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. 2023 Oct 31;9(11):e21243. doi: 10.1016/j.heliyon.2023.e21243

Factors influencing cancer patients’ caregivers’ burden and quality of life: An integrative review

Jotsna Akter a,b, Kennedy Diema Konlan a,c,, Meherun Nesa a,b, Aloysia Ispriantari a,d
PMCID: PMC10643105  PMID: 38027739

Abstract

This integrative review assessed the factors influencing cancer patients' caregivers’ burden and quality of life (QoL). Relevant studies were retrieved from five electronic databases and screened. After systematic screening by title, abstract, and full text, the review included 15 studies published between 2000 and 2022 and used an interpretive thematic synthesis design for analysis. Age (older), sex (male), high work requirements, relationships with patients, low-income levels, high subjective stress, patient dependency level, and trait anxiety were significantly associated with higher caregiver burden. Factors associated with the low QoL of caregivers were age (less than 35 years), caregiving role (more responsibility), relationship with patients (first-degree relative), low income, living in the same home with the patient, and higher social and family responsibilities. A moderate negative correlation (n = 6) was identified between the sum of the QoL scores and the burden. Future research should be integrated into identifying appropriate means to support caregivers of patients with chronic diseases, including cancer by segregating interventions to target specific caregiver populations.

Keywords: Caregiver burden, Quality of life, Oncology, Review

1. Introduction

Cancer and its treatment adversely affect patients' physical and psychological well-being [1]. This is because cancer is responsible for one out of every six deaths globally and is the second most common cause after cardiovascular-related deaths [1,2]. The disease burden is not limited to patients alone but significant family members, especially the informal/family caregivers. Family caregivers support patients financially, physically, emotionally, and socially and take on many responsibilities to meet patients' needs [3,4]. The role of family caregivers in cancer management is, therefore, critical in the overall prognosis of the disease [[4], [5], [6]]. Cancer caregivers are prone to critical challenges in their personal life, and the role of caregiving may make these burdens worse [7]. The impact of cancer caregiving is even worse as some family caregivers lose their jobs and source of livelihood during the period of informal caregiving [8].

The caregiving role, especially to cancer patients, can be a source of worry and difficulty as it is speculated that they face an increased burden and have a lower quality of life (QoL) [7,9,10]. The caregiving burden among cancer patients is mostly related to uncertainty in diagnosis, longer duration of illness, repeated acute phases of the disease, doubtfulness of prognosis, longer duration of treatment requirement, repeated hospital admissions, and increasing experiences of side-effects of polyvalent treatment options [6,10,11]. In low and middle-income countries like Bangladesh informal caregivers regularly stay in hospitals with high responsibilities, especially during acute episodes of the disease [12]. The repeated and prolonged admission periods for cancer patients in developing countries may burden family caregivers more than in other patients or among patients from developed countries [12]. Caregivers of highly symptomatic cancer patients are more prone to psychological, physical, financial, and social burdens [2,13]. The influence of cancer patients’ caregiver burden can be devastating and sometimes increase the need for additional care and support for both the patient and the caregiver [14,15]. The burden of caregiving also could decrease caregivers' social relationships, and this change can lead to psychological problems, and its consequences result in a deterioration of QoL [7,10].

Although there are many indications that cancer patients' family caregivers can experience burden and even develop physical symptoms, little is known about the influencing factors [7,10,16]. Diverse reviews are concerned about the care burden among caregivers of patients with dementia [17,18], stroke [19], mental illness [20], epilepsy [21], older adults [15], pancreatic cancer [22], or the burden faced by breast cancer caregivers [23]. Other reviews focused on only the QoL of caregivers of cancer patients [22,[24], [25], [26]]. However, limited reviews have assessed the factors associated with the burden and the QoL among cancer patient caregivers. This paper assessed the factors influencing the burden and the QoL of caregivers of cancer patients. Identifying, outlining, and integrating the factors associated with cancer patients' caregivers’ burden and QoL will be critical for policy formulation to mitigate those factors and improve the lifes of both patients and caregivers.

2. Methods

2.1. Study design

This integrative review discovered critical concepts related to cancer patients' caregivers' burden and the QoL. Integrative reviews usually focus on sustaining a research area and providing more comprehensive coverage of a particular field [[27], [28], [29]] by identifying important factors that influence health. The proposed six stages of the integrative review process involve: preparing the guiding question, searching or sampling the literature, data collection, critical analysis of the studies including discussion of results, and presentation of the integrative review [27]. Therefore, we adopted this design to describe the factors associated with burden on the QoL of cancer patients’ caregivers using these proposed stages.

2.2. Search strategy

This study was performed and reported based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [30,31]. Relevant studies were retrieved from five electronic databases: Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, Medline Ovid, and Web of Science. The search in this integrative review adhered to the Population, Concept, and Context (PCC) framework. The search strategy integrated terminologies for population (caregiver), concept (Burden, quality of life), and context (cancer patients). The synonyms were obtained using MeSH-controlled vocabulary in Medline Ovid, CINAHL, and Emtree words in Embase. The primary search words were first created using scoping search techniques in Medline Ovid and subsequently transferred and adjusted based on the appropriate use of Boolean operators in each database. The search was performed from 2020 until July 21, 2022.

2.3. Study selection

The findings from the database search (847 articles) were integrated through the EndNote 20 reference manager, and duplicates were deleted automatically and manually verified. Two authors (JA and MN) independently examined the retrieved search outcome (483 articles) by titles and abstracts. The selected abstracts (32) were retrieved as full articles for further screening based on predetermined criteria. The screening process was verified by one of the authors (KDK). The criteria included all types of designs involving experimental, observational, and qualitative studies. The population was caregivers of cancer patients. The exclusion criteria were studies describing the stages of palliative care, child patients involving parent-child caregiving relations, and those assessing the caregiver burden of the acute stages of cancer in the hospital setting. This exclusion criteria was used because this study sought to identify the factors that are associated with caregiver burden and its related influence on the QoL of informal caregivers of cancer patients. By consensus, the authors believed that the factors could be assessed through the stated inclusion and exclusion criteria. During the screening and selection, discrepancies were resolved by discussion until consensus in several meetings with the two other authors (KDK and AI). Finally, there were 15 articles selected as eligible for this study. The screening and selection process is shown in Fig. 1 in a PRISMA flow diagram.

Fig. 1.

Fig. 1

Figure: PRISMA, flow chart for article selection.

2.4. Quality appraisal

We used the Mixed Methods Appraisal tool (MMAT) to assess each study. Two authors (KDK, and AI) evaluated the articles separately. In instances where the two authors disagreed on the point of assessment, it was discussed until a consensus. The MMAT tool can be used to assess qualitative, quantitative, and mixed methods designs. This made it suitable for this study because of its multifaceted ability to assess multiple designs concomitantly. In using the MMAT, there are two critical screening questions before the appraisal. The screening questions are (A) the presence of clear research questions and (B) collected data addressing the research question. In this review, all the studies met these fundamental criteria. The MMAT allows that when studies meet these fundamental criteria, the appraisal of such a study can progress with the specific designated design section [32].

In this study, one study was quantitative non-randomized, and fourteen studies were quantitative descriptive. The quantitative non-randomized section assessed 1) are the participants representative of the target population, 2) are the measurements appropriate regarding both the outcome and intervention or exposure, 3) are there complete outcome data, 4) are the confounders accounted for in the design analysis, and 5) during the study period, is the intervention administered as an intended. Only one study [33] was assessed under this category. The study met the criteria except for one portion concerned that the confounders were not accounted for in the designed analysis. In the quantitative descriptive segment, the criteria included 1) Is the sampling strategy relevant to address the research question? 2) Is the sample representative of the target population? 3) Are the measurements appropriate? 4) Is the risk of nonresponse bias low? and 5) Is statistical analysis appropriate to answer the research question? All the remaining (n = 14) studies were assessed under this category. The results showed an affirmative for all the evaluation criteria for this segment.

2.5. Data extraction and analysis

Two authors performed data extraction based on a predetermined developed matrix (JA and MN). Two other authors (KDK and AI) further verified the extracted data to ensure that relevant information regarding caregiver burden and QoL was extracted. The information extracted using the matrix includes study characteristics (country, design, samples, analysis), caregiver characteristics (relationship to patients, gender, age), factors associated with caregiver burden, and QoL. The two data extractors compared results, and when they disagreed, the other authors re-examined and resolved discrepancies through discussions until consensus.

The interpretative thematic synthesis design was used for analysis [34]. The key findings were first transformed into qualitative statements. This is because, in this integrative review, there was high heterogeneity in the various studies as they used varied sample sizes, intervention approaches, designs, and inconsistent measurement tools. Consequently, we chose to use the integrative interpretative thematic synthesis analysis method to describe the factors associated with caregiver burden and QoL. Through the use of this analysis process, related statements (codes) were merged to form sub-themes and then aggregated into main themes [35]. The themes that emerged from the analysis included 1) characteristics of caregivers of cancer patients, 2) caregivers' burden, 3) caregivers' QoL, and 4) the relationship between caregivers' burden and QoL.

3. Results

3.1. Characteristics of studies

This review included 15 studies published between 2000 and 2022. The studies were conducted in 8 countries, including Turkey (n = 6) [[36], [37], [38], [39], [40], [41]], USA (n = 3) [[42], [43], [44]], Brazil (n = 1) [45], Iran (n = 1) [46], South Africa (n = 1) [33], France (n = 1) [47], South Korea (n = 1) [48], and Italy (n = 1) [49]. The studies were cross-sectional design (n = 11) [[36], [37], [38], [39], [40], [41],[44], [45], [46],48,49], longitudinal (n = 3) [42,43,47] and quasi-experimental design (n = 1) [33]. The sample ranged from 34 to 224 [44,45]. Fifteenth studies reported the mean age of the caregiver to range from 39 to 57.2 years, while one did not report the mean age [46]. The details of the study characteristics are shown in Table 1.

Table 1.

Distribution of study characteristics.

Reference Country Purpose Design Analysis Caregiver's Characteristics
Female (%) Mean age Sample Spouse/(%)
Akpinar & Yurtsever, 2018 [36] Turkey Determined the relationship between the caregiving burden and QOL of family caregivers Cross-sectional Kolmogorov-Smirnov test, Mann Whitney U test, ANOVA 67 42 67 38.3
Araújo et al., 2019 [45] Brazil Assessed the QoL and the burden of female caregivers Cross-sectional Kruskal-Wallis test, Mann-Whitney test, Spearman test NP 51.8 224 NP
Deniz & Inci, 2015 [37] Turkey Identified the burden of care and QoL of caregivers Cross-sectional Spearman's correlation, Kruskal Wallis, Mann-Whitney U test 69.9 42.2 123 NP
Gabriel & Mayers, 2019 [33] South Africa Implemented and evaluated the effectiveness of a psychosocial intervention program on the QOL and caregiver burden Quasi-experimental Independent t-tests, Chi-square tests, ANOVA 55.6 NP 108 30.6
Gaston-Johansson et al., 2004 [42] USA Determined the effects of sociodemographic variables, psychological distress, fatigue, and QOL on Burden of care in caregivers Longitudinal Spearman's correlation 25 47.6 102 87
Germain et al., 2017 [47] France Evaluated the perceived burden and the QoL of primary caregiver of patients Longitudinal Multivariable analysis, Bonferroni correction 55.2 64 96 35.4
Grant et al., 2013 [43] USA Reduced caregiver burden, improved caregiving skills, and promoted self-care Longitudinal ANOVA 64 57.2 163 68.1
Gur & Ersin, 2021 [38] Turkey Determined the care load, quality of life of caregivers, and the influencing factors Cross-sectional Kruskal-Wallis Test, Mann Whitney U test 47.5 34.8 160 NP
Nightingale et al., 2016 [44] USA Determined the relationship between perceived social support, burden; and quality of life Cross-sectional Repeated measures ANOVA 85 57 34 74
Rha et al., 2015 [48] Korea Identified factors contributing the caregiving burden and QOL Cross-sectional t-test, ANOVA, correlation, Multiple linear regression 79.2 46.2 212 48.6
Serin et al., 2020 [39] Turkey Determined the relationship between care burden and QoL Cross-sectional Mann-Whitney U test, t-test, correlation, Linear regression 75.3 39.6 89 NP
Shahvand & Sarafraz, 2020 [46] Iran Identified patients who have cancer need to receive care from their family Cross-sectional Path regression analysis NP NP 141 NP
Spatuzzi et al., 2017 [49] Italy Evaluated caregiver burden and QoL in active treatment settings and hospice care Cross-sectional Chi-square test 81.1 46.3 76 NP
Turkoglu & kilic, 2012 [40] Turkey Examined the effects of caring burdens of family caregivers of cancer patients on QoL Cross-sectional Pearson Correlation, Linear and logistic regression 58.9 42.3 190 59.3
Uzar-Ozceti & Dursun, 2020 [41] Turkey Examined the relations between resilience, caregiver burden, and QoL Cross-sectional Independent t-test, Pearson's correlation 52.4 39.6 210 NP

Legends: NP; Not reported.

3.2. Influence of caregiver burden on QoL

We used an integrative interpretative synthesis design to identify themes related to caregiver burden and QoL. In this integrative review, five key themes were identified. These five themes were 1) characteristics of caregivers of cancer patients, 2) caregivers' burden, 3) caregivers' QoL, and 4) the relationship between caregivers' burden and QoL.

3.2.1. CharacterisCtics of caregivers

Several caregiver characteristics were identified in this review (see Table 2). The parameters largely measured were age, sex, nature of the relationship with the patient, caregiver experience and duration of caregiving, and the need for help as a caregiver. The age distribution of caregivers considerably varied but mostly above 40 years [36,37,45]. The mean age of family caregivers was 42 ± 13 years [36], 51.8 ± 13.7 [45], 42.22 ± 11.68 years [37], and 35.01 ± 14.85 years [39]. We also identified that most (69.9 %) caregivers were female [37]. The nature of the relationship between caregivers and the patients indicated that diverse family members were involved in the informal caregiving. It was shown that 57.1 % of caregivers were first-degree relatives (father, mother, or children), 23.7 % were non-consanguineous, like the patients' parent-in-law, daughter-in-law, son-in-law, and wife/husband, and the others were second and third-degree relatives [44,45].

Table 2.

Distribution of the factors associated with caregiver burden and QoL.

Ref Caregiver Burden Caregivers QoL Factors Affecting QoL Relationship of Burden to QoL
Akpinar & Yurtsever, 2018 [36] Tool: Caregiver's Stress Scale (CSI)
Family members tended to cry, had stress, unhappiness, and experienced despair
Tool: Caregivers' quality of life of cancer (CQOLC)
CQOLC scores were low
Females, with formal education, a job, low incomes, caring for spouses, longer care duration have the worst QOL Higher caregiver burden was related to poor quality of life.
Araújo et al.,
2019 [45]
Tool: Zarit Burden Interview (ZBI)
Caregivers (46.4 %) had moderate burden, and 64.3 % had a significant level of burden
Tool: World Health Organization Quality of Life Brief (WHOQOL-BREF)
Mean QOL score was moderate to severe burden
Income level, number of people living in the household, and duration of care It was significant that the higher the QOL score, the lower the burden.
Deniz & Inci, 2015 [37] Tool: ZBI
Perceived burden of caregiving was high
Tool: CQOLC
Total mean quality of life score was higher
Caregiver characteristics like gender-men, poor economic status, caregiving to a spouse Increasing caregiver burden resulted in low QoL
Gabriel & Mayers, 2019 [33] Tool: ZBI
The intervention reduces the caregiver's burden decline
Tool: CQOLC
The intervention enhances the caregiver's QOL
Not Reported (NR) Psychosocial intervention reduced the caregiver burden at both T1 and T2 and improved the caregiver QOL
Gaston-Johansson et al., 2004 [42] Tool: Measurement of Objective Burden (MOB) and the Measurement of Subjective Burden
Burden means score was slightly higher than the mean subjective burden score;
Tool: Quality of Life Index (QLI)
Mean QOL scores were low
Age and subjective burden, income level, caregiver fatigue, subjective burden, trait anxiety Mean QOL scores were low and significantly intercorrelated, except for subjective burden and temporal and sensory fatigue
Germain et al., 2017 [47] Tool: ZBI
Primary caregivers felt a low burden, a mild burden, and a moderate to severe burden
Tool: Short Form Health Survey (SF-12)
QoL scores were significantly decreased by 5 points for the “emotional burden” and “physical pain” dimensions
Age of caregiver, remote relationship with the patient, non-dependent, fewer comorbidities, and a greater life expectancy of patient were determined better QoL Perceived burden was the main determinants of caregiver's QoL
Grant et al., 2013 [43] Tool: Caregiver Burden Scale
Caregivers experienced high levels of Subjective Stress; objective burden changed significantly across time, peaking at 12 weeks
Tool: City of Hope-QOL Scale – Family Version
At baseline, overall QOL was moderate and decreased significantly over time.
Help from family and/or neighbours, cleaning services, spiritual counselling, home health services, support groups for caregivers, social work, and professional counselling. Caregivers experience high levels of emotional stress related to the caregiving role and report deteriorations in psychological well-being and overall QOL over time.
Gur & Ersin, 2021 [38] Tool: ZBI
Caregivers had a low caregiving burden
Tool: CQOLC
Caregiver life quality was not at the desired level
Income status of the caregivers affected their quality of life. Care burden was affected by negative perceptions about health, while income status affected life quality
Nightingale et al., 2016 [44] Tool: Caregiver Reaction Assessment (CRA)
Caregivers showed a significant change in two of the burden subscales, including esteem and impact on health.
Tool: CQOLC
The QOL subscales showed a significant time effect on caregivers' disruption.
Higher perceived social support was associated with higher overall QOL Higher perceived social support is associated with a lower Burden and higher quality of life at T2.
Rha et al., 2015 [48] Tool: ZBI
Reported a moderate caregiving burden, although about one-quarter reported a high caregiving burden.
Tool: K-WHOQOL-BREF
QOL is moderate, with a mean score of 3.12 ± 0.50 (out of 5)
Male caregivers with more education demonstrated higher QOL
Hospitalized patients demonstrated lower QOL
Caregiving burden explained the variance of the QOL
Caregivers caring for patients with functional deterioration experienced a higher burden
Serin et al., 2020 [39] Tool: ZBI
Caregiver burden was high (43.82 ± 13.77)
Tool: QoL-FV
Negative relationship between the ZBI total score and the QoL-FV subscales
Low income, divorce, and spouse, were predictors of quality of life Care burden of caregivers increased, and QoL total scale and subscales mean scores decreased
Shahvand & Sarafraz,
2020 [46]
Tool: ZBI
Caregiver burden negatively correlated with hope.
Hope and QOL both formed strong relations with the caregiver's burden
Tool: QOL by the European Organization for Research of Cancer
Mean QOL was −45.07 ± 16.13
Lower age, female gender, lower level of education, a mixed relation, and higher levels of anxiety and depression A direct and negative relationship between caregiver burden and hope
An indirect and positive relationship between caregiver burden and QOL
Spatuzzi et al.,
2017 [49]
Tool: Caregiver Burden Inventory (CBI)
No significant difference in CBI scores between the palliative and the active group
Tool: SF-36
Palliative group has a greater general health and physical component score but a lower mental component score
NR The hospice group reported significantly lower QoL scores in the mental component summary score and higher scores in the general health subscale
Turkoglu & kilic, 2012 [40] Tool: ZBI
Caregivers had a burden for disruptiveness, positive adaptation, and financial difficulties
Tool: CQOLC
Palliative group has a greater general health and physical component score but a lower mental component score
Being under 35, having a low income, being the spouse and parent of the patient, and the patient has their room (p < 0.05) There was a negative relationship between burdens and the quality of life
Uzar-Ozceti & Dursun, 2020 [41] Tool: ZBI
Resilience negatively mediated the caregiver's burden
Tool: CQOLC
Resilience positively predicted the QoL
Caregiving process, family interdependence, social norm, and family resource Low levels of resilience, which in turn was associated with greater caregiver burden and poorer QoL

The ability of caregivers to keep to their previous work and contribute to the economic needs of the patients was also influenced by the nature of the strain required from the caregiving. This is because it was reported that 60.0 % of the caregivers had difficulties in their working life [38]. Caregivers also indicated their experience in providing caregiving services. The level of caregiving experiences varied, as 21.8 % of caregivers had previous experience providing care to another patient [38]. The strong family bonds necessitated the reasons for providing caregiving [38,44]. As part of the informal caregiving role, respondents were also engaged in diverse domestic chores and responsibilities. These caregiving functions included; participants being responsible for household chores and having paid jobs [45].

3.2.2. Caregiver burden

In this theme, two main sub-themes were identified. The level of burden and the factors that are associated with caregiver burden.

3.2.3. Caregivers' level of burden

The level of burden among caregivers was mostly measured using the Zarit caregiver burden scale [37,38,40,41,48]. The ZBI total scores range from 0 to 103 as a summed score. The average burden score was mostly reported to be very high (n = 4) among caregivers [37,38,40,41]. In other studies, the mean score of the burden interview of caregivers was 36.65 ± 11.21 [40], 32.65 ± 15.14 [38], 70.75 ± 17.09 [41]. However, other studies reported that most caregivers (46.4 %) had a moderate burden, while 64.3 % had a significant level of burden [45]. The average subscale of caregivers on the burden score average was 16.84 ± 11.58 [37]. The family caregivers of cancer patients reported experiencing a moderate caregiving burden, although about one-quarter reported a high burden [48]. The level of burden on the burden scale had an average of 14.96 ± 4.8 for disruptiveness, 12.31 ± 3.9 for positive adaptation, and 5.69 ± 3.0 for financial difficulties [40].

3.2.4. Factors associated with caregiver burden

Several factors were identified to directly influence caregivers' burden level [33,42,43]. Age (older), gender (male), subjective stress, and trait anxiety were significantly associated with higher caregiver burden [33,37,42,43]. Also, a weak positive correlation was found between the patient's age (younger) and their caregiver's emotional burden [42,48]. Other personal factors associated with the caregiver, like work, relationships with patients, and income levels, influence the caregiver's burden. The caregiving burden was significantly higher among caregivers who were employed or working [37]. The emotional burden was lower for currently working caregivers and was much influenced as the financial need for the family appeared to increase [37,48]. Caregiver burden scores were higher among caregivers who described their economic status as “poor” compared with economic status as “better” and “medium” [37].

The caregiver burden increased as the patient dependency level increased [37]. The disease level also predicted the caregiver burden as caregivers of patients with advanced-stage cancer experienced more burden [48]. Level of care also influenced other social activities of the caregiver as the higher burden was reported for time for self, personal privacy, time for recreation, the tension in life, vacation and trips, time for own work and chores, and time for friends/relatives [43]. The caregiver burden was increased if the patient was living with the caregiver in the same home [48]. Caregivers who provided care to their spouses reported greater burdens and lower QoL than caregivers who provided care to their mothers [37].

3.2.5. Caregivers' QoL

In this theme, two sub-themes were identified to be associated with the QoL of cancer caregivers. These two sub-themes are caregivers' QoL level and factors associated with the caregivers' QoL.

3.2.6. Caregivers' QoL level

The tool used to measure the QoL of caregivers was the caregiver QoL index scale [37,40,41]. The Caregiver Family Members' Life Quality Scale (CQOLC) average scores were 60.70 ± 25.89 and ranged from 0 to 175. The QoL was low (n = 4) among caregivers [37,38,41]. The average score of QoL on the scale for caregivers was 37.54 ± 7.68 [37], 78.75 ± 16.31 [38], and 21.18 ± 5.3 [40]. Caregivers of cancer patients rated their QOL as moderate, with a mean on the Korean version of World Health Organization QOL-BREF (K-WHOQOL-BREF) of 3.12 ± 0.50 [48]. The level of caregiver QoL was even worse when it was reported that 39.2 % of caregivers had a total score of <3 [48]. Also, the mean score of the caregiver QoL Index on cancer was 81.40 ± 17.3 [40].

3.2.7. Factors associated with caregiver QoL

Diverse factors were identified to influence the QoL of family caregivers. Factors associated with the QoL of caregivers were age (less than 35 years), caregiving role, relationship to patients (spouse or parent), having a low income, and living in the same home with the patient [36,40,45,47]. Other influencing factors to caregiver QoL included the caregiver's responsibility and other social and family responsibilities [36,40,45]. Family members who took care of a child (29.5 %), and two children (50 %), and were in charge of 3–5 children (20.6 %) had a considerably lower level of QoL [36]. Another important factor that influenced caregivers' QoL was the caregiving duration. The QOL average score of family members giving care between an hour to ten per day was high, but the average QoL score of those giving care 21 h and over per day was the lowest [36].

The resilience also positively predicted the QoL [41]. Caregivers with no disease scored higher on the Overall Quality of Life Index (OQOLI) [37,45]. CQOLC average scores of those facing financial problems and changes in family and social relations were found to be lower [36]. A remote relationship with the patient, a low perceived burden, being non-dependent, receiving help, being patient with fewer comorbidities, and patient having higher life expectancy were determinant factors for a better QoL [36,47]. Higher perceived social support was associated with higher overall QOL [36,39,44]. Primary caregivers who received a psychosocial intervention showed a significant improvement in burden [33,37].

3.2.8. Relationship between burden and QoL

Some studies assessed the relationship between caregiver burden and QoL [[40], [41], [42],44,45]. It was noted that as the caregiver burden increased, the QoL of caregivers decreased [[40], [41], [42],44,45]. A moderate negative correlation was identified between the sum of the QOL scores and the burden questions [40,45]. Burden substantially predicted patient-reported subjective QoL [42]. Caregivers whose family life were affected by their caregiving activities reported a higher total care burden and a lower QoL score on the discomfort dimension [37,42,47,48]. The results showed that there was a negative relationship between the ZBI total score and the QoL scale family version (QoL-FV) subscales of psychological and spiritual health conditions, physical health conditions, support, and economic effect conditions, and QoL-FV total score [39,46]. Also, the caregiver burden is negatively correlated with hope [46,49].

Several other critical factors are identified to influence the life of caregivers. These factors associated with caregivers' life were the level of discomfort, positive adaptation, financial challenges, and the relationship with the patient [36,37]. The average discomfort subscale score was 39.67 ± 13.33, the positive adaptation subscale score was 70.24 ± 13.81, and the financial problems subscale score was 20.48 ± 26.90 [37,38]. Also, informal caregivers reported that they have been experiencing psychological distress while looking after the patients [37,38]. Also, 34.5 % of the family members stated that they tended to cry, 32.8 % had stress, 26.6 % unhappiness, and 23.3 % experienced despair [36].

4. Discussion

This integrative review identified the factors associated with cancer patients' caregivers' burden and QoL. The assessment of the factors associated with caregivers' burden and QoL is critical because caregivers play an important role in the management of cancer including treatment acquisition and utilization, management of adverse events, and providing psychological support to the patient [50,51]. These caregivers' roles are critical in ensuring that a desirable disease prognosis is achieved [52]. Caregivers' burden may be so high that they subordinate the demands of everyday life to the treatment/workload required for the patient [53]. This is particularly the case when caregivers and patients are required to follow regimented structural treatment procedures [53,54]. Given the burden and the structural nature of cancer treatment, patients and caregivers must identify personal treatment pathways, navigating between institutions in healthcare systems to meet the needs of uncertain and often lengthy disease and treatment trajectories. The culminating effects of these demanding requirements result in a high burden and lower QoL for the informal caregiver. In this integrative review, we identified an inverse relationship between caregiver burden and QoL. Most of the studies reported that as the burden of caregiving increased, the QoL conversely deteriorated [55,56]. To improve caregivers' QoL, efforts must be channeled toward alleviating the burden. Caregivers are burdened in several and multiple dimensions. These dimensions ranged from physical, psychological, financial, and social, and the continuous emotional torture of seeing a loved one suffer the long-term consequence of cancer [56,57]. These consequences may be a product of the disease trajectory or a consequence of adverse effects of treatment. Therefore, there must be a concerted effort to alleviate the burden of caregivers of cancer patients and improve their QoL. This can be achieved if health service providers meticulously collaborate with patients and family members in providing care to patients with cancer at all stages [54,58]. The preference of patients and the benefits of the role of caregivers cannot be downplayed. Therefore, this essential care provider (informal caregiver) must be involved as an active participant in the care process.

We also identified that personal characteristics, including resilience, positively mediated the relationship between caregiver burden and QoL. As individual socioeconomic characteristics were reported to be improved, the burden level was minimal with improved QoL. Other studies reported that the QoL in caregivers depends on personal characteristics, including demographic factors [56,57]. Having patients with cancer in the family, receiving support, and conditions arising from the caregiving process, such as affected health, and marital difficulties, were found to affect the burden of caregiving [10]. Service providers and policymakers must focus on leveraging other social support services for patients and caregivers to improve their living conditions and the demands of caregiving [14,15,59]. This is important because a recent meta-analysis demonstrated a negative relationship between social support and caregiving burden [15,59]. Also, we identified that the financial burden of caregivers increased the overall burden and significantly reduced the QoL of cancer patients' caregivers. Finances are critical in supporting patients and relatives in mitigating medical bills, caring for everyday expenses, and promoting the use of related medical services [57,60]. The cost-to-income ratio for cancer treatment is consistent with perceived financial difficulty [60]. The related cost of cancer treatment can be mitigated if health insurance can cover the cost of therapy and related treatment. This will then minimize the burden patients may have to impose on informal caregivers [61,62]. The inability of health insurance to pay for the cost of cancer therapy is more of a concern in lower- and middle-income countries where health insurance services led by governments do not cover the cost of chronic diseases and income-intensive therapies [62]. Patients with a financial burden, especially those with extreme health spending and perceived severe financial difficulty, are likely to have poor HRQOL and symptom burden [60,61]. In this current review, we identified multiple and diverse factors including the socio-economic, cultural, physical, psychological, and health-illness status of the caregiver, and health service-related factors to influence the QoL of cancer patients’ caregivers. In a related review that considered the QoL of cancer patients' caregivers, similar factors were identified [59,63]. It is imperative to continue developing intervention programs that target informal caregivers of cancer patients. The imperative for these interventions is increased by the current impact of the coronavirus infection. The global pandemic has left in its trail deteriorating socioeconomic situations that caregivers and patients must mitigate for their treatments. This is because family caregivers' fears and concerns have been exacerbated by the current situation of the pandemic [63].

4.1. Strengths and limitations

In this review, we demonstrated the factors associated with cancer patients' caregivers' burden and how that influences their QoL. We identified multiple factors that influence or mitigate caregiver burden and the QoL by using qualitative data synthesis techniques. However, certain limitations are associated with this review. Firstly, the review was limited to only studies that were written and published in English. This might have left out essential literature written in other languages, even though we ensured the comprehensiveness of the search by using the PICO framework. We also noted that the studies were largely conducted in developed countries in the global west with limited numbers in Africa, Asia, and other developing countries. Therefore, the generalization of the study findings in resource-limited settings and diverse cultures may be done with caution. This is particularly important that cultural variations between continents may influence caregiving requirements and the resultant burden and QoL. Nonetheless, this integrative review may be a panacea for conducting studies to assess caregiver burden and QoL in resource-limited settings, especially in Africa and Asia. Secondly, in this integrative review, there was high heterogeneity in the various studies because they used varied sample sizes, intervention approaches, designs, and inconsistent tools to measure the outcome variables. This made it difficult to conduct a systematic meta-analysis of the results that could show a direct causal relationship. Therefore, future studies must use rigorous scientific RCT designs to test the efficacy of diverse interventions that target the burden and QoL of cancer patients' caregivers. This is particularly important that RCT studies that assess the influence of these factors are limited hence, the majority of the studies were mainly cross-sectional. It is critical to have intervention studies among caregivers of cancer patients to limit the caregiving burden and generally improve the QoL.

5. Conclusion

In this review, we identified varied and diverse factors that influence caregiver burden and QoL. Increasing caregiver burden was identified to be negatively associated with QoL. As a result, pragmatic strategies must be adopted to reduce caregiver burden and promote QoL. These can be achieved through technology and web-based interventions to reduce caregiver burden, improve the psychological situation, and promote QoL. Given the burden and the structural nature of the treatment, patients and caregivers must identify personal treatment pathways, navigating between institutions in healthcare systems to meet the needs of uncertain and often lengthy disease and treatment trajectories. Future research should identify appropriate means to support caregivers of patients with cancer by mitigating the burden and promoting effective QoL. Also, a lower socioeconomic level was associated with a higher burden and low QoL. Consequently, interventions to promote the QoL of caregivers must consider segregating the population to have tailor-made specific interventions to ensure maximum effect. The current world trends demand that investments be made to mitigate the caregiver burden's influence and improve their QoL by developing and testing internet and technology-based strategies.

Data availability

Data included in article/supp. material/referenced in article.

CRediT authorship contribution statement

Jotsna Akter: Writing – original draft, Methodology, Formal analysis, Conceptualization. Kennedy Diema Konlan: Writing – review & editing, Writing – original draft, Validation, Supervision, Resources, Project administration, Methodology, Formal analysis, Data curation, Conceptualization. Meherun Nesa: Writing – original draft, Methodology, Data curation, Conceptualization. Aloysia Ispriantari: Writing – review & editing, Writing – original draft, Validation, Methodology, Formal analysis, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.heliyon.2023.e21243.

Appendix A. Supplementary data

The following is/are the supplementary data to this article:

Multimedia component 1
mmc1.docx (23.4KB, docx)
Multimedia component 2
mmc2.docx (16.6KB, docx)

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