Abstract
Objective: Fear of cancer recurrence (FCR) is a significant concern for family caregivers of cancer survivors and is associated with many adverse outcomes, including increased emotional distress and poorer quality of life. Although several theoretical models have been proposed to account for FCR in cancer survivors, their applicability to caregivers is unknown. The aim of this review was to identify clinical, demographic and psychological factors that are associated with, and predict, FCR in caregivers of cancer survivors.
Method: AMED, CINAHL, Medline, PsycINFO, and Scopus were systematically searched for relevant studies reporting quantitative data on factors associated with FCR or similar constructs (e.g., worry or anxiety about cancer recurrence) in family caregivers of adult cancer survivors. Included studies were assessed for methodological quality using a standardized checklist adapted from the Agency for Healthcare Research and Quality.
Results: Sixteen studies, half of which were cross-sectional, were included and summarized narratively. Non-modifiable factors, including age (n = 6) and treatment modality (n = 4), were found to be associated with increased FCR. Significant positive associations were also reported between illness perceptions and FCR (n = 3). However, there was heterogeneity across included studies with regards to factors examined and most were conducted in the USA. There were also several methodological limitations to the included studies.
Conclusions: Research examining FCR in caregivers of cancer survivors has predominantly focused on demographic and clinical factors. Given the paucity of research exploring the psychological mechanisms underpinning FCR, future research should investigate theoretical underpinnings of FCR in caregivers of cancer survivors to support the development of psychological interventions for this population.
Systematic Review Registration: PROSPERO, identifier [CRD42019119729].
Introduction
Although improvements in cancer care have led to earlier diagnosis and more effective, targeted medical treatment (Arnold et al., ), family caregivers of survivors continue to experience adverse effects of the illness, both physically and psychologically (Pitceathly and Maguire, ; Kurtz et al., ; Girgis and Lambert, ). Specifically, cancer caregiving responsibilities can result in issues such as pain, fatigue, financial difficulties and social isolation (Girgis and Lambert, ; Stenberg et al., ). One of the most distressing concerns for survivors and their families is fear of cancer recurrence (FCR) (Simard et al., ), defined as “fear, worry, or concern about cancer returning or progressing” (Lebel et al., ). Prevalence of FCR is high in family caregivers (Yeo et al., ) and can be higher than for the cancer patients (Longacre et al., ; Gold et al., ). Managing worries about cancer returning is a commonly-reported unmet need for caregivers (Girgis et al., ; Turner et al., ; Balfe et al., ), which is associated with elevated emotional distress (Longacre et al., ) and poorer quality of life (QoL) (Simard et al., ).
Although psychological interventions for FCR have been widely researched for cancer survivors (Simard et al., ; Maheu and Galica, ), there is currently little evidence to support the utility of specific psychological interventions for family caregivers experiencing FCR (Simonelli et al., ). To develop more effective interventions for this patient group, we must first understand the psychological processes that underpin and maintain FCR in caregivers of cancer survivors. Much of what we know about these processes is derived from research investigating FCR in patients. Many of the theoretical frameworks proposed to account for FCR in cancer survivors consist of similar components, including internal (e.g., physical symptoms, treatment side effects) and external (e.g., clinical follow-up) cues that trigger a cognitive response associated with FCR (Simonelli et al., ). Following an appraisal of such cues, a variety of coping responses, some less helpful than others, are implemented which are influenced by the social environment and other contextual factors (Lee-Jones et al., ; Simonelli et al., ). Such coping responses may include avoidance, limited future planning, symptom checking and misinterpretation of symptoms, and reassurance seeking from health professionals and family members, which in the longer term can increase FCR (Lee-Jones et al., ).
Similar to cancer survivors, caregivers often engage in unhelpful coping behaviors such as avoidance of cancer-related discussions, reluctance to make plans for the future and reassurance seeking (Lambert et al., ; LeSeure and Chongkham-ang, ). Furthermore, although caregivers do not experience internal cancer-related cues (e.g. cancer symptoms or delayed treatment effects), the cancer journey is experienced by the family as a whole (Kayser et al., ). Therefore, caregivers are often aware of survivors' physical experiences of cancer diagnosis and treatment, through helping patients to manage physical symptoms such as treatment side effects (LeSeure and Chongkham-ang, ). Caregivers are exposed to many external cues and situations which may trigger FCR, including cancer-related conversations, media references to cancer, appointments with health professionals and survivors' follow-up appointments and feeling unwell themselves (Simard and Savard, ).
Although many components of the FCR models will be applicable to understanding FCR experienced by caregivers, some may not be relevant and there may be other factors which are only relevant to caregivers of cancer survivors. To date, only two reviews have examined FCR in caregivers (Simard et al., ; Maheu and Galica, ). Maheu and Galica briefly summarized literature regarding factors associated with FCR in caregivers, but did not take a systematic approach to identify or analyse data. Simard and colleagues conducted a systematic review of quantitative studies examining FCR in adult cancer survivors, within which they briefly summarized the results of nine studies, published prior to 2011. Collectively, the two previous reviews indicate that non-modifiable factors such as caregiver age and gender, and treatment type, may be associated with caregiver FCR. However, a systematic synthesis of contemporaneous studies examining correlates and predictors of caregivers' FCR does not exist. This systematic review aims to address this gap by critically appraising and synthesize the findings of quantitative studies investigating any demographic, clinical and psychosocial correlate or predictor of FCR in adult family caregivers of adult cancer survivors.
Materials and Methods
Review Conduct and Reporting
Review conduct and reporting adhered to recommendations by Centre for Reviews Dissemination () and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance (Moher et al., ). The protocol was registered on the international prospective register of systematic reviews, Prospero, in January 2019 (reg. number CRD42019119729) and can be accessed at https://www.crd.york.ac.uk/PROSPERO.
Search Strategy
AMED, CINAHL, Medline, PsycINFO, and Scopus were systematically searched for published literature using the following search terms: partner (partner*, couple*, spous*, dyad*, carer, caregiver, care-giver, care giver, caregiv*, husban*, wife or wives) and (fear* or worr* or anxiet* or concer* or afraid) and (recur* or relaps* or reoccur* or return* or progress*) and (cancer* or tumor* or tumor*). There were no restrictions placed on publication date. Searches were repeated in March 2020 to identify any new publications relevant to the review question.
Inclusion and Exclusion Criteria
To be included in the review, studies had to report quantitative data on factors associated with FCR or similar constructs (e.g., worry or anxiety about cancer recurrence) in adult family caregivers (partners, family members, and close friends) of adult cancer survivors (both aged ≥18 years). Patients were classed as cancer survivors if they had received a diagnosis of cancer and had not been diagnosed with a secondary cancer. Articles had to be published in English in a peer-reviewed journal. Studies were excluded if cancer patients had not yet received treatment, in order to ensure findings were deemed to be taken from a survivorship phase. Studies which did not report data separately for cancer survivors were also excluded (e.g., studies reporting data from survivors and patients with metastatic disease). All case studies, commentaries, conference abstracts, dissertations, editorials, qualitative studies, and review articles were excluded.
Screening and Selection
Two reviewers (LOR and AW) independently assessed the titles and abstracts of potentially relevant papers. The reviewers then independently reviewed the full-text papers against the inclusion and exclusion criteria. Papers which did not meet the inclusion criteria were removed. Discrepancies (n = 3) were discussed with the wider research team (MGC, PF, SC) until a negotiated conclusion was reached.
Data Extraction
For each study, relevant demographic, methodological and summary data were extracted using a standardized data extraction form by LOR and independently checked for accuracy by AW. Uncertainty (n = 1) was resolved through discussion with the wider research team. Authors were contacted if data were unclear or had not been reported within the paper. The following information was extracted: (i) author, (ii) year of publication, (iii) study design, (iv) clinical and treatment characteristics of the survivor (diagnosis, stage, time since diagnosis and treatment type), (v) caregiver demographics (age, gender, ethnicity, and relationship length), and (vi) main findings, including correlates and predictors of FCR. Where studies reported multiple analyses, only data from the most complex relevant multivariate analyses were extracted. This is because multivariate analyses that eliminate potential sources of confounding through statistical control of multiple potential covariates are considered stronger tests of association than univariate analyses. Studies that reported data from the same larger database, but focused analyses on different outcomes were interpreted and referred to as separate studies, with their linked status noted. Correlates and predictors were grouped under the following headings: (i) demographic factors (including age, gender and ethnicity); (ii) clinical factors (treatment, cancer stage, co-morbidities and medical follow-up); and (iii) psychosocial factors (emotional distress, interpersonal factors (including FCR in patients), stress and coping, quality of life and psychological beliefs). Data were analyzed narratively; heterogeneity in study findings precluded meta-analysis.
Risk of Bias
Studies were assessed for risk of bias using a quality appraisal tool adapted from the Agency for Healthcare Research and Quality (Williams et al., ), which assesses risk of bias in studies across various domains relevant to research with physical health populations. This tool considers risk of bias across key methodological areas, such as sample selection, size, description, handling of missing data and analysis (Taylor et al., ), thus allowing for comparison of studies across domains. Two reviewers (LOR and AW) separately assessed risk of bias in the included studies. Uncertainty (n = 4) was resolved through discussion with the wider research team (MGC, PF, SC). In line with Centre for Reviews Dissemination () guidance, studies were not excluded based on outcome of the risk of bias assessment.
Results
The search strategy identified 1,729 potentially relevant records. After exclusion of duplicates and screening of titles and abstracts, 40 potentially eligible articles remained. After reviewing their full-text, eight articles, reporting seven studies, were identified for inclusion for review. Nine studies were identified during the updated search, resulting in the inclusion of 19 articles, reporting 16 studies1. The process of identification of papers to inclusion for review is summarized in Figure 1. Demographic, clinical and psychosocial factors examined by each study are summarized in Table 1.
Figure 1
Table 1
| Correlate or predictor variables | Studies analyzing correlate or predictor variables | Studies with significant results (n) | |
|---|---|---|---|
| Demographic(n=12 studies reported in 13 articles) | |||
| Age | sig. (29, 32, 34, 39, 42, 43) n.s. (26, 27, 28, 30, 38, 40, 41) | 6 | |
| Gender | sig. (42) n.s. (32, 40, 41) | 1 | |
| Ethnicity | sig. (28) n.s. (27, 32) | 1 | |
| Education | sig. (27) n.s. (26, 28, 32, 38, 41, 43) | 1 | |
| Clinical(n=14) | |||
| Treatment | Time since diagnosis | sig. (26, 42) n.s. (27, 29, 32, 39, 40, 43) | 2 |
| Treatment type | sig. (26, 28, 35, 42) n.s. (32, 38, 43) | 4 | |
| Medical follow-up | sig. (36, 37) | 2 | |
| Cancer Stage | Cancer stage | n.s. (26, 28, 26, 32, 38-42) | 0 |
| Cancer severity | sig. (29) | 1 | |
| Comorbidities | Comorbidities | sig. (26, 28) n.s. (32, 39, 40) | 2 |
| Survivor physical health | sig. (29) | 1 | |
| Psychosocial(n=15 studies reported in 18 articles) | |||
| Emotional distress | Anxiety | sig. (29, 34, 36) | 3 |
| Emotional distress | sig. (41) | 1 | |
| Interpersonal factors | Survivor/caregiver FCR | sig. (26, 29, 30, 32, 33, 34, 36, 41, 43) n.s. (35, 38) | 8 studies reported in 9 articles |
| Relationship quality | sig. (34) n.s. (38) | 1 | |
| Social support | sig. (26) n.s. (30, 31, 32, 42) | 1 | |
| Loneliness | sig. (42) | 1 | |
| Communication | sig. (27, 33, 34, 37, 44) | 4 studies reported in 5 articles | |
| Spousal negative affect | sig. (34) | 1 | |
| Stress and coping | Stress | sig. (30, 31, 32, 42) | 2 studies reported in 4 articles |
| Coping strategies | sig. (39, 40) | 2 | |
| Quality of life | sig. (29, 30, 31, 42, 43) | 4 studies reported in 5 articles | |
| Psychological beliefs | Meaning of illness | sig. (30, 31, 32) | 1 study reported in 3 articles |
| Illness perceptions | sig. (39, 40, 44) | 3 | |
Measures of demographic, clinical, and psychosocial factors.
sig, significant results; n.s., Non-significant results.
Study Characteristics
The main characteristics of the studies are shown in Table 2. Nine studies, reported in 12 articles, were conducted in the USA (Mellon and Northouse,
Table 2
| Caregiver | Survivor | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Author, (year), country | Design | n | Age (years) (SD) | Gender, n (%) | Relationship to survivor, n (%) | Cancer type | Stage, n (%) | Time since diagnosis (SD) | Treatment, n (%) |
| Boehmer et al. ( | Cross-sectional | Ha 43 Mb 124 | M = 62.4 (8.0) M = 55.8 (9.3) | Female: 7 (16.3) Male: 36 (83.7) Female: 116 (93.5) Male: 8 (6.5) | Partner: 36 (83.7) Child: 3 (7.0) Sibling: 2 (4.7) Parent: 1 (2.3) Friend: 1 (2.3) Partner: 106 (85.5) Child: 0 (0.0) Sibling: 3 (2.4) Parent: 3 (2.4) Friend: 12 (9.7) | Breast Breast | I: 18 (42.9) II: 12 (28.6) III: 4 (9.5) I: 46 (37.1) II: 40 (32.3) III: 12 (9.7) | 5.8 years (3.9) 7.3 years (3.6) | L: 41 (95.3) M: 0 (0.0) M + (Re): 2 (4.7) R: 32 (74.4) H: 31 (72.1) L: 105 (84.7) M: 10 (8.1) M + (Re): 9 (7.3) R: 80 (64.5) H: 88 (71.0) |
| Chien et al. ( | Longitudinal (T4 = 24 weeks) | T4 =46 | M = 62.0 (7.8) | Female: 48 (100.0) Male: 0 (0.0) | Partner: 48 (100.0) | Prostate | II: 30 (62.5) III: 18(37.5) | Recruited when first diagnosed | S: 37 (77.1) R: 11 (22.9) |
| Cohee et al. ( | Cross-sectional | 222 | M = 47.98 (7.2) | Not reported | Partner: 222 (100.0) | Breast | Not reported | 5.83 years (1.51) | Not reported |
| Dempster et al. ( | Cross-sectional | 382 | M = 62 (10.91) | Female: 257 (67) Male: 125 (33) | Partner: 359 (94.0) Other family: 23 (6.0) | Esophageal | Not reported | Mdn = 46 months (19–81) | Not reported |
| Graham et al. ( | Longitudinal (T2 = 12 months) | 171 | M = 62.56 (10.05) | Female: 124 (72.5) Male: 47 (27.5) | Partner: 165 (96.49) Other: 6 (3.51) | Esophageal | Not reported | M = 4 years (2–7) | Not reported |
| Hodges et al. ( | Longitudinal (T2 = 6 months) | 101 | M = 56.26 (30 – 76) | Female: 73 (72.3) Male: 28 (27.7) | Partner: 86 (85.1) Non-partner: 15 (14.9) | Head and neck | 1-2 = 27 (60) 3-4 = 16 (35.6) 5 = 2 (4.4) | Not reported | Not reported |
| Janz et al. ( | Longitudinalc | 510 | <50 N = 70 (13.7%) 50-65 N = 218 (42.75%) >65 N = 222 (43.5%) | Not reported | Partner: 510 (100.0) | Breast | 0 :125 (24.5) I-II: 388 (66.3) III: 46 (9.0) | 4 years | L: 324 (63.6) (U)M:128 (25.1) (B) M:51 (10.0) R: 363 (71.1) C: 229 (44.9) |
| Kim et al. ( | Cross-sectional | 455 | M = 56.19 (13.01) | Female: 288 (63.3) Male: 167 (36.7) | Spouse: 305 (67.1) Offspring: 84 (18.5) Other: 66 (14.4) | Mixedd | Localized: 292 (64.2) Regional: 124 (27.3) Distant: 39 (8.6) | 2.2 years (0.40) | Not reported |
| Maguire et al. ( | Cross-sectional | 180 | M = 57.3 (12.48) | Female: 136 (76.0) Male: 44 (24.0) | Spouse: 132 (73.4) Offspring or parent: 34 (18.8) Other:14 (7.8) | Head and neck | I-II: 81 (54.4) III-IV: 68 (45.6) | 4.9 years (3.79) | S: 31 (17.2) C: 47 (26.1) R: 122 (67.4) |
| Mellon and Northouse ( | Cross-sectional | 123 | M = 55 (14.5) (21-80) | Female: 80 (65) Male:43 (35) | Spouse: 65 (52.8) Child: 36 (29.3) Sibling: 10 (8.1) Significant other: 12 (9.8) | Mixede | Not reported | 3.39 years (1.0) | S: 108 (87.8) R: 48 (39.0) C: 28 (22.8) H: 4 (3) |
| Perndorfer et al. ( | Longitudinal (21-day diary) | 69 | M = 58 (10) | Not reported | Partner: 69 (100.0) | Breast | 0: 8 (12) IA: 37 (53) IIA: 17 (25) IIB: 6 (9) IIIA: 1 (1) | 5 months (2.09) after treatment | C: 21 (30) R: 50 (72) H: 58 (84) |
| Soriano et al. ( | Cross-sectional | 46 | M = 54.57 (13.31) | Not reported | Partner: 46 (100.0) | Breast | 0: 11 (24) I: 17 (37) II: 15 (32) IIIa: 3 (7) | 7.70 months after treatment | C and/or H: 15 (33) |
| Soriano et al. ( | Longitudinal (21-day diary) | 72 | M = 59.49 (10.34) | Male:70 (97) Female: 2 (3) | Partner: 72 (100.0) | Breast | 0: 10 (14) I: 34 (47) II: 27 (37) IIIa: 17 (23) | 5.77 weeks after treatment | C: 24 (33) H: 58 (81) |
| Soriano et al. ( | Longitudinal (21-day diary) | 57 | M = 60 (10) | Male: 55 (96) Female: 2 (4) | Partner: 57 (100.0) | Breast | 0: 7 (12) IA: 30 (53) IIA: 14 (25) IIB:5 (9) IIIA: 1 (1) | 12.2 months (1.9) | C:17 (30) R: 41 (72) H: 48 (84) |
| van de Wal et al. ( | Cross-sectional | 168 | Mdn = 67.4 (40-86) | Not reported | Partner: 168 (100.0) | Prostate | Not reported | Mdn = 7.5 years (0.9-20.0) | S:126 (75) S + R: 41 (25) |
| Wu et al. ( | Longitudinal (T1 = 6 months; T2 = 12 months) | 62 | M = 64.3 (8.4) | Not reported | Partner: 62 (100.0) | Prostate | Not reported | 89.8 days (95.0) | R: 36 (52.2) S: 18 (26.1) B: 7 (10.1) R + B: 3 (4.3) S + R: 1 (1.4) WW: 1 (1.4) Missing: 3 (4.3) |
| Xu et al. ( | Longitudinal (10 days) | 54 | Not reported | Not reported | Partner: 54 (100.0) | Breast | I: 22 (40.7) II:14 (25.9) III:18 (33.3) | 22.1 months (19.88) | Not reported |
Study characteristics.
Cancer survivors who identify as heterosexual women (HSW).
Cancer survivors who identify as sexual minority women (SMW).
Partners surveyed at Time 2 only.
Mixed cohort = breast, prostate, colorectal, lung, ovarian, kidney, uterine, bladder, non-Hodgkin's lymphoma, skin melanoma.
Mixed cohort = Breast, prostate, colon-rectal, uterine.
Treatment modality: S, Surgery; C, Chemotherapy; R, Radiotherapy; L, Lumpectomy; M, Mastectomy; M + Re, Mastectomy and Reconstruction; (U)M, Unilateral Mastectomy; (B)M, Bilateral Mastectomy; H, Hormonal therapy; B, Brachytherapy; WW, Watchful waiting.
Out of the 16 studies, nine focused on partners (Janz et al.,
Results of Assessment of Risk of Bias
The results of the assessment of risk of bias are outlined in Table 3, and indicate that most domains, including unbiased selection of cohort, validated measures of outcome and dependent variables, and appropriate analyses rated highly. Several limitations were identified in relation to study design, assessment of FCR and justification of sample sizes. Only five studies reported a sample size calculation (Mellon et al.,
Table 3
| Author | Unbiased selection of cohort? | Sample size calculation? | Adequate description of cohort? | Validated method for assessing predictor/ outcome variables? | Validated method for assessing fear of cancer recurrence? | Adequate follow-up period? | Missing data minimal? | Confounders controlled for? | Appropriate analyses? |
|---|---|---|---|---|---|---|---|---|---|
| Boehmer et al. ( | ● | ○ | ● | ● | ● | N/a | ● | ● | ● |
| Chien et al. ( | ● | ○ | ● | ● | ● | ● | ● | ◐ | ● |
| Cohee et al. ( | ● | ○ | ● | ● | ● | N/a | ● | ● | ● |
| Dempster et al. ( | ◐ | ○ | ◐ | ● | ● | N/a | ◐ | ● | ● |
| Graham et al. ( | ● | ○ | ◐ | ● | ● | ● | ○ | ● | ● |
| Hodges et al. ( | ● | ● | ● | ● | ● | ● | ● | ● | ● |
| Janz et al. ( | ● | ○ | ● | ● | ◐ | N/a | ● | ● | ● |
| Kim et al. ( | ● | ● | ● | ● | ◐ | N/a | ● | ● | ● |
| Maguire et al. ( | ● | ● | ● | ● | ● | N/a | ● | ● | ● |
| Mellon and Northouse ( | ● | ○ | ● | ● | ● | N/a | ● | ● | ● |
| Mellon et al. ( | ● | ● | ● | ● | ● | N/a | ● | ● | ● |
| Mellon et al. ( | ● | ○ | ● | ● | ● | N/a | ● | ● | ● |
| Perndorfer et al. ( | ● | ○ | ● | ● | ● | ○ | ● | ● | ● |
| Soriano et al. ( | ● | ○ | ● | ● | ● | N/a | ● | ● | ● |
| Soriano et al. ( | ● | ○ | ● | ● | ● | ● | ● | ● | ● |
| Soriano et al. ( | ● | ○ | ● | ◐ | ● | ○ | ● | ● | ● |
| Soriano et al. ( | ● | ○ | ● | ● | ● | ○ | ● | ● | |
| van de Wal et al. ( | ● | ● | ● | ● | ● | N/a | ● | ● | ● |
| Wu et al. ( | ● | ○ | ● | ● | ◐ | ● | ● | ● | ● |
| Xu et al. ( | ● | ○ | ○ | ● | ◐ | ○ | ◐ | ● | ● |
Assessment of risk of bias.
● = Yes; ◐ = Unclear, Partially; ○ = No; N/a = Not applicable.
Demographic Factors
There were significant associations between age and FCR. Twelve studies, reported in 13 articles, examined the relationship between age and FCR. Of these, one study found a weak negative association between age and FCR (r = −0.17) (Kim et al.,
Clinical Factors
Treatment
There was limited support for significant associations between time since diagnosis and FCR. Two out of the eight studies that assessed the relationship between time since diagnosis and FCR found that those caring for more recently diagnosed survivors reported higher FCR (Boehmer et al.,
Data demonstrated mixed support for significant associations between type of medical treatment and FCR. Seven studies assessed the relationship between type of treatment and FCR. Of these, one study reported a very weak positive association between chemotherapy and FCR (r = 0.14) (Maguire et al.,
Cancer Stage
Seven studies explored the relationship between cancer stage and FCR, none of which found a significant association (Mellon et al.,
Comorbidities
There was limited support for associations between comorbidities and FCR. Of the five studies that assessed the relationship between comorbidities and FCR, two found that greater number of comorbidities resulted in higher FCR when controlling for other variables, specifically survivor comorbidities (Boehmer et al.,
Medical Follow-Up
One study, reported in two articles, used a three week diary to investigate the impact of a mammogram on FCR, which reported that there was a significant increase in FCR during days leading up to the mammogram, and avoidance of threatening stimuli was predictive of FCR on the day of the mammogram (Soriano et al.,
Psychosocial Factors
Emotional Distress
There were significant associations found between level of anxiety and FCR. Three studies assessed the relationship between anxiety and FCR, all of which reported a weak positive association between anxiety and higher FCR (r =0.24 to 0.39) (Kim et al.,
Interpersonal Factors
Data indicated mixed support for significant associations between survivors' and family caregivers' FCR (Table 4). Nine studies, reported in ten articles, assessed the relationship between survivors' and caregiver FCR. Of these, eight studies found weak to moderate associations between survivor and family caregiver FCR scores (r = 0.19 to 0.53) (Mellon and Northouse,
Table 4
| Dependent variable | Independent variables | Significant findings | |||
|---|---|---|---|---|---|
| Author, (year) | FCR score (SD) | Analysis | Non-psychosocial (demographic, clinical) | Psychosocial | |
| Boehmer et al. ( | FRQa HSWb: 75.2 (13.6) SMWc: 71.8 (16.5) | Multivariate logistic regression | Sexual orientation; Co-residence; Years since diagnosis; Treatment type; Survivor comorbidities; Chemotherapy; Co-residence | Caregiver use of counseling in relation to cancer diagnosis; Social support (Survivor, Caregiver); Experience of discrimination (Caregiver); FCR score (Survivor) | Non-psychosocial Years since diagnosis (β = −0.25***); Anti-estrogen therapy (β = 0.22***); Survivor comorbidities (β = 0.25***) Psychosocial Caregiver and Survivor FCR: r2 = 0.29*** Social support (Caregiver) (β = −0.24***) |
| Chien et al. ( | MAX-PCd 5.22 (1.78) | Multivariate logistic regression | Age (Patient); Religion (Patient, Partner); Employment status (Patient, Partner); Education level (Patient, Partner); Self-perceived health status (Patient); Treatment type (radiotherapy); Cancer stage; Living arrangement (Partner) | FCR score (Patient); Relationship satisfaction (Patient, Partner) | Non-psychosocial None. Psychosocial None. |
| Cohee et al. ( | CARSe 11.794 (4–24) | Correlation; Mediation | Age (Survivors, Partners); Ethnicity; Education; Religion; Comorbidities; Time since diagnosis | Social constraints; Cognitive processing | Non-psychosocial Education r = −0.164* Psychosocial X (social constraints); M (cognitive processing) Indirect effect = 0.184, 95% bootstrap CI = 0.119 to 0.271. Direct effect = 0.038, p = 0.469, 95% CI = −0.066 to−0.142. [F(3, 215) = 27.917, R2 = 0.280, p < 0.001] |
| Dempster et al. ( | CARS 13.93 (5.83) | Correlations; Regression | Age; Gender; Relationship to survivor; Months since diagnosis; Comorbidities | Anxiety; Depression; Illness perceptions: Acute/chronic timeline; Cyclical timeline; Treatment control; Emotional cause; Behavioral cause; Externalized cause; Consequences (Patient, Carer); Personal control (Patient, Carer); Illness coherence (Patient, Carer) Coping strategies (Reflection/relaxation, Positive focus, Diversion, Planning, Interpersonal) | Non-psychosocial Age (β = −0.171***) Psychosocial Cyclical timeline: r = 0.275***; Consequences (Patient): r = 0.306***; Consequences (Carer): r = 0.475*** Reflection/relaxation: r = 0.333***; Diversion: r = 0.327***; Interpersonal: r = 0.354*** Illness coherence (Carer) (β = −0.093*); Consequences (Carer) (β = 0.273***); Externalized cause (β = −0.124**) Reflection/relaxation (β = 0.165**); Positive focus (β = −0.107*); Interpersonal (β = 0.179**) |
| Graham et al. ( | CARS T1:13.65 (5.58) T2: 13.97 (5.59) | Hierarchical regression | Age; Gender; Relationship to survivor; Living arrangement; Months since diagnosis; Other illness/medical condition | Anxiety; Depression; IPQR-Cluster 2 vs. 1f; IPQR-Cluster 3 vs. 1; Coping strategies (Planning, Interpersonal, Relaxation, Positive focus) | Non-psychosocial None. Psychosocial IPQR-Cluster 3 vs. 1 (β = −0.205*); Interpersonal (β = 0.218*) |
| Hodges et al. ( | WOCf T1: 11.77 (4.98) T2: 11.71 (5.21) | Correlations; Path analysis | Age (Patient, Carer); Gender (Patient, Carer); Relation to patient; Co-habiting status; Children; Employment status; Cancer site; Cancer stage | Anxiety; Depression; FCR score (Patient) | Non-psychosocial None. Psychosocial Carer FCR (3 and 6 months) r = 0.754***; Patient and carer FCR (6 months) r = 0.375** Carer distress: r = 0.734**; (β = 0.20**); Patient FCR (3 months) (β = 0.18**); Carer FCR (3 months) (β = 0.69*) |
| Janz et al. ( | Worry scaleh N = 212 (47.1%) | Logistic regression | Age; Ethnicity; Education level; Health status; Comorbidities; Cancer stage; Treatment type (Chemotherapy, Radiation, Surgery) | Received enough information on risk of recurrence from health care providers; Emotional support from health care providers; | Non-psychosocial Non-Hispanic Black (β = 0.053**); Latino (higher acculturation) (β = 3.05**); Latino (lower acculturation) (β = 2.96**); One or more comorbidities (β = 1.95*); Chemotherapy (β = 2.77**) Psychosocial None. |
| Kim et al. ( | Adapted itemi −0.04 (0.99) | Correlations; Modeling analysis | Age (Survivor, Caregiver); Cancer severity | Anxiety; Quality of life (QoL): mental health and physical health (Survivor, Caregiver); FCR score (Survivor) | Non-psychosocial Age: r = −0.174***; Cancer severity (β = 0.197***) Psychosocial QoL Mental health (Caregiver): r = −0.296***; Anxiety: r = 0.239***; Survivor and Caregiver FCR: r = 0.19***; QoL Physical health (Survivor): (β−0.127**); Mental health (Caregiver): (β = −0.147***) |
| Maguire et al. ( | WOC 9.6 (5.82) | Correlations; Multiple regression | Age (Survivor, Caregiver); Gender (Caregiver); Time since diagnosis; Cancer stage; Treatment type (Surgery, Chemotherapy, Radiotherapy); Relationship to survivor; Employment status | Financial stress of caring; Time caring; Social support; Loneliness; QoL (Survivor) | Non-psychosocial Time since diagnosis: r = −0.18*; Chemotherapy: r = 0.14*; Extent of surgery: r = −0.25*** Age (Survivor) (b = −0.22*); Age (Caregiver) (b = 0.22*); Caregiver gender: (r = 0.21*); (b = 0.25***); Extent of surgery (b = −0.23***) Psychosocial Survivor QoL: r = −0.28***; Time caring: r = 0.34***; Loneliness: r = 0.27*** Financial stress of caring: (b = 0.20*); Time caring: (b = 0.37***); Loneliness: (b = 0.25***) |
| Mellon et al. ( | FRQ 73.1 (14.1) | Correlations | None. | Family stressors; Family hardiness; Social support; Family meaning of illness; Family QoL; Somatic concerns (Patient) | Non-psychosocial None. Psychosocial Family stressors: r = 0.29*; Meaning of illness: r = −0.28**; QoL: r = −0.29* |
| Mellon et al. ( | FRQ NR | Correlations; Modeling analysis | Age (Survivor, Caregiver); Gender (Survivor, Caregiver); Ethnicity (Survivor, Caregiver); Education level (Survivor, Caregiver); Role of relationship to survivor; Time since diagnosis; Other health problems | Concurrent family stressors (Actor effect, Partner effect); Family hardiness; Social support; Family meaning of cancer illness (Actor effect, Partner effect); Somatic concerns; FCR score (survivor) | Non-psychosocial Age (Partner effect): (β = −0.52*) Psychosocial Concurrent family stressors: r = 0.29**; Meaning of cancer illness: r = −0.28**; Survivor FCR: r = 0.41*** Concurrent family stressors (Actor effect): (β = 0.34***); Family meaning of cancer illness (Actor effect): (β = −1.24**); Survivor vs. family caregiver: (β = −4.89***) |
| Mellon and Northouse ( | FRQ NR | Correlations | None. | Family QoL; Family stressors; Family hardiness; Family social support; Family meaning of illness; Somatic concerns; FCR score (Patient) | Non-psychosocial None. Psychosocial Family QoL: r = −0.33***; Family stressors: r = 0.24**; Patient FCR: r = 0.40***; Family meaning of illness: r = −0.27** |
| Perndorfer et al. ( | FCRIj Spouse evening FCR:1.43 | Correlations | None. | Daily protective buffering (Patient, Spouse); Intimacy; Evening FCR score (Patient, Partner) | Non-psychosocial None. Psychosocial Protective buffering (Patient): r = 0.15***; Protective buffering (Spouse): r = 0.25***; Evening intimacy (Patient): r = −0.12***; Evening FCR score (Patient): r = 0.21*** |
| Soriano et al. ( | Global FCR: CARS = 3.18 | Correlations; Modeling analysis | Age (Patient); Patient physical symptoms | Social Constraints (Patient, Spouse); Anxiety; Depression; Relationship quality (Patient, Spouse) | Non-psychosocial Age (Patient) (β = −0.028*) Psychosocial FCR (Patient and Spouse): r = 0.53***; Anxiety r = 0.31*; Social constraints (Spouse): (β = 0.561*); Relationship quality (Spouse): (β = 0.050*) |
| Soriano et al. ( | FCRI = 1.51 | Correlations; Modeling analysis | None | Social Constraints (Patient, Spouse); Negative affect (Patient, Spouse); Relationship quality (Patient, Spouse); FCR score (Spouse same day) | Non-psychosocial None. Psychosocial FCR score (Patient and Spouse): r = 0.22***; Social constraints: r = 0.27**; Negative affect: r = 0.32** (DV: Same day FCR): Social constraints (Spouse): (β = 0.978***)k; Social constraints (Patient): (β = 1.088*); Negative affect (Spouse): (β = 0.496**) (DV: Next day FCR): Negative affect (Spouse): (β = 0.255**); Relationship quality (Spouse): (β = 0.091*) |
| Soriano et al. ( | FCRI Baselinel = 5 (4). T1 = 1.117 (1.754) T2 = 0.840 (1.296) T3 = 0.570 (1.483) | Modeling analysis | None | Capitalization attempt (Spouse, Patient); Perceived partner responsiveness (Spouse); Event positivity | Non-psychosocial None. Psychosocial T3: Capitalization attempt (Spouse)m (β = 0.488**); Patient capitalization attempt (Patient)23 (β = −0.662**); Perceived partner responsivenessn (β = −0.421**) |
| Soriano et al. ( | FCRI 0.96 (1.78) | Correlations; Modeling analysis | None | Threat sensitivity (Patient, Spouse); Anxiety (Patient, Spouse); FCR score (Patient) | Non-psychosocial None. Psychosocial Patient FCR: r = 0.29*; Anxiety (Spouse): r = 0.39*; Threat sensitivity (Spouse): (β = 0.408**) |
| van de Wal et al. ( | CWSo 12.6 (3.5) | Regression; Mean comparison | Age (Partner); Years a couple; Cancer history (Partner); Education level (Partner); Children; Time since diagnosis; Type of treatment | FCR score (Survivor); Health-related QoL (physical, social, physical role and emotional role functioning; mental health; vitality; pain; general health) | Non-psychosocial Age: (β = −0.295*) Psychosocial Survivor FCR score: (r = 0.44***); (β = 0.304***) High partner FCR vs low partner FCR: Emotional role functioning (p = 0.023*); Mental health (p < 0.001***); Vitality (p = 0.038*); General health (p = 0.042*) |
| Wu et al. ( | Cancer specific worry measurep NR | Modeling analysis | Type of treatment (Radiation, Surgery) | FCR scores at baseline and six-months (Patient, Spouse) | Non-psychosocial Six-month time point: Surgery (β = −0.25**) Psychosocial Six-month time point: Baseline FCR (Spouse) (β = 0.62***) Twelve-month time point: Six-month FCR (Spouse) (β = 0.73***) |
| Xu et al. ( | Adapted measureq 19.82 (17.77) | Modeling analysis; Mediation analysis | None | Illness representation; Daily Couple Communication (perceptions of positive and negative information) | Non-psychosocial None. Psychosocial Spouses' perception of positive information: (β = −0.168***); Spouses' perceptions of negative information: (β = 1.045***) |
Main study findings.
FRQ = Fear of Cancer Recurrence Questionnaire (Northouse,
Caregivers of cancer survivors who identify as heterosexual women (HSW).
Caregivers of cancer survivors who identify as sexual minority women (SMW).
MAX-PC = Memorial Anxiety Scale for Prostate Cancer (Roth et al.,
CARS = Concerns About Recurrence Scale (Vickberg,
IPQ Clusters: Cluster 1 = Carers have increasingly strong causal beliefs, particularly beliefs in emotional cause; Cluster 2 = Carers increasingly believe that they and the survivor understand condition, and feel over time that there will be less severe consequences for themselves and the survivor; Cluster 3 = Carers report decreasing belief in severe consequences for survivor and carer, increase in perception that condition is acute and increase in all control beliefs.
WOC = Worry Of Cancer scale (Easterling and Leventhal,
Adapted worry scale used in previous publications (Janz et al.,
Adapted from Zhao et al. (
FCRI = Fear of Cancer Recurrence Inventory (Simard and Savard,
Random effects greater but still significant.
One week prior to diary period.
N = 56 couples.
N = 53 couples.
CWS = Cancer Worry Scale, stipulating a cut-off score for high FCR as ≥14.
Diefenbach et al. (
Five items adapted from prior research (Thewes et al.,
Methods: Multivariate regression models analysis (regression, mixed models and generalized linear); Modeling analysis (path analysis, structure equation modeling and actor-partner interdependence model). NR = Not Reported.
p < 0.001;
p < 0.01;
p < 0.05.
Two studies examined the association between relationship quality and FCR, with one study reporting a significant positive association which was also found in next-day FCR when measured over 21 days (Soriano et al.,
One study examined the relationship between negative affect (assessed using the Positive and Negative Affect Schedule) and FCR, which found that as spousal negative affect increased, so did FCR level (Soriano et al.,
Five studies investigated the impact of communication on FCR, all of which found significant results. Specifically, on a day that partners perceived the cancer survivor to be less available or responsive to discussions of cancer-related worries, partners were more likely to have greater FCR on that same day, but not the next day (Soriano et al.,
Stress and Coping
Two studies, reported in four articles, assessed the relationship between stressors and FCR, all of which found significant results. Specifically, care-related stressors (financial impact and time-burden associated with caregiving) (Maguire et al.,
Two studies assessed the relationship between coping strategies and FCR. Of these, one study reported a weak positive association between interpersonal coping (e.g., seeking support from cancer survivor) and FCR (r = 0.35) (Dempster et al.,
Quality of Life
Four studies, reported in five articles, assessed the relationship between QoL and FCR. All studies found a significant result, indicating a weak positive association between QoL and FCR (r = −0.28 to 0.33) (Mellon and Northouse,
Psychological Beliefs
One study, reported in three articles, examined the relationship between the meaning of illness and FCR, reporting a weak negative association between negative meaning of illness and FCR (r = −0.27 to −0.28; (Mellon and Northouse,
Discussion
This review summarized cross-sectional and prospective quantitative research investigating the demographics, clinical and psychological factors associated with FCR in caregivers of cancer survivors. Sixteen studies, reported in 19 articles, were included and summarized narratively. Significant associations were found between FCR and certain non-modifiable factors, including younger age and treatment modality. Although there was only limited research investigating psychological processes (n = 3), significant associations were found between illness perceptions and FCR. Specifically, a good understanding of the cancer diagnosis was negatively associated with FCR, whilst belief of less serious consequences and control over the condition were positively associated with FCR.
There were mixed findings with regards to demographic factors and level of FCR. Younger age was significantly associated with FCR (Mellon et al.,
Of the 13 studies that assessed the association between clinical outcomes and FCR, six reported significant associations. Specifically, time since diagnosis (Boehmer et al.,
Two studies reported a significant association between comorbidities and caregiver FCR (Boehmer et al.,
Of the psychosocial factors examined, communication significantly affected FCR. The less someone was able to tell their partner about their cancer-related concerns, the more likely they were to experience FCR (Cohee et al.,
The review findings indicated that caregivers relied on various coping strategies, including reflection, relaxation, diversion and interpersonal approaches (e.g., through requiring frequent reassurance regarding FCR), which were significant predictors of higher FCR (Dempster et al.,
Significant outcomes were reported for psychological processes, specifically illness perceptions (Dempster et al.,
This review provides preliminary evidence that theoretical models used to understand FCR in cancer survivors may also be applicable to caregivers. For example, the limited research investigating psychological beliefs indicates that illness perceptions explained additional variance in FCR when controlling for demographic and clinical characteristics. This provides support for the Common Sense Model (Leventhal et al.,
Study Limitations and Implications for Research
There are several limitations which must be taken into consideration. As only published data were searched and included in this review, there is a possibility that relevant studies were missed. Furthermore, only citations written in English were considered for inclusion for review, which may have resulted in a language, selection or cultural bias. The aim of the review was to synthesize correlates and predictors of FCR in cancer survivors so as to produce a comprehensive overview of the current state of evidence with regards to factors associated with, and underpinning, FCR. As such, we only included quantitative studies. However, inclusion of qualitative studies may have provided valuable context or additional insights into the findings of this review. Meta-analysis of data was not possible to heterogeneity in included studies, which limited the depth of analysis possible. We focused, instead, on narratively summarizing the results of univariate and multivariate analyses, with preference given to the most complex/controlled analyses. However, this may make comparison with other literature difficult, and should be considered when interpreting findings.
Various methodological limitations of the included studies were identified. There is likely to be a risk of self-selection bias as recruitment methods were reliant on patients responding to the research adverts. Eight out of the 16 studies used a cross-sectional study design, thus precluding the ability to draw causal inferences. Only four of the prospective studies included in the review reported an adequate follow-up period; the remainder used experiential sampling methodology with follow-up periods ranging from 10 days to 3 weeks. Most studies reported data from the USA and participants were predominantly Caucasian females, thus may not reflect a representative sample of the population. It is also important to note that cancer patients were in different stages of diagnosis, therefore associations with FCR could differ as those caring for patients with more advanced cancer may perceive the diagnosis as being more serious and more likely to recur (Simard et al.,
With regards to the quality of studies, only five studies reported a sample size calculation, thus studies are potentially statistically underpowered and at risk of Type I error rates. Researchers should ensure that this is stipulated in future research papers, in order to ensure confidence in the statistical power of findings. Only three studies considered psychological beliefs associated with FCR in family caregivers (Dempster et al.,
Clinical Implications
Health professionals may want to consider certain demographic and clinical factors, such as younger age and treatment modality, when offering information on treatment approaches and providing the space to discuss concerns about recurrence. Previous research has identified a need for planning for transition from patient to “survivor” (Gilbert et al.,
Conclusions
The results of the review indicate that caregiver FCR is a significant concern and highlights the importance of furthering current understanding of this prevalent issue. Weak to moderate associations were found between certain demographic and clinical factors and increased FCR. Further research examining modifiable factors are required, in order to enhance understanding of the psychological processes that are involved in the development and maintenance of FCR in caregivers of cancer survivors. By investigating modifiable factors, this will provide evidence and guide the development of appropriate and effective interventions for this population.
Statements
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Author contributions
PF, MC, and LO'R conceived the study. MC and PF supervised the conduct of the review and provided extensive feedback on drafts. LO'R searched for data, screened and selected studies, extracted data, quality assessed included studies, and drafted the initial manuscript. AW screened and selected studies and cross-checked data extraction and quality assessment. SC provided clinical input into the review. All authors commented on a final draft of the manuscript.
Acknowledgments
The content of this manuscript has been published as part of the thesis of LO'R (O'Rourke,
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
1.^The samples of 26, 27, 28, 38, and 39 were drawn from a larger database (SEER). Thirty-eight and 39 used the same sample and therefore will be considered as one study. Twenty-six−28 studied non-overlapping samples and therefore will be interpreted and referred to as separate studies. Similarly, samples of 29 and 30 were drawn from a larger study (OPA, UK) but will be interpreted as separate studies as they used non-overlapping samples. Thirty-one, 35, and 36 were based on data from the MDCSS database and used the same sample, therefore will be considered as one study.
2.^Anxiety was assessed using the Profile of Mood States – Short Form (34), the Hospital Anxiety and Depression Scale (27), and the PROMIS Anxiety Short Form questionnaire (38).
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Summary
Keywords
cancer survivors, family caregivers, fear, recurrence, systematic review
Citation
O'Rourke L, Fisher PL, Campbell S, Wright A and Cherry MG (2021) Factors Associated With Fear of Cancer Recurrence in Family Caregivers of Cancer Survivors: A Systematic Review. Front. Psychol. 12:625654. doi: 10.3389/fpsyg.2021.625654
Received
04 November 2020
Accepted
08 February 2021
Published
16 July 2021
Volume
12 - 2021
Edited by
Sophie Lebel, University of Ottawa, Canada
Reviewed by
Dalnim Cho, University of Texas MD Anderson Cancer Center, United States; Peter Esser, Leipzig University, Germany
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Copyright
© 2021 O'Rourke, Fisher, Campbell, Wright and Cherry.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mary Gemma Cherry gcherry@liv.ac.uk
This article was submitted to Psycho-Oncology, a section of the journal Frontiers in Psychology
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