Assessment of chronic disease self-management in patients with chronic heart failure based on the MCID of patient-reported outcomes by the multilevel model

Jing Tian, Jinghua Zhao, Qing Zhang, Jia Ren, Linai Han, Jing Li, Yanbo Zhang, Qinghua Han, Jing Tian, Jinghua Zhao, Qing Zhang, Jia Ren, Linai Han, Jing Li, Yanbo Zhang, Qinghua Han

Abstract

Purpose: The minimal clinically important difference (MCID) of a patient-reported outcome (PRO) represents the threshold value of the change in the score for that PRO. It is deemed to have an important implication in clinical management. This study was performed to evaluate the clinical significance of chronic disease self-management (CDSM) for patients with chronic heart failure based on the MCID of the chronic heart failure-PRO measure (CHF-PROM).

Methods: A multicenter, prospective cohort study of 555 patients with heart failure were enrolled from July 2018. Advice of CDSM was provided in written form at discharge to all patients. Information regarding CHF-PROM and CDSM were collected during follow-up. Multilevel models were applied to dynamically evaluate the effects of CDSM for CHF-PROM scores, as well as its physical and psychological domains. MCID changes of the PRO were introduced and compared with β values of CDSM obtained from the multi-level models to further evaluate the clinical significance. The STROBE checklist is shown in Additional file 1.

Results: Scores for CHF-PROM improved significantly after discharge. The multilevel models showed that a regular schedule, avoidance of over-eating, a low-sodium diet and exercise increased scores on CHF-PROM. Compared with the MCID, avoidance of over-eating (12.39 vs. 9.75) and maintenance of a regular schedule often (10.98 vs. 9.75), and exercise almost every day (11.36 vs. 9.75) reached clinical significance for the overall summary. Avoidance of over-eating (5.88 vs. 4.79) and a regular schedule almost every day (4.96 vs. 4.79) reached clinical significance for the physical scores. Avoidance of over-eating half of the time (5.26 vs. 4.87) and a regular schedule almost every day (5.84 vs. 4.87) demonstrated clinical significance for the psychological scores.

Conclusions: This study observed an association of avoidance of over-eating and maintenance of a regular schedule with the improvement of CHF-PROM. It provides further evidence for management of heart failure.

Trial registration: Current Prospective Trials NCT02878811; registered August 25, 2016; https://ichgcp.net/clinical-trials-registry/NCT02878811?term=NCT02878811&draw=2&rank=1 .

Keywords: Chronic disease self-management; Chronic heart failure; Minimal clinically important difference; Multilevel model; Patient-reported outcome.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig.1
Fig.1
Residual normality test diagram of OS (a, b) are the residual normality test graphs of OS at the different time points level and the individual level, respectively. The ordinates of the diagrams represent the standardized residuals of each level, and the abscissas are their normal fractions. The curve of each figure represents the residual normality test of each level. The residual is normally distributed when the curve performs as a straight line
Fig. 2
Fig. 2
Residual normality test diagram of PHYS and PSYS (a, b) represent the residual normality tests of PHY at the timepoint level and the individual level, respectively. c, d Represent the residual normality test of PSY at the time-point level and the individual level, respectively
Fig. 3
Fig. 3
Comparation of MCID to the cumulative β for variables each point represents the value that the correspond β of strategy multiplied by (grade-1). MCID is shown as a dotted black line. The strategy is of the clinical significance when the its value is larger than MCID. a Represents the influence of management strategies on OS. b, c represent the influence of management strategies on PHY and PSY, respectively

References

    1. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Colvin MM, et al. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. Circulation. 2017;136(6):137–161. doi: 10.1161/CIR.0000000000000509.
    1. Hu S, Gao R, Liu L, Zhu M, Wang W, Wang Y, et al. Summary of the 2018 Report on Cardiovascular Diseases in China. Chin Circ J. 2019;34(3):209–220.
    1. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016;37(27):2129–2200. doi: 10.1093/eurheartj/ehw128.
    1. U.S. Department of Health and Human Services FDA Center for drug evaluation and research, U.S. Department of Health and Human Services FDA Center for biologics evaluation and research, U.S. Department of Health and Human Services FDA Center for devices and radiological health. Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance. Health Qual Life Outcomes. 2006; 4(79): e1–e20.
    1. Kelkar AA, Spertus J, Pang P, Pierson RF, Cody RJ, Pina IL, et al. Utility of patient-reported outcome instruments in heart failure. JACC Heart Fail. 2016;4(3):165–175. doi: 10.1016/j.jchf.2015.10.015.
    1. Seferovic PM, Ponikowski P, Anker SD, Bauersachs J, Chioncel O, Cleland JGF, et al. Clinical practice update on heart failure 2019: pharmacotherapy, procedres, devices and patient management. An expert consensus meeting report of the Heart Failure Association of the European Society of Cardiology. Eur. J. Heart Fail. 2019; 21(10): 1–17.
    1. Jonkman NH, Westland H, Groenwold RH, Agren S, Atienza F, Blue L, et al. Do self-management interventions work in patients with heart failure? An individual patient data meta-analysis. Circulation. 2016;133(12):1189–1198. doi: 10.1161/CIRCULATIONAHA.115.018006.
    1. Riegel B, Lee CS, Dickson VV, Medscape. Self care in patients with chronic heart failure. Nat Rev Cardiol. 2011; 8(11): 644–654.
    1. Tian J, Xue J, Hu X, Han Q, Zhang Y. CHF-PROM: validation of a patient-reported outcome measure for patients with chronic heart failure. Health Qual Life Outcomes. 2018;16(1):e1–e14. doi: 10.1186/s12955-018-0874-2.
    1. Blinderman CD, Homel P, Billings JA, Portenoy RK, Tennstedt SL. Symptom distress and quality of life in patients with advanced congestive heart failure. J Pain Symptom Manag. 2008;35(6):594–603. doi: 10.1016/j.jpainsymman.2007.06.007.
    1. Goldstein H. Multilevel statistical models. 3. London: Arnold; 2003.
    1. Sedaghat AR. Understanding the Minimal Clinically Important Difference (MCID) of Patient-Reported Outcome Measures. Otolaryngol Head Neck Surg. 2019;161(4):1–10. doi: 10.1177/0194599819852604.
    1. Wright A, Hannon J, Hegedus EJ, Kavchak AE. Clinimetrics corner: a closer look at the minimal clinically important difference (MCID) J Man Manip Ther. 2012;20(3):160–166. doi: 10.1179/2042618612Y.0000000001.
    1. Carson P, Tam SW, Ghali JK, Archambault WT, Taylor A, Cohn JN, et al. Relationship of quality of life scores with baseline characteristics and outcomes in the African-American heart failure trial. J Card Fail. 2009;15(10):835–842. doi: 10.1016/j.cardfail.2009.05.016.
    1. Lewis EF, Kim HY, Claggett B, Spertus J, Heitner JF, Assmann SF, et al. Impact of Spironolactone on Longitudinal Changes in Health-Related Quality of Life in the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial. Circ Heart Fail. 2016;9(3):e1–9. doi: 10.1161/CIRCHEARTFAILURE.114.001937.
    1. Napier R, McNulty SE, Eton DT, Redfield MM, AbouEzzeddine O, Dunlay SM. Comparing measures to assess health-related quality of life in heart failure with preserved ejection fraction. JACC Heart Fail. 2018;6(7):552–560. doi: 10.1016/j.jchf.2018.02.006.
    1. Broström A, Strömberg A, Dahlström U, Fridlund B. Sleep difficulties, daytime sleepiness, and health-related quality of life in patients with chronic heart failure. J Cardiovasc Nurs. 2004;19(4):234–242. doi: 10.1097/00005082-200407000-00003.
    1. Liu JC, Hung HL, Shyu YK, Tsai PS. The impact of sleep quality and daytime sleepiness on global quality of life in community-dwelling patients with heart failure. J Cardiovasc Nurs. 2011;26(2):99–105. doi: 10.1097/JCN.0b013e3181ed7d12.
    1. F Johansson P, Dahlström U, Broström A. Factors and interventions influencing health-related quality of life in patients with heart failure: a review of the literature. Eur J Cardiovasc Nurs. 2006; 5(1): 5–15.
    1. Chang YL, Chiou AF, Cheng SM, Lin KC. Tailored educational supportive care programme on sleep quality and psychological distress in patients with heart failure: a randomised controlled trial. Int J Nurs Stud. 2016;7(2):219–229. doi: 10.1016/j.ijnurstu.2016.07.002.
    1. American Heart Association (2000) ‘Heavy Meals May Trigger Heart Attacks.’ Science Daily.
    1. Cox HS, Kaye DM, Thompson JM, Turner AG, Jennings GL, Itsiopoulos C, et al. Regional sympathetic nervous activation after a large meal in humans. Clin Sci (Lond) 1995;89(2):145–154. doi: 10.1042/cs0890145.
    1. Bibbins-Domingo K, Chertow GM, Coxson PG, Moran A, Lightwood JM, Pletcher MJ, et al. Projected effect of dietary salt reductions on future cardiovascular disease. N Engl J Med. 2010;362(7):590–599. doi: 10.1056/NEJMoa0907355.
    1. Chen YW, Wang CY, Lai YH, Liao YC, Wen YK, Chang ST, et al. Home-based cardiac rehabilitation improves quality of life, aerobic capacity, and readmission rates in patients with chronic heart failure. Medicine (Baltimore) 2018;97(4):1–5.
    1. Colin-Ramirez E, McAlister FA, Zheng Y, Sharma S, Armstrong PW, Ezekowitz JA. The long-term effects of dietary sodium restriction on clinical outcomes in patients with heart failure. The SODIUM-HF (Study of Dietary Intervention Under 100 mmol in Heart Failure): a pilot study. Am. Heart J. 2015; 169(2): 274–281.
    1. Hummel SL, Karmally W, Gillespie BW, Helmke S, Teruya S, Wells J, et al. Home-Delivered Meals Postdischarge From Heart Failure Hospitalization. Circ Heart Fail. 2018;11(8):1–10. doi: 10.1161/CIRCHEARTFAILURE.117.004886.
    1. Philipson H, Ekman I, Forslund HB, Swedberg K, Schaufelberger M. Salt and fluid restriction is effective in patients with chronic heart failure. Eur J Heart Fail. 2013;15(11):1304–1310. doi: 10.1093/eurjhf/hft097.
    1. Welsh D, Lennie TA, Marcinek R, Biddle MJ, Abshire D, Bentley B, et al. Low-sodium diet self-management intervention in heart failure: pilot study results. Eur J Cardiovasc Nurs. 2013;12(1):87–95. doi: 10.1177/1474515111435604.
    1. Chung ML, Park L, Frazier SK, Lennie TA. Long-term adherence to low-sodium diet in patients with heart failure. West J Nurs Res. 2017;39(4):1–15. doi: 10.1177/0193945916681003.
    1. Taylor RS, Walker S, Smart NA, Piepoli MF, Warren FC, Ciani O, et al. Impact of exercise-based cardiac rehabilitation in patients with heart failure (ExTraMATCH II) on mortality and hospitalisation: an individual patient data meta-analysis of randomised trials. Eur J Heart Fail. 2018;20(12):1735–1743. doi: 10.1002/ejhf.1311.
    1. Taylor RS, Walker S, Smart NA, Piepoli MF, Warren FC, Ciani O, et al. Impact of exercise rehabilitation on exercise capacity and quality-of-life in heart failure: individual participant meta-analysis. J Am Coll Cardiol. 2019;73(12):1430–1443. doi: 10.1016/j.jacc.2018.12.072.

Source: PubMed

3
S'abonner