Treatment Changes Study Sample Clauses

Treatment Changes Study. The patients in the treatment changes study all met the 1987 ACR criteria for RA and were attending outpatient departments in South East London in either a large teaching hospital or a district general hospital. Patients were consecutive attendees at the rheumatology departments in each hospital. This was a cross-sectional study with data collected over a two year span. Patients were receiving routine clinical care. Healthcare Professionals Focus Group N=6 KCH and Southwark PCT RA Patient Focus Group 2 N=5 KCH RA Patient Focus Group 1 N=6 KCH Figure 2:1 Summary Of Participants’ Included In The Study IDENTIFYING LIMITATIONS OF CURRENT CARE GP Individual Interviews N=13 Lambeth PCT, Southwark PCT, Lewisham PCT Secondary Care Healthcare Professional Individual Interviews N=15 KCH, XXX, GSTT RA Patients Individual Interviews N=26 KCH, XXX Carers N=11 KCH, XXX Standards of Care Survey and Initial Satisfaction survey (Tijhuis) N=100 KCH Second Satisfaction Survey (Hill) N=100 KCH Patient Group Survey N=60 KCH FATIGUE IN RA Clinical Association Studies Initial Fatigue Association Study N=238 KCH Alternative Measure Fatigue Study N=274 KCH, XXX Treatment Effects Study Early RA N=395* ERAN Network Established RA N=84 KCH Fatigue Measurements Study RA Patients N=105§ KCH FIBROMYALGIC RA AND PAIN THRESHOLDS IN RA Initial Fibromyalgic RA and Pain Threshold Study N=105§ KCH Replicate Fibromyalgic RA Study in Established RA N=321 KCH, XXX, GSTT, Woolwich Replicate Fibromyalgic RA Study in Early RA N=395* ERAN network UNDERSTANDING TREATMENT DECISIONS Temporal Changes Study N=987 (1997 – 202; 2003 – 300; 2006 – 105; 2008 – 71; 2010 – 309) KCH, XXX Treatment Changes Study N=482 KCH, XXX * This represents the same group of patients § This represents the same group of patients KCH – King’s College Hospital; XXX – University Hospital Lewisham; GSTT – Guy’s and St Thomas’s Trust; Woolwich – Woolwich Hospital ERAN Network – A network of British rheumatology departments who collect & monitor clinical details on all early RA patients in a standard way in order to assess outcome in the long term on a national basis.
Sample 1
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Treatment Changes Study. Data analysis was done by the Statistical Package for the Social Sciences (SPSS for Windows 16). Simple descriptive analyses were applied to all data. Patients were divided by DAS28 categories into four groups: Remission (DAS28<2.6), low disease activity (DAS28 2.6 to <3.2), moderate disease activity (DAS28 3.2 to <5.1) and high disease activity (DAS28 ≥5.1). For each category the percentage of patients who had a treatment change was calculated. In those with high disease activity (DAS28≥5.1) the rate of treatment change was examined further and patients were divided further into five groups according to DAS28. These groups comprised DAS28 of 5.1-5.5, DAS28 of 5.5 to 6.0, DAS28 of 6.0-6.5, DAS28 of 6.5-7.0 and those with a DAS28 of over 7.0. Again percentages of patients who had a treatment change were calculated for each group. The percentage for each type of treatment change was also calculated for each DAS28 category. To determine what influenced treatment changes binary regression was performed for each variable (univariate analysis) and reported as odds ratios (as there were categorical and continuous variables). Any variable which showed significance (p≤0.05) at this level was carried forward into the multivariate analysis and the odds ratios are reported. Two models were analysed, firstly DAS28 was used as a measure of disease activity and its constituents were excluded. In the second model the four constituents of the DAS28 (tender joint count, swollen joint count, ESR and patient global assessment) were included and the DAS28 composite measure was excluded. Patients were categorised as fibromyalgic and non-fibromyalgic RA (Tender minus swollen joint counts) to explore the effect of fibromyalgic RA on treatment decisions, patients were grouped into fibromyalgic and non-fibromyalgic RA. Chi- squared testing was then used to determine any if there were differences between groups in treatment changes and also the kind of treatment change that was initiated. To explore the effect of age on treatment decisions, patients were placed into three categories; under 45 years, 45-65 years and over 65 years. The effect of age of onset on treatments decisions was also explored: patients were again placed into three categories depending on age at onset of disease; under 45 years, 45-65 years and over 65 years at onset of disease. Chi-squared testing was then used to determine any if there were differences between groups in treatment changes and also the kind of t...
Sample 1

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