Abstract
Context
Family caregivers provide a central role in the care of those in hospice care. Little is known about the social support networks for those providing this day to day care without training.
Objectives
The purpose of this study was to explore changes in family and friend social networks among hospice caregivers over the course of the hospice stay.
Methods
Data on social support networks was collected as part of a multi-site randomized controlled trial and analyzed using structural equation modeling.
Results
A statistically significant decline in the caregivers’ family network subscale score was found over the four-week period during which they received hospice services, reflecting a possible weakening of their family networks.
Conclusion
This illustrates the potential importance of ongoing comprehensive assessment of caregiver networks and attention to interventions that may assist in both capitalizing on both the quantity of support (numbers of individuals asked to help) and the quality of social support (attending to issues of support burden).
Keywords: Convoy Model, Hospice, Social Networks, Caregivers, Social Support
Almost two million patients and their family members receive services from hospice agencies in the United States each year.1,2 The hospice model of care focuses on comfort and supportive care for patients as their terminal illness progresses through its natural course as well as supportive care for patients’ family members, irrespective of how patients choose to define “family.” In the United States, the prognosis of the patient (less than six months) determines hospice eligibility, independent of his or her specific medical diagnosis.1 Hospice agencies provide physician services, nursing care, medical social services, home health aides, bereavement support, spiritual support, and volunteer services. The majority of patients receive hospice care in their place of residence.1
Regardless of the setting in which patients receive hospice services, family members typically play a vital role in providing physical, emotional, and practical care. While many family members may assist in caring for a dying relative, research indicates that primary family caregivers who provide end-of-life care are on average female (78.9%), 64 years old, and are spouses (41.5%) or children (39%)of the hospice patient.3 These caregivers typically experience multiple stressors, including witnessing the progression of the patient’s terminal illness, performing caregiving tasks, observing the patient’s cognitive and behavioral changes, and feeling guilt and anticipatory grief.4 While these difficult experiences may negatively impact the physical and psychosocial well-being of caregivers,5 research shows that social relationships can moderate the emotional and physical strain that result from caregiving.6–8 While low levels of social support for caregivers have been associated with higher morbidity and mortality,9 higher levels of support have been found to protect against depression.10,11,12
There are many terms found in research literature to describe aspects of social relationships, including social support, social relationships, social integration, social ties, social bonds, and social networks.6 At their basic core, social networks are simply constellations of relationships among people, including family relationships as well as friendships.13 While, as previously described, the importance of family caregivers’ social support has been confirmed by existing research, how individuals’ social networks change over the course of their caregiving trajectories has not been thoroughly researched. Similarly, the differences in changes in the specific types of social networks – family or friendships, has not been assessed. These networks develop over time in different ways and may fulfill different needs.
In one related study,5 researchers documented an apparent decline in caregivers’ perceived social quality of life during the period of time in which they received hospice services. Shortly after their family member enrolled hospice, the mean score of caregivers’ social quality of life was higher than any of the other measured quality of life domains including physical, financial, and emotional quality of life. Thirty days later, however, the mean score of caregivers’ social quality of life was the lowest of the four measured domains.5 Similarly, in studies of caregivers of individuals with dementia, it has been found that the number of people available to provide social support to caregivers decreased over time.14 This is consistent with national studies, which suggest that most caregivers spend less time with family members and friends while in the caregiving role.2
Conceptual Model
The convoy model of social relations15 suggests that individuals are embedded in personal networks of people from whom they receive and provide social support across the life course. Relationships within these social networks vary in terms of characteristics such as their function, closeness, and structure, which are influenced by both personal and situational factors. In ideal situations, the core of one’s social network, an inner circle or “convoy” of close family members and friends, provides a protective layer of support that promotes health and well-being.15
However, research has shown that close social relationships do not always serve a supportive function during times of stress, such as when one is caring for a seriously ill family member. In their study of Chinese family caregivers of individuals with Alzheimer’s Disease found that caregivers’ positive and negative social exchanges were both higher with members of their “inner-circles” than with those with whom they had more distant relationships.16 This suggests that, while caregivers’ close social relationships may be more intense than other types of relationships, they are not necessarily more positive. In addition, as hospice patients become increasingly debilitated, their ability to provide social support to family members may decrease.17 For example, a woman caring for her dying mother may be less able to rely on her mother for social support over time, particularly if her terminal condition and her ability to communicate clearly decline. Finally, family members of dying individuals may find themselves less able to provide support for one another because they are all experiencing distress associated with caregiving and with witnessing the decline of a loved one. Thus, hospice family caregivers’ social convoys may be less capable of providing social support over time.17
The purpose of this study was to explore family caregivers’ social networks during the period of time they received hospice services. This study addresses the following research questions: 1) How do the sizes of hospice family caregivers’ social networks change over time? 2) Are specific socio-demographic characteristics associated with the initial status of and longitudinal changes in the sizes of hospice family caregivers’ social networks?
METHOD
Sample
This study was part of a larger randomized clinical trial (described in detail elsewhere18) testing an intervention for hospice family caregivers. For the current study, we analyzed longitudinal trajectories of social networks for 430 caregivers who were interviewed shortly after the initiation of hospice services for their family member and again two (n = 337) and four (n = 256) weeks later. Because almost two-thirds of all hospice patients die or are discharged (i.e., stop receiving hospice services) within 30 days of their hospice enrollment, participant attrition prevented us from examining caregiver social networks for a longer period of time.1
Measures
Social network
Family caregivers’ social networks were measured using the Lubben Social Network Scale (LSNS-6), a 6-item self-report instrument that measures the size, closeness, and frequency of contact with friends and family in a respondent’s social network.19 Sample questions include “How many relatives do you see or hear from at least once a month?” and “How many friends do you feel close to such that you could call on them for help?” Individual items are scored (0 = none, 1 = one, 2 = two, 3 = three or four, 4 = five thru eight, 5 = nine or more) and summed. Overall scores range from 0 to 30, while subscale scores vary from 0 to 15. Higher scores on the overall scale indicate a larger social network and suggest a decreased risk for social isolation. Individuals with total scores less than 12 are considered socially isolated.20,21 The internal consistency of the overall scale with our data upon hospice enrollment was good (α = .84). The internal consistency of the family (α = .81) and friendship (α = .86) subscales were also good.
Time-invariant covariates
The following exogenous predictor variables used to predict family caregiver differences were considered: age (in years), caregiver residence (0 = caregiver does not live with the patient, 1 = caregiver lives with the patient), marital status (0 = married, 1 = not married), race (0 = white, 1 = not white), and sex (0 = female, 1 = male).
Data Analysis
Descriptive statistics
Frequencies and percentages were calculated for caregiver residence, marital status, race, caregiver’s relationship to the patient, and gender. Mean and standard deviation (SD) were calculated for the total score of the LSNS-6, its family and friend subscales, and age.
Missing data
We had very little missing data on either the outcome variable or the covariates. Missing data were handled using the full information maximum likelihood (FIML) algorithm, which allows the estimation of a likelihood function for each individual case using all the available information in the variables across cases. 22
Linear growth curve modeling
Structural equation modeling (SEM) is a flexible multivariate statistical modeling framework for specifying and testing relationships among sets of variables. Linear growth curve (LGC) modeling is an application of SEM that can be used to study intra-individual (i.e., within-person) and inter-individual (i.e., between-person) trajectories over time by modeling parameters of the trajectories as latent variables.23,24
Unconditional model
We first fitted unconditional LGC models to characterize the trajectories of social network scores of hospice family caregivers upon entry (n = 430) and then subsequently at the second (n = 337) and fourth (n = 256) weeks. The coefficients of each intercept factor were fixed at 1, which means that the intercept remains constant across time for each individual. The factor loadings for the intercept and slope factors were constrained at 0, 2, and 4 to establish linear trend, which represent the time intervals of initiation of hospice services, two weeks and four weeks later, respectively.
Conditional model
We then fitted conditional LGC models that incorporated time invariant covariates as predictors on the social network trajectories. The social network scores were regressed on age, caregiver residence, marital status, race, and gender to predict the trajectories. The coefficients of the intercepts remained fixed at 1 and factor loadings of the intercepts and slopes constrained at 0, 2, and 4.
Model fit
We evaluated model fit with several recommended indices and cutoff values: Comparative Fit Index (CFI) ≥ .95; Root Mean Square Error of Approximation (RMSEA) ≤ .06; Standardized Root Mean Square Residual (SRMR) ≤ .08, and the Tucker-Lewis Index (TLI) ≥ .95.25 All statistical analyses were performed with Mplus 7.26
RESULTS
Hospice family caregivers at baseline (N = 430) ranged in age from 21 to 91 years and were mostly White (92%), female (78%), or married (70%). Most were adult children (54%) who did not reside with the hospice patient (60%). Caregivers reported that their family networks (9.8, SD = 3.2) were larger than their friend networks (8.9, SD = 3.6), and that their overall social networks were large (18.7, SD = 5.8). See Table 1 for baseline caregiver characteristics.
Table 1.
Characteristics | n (%) |
---|---|
LSNS-6, mean (SD) | 18.7 (5.8) |
Family, mean (SD) | 9.8 (3.2) |
Friends, mean (SD) | 8.9 (3.6) |
Age, yrs, mean (SD) | 59.8 (12.7) |
Lives with Patient (yes) | 172 (40) |
Marital Status | |
Never Married | 34 (7.9) |
Married | 302 (70.2) |
Separated | 10 (2.3) |
Divorced | 55 (12.8) |
Widowed | 26 (6) |
Other | 2 (<1) |
Race and Ethnicity | |
American Indian / AK Native | 9 (2.1) |
African American | 22 (5.1) |
White | 395 (91.9) |
More than One Race | 2 (<1) |
Other | 2 (<1) |
Relationship to Patient | |
Spouse | 106 (24.7) |
Adult Child | 231 (53.7) |
Sibling | 13 (3) |
Parent | 4 (<1) |
In-Law | 23 (5.3) |
Other Relative | 26 (6) |
Professional | 4 (<1) |
Non-Relative | 12 (2.8) |
Other | 9 (2.1) |
Sex (male) | 95 (22.1) |
Note: LSNS-6 = Lubben Social Network Scale; SD = standard deviation; GED = general educational development.
Research Question 1: How, if at all, do the sizes of hospice family caregivers’ social networks change over time? Overall, this sample reported large social networks upon hospice enrollment with a mean LSNS-6 score of 18.7. Caregivers’ average family network subscale score upon enrollment was 9.81 and decreased an average of 0.12 over the initial four-week period during which they received hospice services. In contrast, caregivers’ average friend network subscale score upon admission was 8.88 and did not significantly decrease (≤ 0.005) over the four-week hospice stay (p = 0.944). Overall, model fit statistics of the unconditional model are excellent (CFI = 0.993, TLI = 0.986, RMSEA = 0.049, SRMR = 0.018). See Table 2 for complete information on the model.
Table 2.
Estimate | SE | |
---|---|---|
Family Slope WITH | ||
Family Intercept | 0.100 | 0.190 |
Friends Intercept WITH | ||
Family Intercept | 5.386* | 0.549 |
Family Slope | 0.032 | 0.117 |
Friends Slope WITH | ||
Family Intercept | −0.107 | 0.105 |
Family Slope | 0.121* | 0.021 |
Friends Intercept | 0.193 | 0.189 |
Means | ||
Family Intercept | 9.808* | 0.149 |
Family Slope | −0.122* | 0.034 |
Friends Intercept | 8.877* | 0.172 |
Friends Slope | 0.002 | 0.034 |
Variances | ||
Family Intercept | 7.265* | 0.745 |
Family Slope | 0.031 | 0.079 |
Friends Intercept | 10.271* | 0.880 |
Friends Slope | 0.086 | 0.088 |
Residual Variances | ||
Family1 | 2.833* | 0.614 |
Family2 | 1.480* | 0.276 |
Family3 | 2.240 | 0.732 |
Friends1 | 2.874* | 0.652 |
Friends2 | 2.127* | 0.393 |
Friends3 | 1.170 | 0.701 |
Note: SE = standard error;
p≤0.001; Model fit: CFI = 0.993, TLI = 0.986, RMSEA = 0.049, SRMR = 0.018.
Research Question 2: Are specific socio-demographic characteristics associated with the initial status of and longitudinal changes in the sizes of hospice family caregivers’ social networks? Certain socio-demographic characteristics were found to be associated with the initial status of hospice family caregivers’ social networks. Specifically, at the time of enrollment in hospice, unmarried male caregivers had smaller family networks, and caregivers living with their patients had smaller friend networks. Other characteristics were found to be associated with longitudinal changes in hospice family caregivers’ social network. Older caregivers experienced significant improvement in the size of their family networks during the first four weeks of hospice services, while Non-White caregivers experienced significant decline in the size of their friend networks. Overall, model fit statistics of the conditional model are excellent (CFI = 0.972, TLI = 0.941, RMSEA = 0.065, SRMR = 0.023). See Table 3 for complete information on the model.
Table 3.
Estimate | SE | Estimate/SE | p-Value | |
---|---|---|---|---|
Family Intercept ON | ||||
Male | −0.134* | 0.048 | ||
Lives with patient | −0.032 | 0.052 | ||
Not Married | −0.125* | 0.057 | ||
Non White | 0.001 | 0.062 | ||
Age | 0.096 | 0.059 | ||
Family Slope ON | ||||
Male | 0.155 | 0.160 | ||
Lives with patient | 0.168 | 0.163 | ||
Not Married | −0.139 | 0.176 | ||
Non White | −0.319 | 0.253 | ||
Age | 0.365 | 0.241 | ||
Friends Intercept ON | ||||
Male | −0.010 | 0.052 | ||
Lives with patient | −0.123* | 0.053 | ||
Not Married | −0.088 | 0.056 | ||
Non White | −0.001 | 0.053 | ||
Age | 0.061 | 0.054 | ||
Friends Slope ON | ||||
Male | 0.072 | 0.109 | ||
Lives with patient | 0.083 | 0.109 | ||
Not Married | −0.047 | 0.108 | ||
Non White | −0.204* | 0.104 | ||
Age | 0.087 | 0.112 |
Note: SE = standard error;
p≤0.01; Model fit: CFI = 0.972, TLI = 0.941, RMSEA = 0.065, SRMR = 0.023.
DISCUSSION
This study is a secondary analysis of data collected for another purpose, and is thus limited by the available data. Nonetheless, these data offer an opportunity to explore social networks during a very distinct timeframe for patients and caregivers. It should be acknowledged that the length of time patients are enrolled in hospice is not reflective of the entire health crisis of dying or the preceding life experiences related to the terminal illness journey. However, we believe there is value in understanding the social support networks in the context of this critical timeframe: the final weeks of the terminal illness trajectory.
In this study we explored hospice family caregivers’ social networks during the first four weeks of hospice services which, for many caregivers, was comparable to the entire amount of time they received hospice care (median number of days = 28).1 Results indicated that the size of caregivers’ family networks declined during this time, while the size of their networks of friends did not. This suggests that, as the caregiving burden likely increased, the number of supportive family members available to these caregivers decreased.
These findings may be explained, at least in part, by the previously reviewed research on social support and family caregiving. The reduction in family networks, while statistically significant, was quite small (an average decrease of 0.12 family members) and could easily be explained by either loss of support from the patient due to increasing debility17, negative interactions with family members16, and/or the inability of distressed family caregivers to provide social support at a level comparable to what they provided in the past.17 It is important to note that social relationships might ebb and flow over a longer period of time than four weeks, and that the findings from our exploratory study must be interpreted with caution. With that said,, these findings appear consistent with well-established theory on stress and family functioning, which indicates that family resources (e.g., family integration, adaptability) that are generally adequate to support family functioning may prove insufficient in the face of significant stressors27 such as caregiving demands and the imminent death of a loved one.
Importantly, we found that the size of caregivers’ social networks and changes in the size of these networks varied according to certain socio-demographic variables. Shortly after hospice services were initiated, unmarried male caregivers reported smaller family networks than others and caregivers who co-resided with their dying family member indicated that fewer supportive friends were available to them than their counterparts who lived apart from their hospice patient. With regard to changes over time, older caregivers experienced increases in the size of their family networks in the first month of hospice services, and non-White caregivers experienced a decrease in the size of their friend networks.
Additional research is required to provide logical explanations for these differences. Decidedly little is known about the experiences of male caregivers,28 much less those who are unmarried, making it difficult to suggest reasons the size of their family networks may be smaller than those of other caregivers. Studies of the general adult population, however, may hold some answers. For example, one study conducted in the Netherlands found that adult women were more likely than men to exchange emotional support with siblings, but only with sisters, not brothers.29 If such a pattern exists among adult siblings in the United States, it may help explain the association between marital status and gender in our caregiver data.
The finding that caregivers who co-resided with their dying family member had statistically significantly smaller friend networks early in their hospice experience but not later is surprising. American society has long been labeled death-avoidant and witnessing another’s death is a powerful reminder of one’s own mortality,30 suggesting that friends would be less likely to visit a caregiver as their loved one’s death grows nearer. It is important to note, however, that while this difference was statistically significant between individuals at the time of hospice enrollment, the change over time was not statistically significant. Additional research is needed to interpret this complex and somewhat unexpected result.
Some socio-demographic differences in the size of social network changes over time are perhaps more aligned with existing research. For example, the increase in family support for older caregivers may be the result of family members rallying around older relatives, whose physical limitations may appear more pronounced as the caregiving role becomes more physically demanding.31 Other results, such as the statistically significant decrease in the size of friend networks for non-White caregivers but not White caregivers, require additional research to explain, as little is known about the minority hospice experience.32
Practice Implications
Caregivers’ perceived reduction in family support during the course of hospice presents a number of opportunities for intervention. While this study did not investigate the causes of changes in the size of family networks over time, it is possible that family conflicts played a role in at least some of the cases. Research supports what many health care providers anecdotally report: family conflicts at end of life are far from rare. In a study of interdisciplinary team members caring for low-income older adults in the last six months of life, health care professionals indicated that conflict occurred in over half of their patients’ families and was an extremely important factor in 44% of their patients’ deaths.33 In a recent study, 57% of hospice family caregivers reported experiencing some family conflict.34 This suggests that targeted psychosocial interventions, such as family counseling and conflict resolution skills training, might be beneficial offerings of hospice agencies to caregivers. In addition, because a lack of advance care planning has been shown to predict family conflict at end of life,34 encouraging open discussions about one’s end-of-life wishes early in the disease trajectory is recommended.
The findings from our study might also have implications for psychosocial caregiver assessments conducted in hospice. The statistically significant changes in the size of caregivers’ social networks over time, while marginal, suggest that it might be insufficient to only assess caregivers’ social resources at enrollment. Caregivers’ social networks and resources might need to be assessed over the hospice stay, and care plans adapted accordingly, because familial support may decrease just as patient frailty and caregiving demands increase. Additional research is needed in this area.
Finally, these results underscore the profound impact that the death of a significant loved one has on a caregiver. The death of the hospice patient, who quite often has played a central role in the caregiver’s social convoy, may have a dramatic impact on the caregiver’s social support and well-being. Research indicates that most bereaved caregivers are eventually able adapt to their loved one’s death in healthy ways; thus, experts discourage providing structured interventions to all bereaved individuals, emphasizing the need for an individualized approach based on an ongoing assessment of each caregiver’s unique needs.35
Acknowledgments
This project was supported by Award Number R01NR011472 from the National Institute of Nursing Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Nursing Research or the National Institutes of Health. The ClinicalTrials.gov registration number is NCT01211340.
Footnotes
Disclosure: There are no other financial relationships associated with these results that may reflect a conflict of interest or be perceived to reflect a conflict of interest.
Contributor Information
David L Albright, Email: dlalbright@ua.edu, Associate Professor, The University of Alabama, School of Social Work, Box 870314, Tuscaloosa, AL 35487-0314.
Karla Washington, Email: Washingtonkar@missouri.edu, Assistant Professor, Curtis W. and Ann H. Department of Family and Community Medicine, University of Missouri, Medical Annex 306G, Columbia, Mo 65212.
Debra Parker Oliver, Email: oliverdr@missouri.edu, Professor, Curtis W. and Ann H. Department of Family and Community Medicine, University of Missouri, Medical Annex 306G, Columbia, Mo 65212, 573-356-6719.
Alexandria Lewis, Email: lewisale@missouri.edu, Assistant Clinical Professor, School of Social Work, Columbia, Mo 65212.
Robin L. Kruse, Email: Kruser@missouri.edu, Research Associate Professor, Curtis W. and Ann H. Department of Family and Community Medicine, University of Missouri, Medical Annex 306G, Columbia, Mo 65212.
George Demiris, Email: gdemiris@uw.edu, Professor, Biobehavioral Nursing and Health Systems, School of Nursing & Biomedical and Health Informatics, School of Medicine, University of Washington.
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