanaen_UK
dc.contributor.authorIbison, Judithen_UK
dc.contributor.authorDeWilde, Stephenen_UK
dc.contributor.authorDavid, Leeen_UK
dc.contributor.authorHoward, Emmaen_UK
dc.date.accessioned2018-10-04T00:00:49Z-
dc.date.available2018-10-04T00:00:49Z-
dc.date.issued2018-07-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27895-
dc.description.abstractBackground Guidelines recommend walking to increase moderate to vigorous physical activity (MVPA) for health benefits. Objectives To assess the effectiveness, cost-effectiveness and acceptability of a pedometer-based walking intervention in inactive adults, delivered postally or through dedicated practice nurse physical activity (PA) consultations. Design Parallel three-arm trial, cluster randomised by household. Setting Seven London-based general practices. Participants A total of 11,015 people without PA contraindications, aged 45–75 years, randomly selected from practices, were invited. A total of 6399 people were non-responders, and 548 people self-reporting achieving PA guidelines were excluded. A total of 1023 people from 922 households were randomised to usual care (n = 338), postal intervention (n = 339) or nurse support (n = 346). The recruitment rate was 10% (1023/10,467). A total of 956 participants (93%) provided outcome data. Interventions Intervention groups received pedometers, 12-week walking programmes advising participants to gradually add ‘3000 steps in 30 minutes’ most days weekly and PA diaries. The nurse group was offered three dedicated PA consultations. Main outcome measures The primary and main secondary outcomes were changes from baseline to 12 months in average daily step counts and time in MVPA (in ≥ 10-minute bouts), respectively, from 7-day accelerometry. Individual resource-use data informed the within-trial economic evaluation and the Markov model for simulating long-term cost-effectiveness. Qualitative evaluations assessed nurse and participant views. A 3-year follow-up was conducted. Results Baseline average daily step count was 7479 [standard deviation (SD) 2671], average minutes per week in MVPA bouts was 94 minutes (SD 102 minutes) for those randomised. PA increased significantly at 12 months in both intervention groups compared with the control group, with no difference between interventions; additional steps per day were 642 steps [95% confidence interval (CI) 329 to 955 steps] for the postal group and 677 steps (95% CI 365 to 989 steps) for nurse support, and additional MVPA in bouts (minutes per week) was 33 minutes per week (95% CI 17 to 49 minutes per week) for the postal group and 35 minutes per week (95% CI 19 to 51 minutes per week) for nurse support. Intervention groups showed no increase in adverse events. Incremental cost per step was 19p and £3.61 per minute in a ≥ 10-minute MVPA bout for nurse support, whereas the postal group took more steps and cost less than the control group. The postal group had a 50% chance of being cost-effective at a £20,000 per quality-adjusted life-year (QALY) threshold within 1 year and had both lower costs [–£11M (95% CI –£12M to –£10M) per 100,000 population] and more QALYs [759 QALYs gained (95% CI 400 to 1247 QALYs)] than the nurse support and control groups in the long term. Participants and nurses found the interventions acceptable and enjoyable. Three-year follow-up data showed persistent intervention effects (nurse support plus postal vs. control) on steps per day [648 steps (95% CI 272 to 1024 steps)] and MVPA bouts [26 minutes per week (95% CI 8 to 44 minutes per week)]. Limitations The 10% recruitment level, with lower levels in Asian and socioeconomically deprived participants, limits the generalisability of the findings. Assessors were unmasked to the group. Conclusions A primary care pedometer-based walking intervention in 45- to 75-year-olds increased 12-month step counts by around one-tenth, and time in MVPA bouts by around one-third, with similar effects for the nurse support and postal groups, and persistent 3-year effects. The postal intervention provides cost-effective, long-term quality-of-life benefits. A primary care pedometer intervention delivered by post could help address the public health physical inactivity challenge. Future work Exploring different recruitment strategies to increase uptake. Integrating the Pedometer And Consultation Evaluation-UP (PACE-UP) trial with evolving PA monitoring technologies.en_UK
dc.language.isoenen_UK
dc.publisherNational Institute for Health Researchen_UK
dc.relationHarris T, Kerry S, Victor C, Iliffe S, Ussher M, Fox-Rushby J, Whincup P, Ekelund U, Furness C, Limb E, Anokye N, Ibison J, DeWilde S, David L & Howard E (2018) A pedometer-based walking intervention in 45- to 75-year-olds, with and without practice nurse support: the PACE-UP three-arm cluster RCT. Health Technology Assessment, 22 (37), pp. 1-274. https://doi.org/10.3310/hta22370en_UK
dc.rightsPermission to reproduce material from this published report is covered by the UK government’s non-commercial licence for public sector information: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/en_UK
dc.rights.urihttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/en_UK
dc.subjectHealth Policyen_UK
dc.titleA pedometer-based walking intervention in 45- to 75-year-olds, with and without practice nurse support: the PACE-UP three-arm cluster RCTen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3310/hta22370en_UK
dc.identifier.pmid29961442en_UK
dc.citation.jtitleHealth Technology Assessmenten_UK
dc.citation.issn2046-4924en_UK
dc.citation.issn1366-5278en_UK
dc.citation.volume22en_UK
dc.citation.issue37en_UK
dc.citation.spage1en_UK
dc.citation.epage274en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderHealth Technology Assessment Programmeen_UK
dc.description.notesAdditional co-authors: Rebecca Dale, Jaime Smith, Rebecca Normansell, Carole Beighton, Katy Morgan, Charlotte Wahlich, Sabina Sanghera, Derek Cooken_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationQueen Mary, University of Londonen_UK
dc.contributor.affiliationBrunel Universityen_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationBrunel Universityen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationNorwegian School of Sport Sciencesen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationBrunel Universityen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.contributor.affiliation10 Minute CBTen_UK
dc.contributor.affiliationSt George's, University of Londonen_UK
dc.identifier.isiWOS:000436787000001en_UK
dc.identifier.scopusid2-s2.0-85049615262en_UK
dc.identifier.wtid1011959en_UK
dc.contributor.orcid0000-0002-8671-1553en_UK
dc.contributor.orcid0000-0002-7181-9107en_UK
dc.contributor.orcid0000-0002-4213-3974en_UK
dc.contributor.orcid0000-0003-2806-3997en_UK
dc.contributor.orcid0000-0002-0995-7955en_UK
dc.contributor.orcid0000-0003-0748-0871en_UK
dc.contributor.orcid0000-0002-5589-4107en_UK
dc.contributor.orcid0000-0003-2115-9267en_UK
dc.contributor.orcid0000-0001-8335-8005en_UK
dc.contributor.orcid0000-0003-0830-7376en_UK
dc.contributor.orcid0000-0003-3615-344Xen_UK
dc.contributor.orcid0000-0002-2599-6575en_UK
dc.contributor.orcid0000-0002-4238-4474en_UK
dc.contributor.orcid0000-0001-5319-6156en_UK
dc.contributor.orcid0000-0002-4947-4595en_UK
dc.date.accepted2017-11-30en_UK
dcterms.dateAccepted2017-11-30en_UK
dc.date.filedepositdate2018-10-03en_UK
rioxxterms.apcnot chargeden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorHarris, Tess|0000-0002-8671-1553en_UK
local.rioxx.authorKerry, Sally|0000-0002-7181-9107en_UK
local.rioxx.authorVictor, Christina|0000-0002-4213-3974en_UK
local.rioxx.authorIliffe, Steve|0000-0003-2806-3997en_UK
local.rioxx.authorUssher, Michael|0000-0002-0995-7955en_UK
local.rioxx.authorFox-Rushby, Julia|0000-0003-0748-0871en_UK
local.rioxx.authorWhincup, Peter|0000-0002-5589-4107en_UK
local.rioxx.authorEkelund, Ulf|0000-0003-2115-9267en_UK
local.rioxx.authorFurness, Cheryl|0000-0001-8335-8005en_UK
local.rioxx.authorLimb, Elizabeth|0000-0003-0830-7376en_UK
local.rioxx.authorAnokye, Nana|0000-0003-3615-344Xen_UK
local.rioxx.authorIbison, Judith|0000-0002-2599-6575en_UK
local.rioxx.authorDeWilde, Stephen|0000-0002-4238-4474en_UK
local.rioxx.authorDavid, Lee|0000-0001-5319-6156en_UK
local.rioxx.authorHoward, Emma|0000-0002-4947-4595en_UK
local.rioxx.project10/32/02|Health Technology Assessment Programme|en_UK
local.rioxx.freetoreaddate2018-10-03en_UK
local.rioxx.licencehttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/|2018-10-03|en_UK
local.rioxx.filename3014657.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2046-4924en_UK
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