title: What impact do anxiety, depression, perceived control and technology capability have on whether patients with chronic heart failure take-up or continue to use home tele-monitoring services? Study design of ADaPT-HF.
abstract: Home tele-monitoring (HTM) is used to monitor the clinical signs and symptoms of patients with chronic heart failure (CHF) in order to reduce unplanned hospital admissions. However, not all patients who are referred will agree to use HTM, and some patients choose to withdraw early from its use.
  
  
  
  ADaPT-HF will investigate whether depression, anxiety, low perceived control, reduced technology capability, level of education, age or the severity or complexity of a patient's illness can predict refusal of, or early withdrawal from, HTM in patients with CHF.
  
  
  
  The study will recruit 288 patients who have been recently admitted to hospital with heart failure who have been referred for HTM. At the time of referral, patients will complete depression (nine-item Patient Health Questionnaire), anxiety (seven-item Generalised Anxiety Disorder questionnaire), perceived control (eight-item revised Controlled Attitudes Scale) and technology capability (ten-item Technology Readiness Index 2.0) screening questionnaires. In addition, data on demographics, diagnosis, clinical examination, socio-economic status, history of comorbidities, medication, biochemistry and haematology will be recorded. The primary outcome will be a composite of refusal of or early withdrawal from HTM. The principle analysis will be made using logistic regression.
  
  
  
  By establishing which factors influence a patient's decision to refuse or withdraw early from HTM, it may be possible to redesign HTM referral processes. It may be that patients with CHF who also have depression, anxiety, low control and poor technology skills should not be referred until they receive appropriate support or that they should be managed differently when they do receive HTM. The results of ADAPT-HF may provide a way of making more efficient and cost-effective use of HTM services.
authors.affiliation: 1 Faculty of Health and Social Care, University of Hull, Hull, UK.|2 Hull and York Medical School, University of Hull, Hull, UK.
authors.forename: Amanda
authors.initials: A
authors.lastname: Crundall-Goode
authors.affiliation: 2 Hull and York Medical School, University of Hull, Hull, UK.
authors.forename: Kevin M
authors.initials: KM
authors.lastname: Goode
authors.affiliation: 2 Hull and York Medical School, University of Hull, Hull, UK.
authors.forename: Andrew L
authors.initials: AL
authors.lastname: Clark
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001007:Anxiety; D001292:Attitude to Computers; D002908:Chronic Disease / Q000523:psychology*; D003863:Depression; D005260:Female; D006333:Heart Failure / Q000523:psychology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000523:psychology*; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D017216:Telemedicine
keywords: Anxiety; depression; heart failure; home tele-monitoring; perceived control; technology capability