| Literature DB >> 31388598 |
Edward Caldow1, Andrew Findlow1, Malcolm Granat1, Mariyana Schoultz1.
Abstract
INTRODUCTION: Current UK guidance for the treatment of intermittent claudication (IC) states that supervised exercise programmes (SEPs) should be offered as first-line treatment [1], prior to surgical interventions. However, there is currently a national shortage of dedicated SEPs. It has been suggested that the established network of UK Cardiac Rehabilitation (CR) programmes could cater for IC patients. This study will investigate the feasibility of combining IC and CR patients into one SEP, and explore the patient perception's regarding the treatment programme, to establish whether CR could potentially fill the gap in service provision. METHODS AND ANALYSIS: Patients diagnosed with IC will be incorporated into a CR programme where they will exercise alongside patients with coronary artery disease (CAD). Participants will attend a 2-h class, once a week for a total of 12 weeks. Another group of IC patients will attend an SEP consisting solely of other IC patients (control group). OUTCOME MEASURES: The study will evaluate the feasibility of recruitment, retention, and participant experience of the intervention as well as physiological outcomes (primary outcome: pain-free walking, and maximal walking distance; secondary outcomes: physical activity levels, perceived walking ability, and disease-specific quality of life). Outcomes will be assessed at baseline and on completion of the SEP. ETHICS AND DISSEMINATION: Ethical approval for this study was obtained from North West- Greater Manchester West Research Ethics Committee on 13th June 2018 (IRAS ID: 230391). This study is registered with clinicaltrials. gov (NCT03564080) and conforms to the Declaration of Helsinki. Results will be disseminated via national conferences and published in peer-reviewed journals.Entities:
Keywords: Cardiac rehabilitation; Coronary artery disease; Feasibility; Intermittent claudication; Supervised exercise programmes
Year: 2019 PMID: 31388598 PMCID: PMC6675947 DOI: 10.1016/j.conctc.2019.100389
Source DB: PubMed Journal: Contemp Clin Trials Commun ISSN: 2451-8654
Fig. 1Mixed methods study design overview.
Fig. 2Flowchart of study. This shows the outline of the 12-week study with the 3 groups involved.
This table provides a summary of quantitative outcome measures and the time-point at which they will be recorded.
| Quantities subjected to post hoc analysis | |
|---|---|
| Quantity | Time of measure (weeks) |
| Demographic | |
| Sex (M/F) | BL |
| Age (years) | BL |
| Clinical | |
| Blood Pressure (mmHg) | BL, 12 weeks |
| Resting Heart rate (bpm) | BL, 12 weeks |
| Height (m), Weight (kg), BMI(kg.m2) | BL, 12 weeks |
| Waist circumference (cm) | BL, 12 weeks |
| Medication | BL, 12 weeks |
| Physical Funtioning | |
| Graded Treadmill Test (GTT) | BL, 12 weeks |
| 7-day activity monitoring | BL, 12 weeks |
| Questionnaires | |
| VascuQol (PAD only group) | BL, 12 weeks |
| Hospital Anxiety and Depression Scale (HADS) | BL, 12 weeks |
| Walking Impairment Questnnaires (WIQ) | BL, 12 weeks |
BL, Baseline; PAD, peripheral artery disease.
Fig. 3Contraindications for outpatient cardiac rehabilitation - american college of sports medicine [21].
Fig. 4This shows the Intermittent Claudication Rating Scale which will be used by patients to grade the amount of claudication pain they experience during the GTT and SEP. Taken from ACCPVR Guidelines for Cardiac Rehabilitation and Secondary Prevention Programs (2013).
This table outlines the steps taken in the thematic analysis of the focus group data. Taken from: Braun & Clarke, (2006) Using thematic analysis in psychology. Qualitative Research in Psychology. 3: pp77-101.
| Phase | Description of the process |
|---|---|
| 1. Familiarizing yourself with your data: | Transcribing data (if necessary), reading and re-reading the data, noting down initial ideas. |
| 2. Generating initial codes: | Coding interesting features of the data in a systematic fashion across the entire data set, collating data relevant to each code. |
| 3. Searching for themes: | Collating codes into potential themes, gathering all data relevant to each potential theme. |
| 4. Reviewing themes: | Checking if the themes work in relation to the coded extracts (Level 1) and the entire data set (Level 2), generating a thematic ‘map’ of the analysis. |
| 5. Defining and naming themes: | Ongoing analysis to refine the specifics of each theme, and the overall story the analysis tells, generating clear definitions and names for each theme. |
| 6. Producing the report: | The final opportunity for analysis. Selection of vivid, compelling extract examples, final analysis of selected extracts, relating back of the analysis to the research question and literature, producing a scholarly report of the analysis. |