Skip to main content

Non-pharmacological sleep interventions for pediatric cancer patients and survivors: a systematic review protocol

Abstract

Background

Sleep disturbances constitute a common complication in pediatric cancer patients and survivors and are frequently severe enough to warrant treatment. Suboptimal sleep has been associated with decreased emotional well-being and cognitive functioning and increased behavioral problems. Standardized guidelines for non-pharmacological sleep interventions for adults with cancer exist, but no standard of care intervention or standard guidelines are available to guide such intervention in pediatric cancer patients and survivors. Therefore, effective behavioral interventions for improving sleep quality need to be identified. The objective of the review is to evaluate the effect of non-pharmacological sleep interventions on sleep quality in pediatric cancer patients and survivors.

Methods

The review will consider studies that include children and adolescents between 0 and 18 years diagnosed with cancer or who have a history of cancer who have non-respiratory sleep disturbance. We will include experimental and quasi-experimental studies evaluating non-pharmacological interventions such as psychological interventions, technical/device interventions, interventions targeting physical activity, and complementary and alternative medicine interventions (e.g., yoga, massage, music). Interventions involving medications, ingestible supplements, products purported to work through absorption, and medical devices will be excluded. Primary outcome will be sleep quality as measured by methods including retrospective ratings, daily sleep diary, and validated questionnaires. Secondary outcomes will include total sleep time, sleep onset latency, wake after sleep onset, daytime sleepiness, and daytime sleep duration (naps) as measured by retrospective ratings, daily sleep diary, validated questionnaires, and/or actigraphy. Databases will include MEDLINE (Ovid), EMBASE (Ovid), Cochrane Library, CINAHL (Ebsco), and PsycINFO (Ovid) and will be queried from database inception to present. Two reviewers will independently screen all citations, full-text articles, and extract data. The study methodological quality will be assessed using Joanna Briggs Institute (JBI) critical appraisal tools. Data will be extracted and findings pooled and synthesized using a meta-aggregation approach via the JBI System for the Unified Management, Assessment, and Review of Information (SUMARI). If feasible, we will conduct random effects meta-analysis. Additional analyses will be conducted to explore the potential sources of heterogeneity (e.g., methodological quality, study design, outcome measures).

Discussion

This systematic review will synthesize and consolidate evidence on existing non-pharmacological interventions to improve sleep in pediatric cancer patients and survivors. Findings may help inform practitioners working with pediatric cancer patients and survivors experiencing sleep disturbances and is intended to identify gaps and opportunities to improve methodical quality of further non-pharmacological sleep intervention research in this population toward developing an eventual standard of care.

Systematic review registration

PROSPERO CRD42020200397.

Peer Review reports

Background

Improved treatment methods for pediatric cancer have resulted in five-year survival rates of 80% and higher across childhood cancer types [1], and as a result, the importance of maximizing quality of life in this population has been increasingly recognized [2]. Specifically, quality of life can be negatively affected by a range of late effects of cancer, which may be physical, cognitive, emotional, or behavioral in nature [2]. In both pediatric cancer patients and survivors, sleep disturbances are a common complication [3], affecting quality of life [4], and are frequently severe enough to warrant treatment [5]. Sleep disturbances have been considered to negatively impact resilience in children [6] and can complicate coping with the various late effects of cancer in children and adolescents. As such, identifying and addressing sleep problems through sleep interventions may have an important role in maximizing quality of life in this population [7].

Sleep problems meeting criteria for sleep disorders occur at a significant rate in the pediatric cancer population. Specifically, sleep disordered breathing, also known as sleep apnea, occurs in a significant number of pediatric brain tumor survivors [8], while in children diagnosed with leukemia, insomnia has been frequently reported [9].

Sleep apnea, a respiratory sleep disorder, is not the focus of this review. Instead, the focus is on non-respiratory sleep problems manageable without medical device or medication and within the purview of allied health providers (e.g., nursing, psychology). Indeed, beyond diagnosable sleep disorders, a range of sleep disturbances have been observed in the pediatric cancer population, which frequently start after the initiation of treatment [9], and are more pronounced than in healthy children [10]. Sleep disruptions have been observed in hospitalized pediatric cancer patients [11], as well as in children and adolescent cancer patients living at home [12]. Furthermore, Russo and colleagues [3] found that in pediatric cancer survivors more than 5 years post-diagnosis, 44.6% of parents indicated their child to have a sleep disturbance. In line with this finding, other studies suggest sleep disturbances can become chronic in pediatric cancer, persisting years after the diagnosis into adulthood [5]. Excessive daytime sleepiness has been suggested to be the most commonly reported consequence of sleep disturbance in pediatric cancer [7, 9]. Excessive daytime sleepiness may result from insufficient sleep, fragmented sleep, or an enhanced sleep drive [13]. Reduced sleep times, increased wakefulness during the night, and lowered sleep efficiency have indeed been reported across pediatric cancer types [10].

Several models have been proposed to explain the onset and persistence of sleep problems in pediatric cancer patients and survivors, including the Sleep Disturbances in Pediatric Cancer Model (SDPCM) [14] and a behavioral model explaining sleep disruptions in pediatric cancer survivors [15]. The SDPCM proposes that cancer-related factors including the diagnosis and the treatment (e.g., medication, radiation, chemotherapy, or surgery) impact psychosocial, environmental, and biological factors, which, in turn, disrupt sleep [14]. Psychosocial consequences may involve family stress, reduced activity, parent limit setting, depression, and anxiety, while environmental factors may include hospitalization, noise, an irregular day schedule, and nighttime caretaking. Biological consequences contributing to sleep disruption may include factors such as pain, fatigue, nausea, increased urinary frequency, or endocrinological alterations [14]. Once sleep disturbances emerge, the disturbed patterns are proposed to persist due to perpetuating factors, including physiological changes due to cancer or the continuation of altered sleep habits (e.g., napping, increased time in bed, irregular sleep schedules). Furthermore, sleep problems may be further exacerbated by hyperarousal or increased stress or frustration around sleep [15].

According to the American Academy of Sleep Medicine, healthy sleep patterns have a vital role in maximizing health in the pediatric population and involve appropriate duration, timing, quality, and regularity of sleep [16]. For instance, sleep has been associated with several health-related outcomes, including general, cardiovascular, metabolic, mental, and developmental health. Additionally, sleep has been related to immunologic function and several performance measures [16]. In the general pediatric population, suboptimal sleep has been associated with decreased emotional well-being, including increased levels of distress [17], anxiety, depression, irritability, moodiness, and emotional lability. Behavioral problems have been reported as well, including overactivity, noncompliance, oppositional behavior, reduced impulse control, and risk-taking behavior [7]. Finally, cognitive functioning can be impacted by sleep disturbances as well, including executive functions, school performance [18], attention [7, 19], and processing speed [20].

The common occurrence and persistence of sleep problems in the pediatric oncology population and their potential impact on health and quality of life highlight the relevance of identifying behavioral sleep interventions aimed at ameliorating sleep disturbances. For instance, introducing families to behavioral strategies prior to starting with sleep medication may enhance long-term outcomes by stimulating healthy sleep habits in an earlier stage [14]. Additionally, research suggests that parents are more receptive to behavioral interventions compared to pharmacological treatment [14], and pharmacotherapy may not be the treatment of choice given the long trajectory of cancer treatment and the possible development of tolerance to the medications [21].

In the adult cancer population, cognitive behavioral interventions [22], exercise [23], and complementary and alternative methods [24] have been shown useful for improving sleep. Indeed, a practice guideline was published to address sleep disturbances in adults diagnosed with cancer in Canada [25], yet no comparable guideline or standard of care intervention is available for pediatric oncology [7]. Similarly, while psychological interventions [26], exercise [27], and complementary and alternative paradigms [28] have all undergone systematic review in pediatric oncology, sleep has not been a target of these interventions or reviews of their efficacy and, to the best of our knowledge, no current or underway systematic reviews exist on this topic.

The objective of the review will be to evaluate the effect of nonpharmacological sleep interventions on sleep quality in pediatric cancer patients and survivors.

Methods

The proposed systematic review will be conducted in accordance with the Joanna Briggs Institute methodology for systematic reviews of effectiveness evidence studies [29] and the present review protocol adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement [30] (see checklist in Additional file 1). The protocol is registered with PROSPERO, the international prospective register for systematic reviews, ID CRD42020200397. Any amendments to this protocol will be documented and published alongside the results of the systematic review.

Eligibility criteria

Studies will be selected according to the following criteria: participants, interventions, comparators, outcomes, and types of studies.

Participants

The review will consider studies that include children and adolescents diagnosed with cancer or who have a history of cancer. Children and adolescents will be between birth and 18 years at the time of sleep intervention. Children and adolescents may be at any stage of treatment or survivorship, and intervention may be offered in any setting (e.g., home, hospital, rehabilitation center, clinic, academic medical center). The target of intervention will be improving sleep in children and adolescents with cancer or a history of cancer, and targets for intervention may include patients, caregivers, family, and healthcare providers as long as the focus of intervention and outcomes include improving sleep in the pediatric cancer patients and survivors.

Interventions

We are defining non-pharmacological interventions as methods including technical procedures, devices, rehabilitation paradigms, psychological and behavioral interventions, and complementary and alternative medicine interventions. Details will be gathered including mode of delivery, agent of delivery, timing, and frequency/duration of delivery. Interventions of interest include, but are not limited to, those summarized in Table 1.

Table 1 Examples of nonpharmacological interventions for sleep

Pharmacological interventions targeting sleep that involve medications, ingestible supplements, products purported to work through absorption, or invasive medical devices (e.g., CPAP) will be excluded from this review.

Comparators

This review will consider studies that compare the intervention to no intervention (usual care), sham or placebo intervention, and/or alternative intervention. The review will consider studies that include a comparison/control group, passive control group receiving no intervention, and within-group comparison to baseline with no control or comparator group.

Outcomes

This review will consider studies that include the primary outcome of self-reported and/or caregiver/observer (proxy) reported outcomes of sleep quality. Primary outcome will be measured by methods including retrospective ratings, daily sleep diary, and validated questionnaires (e.g., Sleep Disturbance Scale for Children [31], Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep questionnaires [32, 33], and Insomnia Severity Index [34]. Secondary outcomes will include total sleep time, sleep onset latency, wake after sleep onset, daytime sleepiness, and daytime sleep duration (naps) as measured by retrospective ratings, daily sleep diary, validated questionnaires (e.g., Epworth Sleepiness Scale) [35], and/or actigraphy or polysomnography.

Types of studies

This review will consider both experimental and quasi-experimental study designs including randomized controlled trials, non-randomized controlled trials, before and after studies, and interrupted time-series studies. In addition, this review will also consider descriptive observational study designs including case series and individual case reports for inclusion. Only studies published in English will be included. No limitations will be imposed on publication date.

Information sources and search strategy

The primary source of literature will be a structured search of five electronic databases (from inception onwards): MEDLINE (Ovid), EMBASE (Ovid), PsycINFO (Ovid), CINAHL (Ebsco), and Cochrane Library. Content experts and authors who are prolific in the field may be contacted. The literature searches will be designed and conducted by a qualified medical librarian (RSH). The search will include a broad range of terms and keywords related to sleep, sleep disturbance, pediatric population, cancer, and non-pharmacological interventions. Results will be limited to full-text articles published in the English language. Additionally, we will consider the reference lists of all included studies. A draft search strategy for MEDLINE (Ovid) is provided in Additional file 2.

Study selection

Following the search, all identified citations will be collated and uploaded into EndNote X9 (Clarivate Analytics, PA, USA) and duplicates removed. Titles and abstracts will then be screened by two independent reviewers (IMO, IS) for assessment against the inclusion criteria for the review. For this step, the Rayyan [36] platform will be used to facilitate reviewer independence. Potentially relevant studies will be retrieved in full and their citation details imported into the Joanna Briggs Institute System for the Unified Management, Assessment and Review of Information (JBI SUMARI) (Joanna Briggs Institute, Adelaide, Australia) [37]. The full text of selected citations will be assessed in detail against the inclusion criteria by two independent reviewers (PLS, HJJ) using JBI critical appraisal tools. Reasons for exclusion of full-text studies that do not meet the inclusion criteria will be recorded and reported in the systematic review. Any disagreements that arise between the reviewers at each stage of the study selection process will be resolved through discussion, or with a third reviewer. A PRISMA flow diagram showing details of studies included and excluded at each stage of the study selection process will be provided [38].

Assessment of methodological quality

Eligible studies will be critically appraised by two independent reviewers for methodological quality using standardized critical appraisal instruments from the Joanna Briggs Institute for experimental and quasi-experimental studies [29]. Authors of papers will be contacted to request missing or additional data for clarification, where required. Any disagreements that arise will be resolved through discussion, or with a third reviewer. The results of the critical appraisal will be reported in narrative form and in a table.

All studies, regardless of the results of their methodological quality, will undergo data extraction and synthesis (where possible).

Data extraction

Data will be extracted from studies included in the review by two independent reviewers using the JBI SUMARI standardized data extraction tool. The data extracted will include specific details about the populations, study methods, interventions, and outcomes of significance to the review objective of assessing the impact of non-pharmacological interventions for sleep in pediatric cancer patients and survivors. Any disagreements that arise between the reviewers will be resolved through discussion, or with a third reviewer. Authors of papers will be contacted to request missing or additional data, where required.

Data synthesis

Given the anticipated heterogeneity of studies, intervention methods, methodological design, and outcome measures likely to be encountered in this review, meta-analysis may not be feasible. In this case, the review will include a narrative synthesis of the interventional studies targeting improvement in sleep in pediatric cancer patients and survivors, incorporating structured guidance for narrative synthesis [39, 40]. First, a qualitative/narrative synthesis will be completed (e.g., synthesize primary studies to explore heterogeneity descriptively through structured narratives, summary tables, or figures to aid in data presentation where appropriate). Details of intervention paradigms (e.g., procedures, recipients, provider) may be summarized in a table per the Template of Intervention Description and Replication guidance [41].

Next, study data will be quantitatively synthesized, if there is an alignment in the outcome measures for the primary and secondary outcomes (e.g., self-reported or proxy reported ratings of sleep quality on the same scale).

If the data is appropriate for quantitative synthesis, studies will be pooled in statistical meta-analysis (e.g., random effects model) using JBI SUMARI. Effect sizes will be expressed as either odds ratios (for dichotomous data) and weighted (or standardized) final post-intervention mean differences (for continuous data) and their 95% confidence intervals will be calculated for analysis. Dependent on the data available, planned summary measures (e.g., risk ratios, standardized mean differences) will be calculated. Heterogeneity will be assessed statistically using the standard chi-squared and I-squared tests. Statistical analyses will be performed using random effects [42]. Additional proposed subgroup analysis based on the findings includes but is not limited to analyses by cancer type, age groups (e.g., child versus adolescents), and treatment paradigms.

Meta-biases

Sensitivity analyses will be conducted to test decisions made regarding sample size, methodological quality, or variance. A funnel plot will be generated to assess publication bias if there are 10 or more studies included in a meta-analysis. Statistical tests for funnel plot asymmetry (e.g., Egger test [43], Begg test [44], Harbord-Egger test [45]) will be performed where appropriate.

Further, studies will be classified based on the level of risk across several bias categories, including low, some concern, and high. Bias categories include selection bias (e.g., randomization, allocation concealment), performance bias (e.g., participant blinding to intervention arm), detection bias (outcome assessment blinding), attrition bias (e.g., attrition rate, use of intent-to-treat principle), reporting bias, and other bias sources.

Assessing certainty in the findings

The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach [46] for grading the certainty of evidence will be followed and a Summary of Findings (SoF) will be created using GRADEPro (McMaster University, ON, Canada). The SoF will present the following information where appropriate: absolute risks for the treatment and control, estimates of relative risk, and a ranking of the quality of the evidence based on the risk of bias, directness, heterogeneity, precision, and risk of publication bias of the review results. The outcomes reported in the SoF will include sleep quality, sleep disturbance, sleep duration, and daytime sleepiness.

Discussion

This systematic review will synthesize and consolidate evidence on existing non-pharmacological interventions to improve sleep in pediatric cancer patients and survivors. A primary goal is to identify candidate interventions for standard of care recommendations based on efficacy and quality of evidence. Even if no strong recommendations for non-pharmacological sleep intervention for pediatric cancer patients and survivors emerge from this review, findings can still help inform clinical care. Aggregating relevant empirical interventions, their efficacy, and quality of evidence can help inform clinical decision-making even as standard of care recommendations are further researched and developed. In addition, the review may reveal innovative and emerging approaches to sleep intervention in this population that may have promise and may prove good candidates for further clinical investigation. Results of the review may identify effective interventions that are specific to certain settings, age groups, or other clinically relevant categorical criteria.

Beyond informing clinical care, the review is intended to identify gaps and opportunities to improve the methodical quality of further non-pharmacological sleep intervention research in this population toward developing an eventual standard of care. This review can offer researchers a head start in identifying and testing existing and new intervention paradigms to improve sleep, and subsequently quality of life, in pediatric cancer patients and survivors.

Several potential limitations exist that may impact this review. Publication bias and restriction of this review to English language publications may limit generalizability and robustness of relative recommendations for specific paradigms to improve sleep in pediatric cancer patients and survivors. Further, we recognize that there may be significant heterogeneity of intervention paradigms and outcome measures which may preclude statistical pooling and meta-analysis of findings. On the one hand, this is a potential limitation, though on the other being broadly inclusive of intervention paradigms may be useful in identifying innovative approaches to non-pharmacological sleep intervention that warrant further investigation. If meta-analysis is not feasible, the review will include a narrative synthesis of intervention effects. We will attempt to mitigate the impact of limitations through rigorous adherence to decision criteria and review methodology while highlighting potential limitations and cautious interpretation of findings.

The findings from this review will be disseminated through publication in a peer-reviewed journal.

Availability of data and materials

Not applicable

Abbreviations

JBI:

Joanna Briggs Institute

JBI SUMARI:

Joanna Briggs Institute System for the Unified Management, Assessment and Review of Information

SDPCM:

Sleep Disturbances in Pediatric Cancer Model

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

PRISMA-P:

Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols

PROMIS:

Patient Reported Outcomes Measurement Information System

GRADE:

Grading of Recommendations, Assessment, Development and Evaluation

References

  1. Howlader N, Noone A, Krapcho M, Miller D, Brest A, Yu M, et al. SEER Cancer Statistics Review, 1975-2016. Natl Cancer Inst. 2019.

  2. Marusak HA, Iadipaolo AS, Harper FW, Elrahal F, Taub JW, Goldberg E, et al. Neurodevelopmental consequences of pediatric cancer and its treatment: applying an early adversity framework to understanding cognitive, behavioral, and emotional outcomes. Neuropsychol Rev. 2018;28(2):123–75. https://doi.org/10.1007/s11065-017-9365-1.

    Article  PubMed  Google Scholar 

  3. Russo S, Fardell JE, Signorelli C, Wakefield CE, Mcloone JK, Cohn RJ. Sleep disturbances in childhood cancer survivors. Pediatr Blood Cancer. 2016;63(4):759–60. https://doi.org/10.1002/pbc.25858.

    Article  PubMed  Google Scholar 

  4. Steur LM, Kolk RH, Mooij F, de Vries R, Grootenhuis MA, Kaspers GJ, et al. The prevalence and risk factors of sleep problems in pediatric oncology: its effect on quality of life during and after cancer treatment. Expert Rev Qual Life Cancer Care. 2016;1(2):153–71. https://doi.org/10.1080/23809000.2016.1168265.

    Article  Google Scholar 

  5. Zhou ES, Recklitis CJ. Insomnia in adult survivors of childhood cancer: a report from project REACH. Support Care Cancer. 2014;22(11):3061–9. https://doi.org/10.1007/s00520-014-2316-y.

    Article  PubMed  Google Scholar 

  6. Gregory AM, Sadeh A. Sleep, emotional and behavioral difficulties in children and adolescents. Sleep Med Rev. 2012;16(2):129–36. https://doi.org/10.1016/j.smrv.2011.03.007.

    Article  PubMed  Google Scholar 

  7. Walter LM, Nixon GM, Davey MJ, Downie PA, Horne RS. Sleep and fatigue in pediatric oncology: A review of the literature. Sleep Med Rev. 2015;24:71–82. https://doi.org/10.1016/j.smrv.2015.01.001.

    Article  PubMed  Google Scholar 

  8. Mandrell BN, Wise M, Schoumacher RA, Pritchard M, West N, Ness KK, et al. Excessive daytime sleepiness and sleep-disordered breathing disturbances in survivors of childhood central nervous system tumors. Pediatr Blood Cancer. 2012;58(5):746–51. https://doi.org/10.1002/pbc.23311.

    Article  PubMed  Google Scholar 

  9. Rosen G, Brand SR. Sleep in children with cancer: case review of 70 children evaluated in a comprehensive pediatric sleep center. Support Care Cancer. 2011;19(7):985–94. https://doi.org/10.1007/s00520-010-0921-y.

    Article  PubMed  Google Scholar 

  10. Orsey AD, Wakefield DB, Cloutier MM. Physical activity (PA) and sleep among children and adolescents with cancer. Pediatr Blood Cancer. 2013;60(11):1908–13. https://doi.org/10.1002/pbc.24641.

    Article  PubMed  Google Scholar 

  11. Lee S, Narendran G, Tomfohr-Madsen L, Schulte F. A systematic review of sleep in hospitalized pediatric cancer patients. Psycho-oncology. 2017;26(8):1059–69. https://doi.org/10.1002/pon.4149.

    Article  PubMed  Google Scholar 

  12. Nunes MDR, Jacob E, Adlard K, Secola R, Nascimento L, editors. Fatigue and sleep experiences at home in children and adolescents with cancer. Oncol Nurs Forum. 2015;42:498–506.

  13. Kothare SV, Kaleyias J, editors. The clinical and laboratory assessment of the sleepy child. Semin Pediatr Neurol. 2008;15(2):61–9. Elsevier.

  14. Daniel LC, Schwartz LA, Mindell JA, Tucker CA, Barakat LP. Initial validation of the sleep disturbances in pediatric cancer model. J Pediatr Psychol. 2016;41(6):588–99. https://doi.org/10.1093/jpepsy/jsw008.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Merz EL, Tomfohr-Madsen L. Sleep Disruption in Pediatric Cancer Survivors: Conceptual Framework and Opportunities for Clinical Assessment and Behavioral Treatment. Am J Lifestyle Med. 2018;12(4):311–23. https://doi.org/10.1177/1559827616681725.

    Article  PubMed  Google Scholar 

  16. Paruthi S, Brooks LJ, D'Ambrosio C, Hall WA, Kotagal S, Lloyd RM, et al. Recommended amount of sleep for pediatric populations: a consensus statement of the American Academy of Sleep Medicine. J Clin Sleep Med. 2016;12(06):785–6. https://doi.org/10.5664/jcsm.5866.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Fuligni AJ, Bai S, Krull JL, Gonzales NA. Individual differences in optimum sleep for daily mood during adolescence. J Clin Child Adolesc Psychol. 2019;48(3):469–79. https://doi.org/10.1080/15374416.2017.1357126.

    Article  PubMed  Google Scholar 

  18. Astill RG, Van der Heijden KB, Van IJzendoorn MH, Van Someren EJ. Sleep, cognition, and behavioral problems in school-age children: A century of research meta-analyzed. Psychol Bull. 2012;138(6):1109–38. https://doi.org/10.1037/a0028204.

    Article  PubMed  Google Scholar 

  19. Vriend JL, Davidson FD, Corkum PV, Rusak B, Chambers CT, McLaughlin EN. Manipulating sleep duration alters emotional functioning and cognitive performance in children. J Pediatr Psychol. 2013;38(10):1058–69. https://doi.org/10.1093/jpepsy/jst033.

    Article  PubMed  Google Scholar 

  20. Louca M, Short MA. The effect of one night's sleep deprivation on adolescent neurobehavioral performance. Sleep. 2014;37(11):1799–807. https://doi.org/10.5665/sleep.4174.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Owens JA, Moturi S. Pharmacologic treatment of pediatric insomnia. Child Adolesc Psychiatr Clin N Am. 2009;18(4):1001–16. https://doi.org/10.1016/j.chc.2009.04.009.

    Article  PubMed  Google Scholar 

  22. Johnson JA, Rash JA, Campbell TS, Savard J, Gehrman PR, Perlis M, et al. A systematic review and meta-analysis of randomized controlled trials of cognitive behavior therapy for insomnia (CBT-I) in cancer survivors. Sleep Med Rev. 2016;27:20–8. https://doi.org/10.1016/j.smrv.2015.07.001.

    Article  PubMed  Google Scholar 

  23. Mercier J, Savard J, Bernard P. Exercise interventions to improve sleep in cancer patients: a systematic review and meta-analysis. Sleep Med Rev. 2017;36:43–56. https://doi.org/10.1016/j.smrv.2016.11.001.

    Article  PubMed  Google Scholar 

  24. Garland SN, Xie SX, DuHamel K, Bao T, Li Q, Barg FK, et al. Acupuncture versus cognitive behavioral therapy for insomnia in cancer survivors: a randomized clinical trial. J Natl Cancer Inst. 2019;111(12):1323–31. https://doi.org/10.1093/jnci/djz050.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Howell D, Oliver TK, Keller-Olaman S, Davidson J, Garland S, Samuels C, et al. A Pan-Canadian practice guideline: prevention, screening, assessment, and treatment of sleep disturbances in adults with cancer. Support Care Cancer. 2013;21(10):2695–706. https://doi.org/10.1007/s00520-013-1823-6.

    Article  PubMed  Google Scholar 

  26. Coughtrey A, Millington A, Bennett S, Christie D, Hough R, Su MT, et al. The effectiveness of psychosocial interventions for psychological outcomes in pediatric oncology: a systematic review. J Pain Symptom Manag. 2018;55(3):1004–17. https://doi.org/10.1016/j.jpainsymman.2017.09.022.

    Article  Google Scholar 

  27. Baumann FT, Bloch W, Beulertz J. Clinical exercise interventions in pediatric oncology: a systematic review. Pediatr Res. 2013;74(4):366–74. https://doi.org/10.1038/pr.2013.123.

    Article  PubMed  Google Scholar 

  28. Wild MR, Espie CA. The efficacy of hypnosis in the reduction of procedural pain and distress in pediatric oncology: a systematic review. J Dev Behav Pediatr. 2004;25(3):207–13. https://doi.org/10.1097/00004703-200406000-00010.

    Article  PubMed  Google Scholar 

  29. Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L. Chapter 3: Systematic reviews of effectiveness. In: Joanna Briggs Institute Reviewer's Manual. Adelaide: The Joanna Briggs Institute; 2017.

  30. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1. https://doi.org/10.1186/2046-4053-4-1.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Bruni O, Ottaviano S, Guidetti V, Romoli M, Innocenzi M, Cortesi F, et al. The Sleep Disturbance Scale for Children (SDSC) Construct ion and validation of an instrument to evaluate sleep disturbances in childhood and adolescence. J Sleep Res. 1996;5(4):251–61. https://doi.org/10.1111/j.1365-2869.1996.00251.x.

    Article  CAS  PubMed  Google Scholar 

  32. Bevans KB, Meltzer LJ, De La Motte A, Kratchman A, Viél D, Forrest CB. Qualitative development and content validation of the PROMIS Pediatric Sleep Health items. Behav Sleep Med. 2019;17(5):657–71. https://doi.org/10.1080/15402002.2018.1461102.

    Article  PubMed  Google Scholar 

  33. Forrest CB, Meltzer LJ, Marcus CL, de la Motte A, Kratchman A, Buysse DJ, et al. Development and validation of the PROMIS Pediatric Sleep Disturbance and Sleep-Related Impairment item banks. Sleep. 2018;41(6):zsy054.

    Article  Google Scholar 

  34. Morin CM. Insomnia: psychological assessment and management. New York: Guilford Press; 1993.

  35. Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–5.

    Article  CAS  PubMed  Google Scholar 

  36. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. https://doi.org/10.1186/s13643-016-0384-4.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Munn Z, Aromataris E, Tufanaru C, Stern C, Porritt K, Farrow J, et al. The development of software to support multiple systematic review types: the Joanna Briggs Institute System for the Unified Management, Assessment and Review of Information (JBI SUMARI). Int J Evid Based Healthc. 2019;17(1):36–43. https://doi.org/10.1097/XEB.0000000000000152.

    Article  PubMed  Google Scholar 

  38. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020;368:1–6.

  40. Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, et al. Guidance on the conduct of narrative synthesis in systematic reviews. A Prod ESRC Methods Programme Version. 2006;1:b92.

    Google Scholar 

  41. Hoffmann TC, Oxman AD, Ioannidis JP, Moher D, Lasserson TJ, Tovey DI, et al. Enhancing the usability of systematic reviews by improving the consideration and description of interventions. BMJ. 2017;358:1–8.

  42. Tufanaru C, Munn Z, Stephenson M, Aromataris E. Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness. Int J Evid Based Healthc. 2015;13(3):196–207. https://doi.org/10.1097/XEB.0000000000000065.

    Article  PubMed  Google Scholar 

  43. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315(7109):629–34. https://doi.org/10.1136/bmj.315.7109.629.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–101. https://doi.org/10.2307/2533446.

    Article  CAS  PubMed  Google Scholar 

  45. Harbord RM, Egger M, Sterne JA. A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Stat Med. 2006;25(20):3443–57. https://doi.org/10.1002/sim.2380.

    Article  PubMed  Google Scholar 

  46. Schünemann H. The GRADE handbook: Cochrane Collaboration; 2013.

Download references

Acknowledgements

Not applicable

Funding

Dr. Sara Nowakowski receives salary support from National Institutes of Health grant # R01NR018342. Dr. Maria Swartz receives salary support from grants from the Claude D. Pepper Older Americans Independence Center #P30AG024832 and National Institute on Aging #1R01AG064092. Funding sources had no role in the design of this protocol and will not have any role during its execution, analyses, or interpretation of results.

Author information

Authors and Affiliations

Authors

Contributions

PLS is a guarantor of the review. PLS conceived the study, and PLS, IMO, and SJW drafted the protocol. RSH developed and drafted the review search strategies. MCS, SN, HJJ, and IS revised the protocol for important intellectual content. HJJ and MCS will provide conceptual and methods guidance throughout the review. And SN will provide subject-specific guidance. All authors have read, provided critical revisions to the manuscript, and approved the final version of the submitted protocol.

Corresponding author

Correspondence to Peter L. Stavinoha.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

PRISMA-P 2015 Checklist.

Additional file 2.

Search strategy.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stavinoha, P.L., Olsthoorn, I.M., Swartz, M.C. et al. Non-pharmacological sleep interventions for pediatric cancer patients and survivors: a systematic review protocol. Syst Rev 10, 166 (2021). https://doi.org/10.1186/s13643-021-01724-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13643-021-01724-3

Keywords