Predicting GP visits: A multinomial logistic regression investigating GP visits amongst a cohort of UK patients living with Myalgic encephalomyelitis.

R Stephen Walsh, Andrew Denovan, Kenneth Drinkwater, Sean Reddington, Neil Dagnall
Author Information
  1. R Stephen Walsh: Manchester Metropolitan University, Manchester, UK. r.walsh@mmu.ac.uk. ORCID
  2. Andrew Denovan: Manchester Metropolitan University, Manchester, UK.
  3. Kenneth Drinkwater: Manchester Metropolitan University, Manchester, UK.
  4. Sean Reddington: Manchester Metropolitan University, Manchester, UK.
  5. Neil Dagnall: Manchester Metropolitan University, Manchester, UK.

Abstract

BACKGROUND: Myalgic Encephalomyelitis (ME) is a chronic condition whose status within medicine is the subject of on-going debate. Some medical professionals regard it as a contentious illness. Others report a lack of confidence with diagnosis and management of the condition. The genesis of this paper was a complaint, made by an ME patient, about their treatment by a general practitioner. In response to the complaint, Healthwatch Trafford ran a patient experience-gathering project.
METHOD: Data was collected from 476 participants (411 women and 65 men), living with ME from across the UK. Multinomial logistic regression investigated the predictive utility of length of time with ME; geographic location (i.e. Manchester vs. rest of UK); trust in GP; whether the patient had received a formal diagnosis; time taken to diagnosis; and gender. The outcome variable was number of GP visits per year.
RESULTS: All variables, with the exception of whether the patient had received a formal diagnosis, were significant predictors.
CONCLUSIONS: Relationships between ME patients and their GPs are discussed and argued to be key to the effective delivery of care to this patient cohort. Identifying potential barriers to doctor patient interactions in the context of ME is crucial.

Keywords

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MeSH Term

Ambulatory Care
Attitude of Health Personnel
Attitude to Health
Communication Barriers
Disease Management
Fatigue Syndrome, Chronic
Female
General Practitioners
Humans
Male
Middle Aged
Patient Preference
Physician-Patient Relations
Trust
United Kingdom

Word Cloud

Created with Highcharts 10.0.0MEpatientGPMyalgicdiagnosisUKvisitsconditioncomplaintpractitionerlivinglogisticregressiontimewhetherreceivedformalpatientscohortencephalomyelitisBACKGROUND:Encephalomyelitischronicwhosestatuswithinmedicinesubjecton-goingdebatemedicalprofessionalsregardcontentiousillnessOthersreportlackconfidencemanagementgenesispapermadetreatmentgeneralresponseHealthwatchTraffordranexperience-gatheringprojectMETHOD:Datacollected476participants411women65menacrossMultinomialinvestigatedpredictiveutilitylengthgeographiclocationieManchestervsresttrusttakengenderoutcomevariablenumberperyearRESULTS:variablesexceptionsignificantpredictorsCONCLUSIONS:RelationshipsGPsdiscussedarguedkeyeffectivedeliverycareIdentifyingpotentialbarriersdoctorinteractionscontextcrucialPredictingvisits:multinomialinvestigatingamongstChronicfatiguesyndromeCFSGeneral

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