Original Article |
Corresponding author: Maria Polikandrioti ( mpolik2006@yahoo.com ) © 2022 Maria Polikandrioti.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Polikandrioti M (2022) Quality of life of patients with cardiac pacemaker: levels, associated characteristics, and the impact of anxiety and depression. Folia Medica 64(1): 117-127. https://doi.org/10.3897/folmed.64.e63234
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Introduction: Implantation of a permanent cardiac pacemaker (PPM) improves recipients’ quality of life (QoL). However, psychiatric disturbance may adversely affect QoL and undermine clinical outcomes.
Aim: To explore impact of anxiety and depression on QoL of PPM recipients.
Materials and methods: A hundred and fifty PPM recipients were enrolled. Data collection was performed by completing the Hospital Anxiety and Depression Scale (HADS) and the SF-36 Health Survey (SF-36). Demographic characteristics were also included. The statistical significance level was p<0.05.
Results: Almost a quarter of the patients experienced anxiety (25.3%) and depression (26.0%). In terms of QoL, patients showed moderate to high levels in social functionality, energy/fatigue, emotional well-being and pain (median: 50, 60, 72, and 67.5, respectively) and poor levels in physical functioning, physical role and emotional role (medians: 22, 0, and 0 respectively). In addition, patients had moderate levels of general health (median 48.5). All QoL subscales were negatively associated with anxiety and depression of patients on a univariate level (p<0.05). Regarding demographic variables affecting QoL, age was statistically significantly associated with physical role (p=0.025), emotional role (p=0.005), social functioning (p=0.033), and pain (p=0.018). Furthermore, physical role was statistically significantly associated with number of children (p=0.024), emotional role with education level (p=0.011), social functioning with family status (p=0.018), and general health with residency (p=0.006).
Conclusions: Demographic characteristics and anxiety/depression are related with QoL. A better understanding of these associations may help clinicians in planning rational and cost-effective interventions.
anxiety, depression, quality of life, HADS, SF36, pacemaker
During recent decades, implantation rates of permanent cardiac pacemakers (PPMs) have increased dramatically mainly due to improvements in diagnosis of cardiac diseases[
According to estimates, over one million PPMs are implanted globally every year[
Implantation rates are increasing markedly with advancing age. More in detail, 70%–80% of all PPMs are implanted in individuals aged more than 65 years while incidence rates for men exceed those for women.[
This electronic device improves patients’ quality of life (QoL) up to one year post implantation.[
According to guidelines, monitoring of recipients is suggested in periods between 3 and 12 months post implantation.[
Anxiety and depression is not uncommon for PPM patients. Several factors may trigger this emotional burden such as fear of device malfunction or dependency on health professionals, necessary modifications in lifestyle, limitations in daily activities, physical discomfort or technical issues including battery depletion.[
Therefore, this psychiatric disturbance exerts a negative influence on patients’ QoL. Deeper insights are needed to comprehensively elucidate the impact of anxiety and depression on QoL of PPM patients.
Hence, the aim of this cross-sectional study was to explore the impact of anxiety and depression on QoL of PPM recipients, as well as the demographic characteristics associated with QoL.
In the present study, we enrolled 150 outpatients with a PPM.
The present study was cross-sectional and the method of sampling was a convenience one. Data were collected in the outpatient department of a public hospital that patients visited for scheduled follow-up.
Criteria for inclusion in the study were: a) implantation of a pacemaker, b) the ability to write and read the Greek language fluently, and c) adequate follow-up.
The excluded patients were the ones: a) who did not understand the scale sequence, b) who were speech, hearing or mentally impaired, and c) who had an additive disease or did not wish to participate in the study.
Written informed consents for participation were obtained from all patients after providing explanation about the study purpose. Participation was on a voluntary basis and anonymity was preserved. Furthermore, all participants were informed of their rights to refuse or to discontinue their participation, according to the ethical standards of the Helsinki Declaration of 1983.
The PPM patients that agreed to participate in the study were invited to a private room to guarantee their privacy. The process of filling out the questionnaires lasted between 15 and 30 min and took place after patients had completed their follow-up in the outpatient clinic.
Data were collected by completion of the following scales: I) The Hospital Anxiety and Depression Scale (HADS), and II) The Short Form (36) Health Survey (SF-36). Data for each patient also included demographic characteristics.
To evaluate depression and anxiety, we used “The Hospital Anxiety and Depression Scale (HADS)” which was proposed in 1983 by Zigmond AS and Snaith RP.[
The “SF-36 Health Survey (SF-36)” scale was used to assess patients’ QoL. The SF-36 assesses physical and mental health of QoL. In detail, it consists of 36 questions comprising 8 dimensions: physical functioning, role-physical, emotional role, energy/fatigue, emotional well being, social functioning, physical pain, and general health. Respondents answer the questions on Likert-type scales. The scores assigned to the questions are summed up separately for the questions that evaluate the 8 dimensions. Higher scores indicate better QoL.[
Categorical data are presented with absolute and relative frequencies (%), while continuous data are presented with median and interquartile range since they did not follow the normal distribution (tested with Kolmogorov-Smirnov criterion and graphically with Q-Qplots and Histograms). Non-parametric Mann-Whitney and Kruskal-Wallis tests were used to test for the association between patients’ QoL and characteristics as well as their anxiety and depression. In addition, multiple linear regression analysis was performed to estimate the effect of anxiety/depression and patient’s characteristics on their QoL. Results are presented as β regression coefficients and 95% confidence interval (95% CI). The observed level of 5% was considered statistically significant. All statistical analyses were performed with SPSS version 22 (SPSS Inc, Chicago, IL, USA).
According to the descriptive analysis, men accounted for the 68.7% of participants. Also, 70% of the samples were over 60 years of age, 72.7% were married, and 22.7% had primary education. The majority of the sample (60.7%) were retired, were living in Attica (58%), and had two children (52.7%) (Table
n (%) | n (%) | ||
Gender | Job | ||
Male | 103 (68.7%) | Unemployed | 3 (2.0%) |
Female | 47 (31.3%) | Public servant | 12 (8.0%) |
Age (years) | Private employee | 15 (10.0%) | |
30-40 | 5 (3.3%) | Freelancer | 12 (8.0%) |
41-50 | 15 (10.0%) | Household | 17 (11.3%) |
51-60 | 25 (16.7%) | Pensioner | 91 (60.7%) |
61-70 | 68 (45.3%) | Residency | |
71-80 | 37 (24.7%) | Attica | 87 (58.0%) |
Family Status | County capital | 29 (19.3%) | |
Married | 109 (72.7%) | Small city | 13 (8.7%) |
Single | 16 (10.7%) | Rural area | 21 (14.0%) |
Divorced | 11 (7.3%) | No of children | |
Widowed | 12 (8.0%) | None | 16 (10.7%) |
Living together | 2 (1.3%) | One | 31 (20.7%) |
Education | Two | 79 (52.7%) | |
Primary | 34 (22.7%) | More than two | 24 (16.0%) |
Secondary | 58 (38.7%) | ||
University | 53 (35.3%) | ||
MSc PhD | 5 (3.3%) |
Results revealed that 25.3% of participants had anxiety (n=38) (score >8) while 26% had depression (n=39) (score >8). Cronbach’s alpha coefficients were above 0.7 indicating high reliability.
Table
Median (IQR) | |
Physical functioning (range: 0–100) | 22 (16-27) |
Role physical (range: 0–100) | 0 (0-75) |
Role emotional (range: 0–100) | 0 (0-100) |
Energy/fatigue (range: 0–100) | 60 (45-70) |
Emotional well-being (range: 0–100) | 72 (52-84) |
Social functioning (range: 0–100) | 50 (50-87.5) |
Pain (range: 0–100) | 67.5 (45-90) |
General health (range: 0–100) | 48.5 (35-65) |
Tables
Regarding energy/fatigue (Table
Regarding pain (Table
Association between patient’s characteristics and QoL in dimensions: physical functioning, role physical, role emotional
Physical functioning | Role physical | Role emotional | ||||
Median (IQR) | p | Median (IQR) | p | Median (IQR) | p | |
Gender | 0.382 | 0.576 | 0.405 | |||
Male | 21 (11-26) | 0 (0-75) | 0 (0-100) | |||
Female | 22 (10-30) | 0 (0-100) | 0 (0-100) | |||
Age, years | 0.135 | 0.025 | 0.005 | |||
≤50 | 25.5 (16-27.5) | 87.5 (0-100) | 100 (50-100) | |||
51-60 | 26 (17-27) | 0 (0-50) | 0 (0-67) | |||
61-70 | 21 (11-26) | 0 (0-87.5) | 0 (0-100) | |||
71-80 | 20 (6-28) | 0 (0-50) | 0 (0-33) | |||
Family Status | 0.283 | 0.309 | 0.491 | |||
Married / Living together | 21 (11-27) | 0 (0-100) | 0 (0-100) | |||
Single | 23.5 (21-26.5) | 0 (0-100) | 0 (0-100) | |||
Divorced / Widowed | 22 (15-27) | 0 (0-50) | 0 (0-67) | |||
Education | 0.827 | 0.060 | 0.011 | |||
Primary | 20 (14-28) | 0 (0-50) | 0 (0-33) | |||
Secondary | 21 (15-26) | 37.5 (0-100) | 50 (0-100) | |||
University | 21.5 (10-28) | 0 (0-75) | 0 (0-100) | |||
Job | 0.728 | 0.441 | 0.565 | |||
Employee | 20 (10-26) | 0 (0-100) | 33 (0-100) | |||
Household / Unemployed | 22.5 (15-28.5) | 0 (0-75) | 0 (0-100) | |||
Pensioner | 21 (14-27) | 0 (0-75) | 0 (0-100) | |||
Residency | 0.679 | 0.076 | 0.309 | |||
Attica | 21 (10-26) | 25 (0-100) | 0 (0-100) | |||
County capital | 23 (15-28) | 0 (0-75) | 0 (0-67) | |||
Small city / Rural area | 19 (15-27) | 0 (0-25) | 0 (0-67) | |||
No of children | 0.531 | 0.024 | 0.145 | |||
None | 23.5 (21-26) | 0 (0-100) | 0 (0-100) | |||
One | 20 (15-28) | 0 (0-0) | 0 (0-33) | |||
Two | 21 (10-27) | 25 (0-100) | 33 (0-100) | |||
More than two | 21.5 (14-26) | 25 (0-75) | 0 (0-100) |
Association between patient’s characteristics and QoL in dimensions: energy/fatigue, emotional well-being, social functioning
Energy/Fatigue | Emotional well-being | Social functioning | ||||
Median (IQR) | p | Median (IQR) | p | Median (IQR) | p | |
Gender | 0.283 | 0.091 | 0.523 | |||
Male | 60 (35-70) | 68 (48-84) | 50 (37.5-100) | |||
Female | 55 (35-65) | 64 (36-76) | 50 (37.5-87.5) | |||
Age | 0.287 | 0.724 | 0.033 | |||
≤50 | 60 (47.5-70) | 70 (52-80) | 87.5 (68.75-100) | |||
51-60 | 60 (45-75) | 68 (64-76) | 50 (37.5-75) | |||
61-70 | 60 (35-70) | 64 (44-76) | 50 (31.25-100) | |||
71-80 | 50 (30-65) | 68 (40-84) | 50 (25-75) | |||
Family Status | 0.219 | 0.743 | 0.008 | |||
Married / Living together | 60 (45-70) | 68 (48-80) | 62.5 (50-100) | |||
Single | 60 (32.5-72.5) | 68 (42-78) | 62.5 (18.75-87.5) | |||
Divorced / Widowed | 55 (25-65) | 60 (40-84) | 50 (12.5-75) | |||
Education | 0.067 | 0.055 | 0.523 | |||
Primary | 50 (20-65) | 56 (40-76) | 50 (37.5-75) | |||
Secondary | 60 (40-70) | 66 (40-84) | 75 (25-100) | |||
University | 60 (50-70) | 68 (52-84) | 50 (37.5-87.5) | |||
Job | 0.065 | 0.320 | 0.831 | |||
Employee | 65 (45-75) | 68 (56-80) | 75 (37.5-87.5) | |||
Household / Unemployed | 52.5 (37.5-62.5) | 64 (44-78) | 75 (50-75) | |||
Pensioner | 55 (30-70) | 64 (40-80) | 50 (25-100) | |||
Residency | 0.765 | 0.477 | 0.220 | |||
Attica | 60 (45-70) | 68 (48-84) | 75 (37.5-100) | |||
County capital | 60 (30-70) | 64 (40-76) | 50 (25-75) | |||
Small city / Rural area | 57.5 (30-70) | 64 (44-80) | 50 (25-87.5) | |||
No of children | 0.345 | 0.872 | 0.584 | |||
None | 70 (40-80) | 68 (42-78) | 50 (18.75-93.75) | |||
One | 55 (30-65) | 68 (40-84) | 50 (25-87.5) | |||
Two | 60 (40-70) | 64 (48-84) | 50 (37.5-100) | |||
More than two | 55 (40-67.5) | 72 (56-76) | 68.75 (50-100) |
Association between patient’s characteristics and QoL in pain and general health dimensions
Pain | General health | |||
Median (IQR) | p | Median (IQR) | p | |
Gender | 0.882 | 0.648 | ||
Male | 67.5 (32.5-100) | 50 (32-65) | ||
Female | 67.5 (32.5-100) | 50 (30-65) | ||
Age, years | 0.018 | 0.514 | ||
≤50 | 100 (67.5-100) | 51 (28.5-70) | ||
51-60 | 57.5 (45-67.5) | 45 (40-65) | ||
61-70 | 67.5 (32.5-100) | 55 (35-65) | ||
71-80 | 45 (22.5-100) | 45 (20-62) | ||
Family Status | 0.137 | 0.343 | ||
Married / Living together | 67.5 (32.5-100) | 50 (30-65) | ||
Single | 67.5 (45-100) | 55 (45-67.5) | ||
Divorced / Widowed | 45 (22.5-77.5) | 42 (20-55) | ||
Education | 0.346 | 0.324 | ||
Primary | 57.5 (35-77.5) | 42.5 (27-60) | ||
Secondary | 57.5 (32.5-100) | 55 (35-65) | ||
University | 77.5 (45-100) | 50 (35-70) | ||
Job | 0.596 | 0.179 | ||
Employee | 67.5 (45-100) | 55 (40-70) | ||
Household / Unemployed | 67.5 (40-77.5) | 42.5 (30-55) | ||
Pensioner | 67.5 (32.5-100) | 50 (30-65) | ||
Residency | 0.367 | 0.006 | ||
Attica | 77.5 (35-100) | 55 (35-70) | ||
County capital | 57.5 (32.5-77.5) | 40 (27-45) | ||
Small city / Rural area | 57.5 (32.5-77.5) | 51 (30-65) | ||
No of children | 0.455 | 0.484 | ||
None | 67.5 (50-100) | 53.5 (45-67.5) | ||
One | 57.5 (32.5-77.5) | 45 (30-55) | ||
Two | 67.5 (32.5-100) | 55 (30-70) | ||
More than two | 57.5 (22.5-88.75) | 42.5 (32.5-65) |
Table
Patients with anxiety had lower scores, thus meaning worse QoL in all subscales. Similarly, depression was significantly associated with QoL apart from physical functioning and role physical. Patients with depression had lower scores thus meaning worse QoL in the remaining subscales.
Anxiety | Depression | |||||
No Median (IQR) | Yes Median (IQR) | p | No Median (IQR) | Yes Median (IQR) | p | |
Physical functioning | 22.5 (15.5-28) | 13 (5-21) | 0.001 | 21 (14-27) | 21 (5-26) | 0.474 |
Role physical | 12.5 (0-100) | 0 (0-50) | 0.045 | 0 (0-100) | 0 (0-50) | 0.060 |
Role emotional | 17 (0-100) | 0 (0-33) | 0.043 | 33 (0-100) | 0 (0-33) | 0.037 |
Energy/fatigue | 60 (50-72.5) | 37.5 (20-60) | 0.001 | 60 (50-75) | 35 (20-55) | 0.001 |
Emotional well-being | 72 (56-84) | 46 (36-64) | 0.001 | 72 (56-84) | 40 (32-64) | 0.001 |
Social functioning | 75 (50-100) | 25 (12.5-50) | 0.001 | 75 (50-100) | 25 (12.5-50) | 0.001 |
Pain | 70 (45-100) | 27.5 (10-77.5) | 0.001 | 70 (45-100) | 45 (12.5-77.5) | 0.001 |
General health | 50 (35-70) | 45 (15-55) | 0.007 | 55 (40-70) | 30 (15-55) | 0.001 |
Multiple linear regression analysis was performed with dependent variables the subscales of patient’s QoL in order to estimate the effect of patient characteristics and their anxiety/depression (independent factors). Tables
Regarding the rest subscales, patients with anxiety had 8.2 points worse physical functioning (95% CI: -12.3, -4.1, p=0.001), 10.4 points worse emotional well-being (95% CI: -17.7, -3.1, p=0.006), 17 points worse social functioning (95% CI: -28.4, -5.6, p=0.004) and 16.9 points worse pain (95% CI: -30.4, -3.4, p=0.015). Similarly patients with depression had 22.8 points worse energy/fatigue (95% CI: -31.2, -14.4, p=0.001), 15 points worse emotional well-being (95% CI: -22.3, -7.8, p=0.001), 15 points worse social functioning (95% CI: -26.5, -3.5, p=0.011), and 9.6 points worse general health (95% CI: -17.7, -1.6, p=0.019).
Impact of patient’s characteristics and anxiety/depression on QoL in dimensions of physical functioning, role physical, and role emotional
Physical functioning | Role physical | Role emotional | ||||
β coeff (95% CI) | p | β coeff (95% CI) | p | β coeff (95% CI) | p | |
Age | ||||||
≤50 | - | Reference | Reference | |||
51-60 | - | -22.8 (-47.3,1.7) | 0.068 | -32.5 (-58.1,-6.9) | 0.013 | |
61-70 | - | -26.6 (-46.7,-6.5) | 0.010 | -25.9 (-46.8,-5.0) | 0.015 | |
71-80 | - | -34.4 (-56.9,-12.0) | 0.003 | -37.6 (-60.5,-14.8) | 0.001 | |
Education | ||||||
Primary | - | - | Reference | |||
Secondary | - | - | 25.4 (7.3,43.5) | 0.006 | ||
University | - | - | 14.4 (-3.8,32.6) | 0.120 | ||
No of children | ||||||
None | - | Reference | - | |||
One | - | -8.0 (-32.9,16.8) | 0.523 | - | ||
Two | - | 16.0 (-5.9,38.0) | 0.151 | - | ||
More than two | - | 19.5 (-6.5,45.5) | 0.140 | - | ||
Anxiety | ||||||
No | Reference | Reference | Reference | |||
Yes | -8.2 (-12.3,-4.1) | 0.001 | -10.3 (-26.4,5.7) | 0.206 | -14.4 (-34.2,5.3) | 0.151 |
Depression | ||||||
No | - | - | Reference | |||
Yes | - | - | -5.1 (-24.5, 14.,3) | 0.604 |
Impact of patient’s characteristics and anxiety/depression on QoL in dimensions of energy/fatigue, emotional well-being, and social functioning
Energy/Fatigue | Emotional well-being | Social functioning | ||||
β coeff (95% CI) | p | β coeff (95% CI) | p | β coeff (95% CI) | p | |
Age, years | ||||||
≤50 | - | - | Reference | |||
51-60 | - | - | -18.3 (-34.6,-1.9) | 0.029 | ||
61-70 | - | - | -15.7 (-28.4,-3.0) | 0.016 | ||
71-80 | - | - | -25.0 (-39.3,-10.7) | 0.001 | ||
Family Status | ||||||
Married / Living together | - | - | Reference | |||
Single | - | - | -8.3 (-21.8,5.2) | 0.225 | ||
Divorced / Widowed | - | - | -2.5 (-14.3,9.4) | 0.682 | ||
Anxiety | ||||||
No | Reference | Reference | Reference | |||
Yes | -4.1 (-12.4,4.2) | 0.328 | -10.4 (-17.7,-3.1) | 0.006 | -17.0 (-28.4,-5.6) | 0.004 |
Depression | ||||||
No | Reference | Reference | Reference | |||
Yes | -22.8 (-31.2,-14.4) | 0.001 | -15.0 (-22.3,-7.8) | 0.001 | -15.0 (-26.5,-3.5) | 0.011 |
Impact of patient’s characteristics and anxiety/depression on QoL in dimensions of pain and general health
Pain | General health | |||
β coeff (95% CI) | p | β coeff (95% CI) | p | |
Age, years | ||||
≤50 | Reference | - | ||
51-60 | -9.1 (-28.7,10.6) | 0.364 | - | |
61-70 | -11.3 (-26.3,3.7) | 0.138 | - | |
71-80 | -21.0 (-37.3,-4.6) | 0.012 | - | |
Residency | ||||
Attica | - | Reference | ||
County capital | - | -7.7 (-16.9,1.6) | 0.103 | |
Small city / Rural area | - | -2.9 (-11.2,5.4) | 0.490 | |
Anxiety | ||||
No | Reference | Reference | ||
Yes | -16.9 (-30.4,-3.4) | 0.015 | -4.0 (-13.8,5.7) | 0.413 |
Depression | ||||
No | Reference | Reference | ||
Yes | -2.5 (-16.1,11.1) | 0.720 | -9.6 (-17.7,-1.6) | 0.019 |
According to the results of the present study, patients showed moderate to high levels of QoL in social functionality, energy/fatigue, emotional well-being, and pain whereas poor levels in physical functioning, role physical and emotional. In addition, patients had moderate levels of general health. Barros et al.,[
Noteworthy, a great effort is noticed globally to improve all domains in QoL through incorporating measurements pre- and post-implantation in order to evaluate effectiveness of therapy. Furthermore, scheduled follow-up (face-to-face visits) in cardiology departments is prerequisite to maintain QoL and preferred by the majority of patients (83%).[
Results revealed that almost a quarter of participants had anxiety (25.3%) and depression (26.0%). A relevant recent study among 250 PPM recipients (median 71 years) showed that 27.2% and 14% experienced high levels of anxiety and depression, respectively. The same researchers also showed that 69.6% of participants described themselves as anxious while 19.6% and 23.2% reported that they experienced severe anxiety about device functioning and heart rate disorder, respectively.[
At the other end of the spectrum, implantation is a challenge for patients with mental illness. Depression is not an absolute contraindication to permanent cardiac pacing. Furthermore, the implanted device has beneficial effects on chronic bradycardia, which is associated with depression but follow-up and monitoring are needed. Strikingly, suicide attempts by intentionally removing the pacemaker system are rare, but they have adverse clinical outcomes.[
Apart from physical functioning and role physical in depression, all remaining QoL subscales were associated with anxiety and depression. The potential influence of anxiety and depression on QoL is a notable aspect in the field of PPM. Interestingly, psychiatric comorbidity exerts a negative influence on recovery or elevates the risk of future cardiovascular events, which in turn affect QoL. A three month cardiac rehabilitation program significantly improves the triad: anxiety, depression, QoL in patients with various cardiac pathology, including implantation.[
Another possible explanation for low QoL among PPM recipients who experience psychiatric disturbance is through indirect pathways, such as fatigue. For example, recipients with high levels of anxiety and depression feel more fatigue,[
Therefore, QoL measurement is beneficial when including both cardiovascular and psychological assessment. This approach helps clinicians who specialize in the field of cardiology to gain deeper understanding of the patients’ needs.[
In terms of demographic characteristics, results showed better QoL in physical and emotional role, social functioning, and in pain among participants younger than 50 years old. Possibly, the concept of QoL in younger age is more closely related to autonomy and independence than to the presence of disease. Minimization of the interval between the time of diagnosis (indication for pacing therapy) and implantation procedure might be a predictor for better QoL.[
However, as the age is advancing, the QoL is worsening in terms of functional capacity. Notably, QoL measurement among the elderly is not always attainable due to their diminished life expectancy and comorbidities.[
Regarding the other demographic characteristics related to QoL, results showed better physical role among patients having two or more children and better social functioning in married patients. This encouraging finding is largely attributed to support within family which is an already known area among cardiac patients.[
Some limitations of the study must be acknowledged. First, convenience sampling is one of the limitations because this method is not representative of all PPM patients in Greece. Furthermore, there was no longitudinal design with follow-up data on the same patients that might permit evaluation of possible changes in all dimensions (anxiety, depression and QoL). It would be interesting to monitor anxiety, depression, and QoL before implantation and 12 or 24 months after baseline. The sample size was relatively small although significant associations were observed. Future research might involve a larger sample size. Self-report questionnaires are not considered precise to make a diagnosis of anxiety, depression but they are only additive to psychiatric evaluation. The strengths of the study include the use of widespread instruments, which may permit comparisons among cardiac populations across the world.
According to the present results, almost a quarter of patients experienced anxiety and depression while poor QoL was found in physical functioning, role physical and emotional. Additionally, anxiety and depression were associated with QoL.
These results demonstrate the necessity to identify and treat the psychiatric disturbance and are also raising the issue of routine psychiatric evaluation before and after pacemaker implantation.
In clinical practice, QoL measurement can be useful for monitoring progress, and measuring clinical outcomes.
From a practical perspective, the present knowledge may help clinicians to provide a better and research-based care for this steadily increasing population.
Having as ultimate goal to improve QoL, then further studies need to research more on anxiety and depression and to examine ways to minimize this burden using a longitudinal design whereby patients are followed.
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
The author declares no conflict of interest.
The study was approved by the Medical Research Ethics Committee of the hospital.
All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.