Psychometric properties of Aquarel. a disease-specific quality of life questionnaire for pacemaker patients

A Systematic Review and Quality Assessment of Cardiovascular Disease-Specific Health-Related Quality-of-Life Instruments Part I: Instrument Development and Content Validity

OBJECTIVES

Health-related quality-of-life (HRQoL) instruments for cardiovascular diseases (CVD) have been commonly used to measure important patient-reported outcomes (PROs) in clinical trials and practices. This study aimed at systematically identifying and assessing the content validity of CVD-specific HRQoL instruments in clinical studies.

METHODS

The research team searched Cumulative Index to Nursing and Allied Health Literature, Embase, and PubMed from inception to January 20, 2022. The research team included studies that reported the development and content validity for CVD-specific instruments. Two reviewers independently assessed the methodological quality using the Consensus-based Standards for the Selection of Health Measurement Instruments methods on evaluating content validity of PROs. Content analysis was used to categorize the items included in the instruments.

RESULTS

The research team found 69 studies reporting the content validity of 40 instruments specifically developed for CVD. Fourteen (35.0%) were rated "sufficient" with very low to moderate quality of evidence. For PRO development, all instruments were rated "doubtful" or "inadequate." Twenty-eight (70.0%) instruments cover the core concepts of HRQoL.

CONCLUSIONS

The quality of development and content validity vary among existing CVD-specific instruments. The evidence on the content validity should be considered when choosing a HRQoL instrument in CVD clinical studies and health economic evaluations.

China Health Related Outcomes Measures (CHROME): development of a descriptive system to support cardiovascular disease specific preference-based measure for the Chinese population

PURPOSE

Preference-based measures have been increasingly recommended to measure health outcomes for economic evaluation. However, none of existing cardiovascular disease (CVD)-specific health-related quality of life (HRQoL) instruments are preference-based. This study aimed to develop the descriptive system of preference-based HRQoL instrument for Chinese patients with CVDs under the Initiative of China Health Related Outcomes Measures (CHROME).

METHODS

Qualitative face-to-face interviews were conducted with Chinese patients with CVDs. Content analysis was employed to generate candidate items for the instrument. Then expert consultation and cognitive debriefing interviews were conducted to guide further selection and revision of the items.

RESULTS

We interviewed 127 CVD patients with 67.7% being male and 63.8% living in the urban area. A hierarchical code book comprised of four themes, 20 categories, 62 sub-categories, and 207 codes, was developed. Candidate items were selected based on the criteria set by the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology and ISPOR PRO guidance. An online survey and meeting with an expert advisory panel (n = 15) followed by cognitive debriefing interviews with 20 patients and 13 physicians were conducted to further select and revise the candidate items. The descriptive system of CHROME-CVD consists of 14 items, namely frequency and severity of chest pain, chest tightness, palpitation, shortness of breath, dizziness, fatigue, appetite, sleeping, mobility, daily activities, depression, worry, and social relationship. Four or five level responses were selected based on cognitive debriefing results to each item.

CONCLUSION

The current study developed the descriptive system (items and response options) of CHROME-CVD, the future CVD-specific preference-based HRQoL instrument for Chinese CVD patients.

Cross-cultural adaptation and validation of the Indonesian version of AQUAREL on patients with permanent pacemaker: a cross-sectional study

Objective

The assessment of quality of life has significant impact in device therapy. This research was aimed to translate and evaluate the validity and reliability of the Indonesian version of the AQUAREL questionnaire.

Results

We evaluated 32 patients during the cross-cultural adaptation stage and 20 patients during validity and reliability evaluation stages. Indonesian version of AQUAREL showed positive correlation between 6-min walking test and dyspnea domain (r = 0.228; p = 0.048), and showed negative correlation between NT pro-BNP and chest discomfort (r = − 0.231; p = 0.043) and dyspnea domain (r = − 0.268; p = 0.020). The total AQUAREL also showed positive moderate correlation toward total SF-36 (r = 0.543; p = 0.000). The internal consistency was good (Cronbach α = 0.728) and the repeatability between day 1 and day 8 was good, with moderate positive correlation (r = 0.581; p = 0.007).

Electronic supplementary material

The online version of this article (10.1186/s13104-019-4208-1) contains supplementary material, which is available to authorized users.

Remote control improves quality of life in elderly pacemaker patients versus standard ambulatory-based follow-up

BACKGROUND

Health-related quality of life (HRQoL) improves shortly after pacemaker (PM) implantation. No studies have investigated the HRQoL trend for elderly patients with a remote device monitoring follow-up system.

METHODS

Using EuroQol-5D Questionnaire and the PM-specific Assessment of Quality of Life and Related Events Questionnaire, HRQoL was measured at baseline and then repeatedly during the 6 months following PM implantation in a cohort of 42 consecutive patients. Twenty-five patients were followed-up with standard outpatient visits, while 17 used a remote monitoring system.

RESULTS

Aquarel scores were significantly higher in patients with remote device monitoring system regarding chest discomfort and arrhythmia subscales the first month after PM implant and remained stable until 6 months. Remote monitoring affected the rate of HRQoL improvement in the first 3 months after pacemaker implantation more than ambulatory follow-up.

CONCLUSIONS

Remote device monitoring has a significant impact on HRQoL in pacemaker patients, increasing its levels up to 6 months after implant.

Evaluation of patients' quality of life aspects after cardiac pacemaker implantation

Objective

To evaluate patients' quality of life aspects after pacemaker implantation, relating it to gender, age, and implantation timespan.

Methods

A total of 107 clinically stable patients of both genders (49.5% women and 50.5% men) over 18 years old (average 69.3±12.6 years) and presenting an implantation timespan of three to 12 months (average 6.36±2.99 months) were evaluated. The evaluation included personal, clinical, and implant data as well as quality of life questionnaires (AQUAREL and SF-36). Statistical analysis was conducted using the t test and Pearson correlation, with a 5% significance level.

Results

The lowest SF-36 score referred to physical aspects, and the highest score referred to social aspects. In AQUAREL, the lowest score referred to dyspnea, and the highest referred to discomfort. There was a significant association between gender and quality of life in SF-36 (physical functioning and emotional aspects) and in AQUAREL (dyspnea). A negative correlation was observed between age and quality of life (functional capacity in SF-36, and discomfort in AQUAREL) in relation to implantation timespan, a correlation with vitality from SF-36.

Conclusion

Lower quality of life scores were found in physical aspects and dyspnea; and higher scores in social aspects and discomfort. Men presented higher quality of life scores related to physical functioning, emotional aspects and dyspnea. As age increases, quality of life worsens regarding functional capacity and discomfort; and the longer the pacemaker implantation timespan, the worse quality of life when it comes to vitality. Gender, age, and implantation timespan influence quality of life; thus, these variables must be considered in strategies for improving quality of life of patients with pacemakers.

Long-term patient acceptance of and satisfaction with implanted device remote monitoring

AIMS

To evaluate patients' acceptance and satisfaction of the Home Monitoring (HM) remote control system after 1 year of follow-up by a self-made questionnaire (HM Acceptance and Satisfaction Questionnaire, HoMASQ) specifically designed for this purpose.

METHODS AND RESULTS

The HoMASQ contains 12 items designed to investigate five different aspects strictly connected to patient's acceptance and satisfaction of remote monitoring: (i) relationship with their healthcare provider, (ii) easy of use of HM technology, (iii) related psychological aspects, (iv) implications on general health, and (v) overall satisfaction. Each item was rated on a five-point scale: from 0 to 4 with favourable responses score > or =2. The theoretical maximum total score (the highest detected acceptance and satisfaction level) was 48. The HoMASQ was given to 119 patients followed by HM during the 1-year follow-up visit. Ninety-nine percent of all the administered questionnaire items were answered. The mean total score was 40.8 +/- 5.4 with a mean percentage of favourable answers of 96.3 +/- 18.8% (CI 95.2 - 97.2%). The mean scores for each of the five areas of the HoMASQ were: 3.0 +/- 0.9 for relationship, 3.4 +/- 0.6 for easy of use, 3.4 +/- 0.9 for psychological aspects, and 3.4 +/- 0.8 for clinical implication and overall satisfaction. Cronbach's alpha for reliability of the HoMASQ was 0.73.

CONCLUSION

A high level of acceptance and satisfaction after 1-year remote control by HM was detected by the five-point scale HoMASQ, which showed a good internal reliability.

Health-related quality of life in Brazilian pacemaker patients

BACKGROUND

Most quality of life (QoL) studies of pacemaker patients have been conducted in either North America or Europe and their applicability to Latin American populations is largely unknown. Our aim is to study health-related QoL indices in Brazilian pacemaker patients and their determinants using both a generic (SF-36) and a disease-specific questionnaire (AQUAREL).

METHODS

The study enrolled 139 clinically stable patients (aged 59 +/- 14, 60.4% female) without any communication or cognitive impairments who went to the Pacemaker Laboratory for postimplantation follow-up. All patients were submitted to a standard protocol, which included an interview, functional class assessment, and QoL questionnaires. Additionally, 74 patients were requested to perform a 6-minute walk test.

RESULTS

Female patients and patients without a partner displayed low QoL scores in both the SF-36 mental component summary and the AQUAREL arrhythmia domain. Chagas disease patients displayed low scores only in AQUAREL domains. All health-related QoL scores were low in patients with the worst, high-numbered functional classes, the strongest determinant of low QoL scores in multivariate analysis.

CONCLUSION

In this first systematic study of QoL in a Latin American pacemaker population, AQUAREL detected well-impaired health-related QoL scores in different groups of patients, particularly in those with Chagas disease. Heart failure, evaluated by functional class, was the strongest predictor of low QoL in pacemaker patients.

Predictors of improved quality of life 1 year after pacemaker implantation

BACKGROUND

Patient's health-related quality of life (HRQoL) of pacemaker (PM) patients has increasingly become an important issue of health care evaluation. Currently, knowledge of pacing performance and technology is more or less outlined. However, determinants of poor or good HRQoL of paced patients require further elucidation.

OBJECTIVES

The purpose of this study is to determine the HRQoL 1 year after PM implantation and predictors of differences in HRQoL between pre- and post-PM implantation.

METHODS

We quantified the mean differences between HRQoL before implantation (baseline) and 1 year later, assessed with the generic Medical Outcomes Survey 36-Item Short-Form Survey and EuroQol (EQ5D), and the PM patient-specific AQUAREL (Assessment of QUality of life And RElated events) questionnaires, in 501 consecutively included patients in the Dutch multicenter longitudinal FOLLOWPACE cohort study. Multivariable linear regression modeling was then performed to determine predictive factors of the HRQoL 1 year after implantation.

RESULTS

The HRQoL of the patients increased markedly in the first year after implantation. Seventy percent of the patients considered their health improved, whereas 11% experienced a complete recovery in HRQoL. The most important predictors for improved HRQoL after 1 year were HRQoL at baseline, age, presence of cardiac comorbidities, and atrial fibrillation with slow ventricular response as indication for chronic pacing.

CONCLUSION

In most patients receiving a PM, HRQoL increased in the first year after PM implantation. Knowledge of the predictors of this increase may aid physicians to timely differentiate between patients who most likely will benefit most from PM implantation in terms of HRQoL.

The contribution of rate adaptive pacing with single or dual sensors to health-related quality of life

AIMS

The characteristics of sensors to perform rate adaptive pacing are well established but whether their contribution improves health-related quality of life (QoL) remains disputable. To compare the effects on QoL with an integrated dual sensor [minute ventilation (MV) and acceleration, TT sensor] with a single MV sensor, and with no rate adaptive pacing.

METHODS AND RESULTS

This Dutch multi centre, prospective, single- (patient) blind study was performed in patients after first pacemaker (PM) implant for sick sinus syndrome or AV block. After a 3-month 'sensor off'-period following DDD PM implantation, where the latter 2 months permitted the MV sensor to learn the intrinsic rhythm, a 2-month period of DDDR with TT sensor or 2 months of DDDR with MV sensor, subsequently the two modes were crossed over. Quality of life was determined with Aquarel, the disease-specific instrument for PM patients. Heart rate, percentages of sensor driven and intrinsic rhythm were retrieved from PM memories. Sixty-four patients completed the 7-month study. In sick sinus patients, percentages of sensor-driven pacing occurred significantly more frequently than in AV block patients After implant QoL improved significantly: before 71.3 and after 83.5% (P < 0.001) measured with Aquarel and in 3 of 9 SF-36 scales, but no significant additive QoL benefit with dual or MV sensor pacing was observed. Pacing diagnosis, percentages of rate adaptive pacing, and heart rate influencing medication did not influence this result.

CONCLUSION

Pacemaker implantation strongly improves QoL, but neither single- nor dual- sensor-driven pacing offered additional improvement in QoL during the initial 8 months after the first PM implant.

Clinical predictors of health-related quality of life after pacemaker implantation

BACKGROUND

Health-related quality of life (HRQL) is increasingly accepted as an outcome measure when considering the effectiveness of therapeutic interventions. Little is known about the HRQL of patients with different clinical circumstances before and after pacemaker implantation (PMI). The purpose of this study was to investigate the influence of clinical symptoms and ECG diagnoses as predictors of improved HRQL in patients referred for PMI.

METHODS

Sixty eight patients with different indications for PMI completed the MacNew Heart Disease Health-related Quality of Life Questionnaire (MacNew) and the Short Form-36 Health Survey (SF-36) before and one, three and six months after PMI. Symptoms, ECG indications and pacing mode were collected using the European Pacemaker Patient Identification Card codes.

RESULTS

Within the first month after PMI overall Mac-New but not SF-36 scores improved significantly and was maintained during the entire 6 month follow up period. Improvement in HRQL as measured with the MacNew was rather related to baseline symptoms and ECG diagnosis than to the pacing mode.

CONCLUSION

The important finding of this study is that improved HRQL seen after PMI appears to be largely driven by baseline symptoms and the ECG diagnoses rather than the pacing mode of the device.

FOLLOWPACE study: a prospective study on the cost-effectiveness of routine follow-up visits in patients with a pacemaker

AIMS

This communication describes the design of the FOLLOWPACE study. The overall aim of FOLLOWPACE is to quantify the cost-effectiveness of routine follow-up visits in patients with a pacemaker (PM). Specific aims are (i) to quantify the incidence of complications and the quality of life 1 year after PM implantation; (ii) to quantify which baseline characteristics measured during implantation are predictors of the occurrence of complications and quality of life after 1 year; (iii) to determine the added predictive value of follow-up measurements to improve the efficiency of follow-up and to demonstrate which follow-up measurements are redundant.

METHODS AND RESULTS

FOLLOWPACE is a prospective, observational, prognostic cohort study. About 40 PM centres in the Netherlands will participate to include about 2,500 patients. Each patient aged >or=18 receiving a PM for the first time is eligible. At baseline, i.e. time of implantation, all potential predictors of complications and quality of life after 1 year are documented. After implantation, follow-up visits will be carried out conforming with routine care, usually three in the first year. At these visits, other potential prognostic predictors will be documented. Primary outcome is the incidence of PM- or cardiac complications at 1 year. Secondary outcome parameters are quality of life and costs after 1 year.

CONCLUSION

This study will lead to definition of a more efficient routine follow-up schedule for patients with a PM, aiming to reduce time and energy while preserving the safety of pacing therapy and the prognosis of the patient. The study will ultimately provide evidence-based guidelines for PM follow-up including knowledge of the responsibilities of cardiologists, technicians, and representatives of PM manufacturers.

Psychometric Properties of an Established Heart Disease Specific Health-related Quality of Life Questionnaire for Pacemaker Patients

Little is known about the HRQL of pacemaker patients due to the limited availability of disease-specific instruments. The aim of the Pacemaker Patients Quality of Life (PAPQoL) study was to determine the psychometric properties for the MacNew Heart Disease Health-related Quality of Life Questionnaire (MacNew) in patients before and after pacemaker implantation. Patients with a given indication for pacemaker therapy (N = 68) completed two self-administered HRQL instruments, the SF-36, a well-known and psychometrically sound health survey, and the MacNew, a reliable and valid heart-disease-specific HRQL instrument, before and one, three and six months after pacemaker implantation. We assessed disease severity with the New York Heart Association (NYHA) classification. Test-retest reliability, intra-class correlation, Cronbach's alpha, validity coefficients, sensitivity analyses (effect sizes) and confirmatory factor analysis were carried out. The MacNew demonstrated adequate reliability (Cronbach's alpha and ICCs > 0.80 on all scales), validity (correlations between similar SF-36 and MacNew subscales > 0.80), and responsiveness (all effect sizes > or = 0.67) in pacemaker patients. The MacNew demonstrates adequate psychometric properties for evaluating HRQL in patients before and after pacemaker implantation.

Measuring patient acceptance of implantable cardiac device therapy: initial psychometric investigation of the Florida Patient Acceptance Survey

INTRODUCTION

Patient acceptance of implantable device therapy has been established as an important outcome but the operationalization and validation of a measure of patient acceptance of implantable device therapy has not been fully completed. This study sought to validate a new measure of patient acceptance of cardiac implantable devices called the Florida Patient Acceptance Survey (FPAS).

METHODS

The sample consisted of implantable cardioverter defibrillator (ICD; n = 58), and implantable atrioverter defibrillator (ICD-AT; n = 96), and pacemaker (PM, n = 84) patients. Mean age of all participants was 69 years; they were mostly male (62%) and married (75%). The final FPAS comprised 15 items with four consistent factors: Return to Function, Device-Related Distress, Positive Appraisal, and Body Image Concerns.

RESULTS

The total FPAS demonstrated good internal consistency (Cronbach's alpha = 0.83), and internal consistency for each of the subscales ranged from 0.74 to 0.89. The FPAS demonstrated convergent, divergent, and discriminant validity when compared to other self-report measures of QOL, atrial symptoms, depression, and anxiety. A total FPAS score can be formed and between group comparisons with this sample indicated that ICD patients report a high level of acceptance (mean = 76), ICD-AT patients report a significantly higher level of acceptance (mean = 81.1), and PM patients reported the highest level of patient acceptance (mean = 85.4) of these implantable device groups.

CONCLUSION

This initial psychometric investigation of the FPAS suggests that the FPAS may be useful in both clinical and research settings to assess patient acceptance of implantable cardiac devices.

The relevance of health related quality of life in paced patients

With the tremendous advances in cardiac pacing during the past four decades, cardiac pacemaker implantation is now a common clinical procedure. In recent years, the indications for permanent pacemakers have expanded. This increase in reasons for pacing and shift in mode of pacing have been caused by the evolution of pacemaker therapy from a life-saving measure (mortality), to one aimed at improving health-related quality of life (HRQoL). Until now the efficacy of pacing therapy has predominantly been measured using "objective" criteria. However, in recent years the importance of HRQoL as an outcome measure has increasingly been recognized as patients prefer quality over quantity of life. In this review we describe the development and testing of Aquarel, a new developed HRQoL questionnaire for pacemaker patients, composed of a generic core module with disease specific add-ons. Current and future research to improve the Aquarel questionnaire is also described.

Individual optimization of pacing sensors improves exercise capacity without influencing quality of life

INTRODUCTION

Programmable pacemaker sensor features are frequently used in default setting. Limited data are available about the effect of sensor optimization on exercise capacity and quality of life (QOL). Influence of individual optimization of sensors on QOL and exercise tolerance was investigated in a randomized, single blind study in patients with VVIR, DDDR, or AAIR pacemakers.

METHODS

Patients with > or =75% pacing were randomized to optimized sensor settings (OSS) or default sensor setting (DSS). Standardized optimization was performed using three different exercise tests. QOL questionnaires (QOL-q: Hacettepe, Karolinska, and RAND-36) were used for evaluation of the sensor optimization. One month before and after optimization, exercise capacity using chronotropic assessment exercise protocol and the three QOL-q were assessed.

RESULTS

Fifty-four patients (26 male, 28 female) with a mean age of 65 +/- 16 years were enrolled in the study. In each group (OSS and DSS) 27 patients were included. One month after sensor optimization, the achieved maximal heart rate (HR) and metabolic workload (METS) were significantly higher in OSS when compared with DSS (124 +/- 28 bpm vs 108 +/- 20 bpm, P = 0.036; 7.3 +/- 4 METS vs 4.9 +/- 4 METS, P = 0.045). Highest HR and METS were achieved in patients with pacemakers with accessible sensor algorithms. In patients with automatic slope settings (33%), exercise capacity did not improve after sensor optimization. QOL did not improve in OSS compared with DSS.

CONCLUSION

After 1 month of individual optimization of rate response pacemakers, exercise capacity was improved and maximum HR increased, although QOL remained unchanged. Accessible pacemaker sensor algorithms are mandatory for individual optimization.