Evidence map›Paper›PMID 28049527›Full record

Observational studyBMC complementary and alternative medicine2017

Predicting adherence to acupuncture appointments for low back pain: a prospective observational study.

Felicity L Bishop, Lucy Yardley, Cyrus Cooper, Paul Little, George Lewith

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC complementary and alternative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.3field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Felicity L BishopPsychology, Faculty of Social and Human Sciences, University of Southampton, Building 44 Highfield Campus, Southampton, SO17 1BJ, UK. F.L.Bishop@soton.ac.uk.
Lucy YardleyPsychology, Faculty of Social and Human Sciences, University of Southampton, Building 44 Highfield Campus, Southampton, SO17 1BJ, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK.
Paul LittlePrimary Care and Population Sciences, Aldermoor Health Centre, University of Southampton, Southampton, SO16 5ST, UK.
George LewithPrimary Care and Population Sciences, Aldermoor Health Centre, University of Southampton, Southampton, SO16 5ST, UK.
University of Southampton · GBMRC Lifecourse Epidemiology Unit · GB

Funding

Medical Research Council G0400491Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1Versus Arthritis 18099
6 · The paper itself

Abstract

backgroundAcupuncture is a popular form of complementary and alternative medicine (CAM), but it is not clear why patients do (or do not) follow acupuncturists' treatment recommendations. This study aimed to investigate theoretically-derived predictors of adherence to acupuncture.

methodsIn a prospective study, adults receiving acupuncture for low back pain completed validated questionnaires at baseline, 2 weeks, 3 months, and 6 months. Patients and acupuncturists reported attendance. Logistic regression tested whether illness perceptions, treatment beliefs, and treatment appraisals measured at 2 weeks predicted attendance at all recommended acupuncture appointments.

resultsThree hundred twenty-four people participated (aged 18-89 years, M = 55.9, SD = 14.4; 70% female). 165 (51%) attended all recommended acupuncture appointments. Adherence was predicted by appraising acupuncture as credible, appraising the acupuncturist positively, appraising practicalities of treatment positively, and holding pro-acupuncture treatment beliefs. A multivariable logistic regression model including demographic, clinical, and psychological predictors, fit the data well (χ

conclusionsThe results partially support the dynamic extended common-sense model for CAM use. As hypothesised, attending all recommended acupuncture appointments was predicted by illness perceptions, treatment beliefs, and treatment appraisals. However, experiencing early changes in symptoms did not predict attendance. Acupuncturists could make small changes to consultations and service organisation to encourage attendance at recommended appointments and thus potentially improve patient outcomes.

Indexed as

Acupuncture TherapyAcupuncture PointsAdolescentAdultAgedAged, 80 and overAppointments and SchedulesComplementary TherapiesFemaleHumansLow Back PainMaleMiddle AgedPatient CompliancePatientsProspective StudiesAcupunctureAdherenceBack painHealth knowledge, Attitudes, PracticeIllness perceptionsTreatment beliefs

Identifiers

PMID28049527
PMCPMC5209924
OpenAlexW2560978096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.