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. Author manuscript; available in PMC: 2010 Jan 1.
Published in final edited form as: J Pain Symptom Manage. 2008 Jun 6;37(1):33–43. doi: 10.1016/j.jpainsymman.2007.12.017

Looking Beyond Where Children Die: Determinants and Effects of Planning a Child’s Location of Death

Veronica Dussel 1, Ulrika Kreicbergs 1, Joanne M Hilden 1, Jan Watterson 1, Caron Moore 1, Brian G Turner 1, Jane C Weeks 1, Joanne Wolfe 1
PMCID: PMC2638984  NIHMSID: NIHMS88517  PMID: 18538973

Abstract

While dying at home may be the choice of many, where people die may be less important than argued. We examined factors associated with parental planning of a child’s location of death (LOD) and its effects on patterns of care and parent’s experience. In a cross-sectional study of 140 parents who lost a child to cancer at one of two tertiary level U.S. pediatric hospitals, 88 (63%) planned the child’s LOD and 97% accomplished their plan. After adjusting for disease and family characteristics, families whose primary oncologist clearly explained treatment options during the child’s end of life (EOL) and who had home care involved were more likely to plan LOD. Planning LOD was associated with more home deaths (72% versus 8% among those who did not plan, P<0.001) and fewer hospital admissions (54% versus 98%, P<0.001). Parents who planned were more likely to feel very prepared for the child’s EOL (33% versus 12%, P=0.007) and very comfortable with LOD (84% versus 40%, P<0.001), and less likely to have preferred a different LOD (2% versus 46%, P<0.001). Among the 73 non-home deaths, planning was associated with more deaths occurring in the ward than in the intensive care unit or other hospital (92% versus 33%, P<0.001), and fewer children being intubated (21% versus 48%, P=0.029). Comprehensive physician communication and home care involvement increase the likelihood of planning a child’s LOD. Opportunity to plan LOD is associated with outcomes consistent with high quality palliative care, even among non-home deaths, and thus may represent a more relevant outcome than actual LOD.

Keywords: Children, cancer, palliative care, terminal care, hospice, home care, location of death, quality of care, attitude to death, death

Introduction

Whereas dying at home may be the choice of many,15 the actual place of death may be less important than has been argued. Among nine attributes of a good death examined in our study, patients ranked dying at home as the least important characteristic.6 In another study, patients reported dying at the preferred location as highly important.4 The Institute of Medicine report “When Children Die”7 has recommended advance planning regarding several aspects of end-of-life (EOL) care, including location of care and location of death (LOD). This report suggests that “planning [in advance of an expected death] can… provide parents some comfort as they anticipate and grieve in advance… [and] …help reduce …distressing experiences including unwanted interventions.” However, to date, research in children has focused on predictors,8 9 trends,10 11 and effects12 13 of place of death. Little is known about what factors facilitate the opportunity to plan a child’s LOD and further, what effects, if any, result from planning LOD.

We sought to determine whether modifiable clinical factors, such as communication about EOL care options and use of support services, were associated with parental planning of LOD, after adjusting for child and family characteristics. In addition, we explored whether parental planning of the child’s LOD had any impact on patterns of care and the parent’s experience with the child’s EOL.

Methods

We conducted a retrospective cross-sectional survey of bereaved parents whose children were cared for at the Dana-Farber Cancer Institute/Children’s Hospital Boston (DFCI/CHB), and Children’s Hospitals and Clinics of Minnesota (CHCM). Methods have been described elsewhere.1416 Parents and physicians of children who died of cancer between 1990 and 1999 were interviewed between 1997 and 2001. Parents were considered eligible if they were English speaking, resided in North America, the child had died of cancer more than one year ahead of data collection, and the child’s physician gave permission to contact the family. Eligible families received a letter of invitation containing a postage-paid “opt-out” (DFCI/CHB) or “opt-in” (CHC) postcard, according to each site’s institutional review board standards. One parent per family was interviewed, chosen by the family. Charts of children of participating parents were also reviewed.

Permission to contact families was denied in 19 cases. Of the 244 eligible parents, we were able to reach 222, and 141 parents completed the surveys, for an overall response rate of 64%. Responders and non-responders did not differ regarding child’s age at death or diagnosis. Most interviews were administered by telephone; 35 were conducted face-to-face based on parent preference. Interviews were conducted a median of 3.3 years after the child’s death (range 1.1–10.8 years). Our results are based on 140 parents who answered the planning LOD question.

Parental Survey

The parental survey is a 390-item semi-structured questionnaire. Whenever possible, previously validated items were chosen, however most items were developed de novo from literature review and using focus groups of parents and medical caregivers.17 All questions reported in this analysis are close-ended questions with yes/no or Likert type response options.

This report focuses on the following items: 1) “Were you able to plan in advance the location of your child’s death?” (yes/no); 2) “Did your child die in the location you had planned?” (yes/no); 3) “How comfortable were you with the location of your child’s death?” (“very comfortable” vs. “somewhat comfortable,” “somewhat” or “very uncomfortable”); 4) “Would you have preferred your child to have died elsewhere?” (yes/no) -- if yes, where?; and 5) “Did you feel well prepared for the circumstances at the time of your child’s death?” (“very prepared” vs. “somewhat,” “a little,” “not at all prepared”). Parents were also asked whether the primary clinician gave a clear explanation about all available treatment options during the EOL period (“agree strongly” vs. “agree somewhat,” “disagree somewhat,” “disagree strongly”), whether they were followed by a psychosocial clinician (yes/no), and whether home care was involved in the child’s care (yes/no). Timing of home care discussion was reported as days before the child’s death (analyzed as < or ≥ 30 days prior to death). Information about LOD (home/treating hospital/other location), sociodemographic, and family characteristics was also collected.

Medical Record Review

Child’s sex, diagnosis (hematological vs. non-hematological cancer), type of death (cancer progression vs. treatment-related complication), patterns of care (admission to hospital during last month of life, visits to emergency department in last week of life, intubation in the last 24 hours, use of cardiopulmonary resuscitation (CPR), withdrawal of supportive measures), and zip code were collected from the medical records. Distance to the hospital was calculated with http://webservices.imacination.com/distance/.

Statistical Methods

All analyses were conducted using the SAS statistical package (SAS Institute, Inc, Cary, NC). Missing data for the outcome and independent variables were handled using the complete case method.18

Determinants of Planning LOD

Determinants of planning LOD were explored using multivariate logistic regression models. The modifiable clinical factors considered as independent variables included (1) strongly agree that oncologist gave clear information about all available treatment options during EOL period, (2) parent was followed by a psychosocial clinician, and (3) home care became involved. All were treated as binary variables. Disease, child, and family characteristics were included as covariates to control for potential confounding. Our model-building strategy began with univariate analyses using Pearson χ2 test for categorical variables and t-test or Wilcoxon rank-sum test for continuous variables. Prior studies indicate that children with hematological cancers are more likely to die in the hospital, have a shorter EOL trajectory, are eligible for intensive treatments such as bone marrow transplant, and are more likely to die from treatment-related complications.9 1921 Hence, we expected parental planning to be limited in children with hematological cancers and elected to force this variable into the models. Remaining child and family covariates were selected using a stepwise, forward-selection logistic regression procedure setting a P-value <0.15 for variable entry, and a P-value <0.05 for retention in the model. To build our final model, we manually introduced those independent variables with a Wald test P <0.1 in ascending order, adjusting for diagnosis and the child and family covariates previously selected. Potential confounders (change in β estimates >20%) were retained in the model. Given the small sample size, our ability to check for interactions was limited. If significant variables had more than five missing values, we conducted a sensitivity analysis imputing all missing values to each possible response option successively. This conservative approach was based on the risk of instability derived from our small sample size. Finally, we assessed whether physician clustering played a significant role by using generalized estimating equations (PROC GENMOD) to fit the model. Results are reported as odds ratios (OR) with 95% confidence intervals (CI).

Effects of Planning LOD

To explore the effects of planning LOD, univariate analyses were performed with the Pearson χ2 test or Exact Fisher’s test using planning LOD as the independent variable. We examined the following patterns of care: 1) actual LOD, 2) hospital admissions in last month of life (yes/no), and ≥ 3) one emergency department visit in last week of life. In the subgroup of families whose children did not die at home, we also examined 1) being intubated in the last 24 hours of life, 2) CPR attempted, and 3) withdrawal of support measures other than intubation. We also explored impact of planning on the following aspects of the parent’s experience: 1) parents feeling very prepared for medical circumstances around the time of death, 2) parents feeling very comfortable with LOD, and 3) parents reporting they would have preferred another LOD. To explore if the impact of planning extended beyond the actual LOD, we also conducted the same analysis in the subgroup of families whose children did not die at home.

Results

Most parents, 62% (n=88/140), were able to plan their child’s LOD. Table 1 presents child, family, and clinical characteristics of those who planned and those who did not plan LOD.

Table 1.

Characteristics of patients whose parents planned location of death (LOD) and patients whose parents did not plan LOD

Planned LOD1
YES (N=88) N (%) NO (N=52) N (%) p-value2
Study Site
 Massachusetts 62(70) 40(77) 0.406

 Minnesota 26(30) 12(23)
Disease characteristics
Type of cancer
 Hematological malignancy 32/87 (37) 38 (73) <0.001
 Other 55/87 (63) 14 (27)
Type of death
 Disease Progression 84/87 (97) 25/51 (49) <0.0013
 Treatment-related 3/87 (3) 26/51 (51)

Child characteristics
Male Gender 52(59) 22 (42) 0.055
Child’s age at death in years, mean (SD) 10.6 (6.5) 9.6 (6.7) 0.3994

Parental characteristics
Parental Age at child’s death in years, mean (SD) 39.8(8.2) 37.8(8.2) 0.1744
Was married before the child died 77 (88) 44(85) 0.630
White race 82 (93) 48(92) 1.0003
Post secondary education 65(74) 43(83) 0.229
Annual Income > 35,000 70(80) 36(69) 0.169
Private insurance 82(93) 43(83) 0.053
Christian 67/87(77) 39(75) 0.787
Religiousness (very vs. somewhat/not at all religious) 25(28) 26/51(51) 0.008

Other family characteristics
Number of other children, median (range) 2(0–8) 2(0–5) 0.9945
Distance from Hospital in miles, median (range) 20 (2–853) 24 (2–216) 0.3825
Time elapsed since child’s death in years, median (range) 4(1–11) 3(1–8) 0.2995
Family had previous loss 76(86) 33(64) 0.002
 Age of the deceased in years, mean (SD) 57.7(21.8) 67.2(14.4) 0.0104
 Previous loss was a parent, sibling, spouse or child 46/76(61) 15/33(46) 0.145
 Previous death due to cancer 33/76(43) 14/33(42) 0.923
 Previous death associated with a lot of suffering 25/70(36) 16/32(50) 0.172

Clinical Factors
Oncologist gave information about treatments during EOL 69/83(83) 29/46(62) 0.011
Parent was followed by psychosocial clinician 54/87(62) 36/50(72) 0.238
Home care became involved 71/86(83) 18/51(36) <0.001
 Home care was discussed ≥ 30 days before death 48/82 (59) 14/52 (27) <0.001
1

Denominator indicated when appropriate

2

χ2 test

3

Fisher’s Exact test

4

Student T test

5

Wilcoxon Rank Sum test

Determinants of Planning LOD

Disease and Child Characteristics Associated with Planning LOD

Planning was less likely among children with hematological cancers as compared to other diagnoses (P<0.001) (Table 1). Dying from disease progression, as opposed to treatment toxicity, was associated with a higher likelihood of planning LOD (P<0.001). Given that almost all patients with non-hematological malignancies died due to disease progression (69/70) but only 59% (41/69) of those with hematological cancers did so, we considered type of death to be an intermediate variable and excluded it from the multivariate analysis. No other child characteristics were associated with parental planning of LOD.

Parent Characteristics Associated with Planning LOD

Though most sociodemographic characteristics were similar among parents who planned LOD and those who did not, parents who were very religious were less likely to plan (P=0.008) (Table 1). On the other hand, parents who experienced a previous loss were more likely to plan (P=0.002), especially if the deceased was younger (P=0.008). Distance to the hospital was not associated with planning.

In multivariate analysis, adjusted for diagnosis, three family characteristics remained independently associated with planning LOD (Table 2); families who had experienced a previous loss and/or who had private insurance were more likely to have planned their child’s LOD, and those who were very religious were less likely to have planned.

Table 2.

Multivariate analysis of determinants associated with planning a child’s LOD1

Non-modifiable factors model (disease and family characteristics)
Adjusted Modifiable factors model2
OR (CI95%)3 p-value OR (95%CI)3 p-value
Disease and family characteristics
Child had hematological cancer 0.20 (0.1–0.5) <0.001 0.34 (0.1–0.9) 0.036
Family experienced a previous loss 5.64 (2.1–15.1) <0.001 7.44 (2.4–23.3) <0.001
Having Private Insurance 5.60 (1.5–21.5) 0.012 5.33 (1.3–22.9) 0.024
Being very religious 0.33 (0.1–0.8) 0.011 0.27 (0.1–0.8) 0.011

Clinical factors
Oncologist clearly explained treatment options 3.87 (1.3–11.8) 0.017
Home care was involved 5.34 (2.0–14.6) 0.001
1

LOD: location of death

2

14 observations missing. Sensitivity analysis and clustering by physician did not significantly alter results

3

OR: Odds ratio (95%CI: 95% Confidence intervals)

Modifiable Clinical Factors

Parents who reported that they strongly agreed that physicians communicated about all treatment options at the EOL were more likely to plan LOD as compared to those who did not agree strongly (P=0.011). Home care involvement was also associated with planning LOD (P<0.001) (Table 1). Importantly, parents who planned LOD were more likely to have discussed home care at least 30 days before the child’s death (P<0.001) (Table 1).

After adjusting for diagnosis, previous experience with loss, being very religious, and having private insurance, parents who felt that primary oncologists had clearly explained all treatment options available during the EOL period were 3.87 (95% CI 1.3, 11.8) times more likely to plan LOD as compared to families that felt otherwise; likewise, families that had home care services were 5.34 (95% CI 2.0, 14.6) times more likely to plan LOD compared to families who did not have home care.

In this final multivariate model, there were 14 missing observations, 11 of them related to the variable “oncologist clearly explained treatment options.” Sensitivity analysis did not change results significantly; neither did clustering by physician.

Impact of Planning LOD

Ninety-seven percent (n=85/88) of parents who planned their child’s LOD reported that the child died in the planned location. Table 3 presents patterns of care at the EOL associations with planning LOD. Overall, 67 children died at home and 73 at non-home locations. Children whose parents planned LOD were significantly more likely to die at home (P<0.001), and were less likely to be admitted to the hospital during the last month of life (P<0.001). Among the subgroup of families whose child did not die at home, children whose parents planned LOD were significantly more likely to die in a hospital ward as opposed to the Intensive Care Unit (ICU) or another hospital (P<0.001) and less likely to have been intubated in the last 24 hours of life (P=0.029).

Table 3.

Impact of planning LOD1 on patterns of care at end-of-life

Planned LOD2
YES N (%) NO N (%) P3
All Deaths (N=140) N=88 N=52

LOD
 Home 63 (72) 4 (8) <0.0014
 Hospital 25 (28) 39 (75)
 Other 0(0) 9(17)

Admission to hospital during last month of life 47/87(54) 51(98) <0.001
At least 1 Emergency Room visit in last week 5/84(6) 8/50(16) 0.057

Non-Home deaths (N=73) N=25 N=48

Location of death
 Hospital Ward 23 (92) 16 (33) <0.0014
 Intensive Care Unit 2(8) 23 (47)
 Other Hospital 0(0) 9(19)

Number of days admitted during last month of life, median (interquartile range) 17(4–27) 21(6–28) 0.494

Intubated in last 24 hours 5/24(21) 21/44(48) 0.029

CPR5 attempted 1/24 (4) 8/43 (19) 0.1424

Withdrawal of support (other than intubation) 9/25(36) 8/42 (19) 0.123
1

LOD: location of death

2

Denominator indicated when appropriate

3

χ2 test

4

Fisher’s Exact test

5

CPR: cardiopulmonary resuscitation

Regarding parent’s experience around the time of the child’s death (Figure 1, upper panel), parents who planned were significantly more likely than their counterparts to feel very prepared for medical circumstances around the time of death (28/85 (33%) versus 6/50 (12%), P=0.007), to report being very comfortable with the LOD (74/88 (84%) versus 20/50 (40%), P<0.001), and less likely to have preferred the death to occur at another location (2/88 (2%) versus 22/48 (46%), P<0.001). Among children who did not die at home, parents who planned were also more likely to report feeling very comfortable with LOD (16/25 (64%) versus 17/46 (37%), P=0.029) and less likely to have preferred another LOD than those who did not plan (2/25 (8%) versus 22/44 (50%), P<0.001). Among parents whose child did not die at home and who would have preferred another LOD, 63% (n=15/24) would have preferred the death to be at home.

Figure. Effects of parental planning of the child’s location of death (LOD).

Figure

Upper Panel shows parent reports of their sense of preparedness at the time of death, and level of comfort and regret related to the actual LOD, stratified by whether or not they planned LOD(N=140).

Lower Panel shows the same results for parents of children who did not die at home (N=73).

Discussion

Our study is one of the first to examine determinants and effects of parental planning of their child’s LOD. Dying at home has been signaled as an indicator of good quality EOL care. However, despite numerous efforts and advancement of the palliative care field, pediatric home death rates, although growing, have remained low.22 In this analysis, we were able to take a step back, and look at the opportunity to plan LOD, an outcome that if targeted, may not only help increase home death rates but also bring about high quality EOL care for children who do not die at home. We therefore hope that these results will begin a dialogue about the need for EOL quality indicators that are more aligned with the patient and family perspective.

In comparing our results to those published, we found that studies about effects of planning are scarce. Previously published rates of death at planned or preferred LOD in terminally ill adults range from 33% to 67%,5 2325 which is much lower than the 97% seen in our study. The higher success rate in children may be due to the unique qualities of the parental role. In fact, terminally ill adults who live with relatives and have support and advocacy from extended family are more likely to die at the preferred LOD25 and to die at home.26 The role of a parent inherently includes advocacy, as well as financial and emotional support, and this may lead to greater opportunities for successful planning.

Our findings indicate that planning is associated with benefits for both children and parents. Most parents who planned chose home for the child’s place of death, which prior research suggests has beneficial effects on family outcomes.13 27 Parental preparedness, which we also found to be associated with planning, has been identified as a key determinant of high quality EOL care.28 In addition, the children of parents who planned were more likely to experience less invasive care around the time of death, and parents reported less decisional regret about the LOD. That the effects of planning remained consistent among children who did not die at home suggests that there is an intrinsic benefit to planning that extends beyond increasing the likelihood of death at home. This becomes particularly relevant when considering that almost 60% of children who die from cancer in the US do not die at home22 and that home death, albeit beneficial for many, imposes extraordinary demands on some families.29 Taken together, our findings suggest that the opportunity to plan LOD may be a better proxy for high quality EOL care than the actual LOD, one that is more inclusive, and better aligned with palliative care principles.

The effects reported in this paper are restricted to the period surrounding death, and as such, extrapolation to complex long-term outcomes, such as grief, should be made with caution. However, there is some evidence suggesting that the experience at the time of death has long-lasting effects. Kreicbergs et al. found that when the child’s actual death was difficult, 80% of parents were still affected by the experience 4–9 years later.30 Another study uncovered that when the death is more expected, parents experience less grief.31 By influencing the experience around the time of death, planning may affect long-term bereavement outcomes. The extent of these potential effects needs to be determined.

By uncovering modifiable factors that facilitate parental planning of the child’s LOD, such as communication and support services, our study identified potential targets for future interventions. Improving physician-patient communication is challenging but can be achieved by providing specific training and modeling.32 33 For example, Alexander et al.34 reported that a short intensive training course focusing on delivering bad news and discussing preferences with patients at the EOL improved residents overall communication skills, though conversations about advance care planning were harder to teach. Additional strategies may be needed to improve physician’s ability to facilitate planning. For example, instruments such as the Seattle Pediatric Palliative Care Project Decision Making Tool,35 may be of help. This tool prompts physicians to document risks and benefits of all treatment options discussed with parents, one of the factors identified by our study to be associated with planning. Preliminary results of the project showed beneficial effects on the child’s quality of life and family satisfaction with EOL care. Further exploration of these types of interventions, as well as a better understanding of the barriers physicians face when talking to parents, may increase the effectiveness of communication at this very challenging time.

Early involvement of home care may also facilitate the opportunity to plan LOD. Unfortunately, home care continues to be integrated late into the care of patients with advanced disease36 and is especially under-utilized in children with life-limiting illnesses.37 38 The probability of physicians referring children to hospice services depends largely on access to qualified programs and a willingness of such programs to continue disease-modifying therapies.38 39 Unfortunately, few home care and hospice services accommodate these needs.37 Thus, to facilitate opportunities for planning LOD, strategies aimed at reducing barriers to home-based pediatric palliative care are needed. In this regard, the state of Massachusetts recently launched a state-wide initiative, the Massachusetts Pediatric Palliative Care Program, which provides coverage of in-home pediatric palliative care consult services to children with life-limiting conditions regardless of their life expectancy, use of disease-directed treatment, or block nursing.40 Broad educational programs, such as the Initiative for Pediatric Palliative Care (IPPC),41 may also serve to broaden access to pediatric palliative care by increasing the number of trained clinicians. Evaluation of these, as well as other initiatives, will inform policy makers and health care payers about ways of improving children’s access to home-based palliative care services.

Our study has a number of limitations primarily related to its cross-sectional design. However, the rigorous approach to analysis lends validity to the results. In assessing determinants of planning, independent variables and covariates were chosen parsimoniously and whenever possible based on prior knowledge.15 26 42 43 This empirically driven model and its stability to sensitivity analysis confer strength to our findings.

One of the limitations in this regard lies in the inability to definitively establish a temporal sequence between home care involvement and planning LOD. In other words, home care involvement may well be a consequence of planning rather than a predictor. However, planning LOD is likely to take place near the time of the child’s death. The fact that parents who planned LOD were more likely to have discussed home care over 30 days before the child’s death increases the likelihood of home care involvement actually preceded planning.

As is the case with observational studies,44 it is possible that important unknown confounders were omitted from our analysis. The SUPPORT Study revealed that decision-making processes are heavily influenced by a myriad of psychological and social forces that are hard to measure and disentangle.45 Hence, although we adjusted for child and family characteristics, there may be other relevant factors that were not taken into account. Moreover, our goal when adjusting by family characteristics was to be able to isolate the effect of variables that clinicians could act upon. In order to understand how family characteristics affect planning in greater depth, a mixed-methods research approach, using both quantitative and qualitative methods, may be more suitable.46

Finally, our parent sample was fairly homogeneous, consisting mainly of white, middle class parents, and therefore the generalizability of our findings may be limited. Feudtner et al.22 have shown racial and ethnic differences regarding LOD in children, with lower home death rates among African Americans and Hispanics. Thus, replication of our findings in a more diverse population and including children with diagnoses other than cancer and whose illness trajectories may differ markedly is warranted. Moreover, there is no reason to believe that our findings only apply to children and families, and thus it would be valuable to similarly evaluate advanced planning of LOD in adult patients.

Conclusions

Planning LOD is facilitated by comprehensive communication and early involvement of homecare, and associated with favorable outcomes such as death in the desired location and minimal parent regret about LOD. Further development and evaluation of palliative care interventions aimed at facilitating advanced care planning, including LOD, may have substantial benefit for dying children and their families.

Acknowledgments

We thank the parents for their willingness to share their stories.

Authors’ work was independent of funders. V. Dussel is the recipient of a fellowship from the Agency for Health Research and Quality (T32HP10018). J. Wolfe was the recipient of Grant No. NCI 5 K07 CA096746 from the National Cancer Institute and a Child Health Research Grant from the Charles H. Hood Foundation. J. Watterson was supported in part by the Pine Tree Apple Tennis Classic Oncology Research Fund. J. Wolfe (guarantor and principal investigator), J.C. Weeks and V. Dussel are responsible for study conception and design; J. Wolfe, J.M. Hilden, J. Watterson, C. Moore, and B.G. Turner conducted data collection; V. Dussel and J. Wolfe were responsible for data analysis and interpretation; V. Dussel, U. Kreicbergs, and J. Wolfe drafted the paper, andall authors revised it.

Footnotes

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