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Viva-Voce Presentation 2011 CRP Study 2008-2010 Date: 21 st  April 2011 Time: 3.00pm Venue: USM
ASSESSMENT OF ECONOMIC, CLINICAL AND HUMANISTIC OUTCOMES OF PATIENTS WITH ACUTE CORONARY SYNDROME IN THE CARDIAC REHABILITATION PROGRAM   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
General Phases in Cardiac Rehabilitation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],American Association of Cardiovascular & Pulmonary Rehabilitation.  AACVPR Cardiac Rehabilitation Resource Manual  (2006).  USA, Human Kinetics, Library of Congress. Web site: http://www.humakinetics.com/
Outline of CRP
Phase I, Stage I CRP (First assessment) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/05/11 5th Biennial Meeting on Cardiopulmonary Bypass
Phase I, Stage II CRP (CTW) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phase I, Stage III Bed side and discharge counselling  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phase II CRP Group counseling (The ideal) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Problem Statements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study Objectives ,[object Object],[object Object],[object Object]
METHODOLOGY
Measurement for Interventional Outcomes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Brazier,  J. E., Dixon, S., & Ratcliffe, J. (2009). The role of patient preferences in cost-effectiveness analysis: a conflict of values? PharmacoEconomics, 27(9), 705-712.  Van Stel,  H., & Buskens, E. (2006). Comparison of the SF-6D and the EQ-5D in patients with coronary heart disease.  Health and Quality of Life Outcomes, 4(1), 20
Methodology:  Data collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CCRP CONTROL MCRP Inpatient Outpatient
EQ-5D Utility Score A Comparison of  Preference-based from EQ-5D and SF-36 SF-6D program in SPSS by Sheffield University ScHARR  Estimating a preference-based index from the SF-6D SF-36 SF-6D Utility Score
Statistical Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RESULTS
Screening and Recruitment process from  Jan-Dec 2008
At baseline there were no difference in demographic, socioeconomic background, or physical characteristic data
Clinical & Physical Characteristic
[object Object],[object Object],Baseline  vs. Malaysian Norms  by  Azman et al., (2003)  * Six months assessment *  Azman A.B ., Sararaks S., Rugayah B., Low L.L., Azian A.A., Geeta S., Tiew C.T. (2003). Quality of life of the Malaysian general population: Results from a postal survey using the SF-36. Med J Malaysia, 58(5):694-711
[object Object],[object Object],[object Object],Baseline 12-months assessment
Nnot MCRP
M inimal  C linically  I mportant  D ifference (MCID) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tubach, F., Giraudeau, B., & Ravaud, P. (2009).  The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates. Journal of Clinical Epidemiology, 62(7), 725-728.
Mean Differences after 12 months follow up (MCID of 20 points)
MCRP  CCRP  control r =  0.805, p<0.01
ICER = Incremental cost annually /  Incremental Utility Score  How much it cost (unit per health benefit)?
[object Object]
MCRP group
Bar chart of compliance score for 6- and 12-month follow-up ,[object Object],[object Object]
Individual and combined outcome measures of the primary end point at 12 months follow-up in the three groups ,[object Object]
Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object]
CONCLUSION
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Strength Of This Study ,[object Object],[object Object],[object Object],[object Object]
Suggestion for future research: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recommendations ,[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THANK YOU Sarawak General Hospital It is not the number that count, but the heart….

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CARDIAC REHABILITATION IN SARAWAK GENERAL HOSPITAL IN MALAYSIA Research Area: (FCA 701/ 48), Cardiovascular Pharmacy, Reference No under NIH KKM MRG-2007-11 Viva lawrence 2011

Editor's Notes

  1. Retrieving previous history of medication- home, GP, herbal, supplements and so forth. Brief of his/her condition and what have been done Early education of medication given: IV administration, Enoxaparin, infusion GTN, Dopamine, Dobutamine, Midazolam, Morphine, drips, Heparin, amiodarone etc. Oral medication : aspirin, metoprolol, ACEinhibitor, statin, warfarin Early intervention of Side effect of drugs administered. Such as Aspirin, Heparin, Amiodarone, Enoxaparin
  2. BRUM study. Nonadherence to prescribed medications bypatients with coronary heart disease (CHD) is associated with an increased incidence of adverse cardiovascular events, but it is not known whether self-reported nonadherence can identify patients at greatest risk of such events. Nonadherence to physician treatment recommendations is an increasingly recognized cause of adverse outcomes and increased health care costs, particularly among patients with cardiovascular disease
  3. Clinical &amp; Physical Characteristic
  4. Several dimensions of HRQOL measures were found inproved in MCRP. Comparison of mean difference from baseline MCRP (+10.57; 95%CI: -2.09, 23.23) Reported less bodily pain (BP) than CCRP (+3.72, 95%CI:-8.94, 16.39) and Control (-4.16, 95%CI: -14.92, 6.59).
  5. Results For a 0-100 score and MCID values from -40 to -10, the difference in success rate between arms ranges from 7.9% to 9.9% (ES = 0.25) and from 15.9% to 19.7% (ES = 0.50). For PASS values from 20 to 50, the difference in success rate between arms ranges from 7.1% to 9.9% (ES = 0.25) and from 15.6% to 19.7% (ES = 0.50).Conclusion The MCID or PASS value has a low impact on the difference in the success rate between the arms in a trial. Tubach, F., Giraudeau, B., &amp; Ravaud, P. (2009). The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates. Journal of Clinical Epidemiology, 62(7), 725-728. The minimal important difference (MID), from the patient perspective, can be defined as &amp;quot;the smallest difference in score in the domain of interest which patients perceive as beneficial and which would cause clinicians to consider a change in patient&apos;s management&amp;quot;. (Jaeschke et al., 1989; Fayers &amp; Machin, 2007).
  6. BRUM study. Nonadherence to prescribed medications bypatients with coronary heart disease (CHD) is associated with an increased incidence of adverse cardiovascular events, but it is not known whether self-reported nonadherence can identify patients at greatest risk of such events. Nonadherence to physician treatment recommendations is an increasingly recognized cause of adverse outcomes and increased health care costs, particularly among patients with cardiovascular disease
  7. Table 3.3 Rx RM 3143, MCRP 3214 CCRP 2151 control