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. 2021 Mar 27;44(6):E520–E530. doi: 10.1097/NCC.0000000000000947

Pediatric Education Discharge Support Strategies for Newly Diagnosed Children With Cancer

Marilyn Hockenberry 1, Maureen Haugen 1, Abigail Slaven 1, Micah Skeens 1, Lindsey Patton 1, Kathleen Montgomery 1, Katherine Trimble 1, Kelly Coyne 1, Donna Hancock 1, Amer Ahmad 1, Emily Daut 1, Leslie Glover 1, Lauren Brown 1, Sherryann St Pierre 1, April Shay 1, Jacqueline Maloney 1, Michelle Burke 1, Daniel Hatch 1, Megan Arthur 1
PMCID: PMC8560150  PMID: 33813530

Abstract

Background

Discharge education practices vary among institutions and lack a standardized approach for newly diagnosed pediatric oncology patients and their parents.

Objective

The purpose of this American Nurses Credentialing Center–supported pediatric multisite trial was to determine the feasibility and effectiveness of 2 nurse-led Parent Education Discharge Support Strategies (PEDSS) for families with a child who is newly diagnosed with cancer.

Interventions/Methods

A cluster randomized clinical trial design assigned 16 Magnet-designated sites to a symptom management PEDSS intervention or parent support and coping PEDSS intervention. Outcome measures evaluated at baseline, 1, and 2 months after diagnosis include symptom experiences, parent perceptions of care, unplanned service utilization, and parent evaluation of the PEDSS interventions.

Results

There were 283 newly diagnosed children and their parent participating in this study. Linear mixed models revealed pain differed over time by the intervention; children in the symptom management group had a greater decrease in pain. Greater nausea and appetite disturbances were experienced by older children in both groups. Fatigue and sleep disturbance showed a significant decrease over time in both groups. The symptom management group reported significantly greater satisfaction with the PEDSS intervention.

Conclusions

This study is among the first to examine the effects of 2 different early-discharge planning strategies for families of a newly diagnosed child with cancer. The evidence supports a standardized discharge education strategy that can be successfully implemented across institutions.

Implications for Practice

Nurses play a major role in the educational preparation and discharge of newly diagnosed pediatric cancer patients and their families.

KEY WORDS: Pediatric oncology, Nursing, Nursing research, Magnet


More than 11 000 children in the United States younger than 15 years will be diagnosed with cancer in 2020.1 Parents of a child newly diagnosed with cancer receive extensive information before their child is discharged; however, little is known about best practices for providing this education and the effectiveness of standardized content. Parents often report difficulty with the complexity of information and are overwhelmed, particularly regarding physical care needed at home for their child.24 Furthermore, there is a lack of standardized educational content and approach to education delivery for newly diagnosed pediatric oncology patients and their parents across institutions.5 This results in considerable variability in the delivery of critical education, including symptom assessment and management content,6 leading to parental concerns regarding their ability to appropriately care for their child at home.3 A nursing qualitative study found that parents reported the fast pace and large quantity of information during the initial hospitalization as stressful; they reported that strategies such as having written information, keeping information concise on key topics, and receiving anticipatory guidance so they knew what to expect would be helpful.6 Parents can be overwhelmed with numerous adverse effects their child experiences at home and lack knowledge on how to appropriately manage treatment-related symptoms while coping with the new diagnosis of cancer.

While a cure for childhood cancer over the last 3 decades has increased to greater than 80%,7 efforts to manage cancer treatment symptoms struggle to keep pace.8,9 Symptom toxicity during pediatric cancer treatment often results in complications, treatment delays, and therapy dose reductions.1012 Compromise in therapy can negatively influence quality of life and, even more notably, jeopardize chances for long-term survival.1012 Children with cancer often experience multiple symptoms from their disease and treatment. Pain, fatigue, sleep changes, nausea, appetite changes, and fever are the most frequently reported physical symptoms (prevalence >30%) during childhood cancer treatment.9,1317 Children with cancer report treatment-related symptoms as the worst part of treatment,15 creating difficulties in completing daily activities and resulting in difficult memories long after treatment has ended.18

To increase the understanding of the impact of early discharge education for parents of a child newly diagnosed with cancer, the nurse-led Parent Education Discharge Support Strategies study was developed and implemented. The PEDSS study is a cluster randomized controlled trial to assess the effectiveness and feasibility of 2 interventions, a symptom management strategy or support and coping strategy, created to educate parents prior to the child’s initial hospital discharge.

Methods

Study sites were recruited by the American Nurses Credentialing Center, which sent out a call for Magnet-designated institutions interested in participating in the PEDSS study. Each of the 16 Magnet-designated institutions that applied was cluster randomized to 1 of the 2 PEDSS intervention groups.

The first intervention arm provided symptom management strategies that included a worksheet describing the most commonly experienced treatment-related physical symptoms, strategies to reduce symptom distress, and when and how to contact the cancer team (Figure 1). The second intervention arm provided support and coping strategies accompanied by a worksheet (Figure 2) with material adapted from the American Cancer Society regarding dealing and coping with a new cancer diagnosis.19 Content validity of the worksheets was established from the literature and confirmed by 4 pediatric oncology nursing experts.12,13 In both PEDSS intervention groups, nurses reviewed and discussed content with participants prior to the first hospital discharge and at study assessment visits.

Figure 1.

Figure 1

Symptom management worksheet.

Figure 2.

Figure 2

Coping and support worksheet.

Each institution participating in the study had a nurse principal investigator (PI) responsible for the study at their facility. Initial PI site training occurred virtually with the overall study PI and study coordinator and guided by standardized content based on the study protocol, including eligibility, consent procedures, intervention delivery, and data collection. Site PIs also completed a one-on-one check-off using a standardized checklist for obtaining consent and delivering the intervention through a simulation led by the study PI or designee. Site PIs, after completing formal training, were responsible for conduct of the study at the clinical site including engaging and training study nurses, enrolling subjects, obtaining consent, and supervising or coordinating data collection. A total of 98 nurses across all study sites participated in the PEDSS study; a range of 1 to 16 nurses with a median of 7 nurses per site were involved. All site nurses received formal training on how to obtain informed consent and deliver the intervention; annual return demonstrations of both the consent and intervention delivery were completed with the site PI. Details describing fidelity of the study implementation methods were recently published.19,20

The interventions were supplementary to preexisting educational practices at each site, which remained unchanged. A previous publication reported the PEDSS intervention was easily integrated into their institution’s existing work processes and nursing education practices.20,21 Sites reported the PEDSS intervention complemented current nursing education discharge practices.19 Site PIs expressed that the intervention provided a concise, parent-friendly document, focused on symptoms or support for the patient and family they otherwise would not receive.19

Study assessments were used to assess symptom severity at the time of assessment and occurred at 3 time points: prior to hospital discharge after initial diagnosis, 1 and 2 months postdischarge. Patient pain, nausea, appetite changes, fatigue, and sleep disturbances were self- or parent-reported through web-based tools. Parents shared information regarding their comfort in providing care after discharge and the feasibility of the intervention and use in the home. Outcome measures also included unplanned service utilization and feasibility and fidelity evaluation of the worksheets.

Inclusion criteria for the study included a parent, legal guardian, or caregiver of a patient aged 3 to 17 years who was newly diagnosed with any type of malignant disease on an inpatient oncology unit. The parent and child needed to speak English, Spanish, or Arabic because of the worksheets and questionnaires being available only in those languages. Children with cognitive disabilities were not eligible to participate. All study procedures were approved by the institutional review board of the primary site or site-specific institutional review boards prior to enrollment.

Measures

Data were collected through a web-based data collection tool administered through a computer or iPad and downloaded through a secure server. Children newly diagnosed with cancer frequently need to return to the clinic and/or the hospital for further care during their treatment protocol, making subsequent data collection time points feasible. Study personnel at each institution obtained demographic information on each participant from the medical record after consent was obtained, and information was entered into the web-based system. Additional information was obtained from the child, adolescent, or parent (if the child was <7 years old). An overview of evaluation measures is listed in Table 1. Outcome measures evaluated at baseline prior to discharge and 1 and 2 months after diagnosis included symptom experiences at the time of assessment (pain, fatigue, sleep, nausea, appetite), parent perceptions of care, and feasibility and fidelity evaluation of the worksheets.

Table 1.

PEDSS Evaluation Measures

Outcome Instrument/Measurement Time to Complete Data Collection Time Point
Symptoms Pain: Wong-Baker Faces Scale
Nausea: VAS
Appetite: SNAQ
Fatigue: AFS, CFS, or PFS
Sleep: ASWS or CSWS
<1 min
< 1 min
< 2 min
< 5 min
< 5 min
Discharge,a 1 and 2 mo post–initial hospital discharge
Parent perceptions Parent Perception Tool < 5 min Discharge,a 1 and 2 mo post–initial hospital discharge
Unplanned service utilization Medical record N/A 1 and 2 mo post–initial hospital discharge
Worksheet feasibility Parent Use and Satisfaction <5 min 2 mo post–initial hospital discharge

Abbreviations: AFS, Adolescent Fatigue Scale; ASWS, Adolescent Sleep Wake Scale; CFS, Childhood Fatigue Scale; CSWS, Children's Sleep Wake Scale; PEDSS, Parent Education Discharge Support Strategies; PFS, Parent Fatigue Scale; SNAQ, Simplified Nutritional Appetite Questionnaire; VAS, visual analog scale.

aDischarge = discharge of initial hospitalization after cancer diagnosis.

SYMPTOM ASSESSMENT

All symptoms were measured for severity at the time of assessment at each time point: at the initial hospital discharge (time 1) and at 1 and 2 months (times 2 and 3) during clinic or hospital visits following the initial hospital discharge. Subjects 7 years or older were asked to rate their symptoms, and parent proxy was used for children younger than 7 years.

Pain was measured using the Wong-Baker Faces Scale. This tool is an extremely reliable and valid tool used for more than 30 years to evaluate pain in children as young as 4 years of age.22

Nausea was measured using a visual analog scale (VAS) in the form of a thermometer that rates the severity of nausea from 0 to 100. The VAS includes a statement at each end representing one extreme of the dimension being measured (eg, no nausea). The VAS is widely used and is noted for ease of administration.23,24 To maintain consistency with all symptom measures, a parent proxy was used for children younger than 7 years.

Appetite changes were measured with the Simplified Nutritional Appetite Questionnaire. The Simplified Nutritional Appetite Questionnaire is a 4-item scale asking subjects to select 1 of 5 answers representing the child’s appetite. Answers are tallied on a numerical scale (a = 1, b = 2, c = 3, d = 4, e = 5). Results range from 4 to 20, with higher scores indicating better appetite and a score of 14 or lower indicating severe appetite changes.21 Subjects 7 years or older were asked to answer the appetite questions, and parent proxy was used for children younger than 7 years of age. The tool has established reliability and validity.25

Fatigue was measured with the Adolescent Fatigue Scale (AFS) for adolescents 13 to 18 years of age, the Childhood Fatigue Scale (CFS) for children 7 to 12 years of age, or the Parent Fatigue Scale (PFS) to obtain proxy responses from parents of children younger than 7 years. The AFS is a 13-item self-reported scale measuring fatigue and intensity on a 4-point Likert scale. Ratings range from 0 to 52; recent work using Rasch methods identified a cutoff score of 31 for severe fatigue.24 The AFS subscales (function, energy, and mood) were used to further define the symptom. The CFS is a 10-item questionnaire assessing the experience of fatigue-related symptoms. The participants are asked to rate how much they are bothered by fatigue on a 4-point Likert scale ranging from “not at all” to “a lot.” Scores range from 0 to 40; recent work using Rasch methods identified a cutoff score of 12 for severe fatigue.26 The PFS is a 17-item scale assessing parent perception of fatigue experienced by their child. Scores range from 0 to 68, with a cutoff PFS score defining severe fatigue as 41 or greater. Three subscales of the AFS, CFS, and PFS (function, energy, and mood) were used to further define the symptom. Each scale has established validity and reliability.2730

Sleep disturbances were measured using subscales of the Sleep-Wake Scale (SWS)–self-report for subjects 7 years or older and SWS–parent report for subjects younger than 7 years. Both instruments include 5 subscales including going to bed, falling asleep, maintaining sleep, going back to sleep, and returning to wakefulness. The SWS–self-report includes 28 items (5–6 items per subscale) and uses a 6-point Likert scale. The SWS–parent report includes 26 items (5–6 items per subscale) rated on a 6-point Likert scale.29,30 Ratings are calculated as a mean score for each subscale, ranging from 1 to 6, with higher scores indicating better sleep quality. Both scales have established reliability and validity.3133

UTILIZATION OF HEALTHCARE SERVICES

At 1 and 2 months following diagnosis, the nurse or research assistant entered the number of unscheduled clinic visits, emergency room visits, and unplanned hospitalizations in the web-based data collection tool based on information in the medical record.

FEASIBILITY

Key indicators of successful program implementation included education on the PEDSS worksheets at discharge, use of the worksheets, and satisfaction with the worksheets. Parental use and satisfaction with worksheets were evaluated by self-report from parents at 2 months post–hospital discharge. Self-report feasibility questions asked parents to rate 6 statements regarding ease of use, readability, quickness of use, enjoyment, helpfulness, and program recommendation on a 5-point Likert scale. Higher scores indicate more satisfaction with the intervention. Questions were based on an acceptability tool developed for other symptom management interventions.34,35

Statistical Analyses

Bivariate analyses were conducted to compare the intervention group’s demographics and patient characteristics (age, gender, ethnicity/race, and patient diagnosis). To examine the effect of the interventions on childhood cancer symptoms during the first 2 months following the initial hospital discharge, linear mixed models (LMMs) were used. Because participants were randomized at the site (ie, institution) level rather than at the individual level, these models consisted of 3 levels: level 1—repeated measures; level 2—individuals; and level 3—sites. To address selection bias at the individual level that may have occurred because of site-level randomization, inverse probability of treatment weighting was implemented in LMM models.36 Inverse probability of treatment weighting is a propensity score method designed to reduce such selection bias.3739 In LMM models, a time × intervention group interaction was used to examine whether the rate of change in the outcome over time depended on intervention group.

To examine change in parent perceptions of preparedness for care, dependent-samples t tests were used to test for change between time 1 and time 3. If this revealed significant change, linear regression models were used to regress change scores on intervention group and demographic and patient characteristics. To examine the effect of the interventions on unplanned utilization of healthcare services and preventable toxicity, we used χ2 tests. In these, we tested the relationship between the intervention group and unscheduled clinic visits, emergency room visits, and unplanned hospitalizations at time 3. Differences in intervention evaluation (timing of intervention, frequency of intervention worksheet use, and where the intervention worksheet was placed) and intervention satisfaction by intervention group were tested using bivariate tests.

Results

The 16 Magnet-designated institutions were part of the Children’s Oncology Group and were randomized based on the number of new pediatric cancer patients per year; large institutions had 35 new patients or more each year, and small institutions had fewer than 35 new patients each year. Four institutions were in each category split equally by small or large institution size and symptom or support group intervention. The 16 participating institutions were found throughout the northeast, southeast, and Midwest regions of the United States; 1 institution was in Saudi Arabia. There were 283 newly diagnosed children and their caregivers participating in this study; 120 enrolled in the support and coping groups and 155 in the symptom management group. Most children with cancer were school-age young adolescents (mean, 9.36 [SD, 4.47 years]; Table 2) and were fairly evenly distributed between males and females (44.88% female). Age and gender did not differ by intervention group (t = 1.23, P = .22; χ2 = 1.71, P = 19). Non-Hispanic White, Hispanic, and non-Hispanic Black persons constituted the majority of participants (56.54%, 19.08%, and 7.42%), although this makeup differed by intervention group (χ2 = 12.59, P = .01), in that non-Hispanic White and Hispanic persons were more common in the support and coping groups (60.16% and 21.09%), and non-Hispanic Black persons were more common in the symptom management group (11.61%). Leukemia was the most common diagnosis (57.60%), along with lymphoma (18.02%) and solid tumor (20.14%), although this composition differed by group (χ2 = 8.24, P = .04), in that leukemia was more common in the support and coping groups (66.41%). Using the pain assessment at time 1, 95% of children completed self-reports in English, 0.05% in Spanish, and 4.5% in Arabic. Using the parent perception survey, 94% of parents completed questionnaires in English, 4% in Spanish, and 2% in Arabic.

Table 2.

Demographics by Intervention Group

All Participants (n = 283) Support Worksheet (n = 128) Symptom Worksheet (n = 155) Test Statistic P
Age (mean) 9.36 (4.47) 9.72 (4.32) 9.06 (4.58) t = 1.23 .22
Age category χ2 = 2.18 .14
 <7 y 97 (34.3%) 38 (29.69%) 59 (38.06%)
 >7 y 186 (65.7%) 90 (70.31%) 96 (61.94%)
Gender: female 127 (44.88%) 52 (40.63%) 75 (48.39%) χ2 = 1.71 .19
Ethnicity/race χ2 = 12.59 .01
 Non-Hispanic White 160 (56.54%) 77 (60.16%) 83 (53.55%)
 Non-Hispanic Black 21 (7.42%) 3 (2.34%) 18 (11.61%)
 Hispanic 54 (19.08%) 27 (21.09%) 27 (17.42%)
 Non-Hispanic, other 36 (12.72%) 13 (10.16%) 23 (14.84%)
 Ethnicity unknown 12 (4.24%) 8 (6.25%) 4 (2.58%)
Patient diagnosis χ2 = 8.24 .04
 Leukemia 163 (57.60%) 85 (66.41%) 78 (50.32%)
 Lymphoma 51 (18.02%) 20 (15.63%) 31 (20.00%)
 Solid tumor 57 (20.14%) 20 (15.63%) 37 (23.87%)
 CNS disease 12 (4.24%) 3 (2.34%) 9 (5.81%)

Abbreviation: CNS, central nervous system.

There were 23 refusals (8%) to participate and 6 (0.16%) who were withdrawn from the study; 4 participants were discharged early before completing the baseline assessment and intervention, and 2 others consented then decided not to participate.

Linear mixed-models regressing symptoms over time × intervention group and patient characteristic covariates are present in Table 3. In predicting pain, the main effects for intervention and time were significant (b = 0.31, t = 1.98, P = .048; b = −0.40, t = −9.32, P < .001), indicating that pain symptoms were slightly higher at baseline in the symptom management group, and across groups, pain symptoms tended to decline over time. The interaction between intervention and time was also significant (b = −0.18, t = −2.98, P = .003), indicating that pain decreased over time more in the symptom management group. Patient characteristics were not significantly related to this outcome (age: b = 0.01, t = 0.92, P = .36; gender: b = 0.15, t = 1.38, P = .17; ethnicity/race: F = 1.59, P = .17; diagnosis: F = 1.22, P = .30).

Table 3.

Symptoms Regressed on Intervention by Time

Pain Nausea Appetite
Disturbance
Fatigue Sleep
Disturbance
Time −0.40 b −1.74 −0.05 −3.24a −1.71a
Intervention 0.31b 3.23 0.59 −0.45 −0.15
Time × intervention −0.18 b 1.74 −0.03 0.71 1.01
Age 0.01 0.52b −0.07b −0.09 −0.08
Gender: female 0.15 −3.78 −0.08 −0.52 −2.21
Ethnicity/race
 Hispanic −0.35b 1.00 0.42 −3.51 b −3.36b
 Non-Hispanic Black −0.24 −4.32 0.49 −3.22 2.90
 Non-Hispanic, other −0.12 1.39 0.19 −0.04 −2.78
 Ethnicity unknown −0.29 −1.67 0.34 −1.32 1.41
Patient diagnosis
 CNS disease −0.27 2.07 0.28 −0.11 −5.03
 Leukemia −0.07 −3.74 −1.36 b −0.30 −1.56
 Lymphoma −0.31 −3.25 −1.39 −1.29 −0.23

Abbreviation: CNS, central nervous system.

Unstandardized coefficients shown. Reference category for ethnicity/race: non-Hispanic White. Reference category for patient diagnosis: solid tumor.

aP < .01.

bP < .05.

For models of nausea, the main effects for time and intervention were not significant (b = −1.74, t = −1.44, P = .15; b = 3.23, t = 1.32, P = .19), and the interaction between these was not significant (b = 1.74, t = 1.08, P = .28). For this outcome, greater nausea was experienced by older-age children (b = 0.52, t = 2.04, P = .04); other patient characteristics were not significant (gender: b = −3.78, t = −1.57, P = .12; ethnicity/race: F = 0.37, P = .83; diagnosis: F = 0.62, P = .54).

In predicting appetite disturbance, the main effects for time and intervention and the interaction between these were not significant (b = −0.05, t = −0.32, P = .75; b = 0.59, t = 1.11, P = .27; b = −0.03, t = −0.14, P = .89). Older-age children experienced more appetite disturbance (b = −0.07, t = −2.12, P = .03). Diagnosis was associated with appetite disturbance (F = 6.10, P < .001), in that participants with leukemia reported less appetite disturbance than those with solid tumors (b = −1.36, t = −3.65, P < .001). Other patient characteristics did not significantly predict this outcome (gender: b = −0.08, t = −0.30, P = .77; ethnicity/race: F = 0.41, P = .80).

For fatigue, the main effect of time was significant (b = −3.24, t = −6.62, P < .001), indicating that fatigue symptoms decreased over time. The main effect for intervention and the interaction between time and intervention were not significant (b = −0.45, t = −0.47, P = .64; b = 0.71, t = 1.06, P = .29). Ethnicity/race was significant (F = 3.30, P < .01), in that Hispanic participants reported less fatigue than non-Hispanic White individuals (b = −3.51, t = −3.20, P = .001). Other participant characteristics were not significant (age: b = −0.09, t = −0.92, P = .36; gender: b = −0.52, t = −0.62, P = .54; diagnosis: F = 0.34, P = .80).

For sleep disturbance, the main effect of time was significant (b = −1.71, t = −4.02, P < .001), indicating that sleep disturbance decreased over time. The main effect for intervention and the interaction between time and intervention were not significant (b = −0.15, t = −0.13, P = .90; b = 1.01, t = 1.75, P = .08). Gender was significant, in that females reported less sleep disturbance than males (b = −2.21, t = −2.17, P = .03). Ethnicity/race was significant (F = 3.11, P = .01), in that Hispanic participants reported less sleep disturbance than non-Hispanic White persons (b = −3.36, t = −2.48, P = .01). Other participant characteristics were not significant (age: b = −0.08, t = −0.69, P = .49; diagnosis: F = 1.41, P = .24).

Paired t tests examining change in parent perceptions of preparedness to care revealed a significant increase in parent preparedness from discharge (time 1) to 2 months later (time 3) (mean, 31.24 [SD, 4.25] and 31.97 [SD, 4.38]; t = 2.15, P = .03). Linear regression models of time 1 to time 3 change scores regressed in the intervention group and demographic and patient characteristics revealed no differences in parent preparedness (b = 0.97, t = 1.39, P = .17). In this model, patient diagnosis was significant (F = 4.47, P = .004) in that parents whose children had lymphoma and central nervous system tumor had a greater increase in perceived preparedness relative to parents whose children had solid tumors (b = 3.62, t = 3.28, P = .001; b = 4.19, t = 2.31, P = .02). Parents whose children had lymphoma had a greater increase in perceived preparedness relative to parents whose children had leukemia (b = 2.15, t = 2.28, P = .02). Other participant characteristics were not significant (age: b = 0.12, t = 1.56, P = .12; gender: b = 0.74, t = 1.10, P = .27; race/ethnicity: F = 1.24, P = .30).

Results of χ2 tests examining differences in the number of unplanned utilization of healthcare services at time 3 by intervention group are presented in Table 4. These revealed the symptom management group was more likely to have unscheduled clinic visits (χ2 = 5.26, P = .02). In contrast, neither intervention group had increased emergency room visits or unplanned hospitalizations (χ2 = 1.33, P = .25; χ2 = 0.48, P = .49; P = .34).

Table 4.

Unplanned Utilization of Healthcare Services by Intervention Groupa

All Participants (n = 260) Support Worksheet (n = 113) Symptom Worksheet (n = 147) χ 2 P
Unscheduled clinic visit 5.26 .02
 Yes 35 (13.62%) 9 (8.04%) 26 (17.93%)
 No 222 (86.38%) 103 (91.96%) 119 (82.07%)
Emergency department visit 1.33 .25
 Yes 67 (25.87%) 33 (29.46%) 34 (23.13%)
 No 192 (74.13%) 79 (70.54%) 113 (76.87%)
Unplanned hospitalization 0.48 .49
 Yes 79 (30.50%) 37 (32.74%) 42 (28.77%)
 No 180 (69.50%) 76 (67.26%) 104 (71.23%)
Septic event .34
 Yes 10 (3.86%) 6 (5.31%) 4 (2.74%)
 No 249 (96.14%) 107 (94.69%) 7.26%)

Fisher exact test conducted for septic events.

aNumber of unplanned visits.

Analyses examining group differences in the evaluation of the interventions and satisfaction with the worksheets are presented in Table 5. Participants in the symptom management group were more likely to place the worksheet in visible sight or a binder (χ2 = 21.17, P < .001). The evaluation of the timing of the intervention and frequency of intervention use did not differ between groups (P = .26; χ2 = 5.43, P = .37). All measures of satisfaction revealed greater satisfaction with the intervention among those in the symptom management group (ease of use: t = 4.69, P < .001; easy to read: t = 4.77, P < .001; quick to use: t = 4.65, P < .001; likeable: t = 4.58, P < .001; helpful: t = 4.83, P < .001; would recommend: t = 4.77, P < .001).

Table 5.

Intervention Evaluation by Intervention Group

Support Worksheet
n = 116
Symptom Worksheet
n = 149
P
Timing of intervention .26a
 Too early 2 (1.72%) 6 (4.14%)
 About right 114 (98.28%) 137 (94.48%)
 Too late 0 (0.00%) 2 (1.38%)
Frequency of use .37a
 Every day 5 (4.35%) 8 (5.44%)
 2–6 times every week 8 (6.96%) 21 (14.29%)
 Once every week 27 (23.48%) 38 (25.85%)
 Once every other week 20 (17.39%) 20 (13.61%)
 Once a month 27 (23.48%) 34 (23.13%)
 Never 28 (24.35%) 26 (17.69%)
Where worksheet placed <.001a
 In visible sight 20 (17.54%) 64 (43.84%)
 In binder 82 (71.93%) 74 (50.68%)
 Lost or do not know 8 (7.02%) 4 (2.74%)
 Other 4 (3.51%) 4 (2.74%)
Easy to use 2.90 (0.90) 3.42 (0.86) <.001b
Easy to read 3.07 (0.76) 3.52 (0.75) <.001b
Quick to use 3.03 (0.78) 3.48 (0.76) <.001b
Likable 2.95 (0.82) 3.42 (0.82) <.001b
Helpful 3.02 (0.84) 3.51 (0.80) <.001b
Would recommend 3.06 (0.80) 3.53 (0.78) <.001b

aP value for χ2 or Fisher exact test.

bP value for independent-samples t test.

Discussion

This study examined the effects of 2 different early-discharge planning strategies for families of a newly diagnosed child with cancer. The importance of this study is supported by the lack of guidelines to inform the essential informational content delivered to caregivers of newly diagnosed pediatric oncology patients.2 The PEDSS study was designed to address the gap by examining 2 interventions: (1) how to support and cope with a new cancer diagnosis or (2) how to manage common cancer treatment symptoms. Symptoms were measured for severity at the time of assessment at each time point: at the initial hospital discharge (time 1) and at 1 and 2 months (times 2 and 3) during clinic or hospital visits following the initial hospital discharge.

Linear mixed models revealed pain as the only symptom that differed over time by the intervention. Pain was slightly higher at baseline in the symptom management group, and across both groups, pain symptoms tended to decline over time. However, pain decreased over time more in the symptom management group. The symptom management group received specific information on pain—what to look for and how to address pain concerns. Information in the symptom management group specifically focused on symptoms and provided basic information to parents on how to manage pain at home.

Models examining other symptoms demonstrated no differences between the 2 interventions but did reveal important relationships over time. Greater nausea and appetite disturbance were experienced over time by children older than 7 years. This finding is consistent with evidence on the prevalence of nausea and vomiting in children with cancer.13,40,41 Children with leukemia reported less appetite disturbance than those with a solid tumor. This finding is supported by the type of therapy used to treat leukemia versus a solid tumor. Steroids are commonly used for leukemia treatment and cause increased appetite. Children undergoing treatment for solid tumors receive chemotherapy that is highly emetogenic over frequent cycles and may not have time for appetite recovery before starting another treatment cycle.

Fatigue and sleep disturbance showed significant changes, demonstrating decreased prevalence over time in both groups. Hispanic participants reported less fatigue and less sleep disturbance compared with other ethnic/race groups. Females reported less sleep disturbance than males.

Other studies demonstrate that over the continuum of treatment, fatigue decreases in children.42,43 Fatigue is associated with sleep disturbances, but it is difficult to determine which symptom is the result of the other or whether they occur simultaneously.4448 Previous studies conflict in relation to the effect of race/ethnicity on symptom severity; some found no differences in Hispanic children compared with non-Hispanic groups.9,13 Further research is needed to explore the impact of ethnicity on cancer treatment symptoms over time.

Parents in both PEDSS intervention groups felt more confident in their preparedness to care for the child with cancer over time. An interesting finding revealed that parents of children with a diagnosis of lymphoma or central nervous system tumor felt more prepared after 2 months than parents who had a child with a solid tumor. This is unlikely because of the numbers of hospitalization days at initial diagnosis, given that the amount of time between diagnosis and the first phase of treatment did not differ by diagnosis (F = 1.89, P = .13). Unscheduled clinic visits were more likely to occur in the symptom management group with no increase in emergency room visits or unplanned hospitalizations in either group. One potential explanation is that parents in the symptom management group were more aware of when to bring their child experiencing symptoms to the clinic, but more research is needed to support a causative relationship.

Parents in the symptom management group were more likely to place the worksheet in a visible site or in their binder. The symptom management group also reported significantly greater satisfaction in the worksheet’s ease of use, readability, quickness to use, likeability, and helpfulness, and they would recommend it to others. The symptom management worksheet revealed more tangible information with specific actions parents can use to manage a particular physical symptom. The symptom management worksheet was more concrete than the coping and support worksheet, and this could be the reason for the parents being more satisfied with this education approach. The worksheet supplements and concisely summarizes what is being taught by the healthcare providers before discharge. This finding stresses the importance of concise information on symptom management and that it can be effectively communicated through a worksheet. Findings in this study are supported by Rodgers and colleagues,6 who found that parents of a newly diagnosed child with cancer are often overwhelmed with the amount of education provided.

This study provides evidence that a standardized discharge strategy can be successfully implemented across multiple children’s hospitals and with participants who are non–English speaking. Although further studies to examine the effectiveness of a standardized education discharge strategy with a more diverse sample are needed, this study demonstrates early evidence supporting the potential scalability and sustainability of early discharge interventions in the pediatric oncology population. Effective and standardized interventions to support parents of children newly diagnosed with cancer are necessary to promote high-quality and equitable care.49,50

A limitation of the study includes evaluation of the intervention with a targeted patient population. The study lasted only 2 months and provides a very short snapshot of the trajectory of cancer symptoms over time. Although symptom severity at the time of each of the assessments was identified, the study may not have fully captured symptoms occurring between visits, particularly those with persistent low to moderate levels of severity that may not have warranted accessing the healthcare system. Because only Magnet hospitals were used in the study, the results cannot be generalized to all hospitals.

Another limitation of the study includes the delivery of the PEDSS intervention worksheet only in paper format. As the availability and capabilities of electronic devices increase, electronic formats should be considered for delivery of symptom management. Future studies should evaluate the use of a tool delivered electronically, such as a phone application, to assist parents in managing their child’s symptoms. Further work continues to be needed in diverse childhood cancer populations and languages.

There are numerous strengths to this study. The inclusion of Magnet-designated institutions as study sites, which supported the implementation of nurse-led interventions, led to success in a strong enrollment, with few participants who refused (8%) or withdrew (0.16%). The cluster randomized clinical trial design represents a major strength. The feasibility and scalability of this intervention at multiple institutions, given the first hospitalization is typically short and intense, were a success as a supplement to existing education for families of a child newly diagnosed with cancer. The study was geographically diverse with pediatric cancer centers representing large, medium, and small cancer programs from across the United States and supports the feasibility of expanding and sustaining the intervention on a broader scale. Pediatric oncology patients and their parents have historically been willing to participate in research that benefits future patients and are able to provide meaningful feedback, which makes them an ideal population to evaluate interventions.

Conclusion

When a child is diagnosed with cancer, the initial hospitalization provides an opportunity for nurses to prepare the family for caring for their child at home.47,48 Parents in both PEDSS intervention groups felt more confident in their preparedness to care for the child with cancer over time. This finding was true for parents completing the study in English, Spanish, and Arabic. Findings in this study support education discharge strategies focusing on concrete knowledge related to symptom management may be most helpful for parents. In this study, nurses from 16 institutions who were involved in both intervention groups played a significant role in educating and supporting parents of children newly diagnosed with cancer.

Footnotes

Funding was provided by the American Nurses Credentialing Center.

This article is dedicated to Dr Cheryl Rodgers.

The authors have no conflicts of interest to disclose.

Contributor Information

Maureen Haugen, Email: mhaugen@luriechildrens.org.

Abigail Slaven, Email: Aslaven@northwell.edu.

Micah Skeens, Email: micah.skeens@nationwidechildrens.org.

Lindsey Patton, Email: Lindsey.Patton@childrens.com.

Kathleen Montgomery, Email: kmontgomery3@wisc.edu.

Katherine Trimble, Email: Kathy.Trimble@nm.org.

Kelly Coyne, Email: kcoyne@luriechildrens.org.

Donna Hancock, Email: Donna.Hancock@STJUDE.ORG.

Amer Ahmad, Email: AAhmad@kfshrc.edu.sa.

Emily Daut, Email: Emily.Daut@bjc.org.

Leslie Glover, Email: leslieglover@wustl.edu.

Lauren Brown, Email: Lauren.Brown@atriumhealth.org.

Sherryann St Pierre, Email: STPIES@mmc.org.

April Shay, Email: ashay@hsc.wvu.edu.

Jacqueline Maloney, Email: jacquelines@saintpetersuh.com.

Michelle Burke, Email: Michelle.Burke@Nicklaushealth.org.

Daniel Hatch, Email: daniel.hatch@duke.edu.

Megan Arthur, Email: megan.arthur@duke.edu.

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