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Cardiac rehabilitation in Austria: long term health-related quality of life outcomes

Health and Quality of Life Outcomes volume 7, Article number: 99 (2009) Cite this article

Abstract

Background

The goal of cardiac rehabilitation programs is not only to prolong life but also to improve physical functioning, symptoms, well-being, and health-related quality of life (HRQL). The aim of this study was to document the long-term effect of a 1-month inpatient cardiac rehabilitation intervention on HRQL in Austria.

Methods

Patients (N = 487, 64.7% male, age 60.9 ± 12.5 SD years) after myocardial infarction, with or without percutaneous interventions, coronary artery bypass grafting or valve surgery underwent inpatient cardiac rehabilitation and were included in this long-term observational study (two years follow-up). HRQL was measured with both the MacNew Heart Disease Quality of Life Instrument [MacNew] and EuroQoL-5D [EQ-5D].

Results

All MacNew scale scores improved significantly (p < 0.001) and exceeded the minimal important difference (0.5 MacNew points) by the end of rehabilitation. Although all MacNew scale scores deteriorated significantly over the two year follow-up period (p < .001), all MacNew scale scores still remained significantly higher than the pre-rehabilitation values. The mean improvement after two years in the MacNew social scale exceeded the minimal important difference while MacNew scale scores greater than the minimal important difference were reported by 40-49% of the patients.

Two years after rehabilitation the mean improvement in the EQ-5D Visual Analogue Scale score was not significant with no significant change in the proportion of patients reporting problems at this time.

Conclusion

These findings provide a first indication that two years following inpatient cardiac rehabilitation in Austria, the long-term improvements in HRQL are statistically significant and clinically relevant for almost 50% of the patients. Future controlled randomized trials comparing different cardiac rehabilitation programs are needed.

Background

Besides prolonging life, the objectives of cardiac rehabilitation (CR) include the reduction of symptoms and the improvement of physical functioning and general wellbeing [1, 2]. These outcomes are typically considered to be patient-reported outcomes (PRO) and have top-tier priority when it comes to assessing quality in cardiovascular care [3]. A recently published meta-analysis showed that 12 out of 12 exercise-based outpatient CR programs improved health-related quality of life (HRQL) but the magnitude of improvement in HRQL with cardiac rehabilitation exceeded that of the controls in only two trials [4].

There is a great variety of CR programs in the different European countries with either inpatient or outpatient (including home-based CR [5]) or both CR programs available for patients [6]. A wide range of patients having undergone different interventions (e.g. percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) or heart valve surgery (HVS)) and presenting various diagnoses (myocardial infarction (MI), angina or heart failure (HF)) are eligible for these programs which makes it difficult to compare PROs. Inpatient as well as outpatient CR programs are provided in Austria [7] and there is evidence from a non-randomized study that both types of CR programs adequately improve the short term (3-month) outcome of HRQL [8]. In addition, short-term studies including PRO and clinical data for the major six Austrian cardiac inpatient rehabilitation centers have documented statistically significant and clinical important improvements in HRQL and reduction of risk factors in an unselected patient group [9].

Although the Austrian legal framework makes it mandatory that the health care systems and their long-term benefits are evaluated from a patient-centered perspective (Gesundheitsqualitätsgesetz BGBL I Nr. 179/2004), there is little or no data available regarding the long-term (>12 months) effects of inpatient CR programs on HRQL [10]. Further, the question about which particular sub-group within the population of eligible patients enjoys the greatest benefits from these programs within a particular timeframe and in accordance with national [11, 12] or international guidelines [13] has not been answered. The aim of this study was therefore to document the long-term PRO improvements of the inpatient CR programs available in Austria.

Methods

Over a period of 8 weeks in 2004, 487 consecutive patients after MI, angina or heart valve disease with or without PCI, CABG or heart valve surgery in six cardiac rehabilitation centers managed by the Austrian Pension Insurance Institution ("Pensionsversicherungsanstalt" or "PVA") were included in this observational study. Patients completed the 4-week inpatient CR program as soon as possible after initial treatment. A detailed description of the CR program has been published and the selected patient group constitutes a representative sample of the participants in the inpatient CR programs available in Austria [9]. The protocol was approved by the institutional review board of the Austrian Pension Insurance Institution.

Baseline data were collected at the beginning (pre rehabilitation, t0) and at the end of the 4 week inpatient CR (post rehabilitation, one month t1) [9]. The two year follow-up was performed as a postal follow-up (t2). The mailed package included a prepaid return envelope with the two questionnaires used at baseline, the MacNew Heart Disease Health-related Quality of Life Instrument [MacNew] and the EuroQol 5D [EQ-5D] plus a list of major adverse cardiac events. One postal reminder was sent out if patients did not return the initial questionnaire.

MacNew

The MacNew is an internationally well documented valid and reliable instrument to assess HRQL for patients with different manifestations of heart disease, such as angina pectoris [14], myocardial infarction [15], heart failure [16], and arrhythmia [17] as well as different interventions (such as PCI, CABG [18], pacemaker implant [19] or CR [5, 8, 20]). Currently the MacNew is the only international disease-specific HRQL instrument that ensures a reliable and valid assessment and comparison of cardiovascular patients with varying presentations and symptoms of their disease.

The MacNew comprises 27 items which are scored from 1 (poor HRQL) to 7 (high HRQL) and consists of three scales: physical limitations, emotional function, and social function; additionally an overall HRQL score can be calculated [21]. Reference data are available for different diagnostic entities and age groups [22]. The minimal important difference (MID; knowledge of the smallest change in instrument score that patients perceive as important [23]) for a MacNew change score has been established to be 0.5 MacNew points [22].

EQ-5D

The EQ-5D is a generic instrument for the measurement of HRQL and therefore particularly suited for comparisons with other diseases (e.g. cancer). On the basis of the utility approach, the EQ-5D can be used to calculate quality adjusted life years (QALYs) [24]. The EQ-5D consists of a 5-dimensional descriptive system and a visual analogue scale allowing assessment of relevant segments of HRQL: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. The EQ-5D has repeatedly been used and was validated with the aid of the MacNew in German-speaking CHD patients with acceptable psychometric properties (test-retest reliability and responsiveness) [25].

Major adverse cardiac events

The patients were queried whether and when the following major adverse cardiac events had occurred in the last two years: 1) heart attack, 2) symptoms of angina, 3) bypass surgery, 4) valve replacement, and 5) coronary intervention. In addition, the patients were asked if they had participated in other rehabilitation interventions such as another inpatient rehabilitation program or a follow-up outpatient rehabilitation program. Death as a major adverse cardiac event was recorded with the help of the Austrian health information system.

Statistical analysis

Descriptive procedures (means, standard deviation, frequencies) were used to describe patient characteristics. To compare responders with non-responders independent t-test and chi-square were used. Paired t-test (MacNew) and Wilcoxon (EQ-5D) test were applied to check the statistical significance for time and analysis of variance for group comparisons.

Effect sizes for the comparison baseline/follow-up were calculated (ES = (M1-M2)/SD1). Values between 0.20 and < 0.50 are considered as small, values between 0.50 and < 0.80 as moderate and ≥ 0.80 as high [26]. The significance level was established at p < 0.05. All analyses were conducted using the statistics software package SPSS 16 for Windows (SPSS Incorp., USA).

Results

Questionnaires were returned by 351 patients (mean age of 60.9 ± 12.5 years, 66% males, completion rate of 72.1%, Table 1). Additional selected baseline socio-demographic and clinical variables for all responders and non-responders are given in Table 1. Reasons for not returning the questionnaires included death (14.7%), incorrect address (5.2%), and unknown (80.1%). Compared to responders, non-responders were 2.5 times more likely to have been working at baseline (Table 1). Based on the other available variables no significant difference between responders and non-responders could be detected.

Table 1 Clinical- and socio-demographic patient characteristics of responders and non-responders (N = 487)
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During the two year follow-up, major adverse cardiac events among the 487 patients were recorded on 140 occasions. It included 20 deaths (4.1%) with angina the most frequent event (11.9%, Table 2). A single major adverse cardiac event was recorded for 76 patients while 21 patients reported more than one.

Table 2 Major Adverse Cardiac Events in the last two years post cardiac rehabilitation
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There was a significant short-term improvement in all MacNew HRQL scales over the one-month inpatient CR program (Table 3, and [9]) with fewer patients (p < 0.001) reporting problems on the EQ-5D mobility, daily activities and pain/discomfort sub-scales at the end of inpatient CR (Table 7 in [9]). It is important to note that both responders and non-responders reported the same initial improvement in all MacNew and EQ-5D HRQL scale scores after CR (global: p = .622; physical: p = .948; emotional: p = .377; social: p = .711, mobility; p = .784; self-care: p = .881; daily activities: p = .451; pain: p = .655; anxiety/depression: p = .293).

Table 3 Mean change [M; 95% Confidence Interval (95% CI)] scores in MacNew HRQL, effect size statistics [ES; t0-t2] and minimal important difference [MID; t0-t2] over time
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Over the two year period following the end of inpatient rehabilitation program, HRQL significantly decreased in all MacNew scales (e.g., global MacNew, Figure 1). However, at the two year follow-up the mean HRQL for all MacNew scale scores were still significantly higher than at baseline with the social HRQL on average still above the MID of 0.5 MacNew points (change in global HRQL: 0.33 p = < .001; physical HRQL: 0.35 p = < .001; emotional HRQL: 0.24 p = .003; social HRQL: 0.52 p = < .001). Although 43.0% [n = 151] of the patients reported an improvement in HRQL over the two-year follow-up that was equal to or exceeded the MID of 0.5 points, the effect sizes were small two years after inpatient CR (Table 3).

Figure 1
figure 1

Change in mean global MacNew HRQL over time.

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On the basis of the MacNew MID, the responders were then grouped as having a negative (-0.5 MacNew points), unchanged [-0.49-0.49 MacNew points) or positive [+0.5 MacNew points] MID (Table 3). About 25% of the patients reported either a clinically important deterioration or remained unchanged with between 40 and 49% of the patients reporting a clinically important improvement on the MacNew HRQL scale scores. Moreover, patients who reported an improved HRQL of greater than the MID two years after CR had initially reported an improvement of 1.12 MacNew points with CR. This initial improvement was significantly higher (p < 0.001) than that reported by either those whose HRQL had deteriorated within two years (initial improvement = 0.38 MacNew points) or those whose HRQL remained unchanged over two years (initial improvement = 0.42 MacNew points).

On the basis of the change in MacNew global HRQL, the effect sizes and the proportion of patients exceeding the MacNew MID of 0.5 points were calculated for the responders in accordance with the main diagnosis, the pre-treatment, the risk profile, and the socio-demographic status (age groups and gender) (Additional file 1; Table S1). HRQL improved at two years in patients with ischaemic heart disease (p < 0.002) with a medium effect size of 0.65 and an improvement greater than the MID in 43.5%; HRQL also improved in patients with heart valve disease (p = 0.011) with a small effect size of 0.42 and an improvement greater than the MID in 49%. As far as the treatment before CR is concerned, HRQL improved over the two years in patients with CABG and HVS (p < 0.001) with medium effect sizes of 0.60 and 0.64, respectively, and an improvement greater than the MID in 58.4% of the patients after CABG and in 60.6% of patients having undergone HVS.

Patients without hypertension, without diabetes or without hypercholesterolemia improved their HRQL (p < 0.001) at two years with a small (no diabetes, ES = 0.38) or medium effect sizes (no hypertension, ES = 0.64; no hypercholesterol, ES = 0.56) and an improvement greater than the MID two years after CR in 48-56% of the patients. Patients with no major adverse cardiac event in the last two years reported on average a medium effect, with 51% having a long lasting effect. In contrast, patients with one or more major adverse cardiac events deteriorated on average by 0.3 MacNew points. It is interesting to note that these patients had already initially (t0) low HRQL scale scores (p < 0.001). Two years after CR, HRQL improved (p < 0.001) in male but not in female patients, although the effect size was rather small (ES = 0.37) despite the fact that 48% of the males reported an improvement greater than the MID.

Compared with mid-age (41-65) and older (>65) patients the young (<41) showed strong effects, that were long lasting in 62% of the cases; although statistically significant effects could be shown for the age groups 41 and older, in terms of effect statistics there were no (age group 41-65) or small effects (age group 65+), with long lasting effects for 43-40% of the patients.

Beyond the often long lasting improvements in disease-specific HRQL, no long-term improvements were observed in "mobility", "self-care" and "pain" as measured by the generic EQ-5D. The ability to perform usual daily life activities remained 6% higher two years after CR. However a considerable proportion of patients (7% increase) reported some problems with "anxiety/depression" two years after CR (Table 4). The overall subjective health status based on the EQ-5D VAS Scale returned to baseline level (65.0).

Table 4 EQ-5D generic HRQL at baseline (t0), one month (t1) and two years (t2) (percentage %)
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Discussion

In this study, although mean HRQL decreased over the two years following CR in the 351 patients referred to the six participating Austrian inpatient rehabilitation centers, all MacNew scale scores HRQL remained significantly higher than at baseline with the mean social HRQL change greater than the MID of 0.5 MacNew points. An additional indication for the positive long-term results of inpatient CR can be seen in the fact that as many as 60.1% of the patients reported an improved global MacNew HRQL score with 43.0% achieving or exceeding the MID. Comparing our results to published norm data, baseline HRQL values were below, t1 HRQL values were higher and t2 HRQL values were comparable to published norm values [22].

More detailed analyses made it possible to identify subgroups of patients who benefit most from the programs offered by the PVA inpatient CR centers in Austria. The improvement in HRQL showed greater effect sizes for patients with ischemic heart disease than for patients with valvular disease. Patients having undergone surgery (either CABG or HVS) prior to rehabilitation benefited more than patients after PCI which may be a consequence of the particular positive effect of the PCI that makes these patients report the greatest improvements in HRQL after a PCI but before rehabilitation [27]. This observation questions the additional benefit of inpatient CR as an opportunity for further improvement of HRQL in this patient group. This is in line with previous findings which have shown that CR is especially beneficial to CABG patients 12 months after CR (effect sizes i.e. 0.66 after 12 months) [10].

The management of patients with risk factors, i.e., smoking, hypertension, diabetes mellitus or hypercholesterolemia, where no long-term effects of statistical or clinical significance were observed, is a more challenging task. This raises the question whether it is possible to better manage patients at risk by providing additional on-going support (i.e. outpatient programs, long-term monitoring via modern media - eHealth) with the aim that this would bring about a potentially long-term benefit for these high risk patients.

The results of this study also suggest that younger patients, with an effect size of 0.91, derive the greatest long-term benefit from inpatient CR in terms of an improved HRQL (with 63% having a long-lasting effect). This is partly in line with previous findings, where increased age (65+) was associated with mental HRQL comparable to community norms [28] or with a greater improvement after CR [10]. Our results, however, indicate that there is a U-form type of relationship. Either patients <41 or patients 65+ years old reported small to medium effect sizes, with no effects for the age group 41-65. Finally, the fact that male patients show a greater benefit than female ones may suggest a possible programmatic gender issue which needs further investigation.

The 5 dimensions of HRQL as measured by the generic EQ-5D did show improvements for daily activities for a small proportion of patients (6%). However, in contrast to the disease-specific significant MacNew HRQL changes, the EQ-5D did not pick up an overall global health status improvement for the whole group, with values returning to pre-rehabilitation levels. This is in line with previous research demonstrating that disease specific instruments are more sensitive to change in contrast to generic HRQL instruments which are more useful when comparing different diagnoses [29]. Another important and more general finding is the reported increase in anxiety/depression two years after the end of the inpatient CR program. Since there is presently a controversial discussion about depression as a potential risk factor or a significant comorbidity [30–32] influencing the outcome [33], special attention needs to be paid to the diagnosis of anxiety/depression in patients attending inpatient CR [34].

Although patients with one or more major adverse cardiac events two years after CR reported the same initial improvement of 0.7 MacNew points as patients without major adverse cardiac events in the follow-up period, their initial HRQL scale scores were significantly lower (<4.5 MacNew points) which means that the difference between the two groups was close to the MID of 0.5 MacNew points. Low HRQL has been shown to have negative effects on adherence [35], and adherence itself is a highly relevant factor for health outcomes (e.g. [36, 37]). In addition, a previous study using the MacNew scale scores predicted adverse cardiac events including death [38]. This corroborates the findings of the present study suggesting that initial screening for HRQL, especially at the beginning of CR, may be a potential decision-making tool, to improve the identification of high risk patients. An intensive monitoring of high risk patients is advisable (i.e. with low initial HRQL: <4.5 MacNew points at the beginning of CR; or little HRQL improvement: <0.5 MID improvement) after the end of CR in order to prevent possible future major adverse cardiac events. Future studies and programs should address the benefit of ongoing brief contacts with patients having undergone CR with the aim of monitoring their health status with the help of modern eHealth technologies.

The amount of publications addressing PROs such as HRQL after inpatient cardiac rehabilitation is very limited. Published articles addressing inpatient cardiac rehabilitation primarily focus on cost analysis [39], cardiovascular risk factors [40, 41], consumer parameters (such as treatment satisfaction or patient expectations [42, 43]) or its utilization [44, 45]. In this study we documented the long-term (two years) HRQL outcome of patients following a one month inpatient CR. If HRQL has been used as an outcome parameter in cardiac rehabilitation evaluation studies a variety of measures have been used making outcome comparisons difficult [46]. For example Müller-Nordheim used in a similar study the generic SF-36 with a one year follow-up period. The general findings are comparable to ours, with large effect size HRQL improvements for patients after CABG, less after PCI and non after MI [10]. In contrast to our results, women reported more frequently improvements in health status then men. Overall, a consistent application of a single core heart disease specific HRQL outcome measure to allow program comparisons is warranted.

A major limitation of this study is the lack of a control group, which does not allow attributing the documented improvement in HRQL only to CR. As there is no evidence for the natural history of long-term recovery of patients not attending CR in Austria, it is difficult to distinguish the effect of CR from other factors. Further, although there is relatively little documentation of the long-term benefits of inpatient CR, it is a clinically well-established practice in Austria making the feasibility of randomization to a control versus an inpatient CR group questionable. In relation to this, a study by Benzer et al. comparing inpatient CR, outpatient CR and usual care (non-CR participants) over a short period of time indicated that there is a faster recovery of HRQL for CR attendees in contrast to no CR [8]. However the question of whether and how CR non-participants improve over a long term period such as two years remains unanswered and future evaluation projects need to consider the possibility of control groups at least for short-term outcomes (i.e. waiting-list controls). Further, the HRQL of non-responders (27.9%) remains unclear. It should be noted, however, that the analyses of non-responders and responders did not suggest that there was a selection bias based on the available variables, or the initial HRQL improvements. Another limitation of this study is the lack of information about stroke as an additional major cardiac event.

This study documented improved HRQL for as many as 49% of all patients two years after CR, complementing the available literature on long term health outcomes after inpatient CR. In particular male patients up to 41 years with either ischemic heart disease or pre-treated with CABG or HVS and without risk factors benefited most from the existing CR programs. It may, therefore, be necessary to develop gender- and age-specific modules. HRQL screening for high risk patients (low HRQL) combined with a long term monitoring should be applied to minimize major cardiac events in high risk patients. Future controlled randomized trials comparing different cardiac rehabilitation programs using a single core heart disease specific PRO outcome measure are needed.

References

  1. Saner H: [From cardiac rehabilitation to prevention]. Wiener klinische Wochenschrift 2003,115(21–22):743–744. 10.1007/BF03040498

    Article  Google Scholar 

  2. Committee WHO: Rehabilitation of patients with cardiovascular disease. Geneva: Technical report series 270 1964.

    Google Scholar 

  3. Krumholz HM, Peterson ED, Ayanian JZ, Chin MH, DeBusk RF, Goldman L, Kiefe CI, Powe NR, Rumsfeld JS, Spertus JA, Weintraub WS: Report of the National Heart, Lung, and Blood Institute working group on outcomes research in cardiovascular disease. Circulation 2005,111(23):3158–3166. 10.1161/CIRCULATIONAHA.105.536102

    Article  Google Scholar 

  4. Taylor RS, Brown A, Ebrahim S, Jolliffe J, Noorani H, Rees K, Skidmore B, Stone JA, Thompson DR, Oldridge N: Exercise-based rehabilitation for patients with coronary heart disease: systematic review and meta-analysis of randomized controlled trials. The American journal of medicine 2004,116(10):682–692. 10.1016/j.amjmed.2004.01.009

    Article  Google Scholar 

  5. Dalal HM, Evans PH, Campbell JL, Taylor RS, Watt A, Read KL, Mourant AJ, Wingham J, Thompson DR, Pereira Gray DJ: Home-based versus hospital-based rehabilitation after myocardial infarction: A randomized trial with preference arms--Cornwall Heart Attack Rehabilitation Management Study (CHARMS). International journal of cardiology 2007,119(2):202–211. 10.1016/j.ijcard.2006.11.018

    Article  CAS  Google Scholar 

  6. Vanhees L, McGee HM, Dugmore LD, Schepers D, van Daele P: A representative study of cardiac rehabilitation activities in European Union Member States: the Carinex survey. J Cardiopulm Rehabil 2002,22(4):264–272. 10.1097/00008483-200207000-00009

    Article  Google Scholar 

  7. Benzer W, Mayr K, Abbuhl B: [Cardiac rehabilitation in Austria. A need to treat analysis]. Wiener klinische Wochenschrift 2003,115(21–22):780–787. 10.1007/BF03040503

    Article  Google Scholar 

  8. Benzer W, Platter M, Oldridge NB, Schwann H, Machreich K, Kullich W, Mayr K, Philippi A, Gassner A, Dorler J, Hofer S: Short-term patient-reported outcomes after different exercise-based cardiac rehabilitation programmes. Eur J Cardiovasc Prev Rehabil 2007,14(3):441–447. 10.1097/HJR.0b013e32802bf7ae

    Article  Google Scholar 

  9. Höfer S, Kullich W, Graninger U, Brandt D, Gassner A, Klicpera M, Laimer H, Marko C, Schwann H, Muller R: Cardiac rehabilitation in Austria: short term quality of life improvements in patients with heart disease. Wiener klinische Wochenschrift 2006,118(23–24):744–753. 10.1007/s00508-006-0727-6

    Article  Google Scholar 

  10. Muller-Nordhorn J, Kulig M, Binting S, Voller H, Gohlke H, Linde K, Willich SN: Change in quality of life in the year following cardiac rehabilitation. Qual Life Res 2004,13(2):399–410. 10.1023/B:QURE.0000018473.55508.6a

    Article  CAS  Google Scholar 

  11. Arbeitsgruppe Kardiologische Rehabilitation und Sekundärprävention der Österreichischen Kardiologischen Gesellschaft: Guidelines für die ambulante kardiologische Rehabilitation und Prävention in Österreich. Beschluß der Österreichischen Kardiologischen Gesellschaft vom April 2005. Journal für Kardiologie 2005,12(11–12):303–309.

    Google Scholar 

  12. Brandt D: Editorial: Indikation zur Kardiologischen Rehabilitation. Journal für Kardiologie 2004,11(11):435–436.

    Google Scholar 

  13. Graham I, Atar D, Borch-Johnsen K, Boysen G, Burell G, Cifkova R, Dallongeville J, De Backer G, Ebrahim S, Gjelsvik B, Herrmann-Lingen C, Hoes A, Humphries S, Knapton M, Perk J, Priori SG, Pyorala K, Reiner Z, Ruilope L, Sans-Menendez S, Op Reimer WS, Weissberg P, Wood D, Yarnell J, Zamorano JL, Walma E, Fitzgerald T, Cooney MT, Dudina A, Vahanian A, et al.: European guidelines on cardiovascular disease prevention in clinical practice: executive summary. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil 2007,14(Suppl 2):E1–40. 10.1097/01.hjr.0000277983.23934.c9

    Article  Google Scholar 

  14. Höfer S, Benzer W, Schüßler G, von Steinbüchel N, Oldridge NB: Health-related quality of life in patients with coronary artery disease treated for angina: validity and reliability of German translations of two specific questionnaires. Qual Life Res 2003,12(2):199–212. 10.1023/A:1022272620947

    Article  Google Scholar 

  15. Höfer S, Benzer W, Brandt D, Laimer H, Schmidt P, Bernardo A, Oldridge NB: MacNew Heart Disease Lebensqualitätsfragebogen nach Herzinfarkt: die deutsche Version. Zeitschrift für Klinische Psychologie und Psychotherapie 2004,33(4):270–280. 10.1026/1616-3443.33.4.270

    Article  Google Scholar 

  16. Höfer S, Schmid JP, Frick M, Benzer W, Laimer H, Oldridge N, Saner H: Psychometric properties of the MacNew heart disease health-related quality of life instrument in patients with heart failure. J Eval Clin Pract 2008,14(4):500–506. 10.1111/j.1365-2753.2007.00905.x

    Article  Google Scholar 

  17. Höfer S, Anelli-Monti M, Berger T, Hintringer F, Oldridge N, Benzer W: Psychometric properties of an established heart disease specific health-related quality of life questionnaire for pacemaker patients. Qual Life Res 2005,14(8):1937–1942. 10.1007/s11136-005-4347-9

    Article  Google Scholar 

  18. Benzer W, Höfer S, Oldridge NB: Change in health-related quality of life following medical or invasive treatment for angina in patients with coronary artery disease. Herz 2003,28(5):421–428. 10.1007/s00059-003-2388-9

    Article  Google Scholar 

  19. Benzer W, Oldridge N, Anelli Monti M, Berger T, Hintringer F, Höfer S: Clinical predictors of health-related quality of life after pacemaker implantation. Wiener klinische Wochenschrift 2006,118(23–24):739–743. 10.1007/s00508-006-0714-y

    Article  Google Scholar 

  20. Wisloff U, Stoylen A, Loennechen JP, Bruvold M, Rognmo O, Haram PM, Tjonna AE, Helgerud J, Slordahl SA, Lee SJ, Videm V, Bye A, Smith GL, Najjar SM, Ellingsen O, Skjaerpe T: Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation 2007,115(24):3086–3094. 10.1161/CIRCULATIONAHA.106.675041

    Article  Google Scholar 

  21. Höfer S, Lim LL, Guyatt GH, Oldridge NB: The MacNew Heart Disease health-related quality of life instrument: A summary. Health and quality of life outcomes 2004,2(1):3. 10.1186/1477-7525-2-3

    Article  PubMed Central  Google Scholar 

  22. Dixon T, Lim LL, Oldridge NB: The MacNew heart disease health-related quality of life instrument: reference data for users. Qual Life Res 2002,11(2):173–183. 10.1023/A:1015005109731

    Article  Google Scholar 

  23. Guyatt G, Schunemann H: How can quality of life researchers make their work more useful to health workers and their patients? Qual Life Res 2007,16(7):1097–1105. 10.1007/s11136-007-9223-3

    Article  Google Scholar 

  24. Nord E: Methods for quality adjustment of life years. Social science & medicine (1982) 1992,34(5):559–569.

    Article  CAS  Google Scholar 

  25. Schweikert B, Hahmann H, Leidl R: Validation of the EuroQol questionnaire in cardiac rehabilitation. Heart (British Cardiac Society) 2006,92(1):62–67.

    Article  CAS  Google Scholar 

  26. Cohen J: A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960,XX(1):37–46. 10.1177/001316446002000104

    Article  Google Scholar 

  27. Höfer S, Doering S, Rumpold G, Oldridge N, Benzer W: Determinants of health-related quality of life in patients with coronary artery disease. Eur J Cardiovasc Prev Rehabil 2006,13(3):398–406. 10.1097/00149831-200606000-00016

    Article  Google Scholar 

  28. Brown N, Melville M, Gray D, Young T, Munro J, Skene AM, Hampton JR: Quality of life four years after acute myocardial infarction: short form 36 scores compared with a normal population. Heart (British Cardiac Society) 1999,81(4):352–358.

    CAS  Google Scholar 

  29. Testa MA, Simonson DC: Assesment of quality-of-life outcomes. The New England journal of medicine 1996,334(13):835–840. 10.1056/NEJM199603283341306

    Article  CAS  Google Scholar 

  30. Rozanski A, Blumenthal JA, Kaplan J: Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation 1999,99(16):2192–2217.

    Article  CAS  Google Scholar 

  31. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L: Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004,364(9438):937–952. 10.1016/S0140-6736(04)17018-9

    Article  Google Scholar 

  32. Rugulies R: Depression as a predictor for coronary heart disease. a review and meta-analysis. Am J Prev Med 2002,23(1):51–61. 10.1016/S0749-3797(02)00439-7

    Article  Google Scholar 

  33. Mayou RA, Gill D, Thompson DR, Day A, Hicks N, Volmink J, Neil A: Depression and anxiety as predictors of outcome after myocardial infarction. Psychosomatic medicine 2000,62(2):212–219.

    Article  CAS  Google Scholar 

  34. Rozanski A, Blumenthal JA, Davidson KW, Saab PG, Kubzansky L: The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice: the emerging field of behavioral cardiology. Journal of the American College of Cardiology 2005,45(5):637–651. 10.1016/j.jacc.2004.12.005

    Article  Google Scholar 

  35. Fogel J, Fauerbach JA, Ziegelstein RC, Bush DE: Quality of life in physical health domains predicts adherence among myocardial infarction patients even after adjusting for depressive symptoms. Journal of psychosomatic research 2004,56(1):75–82. 10.1016/S0022-3999(03)00563-4

    Article  Google Scholar 

  36. Horwitz RI, Horwitz SM: Adherence to treatment and health outcomes. Archives of internal medicine 1993,153(16):1863–1868. 10.1001/archinte.153.16.1863

    Article  CAS  Google Scholar 

  37. Horwitz RI, Viscoli CM, Berkman L, Donaldson RM, Horwitz SM, Murray CJ, Ransohoff DF, Sindelar J: Treatment adherence and risk of death after a myocardial infarction. Lancet 1990,336(8714):542–545. 10.1016/0140-6736(90)92095-Y

    Article  CAS  Google Scholar 

  38. Dixon T, Lim LL, Heller RF: Quality of life: an index for identifying high-risk cardiac patients. J Clin Epidemiol 2001,54(9):952–960. 10.1016/S0895-4356(01)00368-7

    Article  CAS  Google Scholar 

  39. Zeidler J, Mittendorf T, Vahldiek G, Schulenburg JM: [Comparative cost analysis of outpatient and inpatient rehabilitation for cardiac diseases]. Herz 2008,33(6):440–447. 10.1007/s00059-008-3126-0

    Article  Google Scholar 

  40. Baberg HT, Uzun D, de Zeeuw J, Sinclair R, Bojara W, Mugge A, Schubmann R: [Health promotion and inpatient rehabilitation. Long-term effects of education in patients with coronary heart disease]. Herz 2005,30(8):754–760. 10.1007/s00059-005-2645-1

    Article  Google Scholar 

  41. Voller H, Hahmann H, Gohlke H, Klein G, Rombeck B, Binting S, Willich SN: [Effects of inpatient rehabilitation on cardiovascular risk factors in patients with coronary heart disease. PIN-Study Group]. Deutsche medizinische Wochenschrift (1946) 1999,124(27):817–823. 10.1055/s-2007-1024425

    Article  CAS  Google Scholar 

  42. Schubmann RM, Vogel H, Placzek T, Faller H: [Cardiac rehabilitation--expectations and appraisals of patients]. Die Rehabilitation 2005,44(3):134–143. 10.1055/s-2005-866855

    Article  CAS  Google Scholar 

  43. Muthny FA, Berndt H, Gradaus D, Schweidtmann W: [Treatment satisfaction in cardiologic rehabilitation and attitude to various forms of rehabilitation]. Die Rehabilitation 1999,38(2):72–78.

    CAS  Google Scholar 

  44. Spencer FA, Salami B, Yarzebski J, Lessard D, Gore JM, Goldberg RJ: Temporal trends and associated factors of inpatient cardiac rehabilitation in patients with acute myocardial infarction: a community-wide perspective. J Cardiopulm Rehabil 2001,21(6):377–384. 10.1097/00008483-200111000-00006

    Article  CAS  Google Scholar 

  45. Baessler A, Fischer M, Hengstenberg C, Holmer S, Hubauer U, Huf V, Mell S, Klein G, Riegger G, Schunkert H: [Inpatient rehabilitation improves implementation of therapeutic guidelines for secondary prevention in patients with coronary heart disease]. Zeitschrift fur Kardiologie 2001,90(9):646–654. 10.1007/s003920170112

    Article  CAS  Google Scholar 

  46. McGee HM, Hevey D, Horgan JH: Psychosocial outcome assessments for use in cardiac rehabilitation service evaluation: a 10-year systematic review. Social science & medicine (1982) 1999,48(10):1373–1393.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors are indebted to Professor N Oldridge for his helpful comments on this paper.

This project was internally funded by the Austrian Pension Insurance Institution.

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Authors and Affiliations

  1. Department of Medical Psychology, Medical University Innsbruck, Innsbruck, Austria

    Stefan Höfer

  2. Ludwig-Boltzmann-Cluster, Institute for Rehabilitation, Saalfelden, Austria

    Werner Kullich

  3. Austrian Pension Insurance Institution, Pensionsversicherungsanstalt, Vienna, Austria

    Ursula Graninger & Rudolf Müller

  4. Center for Cardiac Rehabilitation, St. Radegund, Austria

    Manfred Wonisch

  5. Center for Cardiac Rehabilitation, Großgmain, Austria

    Alfred Gaßner

  6. Center for Cardiac Rehabilitation, Hochegg, Austria

    Martin Klicpera

  7. Center for Cardiac Rehabilitation, Bad Tatzmannsdorf, Austria

    Herbert Laimer

  8. Center for Cardiac Rehabilitation, Felbring, Austria

    Christiane Marko

  9. Center for Cardiac Rehabilitation, Saalfelden, Austria

    Helmut Schwann

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  1. Stefan Höfer
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  2. Werner Kullich
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Corresponding author

Correspondence to Stefan Höfer.

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Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SH drafted the manuscript and performed the statistical analysis. UG, WK and RM designed the study protocol. MW, AG, MK, HL, CM and HS organized and carried out the original study. All authors read and approved the final manuscript.

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12955_2009_616_MOESM1_ESM.DOC

Additional file 1: Table S1. Mean change [M ± standard deviation, SD], effect size statistics [ES; t0-t2] and minimal important difference [MID; t0-t2] over time in global MacNew HRQL scores according to subgroups. (DOC 82 KB)

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Höfer, S., Kullich, W., Graninger, U. et al. Cardiac rehabilitation in Austria: long term health-related quality of life outcomes. Health Qual Life Outcomes 7, 99 (2009). https://0-doi-org.brum.beds.ac.uk/10.1186/1477-7525-7-99

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  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/1477-7525-7-99

Keywords

Health and Quality of Life Outcomes

ISSN: 1477-7525

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