FACTORS ASSOCIATED WITH QUALITY OF LIFE IN CANCER PATIENTS IN A SOCIAL SECURITY PAIN THERAPY UNIT

ORIGINAL ARTICLE

REVISTA DE LA FACULTAD DE MEDICINA HUMANA 2021 - Universidad Ricardo Palma
10.25176/RFMH.v23i2.5649

FACTORS ASSOCIATED WITH QUALITY OF LIFE IN CANCER
PATIENTS AT A SOCIAL SECURITY PAIN THERAPY UNIT

FACTORES ASOCIADOS A LA CALIDAD DE VIDA EN PACIENTES CON CÁNCER EN UNA UNIDAD DE TERAPIA DEL DOLOR DE LA SEGURIDAD SOCIAL

Gloria Pacheco-Feijoó ORCID 1,a, Luis Podestá-Gavilano ORCID 1,a,
Katherine Quevedo-Porras ORCID 1,c, José Amado-Tineo ORCID 1,c

1Universidad Nacional Mayor de San Marcos. Lima, Peru.
aSurgeon.
bMedical doctor.
cMaster in palliative care and PAIN management.

ABSTRACT

Introduction: Quality of life is one of the main concerns for cancer patients in palliative care; however, studies on quality of life in these patients are limited. Objective: To determine the factors associated with quality of life in patients with oncological disease in palliative care. Methods: Observational, analytical study in 184 cancer patients treated in a Pain and Palliative Care Unit during 2021. The dependent variable was quality of life; independent variables were age, sex, education level, occupation, oncological diagnosis, disease duration, and stage. Crude (RP) and adjusted (aRP) prevalence ratios were calculated with a 95% confidence level. Results: The median age was 63 years, and 66.3% were female. Factors associated with quality of life were breast cancer (aRP=1.21; 95% CI: 1.07-1.36; p!<0.010), prostate cancer (aRP=1.36; 95% CI: 1.18-1.56; p!<0.010), or multiple myeloma (aRP=1.33; 95% CI: 1.15-1.53; p!<0.010), compared to other cancers such as Hodgkin's lymphoma, stomach, kidney, or pancreatic cancer; disease duration longer than 36 months (aRP=1.13; 95% CI: 1.01-1.27; p=0.040), and stage III (aRP=1.30; 95% CI: 1.19-1.42; p!<0.010) were also associated with quality of life. Conclusions: Factors associated with quality of life were having breast, prostate, or multiple myeloma cancer, compared to having another type of cancer; in addition to a disease duration longer than 36 months and stage III compared to stage I/II.

Keywords: Quality of life, neoplasms, Plan Managemente. (Source: MeSH NLM).

RESUMEN

Introducción: La calidad de vida es una de las principales preocupaciones de los pacientes con cáncer en cuidados paliativos, sin embargo, los estudios sobre la calidad de vida en estos pacientes son limitados. Objetivo: Determinar los factores asociados a la calidad de vida en pacientes con enfermedad oncológica en cuidados paliativos. Métodos: Estudio observacional, analítico en 184 pacientes oncológicos atendidos en una Unidad de Dolor y Cuidados Paliativos durante el 2021. La variable dependiente fue la calidad de vida; las independientes la edad, sexo, nivel de instrucción, ocupación, diagnóstico oncológico, tiempo y estadio de enfermedad. Se calculó la razón de prevalencias cruda (RP) y ajustada (RPa) con nivel de confianza de 95%. Resultados: La edad mediana fue 63 años, y el 66,3% fueron del sexo femenino. Los factores asociados a la calidad de vida fueron cáncer de mama (RPa=1,21; IC95%: 1,07-1,36; p!<0,010), de próstata (RPa=1,36; IC95%: 1,18-1,56; p!<0,010) o mieloma múltiple (RPa=1,33; IC95%: 1,15-1,53; p!<0,010), en comparación a otros cánceres como linfoma de Hodgkin, cáncer de estómago, renal o de páncreas; el tiempo de enfermedad mayor a 36 meses (RPa=1,13; IC95%: 1,01-1,27; p=0,040) y el estadio III (RPa=1,30; IC95%: 1,19-1,42; p!<0,010) también se asociaron a la calidad de vida. Conclusiones: Los factores asociados a la calidad de vida fueron tener cáncer de mama, de próstata o mieloma múltiple, en comparación con tener otro tipo de cáncer; además de un tiempo de enfermedad mayor a 36 meses y el estadio III frente al estudio I/II.

Palabras Clave: Calidad de vida, neoplasias, manejo del Dolor. (Fuente: DeCS-BIREME).

INTRODUCTION

Cancer is a major public health problem worldwide. By 2040, 30.2 million people are expected to be living with cancer, the majority of whom will be in low- and middle-income countries (1). In these countries, most malignancies are diagnosed at advanced stages when treatment options are limited or not accessible (2). Worldwide, it is estimated that one in six deaths is due to advanced stage cancer, and 70% of deaths from this cause occur in low- and middle-income countries (3).

Patients with advanced cancer experience a variety of symptoms for which standard medical treatments may not provide sufficient relief (4). Consequently, patients seek and use palliative care as an adjunct to standard cancer care. Palliative care improves quality of life by preventing and relieving suffering through the assessment, identification, and treatment of pain and other physical or psychosocial problems, while also providing spiritual support(5).

The challenges posed by the diagnosis and treatment of cancer, changes in the relational dynamics between cancer patients and their family can have an impact on quality of life. A study in India concluded that cancer patients receiving chemotherapy had a poor quality of life (6), while Elsaie et al.(7) found that there was a significant decrease in the functional well-being of patients with colorectal cancer after chemotherapy.

There are limited data on quality of life in palliative care cancer patients in our setting and its associated factors. Gayatri et al. (2), indicated that cancer patients in palliative care who were older than 65 years, married, had a high level of education and practiced spiritual activities were more likely to have higher quality of life scores. In Sweden, it was identified that low education level and divorced/widowed marital status were significantly associated with lower quality of life in cancer patients (8).

In Peru, the standardized cancer rate is 192.6 new cases per 100,000 inhabitants, with the most frequent neoplasms being cervical, skin, breast, stomach and colorectal cancer. In addition, the death rate is 122.9 deaths per 100,000 inhabitants (9). The deterioration in quality of life begins after diagnosis and persists due to the vigorous nature of the treatment. Although chemotherapy has a therapeutic effect, it is associated with the development of severe unfavorable drug reactions that can have adverse effects on an individual's quality of life. In addition, cancer therapy requires prolonged duration to obtain the required effect. Frequent hospitalizations place a negative burden on cancer patients. Therefore, cancer therapy generates personal, mental and emotional distress among individuals; which affects their overall quality of life (10).

A study at the Guillermo Almenara Irigoyen National Hospital found that the quality of life of terminally ill cancer patients was fair in 41.2% of patients and low in 29.4% (11). At the Rebagliati hospital, 18% of breast cancer patients reported a low quality of life and it was acceptable in home and hospitalized patients with terminal cancer (12).

Since quality of life provides information on the effect of the disease and its treatment, recognizing common problems with appropriate approaches to solve these problems. In middle or low resource countries, quality of life is related to cancer survival and mortality rates and helps to initiate and/or strengthen palliative care programs (13). The objective of the present study was to determine the quality of life and associated factors in patients with oncologic disease in an outpatient pain therapy unit.


METHODS

Design and study área

The type of study was observational analytical cross-sectional. In the Pain and Palliative Care Unit of the Edgardo Rebagliati Martin National Hospital in Lima, Peru, which is a national referral center for social security users.

Population and sample

The population consisted of oncology patients treated in the study area, corresponding to 350 cases between June and December 2021. Applying the formula to determine proportions in a finite population, a sample size of 184 patients was calculated, considering a proportion of 50%, a confidence level of 95% and an error tolerance of 5%. Non-probability sampling was used.

Adult patients of both sexes were included, with histopathological diagnosis of cancer confirmed during 6 or more previous months, in clinical stages: I, II and III, attended in the study area and accepting to participate in the study. Patients with problems that limit their ability to verbalize and/or cognitive-behavioral problems that hinder the application of the instrument and with psychological and/or psychiatric problems, with inability to answer the questionnaire, were excluded.

Variables and instruments

The variables evaluated were quality of life, age, sex, educational level, occupation, oncologic diagnosis, time and stage of disease. The "The Short Form-36 Health Survey" or SF-36 questionnaire, which has been translated into several languages and was originally adapted in Spain by Alonso, Prieto and Anto (14), was used to assess quality of life; in Peru this instrument was validated in 2012, obtaining a Cronbach's alpha of 0.82 that varied between 0.66 and 0.92 in its dimensions. Quality of life was categorized as low, medium or high (15,16)

Procedures

Participants were surveyed in the outpatient waiting room of the study area by a physician specialized in pain therapy; after obtaining informed consent, a printed questionnaire was administered to be answered in written form by the patient or family member until the sample size was completed. The responses were then entered into a virtual database.

Statistical analysis

The data were coded and analyzed with Statistical Product and Service Solutions (SPSS) version 27 software. The simple prevalence ratio (PR) and prevalence ratio adjusted (PRa) were calculated with a 95% confidence level and binary logistic regression analysis was used to determine the factors associated with quality of life, dichotomizing it into low and not low.

Ethical aspects

The project was approved by the research ethics committee of the Edgardo Rebagliati Martins National Hospital, requesting prior informed consent from each of the participants. Principles of good research practice were followed, guaranteeing the confidentiality of the data.

RESULTS

Of the 184 patients evaluated, the quality of life was low in 66.8%, medium in 8.7% and high in 24.5% (Figure 1). The median age of the patients was 63 years, 60.3% were older adults, 66.3% were female, 39.1% had secondary education and 34.8% were housewives (Table 1).

Table 1. General characteristics of patients with oncologic disease seen in the Pain and Palliative Care unit of a referral hospital, July-December 2021.

General characteristics

n (%)

Age (Me; IQR)*

63; 19.5

< 60 years old

73 (39.7)

≥ 60 years old

111 (60.3)

Gender

 

Male

62 (33.7)

Female

122 (66.3)

Educational level

 

Primary

15 (8.2)

High school

72 (39.1)

Technical

32 (17.4)

University

65 (35.3)

Occupation

 

No occupation

41 (22.3)

Housewife

64 (34.8)

Self-employed

32 (17.4)

Dependent

47 (25.5)

Oncological diagnosis

 

Breast cancer

34 (18.5)

Cervical cancer

17 (9.2)

Prostate cancer

22 (12.0)

Multiple Myeloma

11 (6.0)

Lung Cancer

10 (5.4)

Colorectal Cancer

10 (5.4)

Other

80 (43.5)

Time of illness

 

> 36 months

40 (23.4)

≤ 36 months

144 (78.3)

Stage

 

I

17 (9.2)

II

77 (41.8)

III

90 (48.9)

Total

184 (100.0)

* Me: Median; IQR: Interquartile range





Figure 1. Quality of life in patients with oncological disease in the Pain and Palliative Care unit of a referral hospital,
July-December 2021.


Among the clinical characteristics, the main oncological diagnoses were breast cancer (18.5%), prostate (12.0%) and uterine cervix (9.2%). The time of oncologic disease was less than 36 months in 78.3% and most cases were in clinical stage III (48.9%) and II (41.8%). Regarding epidemiological factors, it was found that the patient's age (p=0.700), sex (p=0.256), educational level (p=0.274) and occupation (p=0.253) were not statistically significantly associated with quality of life in the bivariate analysis (Table 2).

Table 2. Epidemiological factors associated with quality of life in patients with oncologic disease in the Pain and Palliative Care unit of a referral hospital, July-December 2021.

Epidemiological factors

Quality of Life

Low

Regular/High

PR(c) (CI 95%)

P value

 

n = 123 (%)

n = 61 (%)

 

 

Age

       

< 60 years old

50 (40.7)

23 (37.7)

0.98 (0.88 - 1.09)

0.70

≥ 60 years old

73 (59.3)

38 (62.3)

   

Gender

       

Female

85 (69.1)

37 (60.7)

1.06 (0.96 - 1.19)

0.26

Male

38 (30.9)

24 (39.3)

   

Educational level

       

Primary

13 (10.6)

2 (3.3)

0.85 (0.71 - 1.01)

0.06

High school

47 (38.2)

25 (41.0)

1.01 (0.89 - 1.13)

0.91

Technical

20 (16.3)

12 (19.7)

1.027 (0.89 - 1.19)

0.72

University

43 (35.0)

22 (36.1)

   

Occupation

       

No occupation

31 (25.2)

10 (16.4)

0.89 (0.77 - 1.02)

0.10

Housewife

49 (39.8)

15 (24.6)

0.88 (0.77 - 1.00)

0.053

Self-employed

15 (12.2)

17 (27.9)

1.09 (0.94 - 1.27)

0.260

Dependent

28 (22.8)

19 (31.1)

 

 

PR(c)= Prevalence ratio crude



Of the clinical factors analyzed, it is noteworthy that oncologic diagnosis is a factor associated with quality of life; thus, patients with breast cancer (PRc=1.286; 95% CI: 1.129 -1. 464; p<0.001), prostate cancer (PRc=1. 387; 95%CI: 1.209-1.591; p<0.001) and multiple myeloma (PRc=1.350; 95%CI: 1.117-1.630; p=0.002) increase the prevalence of having a low quality of life. Likewise, cancer stage III (PRc=1.461; 95%CI: 1.346-1.585; p<0.001) and disease time > 36 months (PRc=1.170; 95%CI: 1.043-1.314; p=0.008) were other associated factors (Table 3). Other cancers included Hodgkin's lymphoma, stomach, renal and pancreatic cancer.

Table 3. Clinical factors associated with quality of life in patients with oncologic disease in the Pain and Palliative Care unit of a referral hospital, July-December 2021.

Clinical Factors

Quality of life

 

 

Low

Regular/High

PR(c) (CI 95%)

Valor p

n = 123 (%)

n = 61 (%)

 

 

Oncologic diagnosis

       

Breast cancer

15 (12.2)

19 (31.1)

1.29 (1.13 - 1.46)

<0.01

Cervical cancer

16 (13.0)

1 (1.16)

0.87 (0.77 - 0.99)

0.06

Prostate cancer

7 (5.7)

15 (24.6)

1.39 (1.21 - 1.59)

<0.01

Multiple Myeloma

4 (3.3)

7 (11.5)

1.35 (1.12 - 1.63)

<0.01

Lung Cancer

9 (7.3)

1 (1.6)

0.91 (0.75 - 1.09)

0.30

Colorectal Cancer

9 (7.3)

1 (1.6)

0.91 (0.75 - 1.09)

0.30

Other

63 (51.2)

17 (27.9)

-

 

Time of illness

       

> 36 months

33 (26.8)

7 (11.5)

1.17 (1.04 - 1.31)

<0.01

≤ 36 months

90 (73.2)

54 (88.5)

   

Stage

       

III

83 (67.5)

7 (11.5)

1.46 (1.35 - 1.59)

<0.01

I / II

40 (32.5)

54 (88.5)

 

 

PR(c)= Prevalence ratio crude



The multivariate analysis corroborated that epidemiological factors do not influence the low quality of life in oncology patients. On the other hand, clinical factors showed that oncologic diagnosis such as breast cancer (PRa=1. 208; 95%CI: 1.074-1.360; p=0.002), prostate cancer (PRa=1.356; 95%CI: 1.182-1.556; p<0.001),myeloma (PRa=1. 329; 95%CI: 1.152-1.533; p<0.001), disease time greater than 36 months (PRa=1.129; 95%CI: 1.008-1.265; p=0.035) and stage III (PRa=1.299; 95%CI: 1.189-1.420; p<0.001) were what influenced quality of life (Table 4)

Table 4. Epidemiological and clinical factors influencing the quality of life of patients with oncologic disease in the Pain and Palliative Care unit of a referral hospital, July-December 2021

Epidemiological and clinical factors

PR (a) (95% CI)

P value

Age < 60 years old

0.98 (0.90 – 1.07)

0.66

Gender (Female)

0.93 (0.83 – 1.05)

0.22

Level of education:   Primary

1.00 (0.84 – 1.19)

0.99

                                  High school

1.04 (0.94 – 1.14)

0.45

                                  Technical

1.00 (0.89 – 1.13)

0.96

                                  University

   

Ocupación: None

0.86 (0.77 – 0.97)

0.22

                           Housewife

0.92 (0.81 – 1.05)

0.21

                           Self-employed

1.03 (0.90 – 1.18)

0.68

                           Dependent

   

Type of Cancer: breast

1.21 (1.07 – 1.36)

<0.01

                           uterine cervix

0.90 (0.78 – 1.05)

0.19

                           prostate

1.36 (1.18 – 1.56)

<0.01

                           Multiple Myeloma

1.33 (1.15 – 1.53)

<0.01

                           Lung Cancer

0.96 (0.82 – 1.12)

0.57

                           Colorectal cancer

0.91 (0.75 – 1.09)

0.30

                           Other

   

Time of disease (> 36 meses)

1.13 (1.01 – 1.27)

0.04

Stage (III)

1.30 (1.19 – 1.42)

<0.01

PR(a)= Prevalence ratio adjusted; CI = Confidence Interval



DISCUSSION

The patients treated on an outpatient basis in a pain therapy unit of one of the largest hospitals in Peru had a low quality of life, being more frequent in older adults, females, with secondary education and housewives. These results are similar to those identified by Seol et al. (17) in Korea, who reported that 61.5% of cancer patients undergoing radiotherapy were female and 50% completed secondary education, where the quality of life of patients is generally fair, but improves after radiotherapy. Also, Nayak et al. (18), in India, when evaluating 768 cancer patients, described that 30.2% were in the age group of 51 to 60 years, 57.2% were women, 49% were housewives, however, 39.2% of them had primary education, and almost all the patients had a low quality of life (82.3%). (19), in China, reported that the majority of adult patients with acute leukemia were men (54.6%) under 45 years of age (69.9%), who tend to have a lower quality of life than other demographic subgroups.

Among the epidemiological factors analyzed, age, sex, level of education or occupation of the patient were not associated with quality of life in the bivariate analysis. Multivariate analysis corroborated this absence of association between variables and quality of life in oncology patients in palliative care. Similar results were identified by Lewandowska et al. (20), who showed that there was no correlation between quality of life and age, gender, social status, marriage and work. In contrast, Üstündağ et al. (21), identified that women experienced worse physical and social well-being than men. Singles had worse psychological and general well-being. Housewives had the worst physical and social well-being. However, there was no significant relationship between educational level and quality of life.

When multivariate analysis was performed among clinical factors, clinical diagnosis behaved as an associated factor, so that breast cancer, prostate cancer and multiple myeloma increased the probability of poor quality of life compared to other types of cancer. The results are similar to those identified in previous studies, in this regard Knobf et al. (22), mentioned that patients with advanced breast cancer had a lower quality of life due to their modified body image. Likewise, Üstündağ et al. (21), referred that patients with breast cancer and sarcoma had the worst social well-being than other cancer patients. Quality of life is highly dependent on health status, i.e., the impact of the disease and treatment on the patient's physical functioning. Cancer has a versatile impact on the lives of those affected, especially during treatment. It causes a decrease in the patient's physical activity and influences a change in appearance and a loss of a sense of attractiveness, which in turn reduces the patient's self-esteem (23). Particularly, the side effects caused by breast and prostate cancer generate hair loss, changes in body image, decreased sexual functions and libido as well as decreased quality of social life due to early menopause in case of breast neoplasms (24). Patients with multiple myeloma and renal cancer may have been affected by body changes worsened by the disease.

Time of disease > 36 months and stage III were other factors associated with quality of life. In contrast to what was reported in the study, according to Nayak et al (25), cancer stage was not significantly related to quality of life. However, 57.7% were described as having stage III disease, and the quality of life of most patients was influenced by their symptoms; 82.3% had low quality of life scores. Also, Ramasubbu et al. (26), established that no significant differences were found when quality of life scores and disease stage were compared.

To achieve the best possible quality of life despite the disease, it is important to periodically assess the quality of life of patients to quickly assess problems in each sphere of life, which will identify high-risk patients and allow early intervention based on identified needs or deficits. Undetected and untreated disorders threaten the results of cancer therapies, reduce patients' quality of life and increase healthcare costs.

One of the limitations of the present study is that it was carried out in a single institution, where only patients belonging to the social security system were included, and where different types and stages of cancer were included. However, it is one of the few local reports on the subject and will serve as a basis for the study of quality of life in specific types of cancer patients in our environment. Since it is a cross-sectional study, the cause-effect association may be questioned, but the nature of the variables justifies this comparison.

Finally, it is concluded that the factors associated with low quality of life in outpatients in a pain therapy unit of a referral hospital were breast cancer, prostate cancer, multiple myeloma, time of illness greater than 36 months and stage III.


Authorship contributions:: The authors participated in the genesis of the idea, design of project, collection and interpretation of data, analysis of results and preparation of the manuscript of this research work.
Financing: Self financed.
Conflicts of interest:: The authors declare have no conflicts of interest.
Received: December 27, 2022
Approved: 15 de marzo, 2023.


Correspondence: José Amado-Tineo.
Adress: Jr. Belisario Flores 238 Dpto 301 Lince, Lima - Peru.
Phone: +51 990 452 547
E-mail: jamadot@unmsm.edu.pe


Article published by the Journal of the faculty of Human Medicine of the Ricardo Palma University. It is an open access article, distributed under the terms of the Creatvie Commons license: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/1.0/), that allows non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited. For commercial use, please contact revista.medicina@urp.edu.pe.


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