Skip to main content
Journal of Pain Research logoLink to Journal of Pain Research
. 2026 Sep 26;19:644636. doi: 10.2147/JPR.S644636

Effects of Non-Pharmacological Interventions on Pain and Psychological Outcomes in Patients with Burns: A Systematic Review and Meta-Analysis

Miaomiao Ye 1,*, Jing Yao 2,*, Miao Yao 1, Xiangwen You 1, Xuanqi Liu 1, Rong Yan 1,✉
PMCID: PMC13625984  PMID: 42819491

Abstract

Background

Non-pharmacological interventions are used alongside analgesia in burn care, but the evidence comes from clinically diverse interventions, populations, and settings.

Methods

We searched nine databases from inception to July 1, 2026. Controlled studies of virtual reality, music, massage, hypnosis, relaxation, distraction, or structured psychological interventions in patients with burns were eligible. Continuous outcomes measuring the same construct were synthesized as Hedges’g standardized mean differences (SMDs) using random-effects models. Multi-arm trials contributed one independent study-level effect by combining eligible intervention arms sharing a common control. Risk of bias was assessed with RoB 2 or ROBINS-I, and certainty with GRADE.

Results

Sixteen studies were included; 10 contributed to meta-analysis. Pain was lower with non-pharmacological interventions (4 studies, n=354; SMD=−0.78, 95% CI −1.27 to −0.29; I2=78.8%). A restricted pain analysis remained favorable (2 studies, n=206; SMD=−0.61, 95% CI −1.16 to −0.06). Randomized-trial analyses favored interventions for general anxiety (3 studies, n=261; SMD=−1.03, 95% CI −1.63 to −0.43) and depressive symptoms (2 studies, n=141; SMD=−1.31, 95% CI −1.91 to −0.72). Pain-related anxiety was lower in 2 studies (n=360; SMD=−0.83, 95% CI −1.28 to −0.38; I2=70.3%). Certainty was low for pain and pain-related anxiety and very low for general anxiety and depressive symptoms.

Conclusion

Selected interventions were associated with lower procedural pain, pain-related anxiety, and some short-term psychological symptoms. Substantial clinical and methodological heterogeneity limits the certainty and generalizability of the pooled estimates. These interventions should be considered adjuncts to, not replacements for, pharmacological analgesia and appropriate psychological care.

Keywords: burns, non-pharmacological interventions, pain, anxiety, depressive symptoms, pain-related anxiety, systematic review, meta-analysis

Introduction

Burn injuries cause not only tissue damage but also persistent, procedural, and breakthrough pain, with lasting consequences for functional recovery and social participation.1,2 Debridement, dressing changes, donor-site care, scar stretching, and rehabilitation exercises can all provoke substantial pain. Guidelines for pain management in adults and children with burns emphasize timely, individualized, multimodal analgesia; non-pharmacological interventions should be used as adjuncts rather than substitutes for adequate pharmacological analgesia and appropriate wound care.3,4 Pain, anxiety, and depression are interrelated throughout burn recovery, and memories of previous pain together with threat anticipation before subsequent procedures may further reduce treatment cooperation and adherence to rehabilitation.5–7

Recent evidence syntheses have focused predominantly on virtual reality (VR). A large systematic review spanning multiple procedural settings suggested that VR may reduce procedure-related pain, although effects varied according to device characteristics, degree of interaction, and comparator design.8 Burn-specific reviews similarly indicate a potential adjunctive analgesic effect during dressing changes and physical therapy, but substantial heterogeneity remains across adults, children, and clinical procedures.9–14 A network meta-analysis has also compared VR with music-based interventions; however, rankings based largely on indirect comparisons and small studies should not be treated as a direct guide to clinical priority.15

Evidence on music-based interventions has also expanded. Systematic reviews in adults, a meta-analysis in pediatric burn populations, and updated evidence syntheses published in 2025 suggest possible reductions in pain and anxiety; however, researcher-delivered recorded music, patient-preferred music, and therapist-led music-assisted relaxation are clinically distinct interventions.16–20 Evidence for massage, aromatherapy, and hypnosis is more limited. One randomized study suggested that a 20-minute hand shiatsu massage may reduce pain-related anxiety in patients with burns, but the conclusion requires caution because it is based on a single study with a small sample and short-term assessment.21 Reviews of aromatherapy and broader non-pharmacological interventions have likewise emphasized small samples, risk of bias, and heterogeneity in intervention protocols.22,23 Evidence on acute procedural pain in broader populations provides a rationale for further investigation of hypnosis, but burn-specific trials remain limited.24

Most previous syntheses have examined a single modality, particularly virtual reality or music, or have focused on a specific procedure or outcome. As a result, they provide limited information on how the available controlled evidence relates simultaneously to pain, general anxiety, depressive symptoms, and pain-related anxiety across burn-care settings. Comparator intensity, multi-arm and crossover designs, and the distinction between procedure-specific pain-related anxiety and broader psychological symptoms have also been handled inconsistently. We therefore undertook an updated synthesis across several non-pharmacological modalities while keeping these outcome constructs separate. The review examines study design, comparator type, intervention class, burn-care context, risk of bias, and GRADE certainty, with sensitivity analyses and descriptive intervention-type stratification used to assess the stability and clinical interpretation of pooled effects.

Materials and Methods

Study Design and Reporting Guidelines

This systematic review and meta-analysis was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement25 and informed by the Cochrane Handbook for Systematic Reviews of Interventions.26 We also considered pain-medicine-specific guidance on systematic review protocol elements, evidence synthesis, heterogeneity, and transparent reporting.27,28 The review question was formulated using the Population, Intervention, Comparator, Outcomes, and Study design (PICOS) framework. Pain was the primary outcome; general anxiety, depressive symptoms, pain-related anxiety, and other clinically relevant outcomes were secondary outcomes. The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; registration number CRD420261463436).

Information Sources and Search Strategy

PubMed/MEDLINE, Embase, Web of Science Core Collection, the Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing and Allied Health Literature (CINAHL), SinoMed, China National Knowledge Infrastructure, Wanfang Data, and VIP Database were searched from inception to July 1, 2026. Search terms covered burns, scalds, virtual reality, music, massage, aromatherapy, hypnosis, guided imagery, relaxation, distraction, psychological interventions, pain, anxiety, depression, dressing changes, debridement, and rehabilitation. Controlled vocabulary, search fields, and truncation operators were adapted for each database.

Eligibility Criteria

Studies were eligible if they: (1) enrolled patients with burn or scald injuries; (2) evaluated virtual reality, music, massage, hypnosis, relaxation training, distraction, structured psychological interventions, or an identifiable combination of these approaches; (3) included usual care, usual analgesia, an attention control, an active comparator, or a within-participant control; (4) reported pain, general anxiety, depressive symptoms, pain-related anxiety, or another prespecified outcome; and (5) used a randomized parallel-group, randomized crossover, randomized repeated-measures, quasi-experimental, or non-randomized controlled design. The intervention categories were grouped under non-pharmacological adjunctive care because they were non-drug strategies intended to modify pain perception, anticipatory threat, arousal, attention, or coping during burn care; they were not assumed to be mechanistically interchangeable. No review-level minimum or maximum threshold for total body surface area (TBSA) or burn depth was imposed. Burn depth, TBSA, anatomical site, phase of care, and ICU or procedural setting were extracted when reported and were considered potential sources of clinical heterogeneity. Reviews, guidelines, protocols, conference abstracts, case reports, animal studies, uncontrolled single-arm studies, studies in which the independent effect of the non-pharmacological component could not be separated from pharmacological co-interventions, studies without extractable key outcome data, and duplicate publications were excluded.

Study Selection and Data Extraction

Two reviewers independently screened titles and abstracts, assessed full-text eligibility, and extracted data using prespecified eligibility criteria. Disagreements were resolved through discussion, with arbitration by a third reviewer when necessary. Extracted data included study design, sample size, age, burn depth or severity, TBSA when reported, anatomical site, clinical setting, intervention components, frequency and duration, comparator conditions, analgesic co-interventions, pain and psychological outcome instruments, assessment time points or follow-up, means, standard deviations, event counts, and numbers analyzed. If multiple instruments measured the same construct, the measure most directly aligned with the prespecified construct and principal care procedure was selected to avoid double counting. Multiple reports arising from the same trial were linked according to the underlying independent participant sample and grouped into a single StudyID-defined report family to avoid duplicate weighting by publication.

Risk of Bias Assessment

Randomized parallel-group trials were assessed using the revised Cochrane risk-of-bias tool for randomized trials (RoB 2).29 Appropriate RoB 2 variants were used for crossover or within-participant trials, with additional consideration of sequence, period, and carryover effects and the handling of paired data. Non-randomized intervention studies were assessed using the Risk Of Bias In Non-randomized Studies of Interventions tool (ROBINS-I).30 Two reviewers independently assessed risk of bias. Disagreements were resolved by consensus, with arbitration by a third reviewer when necessary.

Certainty of Evidence

The certainty of evidence for pain, general anxiety, depressive symptoms, and pain-related anxiety was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.31 Evidence was downgraded for risk of bias, inconsistency, indirectness, imprecision, and publication bias. For general anxiety and depressive symptoms, GRADE judgments were based primarily on sensitivity analyses restricted to randomized controlled trials.

Statistical Analysis

Analyses were performed using Python 3.13.5 with NumPy, SciPy, statsmodels, and Matplotlib for effect-size estimation, random-effects modeling, and figure generation. Continuous outcomes measuring the same prespecified construct on different instruments (for example, VAS and NRS pain scales) were harmonized using standardized mean differences corrected with Hedges’ g and 95% confidence intervals (CIs). Scale directions were aligned so that negative values favored the non-pharmacological intervention. Pain-related anxiety was analyzed separately from general anxiety and depressive symptoms because it represents a procedure-specific construct. Dichotomous outcomes were expressed as risk ratios (RRs) with 95% CIs. The primary synthesis used inverse-variance random-effects models, with between-study variance estimated using the DerSimonian-Laird method. For the overall class-effect question, when a multi-arm trial contained more than one eligible non-pharmacological intervention sharing the same control group, eligible intervention arms were combined so that the trial contributed one independent study-level effect estimate and the shared control was not reused as independent information. Arm-level contrasts were retained for descriptive intervention-type interpretation but were not used for formal between-subgroup tests when categories were sparse or dependent. Crossover and within-participant studies were pooled only when paired effect estimates were reported or could be estimated. Statistical heterogeneity was described using Cochran Q, I2, and between-study variance (tau2). Because fewer than 10 independent studies contributed to each outcome, funnel plots and formal small-study-effect tests were not performed; publication bias therefore could not be assessed reliably.

Results

Study Selection

The searches, covering database inception through July 1, 2026, identified 1039 records. After deduplication and manual checking, 716 records underwent title and abstract screening, of which 695 were excluded. Full texts were sought for 21 reports, but 3 could not be retrieved. Eighteen reports were assessed for eligibility; 2 were excluded, leaving 16 studies for qualitative synthesis. Ten studies contributed data to at least one meta-analysis. The study selection process is shown in Figure 1.

Figure 1.

A flowchart of study selection process from identification to meta-analysis inclusion. The flowchart illustrates the study selection process. It begins with ′Records identified from databases′ totaling 1039, with no additional records. After deduplication, 716 records are screened and 695 are excluded. ′Reports sought for retrieval′ number 21, with 3 not retrieved. ′Reports assessed for eligibility′ total 18, with 2 excluded due to drug co-intervention and lack of independent comparator. ′Studies included in qualitative synthesis′ are 16 and ′Studies included in meta-analysis′ are 10.

PRISMA 2020 flow diagram of study selection.

Characteristics of Included Studies

The 16 included studies were published between 2001 and 2025 and were conducted in China, Iran, the United States, Türkiye, and India. Both pediatric and adult populations were represented. Burn severity was heterogeneous: some reports enrolled deep partial-thickness or deep facial burns, some included second- and third-degree burns, and several did not provide a numeric TBSA. Where reported, TBSA ranged from small outpatient burns to substantially larger inpatient burns. Clinical settings included dressing changes, debridement, donor-site care, physiotherapy or rehabilitation, pre-discharge psychological care, and other inpatient or outpatient burn-care procedures. Interventions included virtual reality, music-based approaches, massage, hypnosis, and structured psychological interventions. Detailed burn characteristics, intervention dose, comparator, outcome instruments, and follow-up are presented in Table 1 and Table 2.

Table 1.

Characteristics of Included Studies, Including Burn Severity and Intervention Details

Study Country/Design Sample and Burn Severity/TBSA Intervention Intervention Dose/Duration Comparator
Shu 202532 China; controlled study; allocation unclear 105; deep second-degree burns; TBSA 14.23±3.45% vs 13.87±3.24% VR-based recovery video psychological intervention One module daily for 7 days, beginning 1 week before discharge Usual care
He 202133 China; prospective RCT 81 analyzed; deep facial burns; eligibility TBSA ≤20%; mean TBSA ~13±3% vs 14±4% VR-based video psychological intervention Once daily for 7 days before discharge Standard video plus usual care
Zhang 202034 China; parallel-group RCT 86; deep II/III-degree burns; TBSA 7–21% vs 9–25% VR plus music First 3 dressing changes; initiated 5 min before dressing Usual care
Chen 201935 China; non-randomized controlled study 112 adults; severe large-area burns excluded; numeric TBSA NR VR distraction Started 5 min before and continued during dressing Music distraction
Yang Q 202336 China; parallel-group RCT 94 pediatric outpatients (6–12 y); burn/scald severity and TBSA NR VR during dressing Single dressing episode (principally second dressing) Usual pain management
Fu 202537 China; parallel-group RCT 60; burn rehabilitation phase with residual wounds; numeric TBSA NR Acupoint massage plus music 1-month treatment course Acupoint massage
Yang 201138 China; non-randomized controlled study 46; mild-to-moderate burns; TBSA NR Music therapy 20-30 min, twice daily; total course NR Usual care
Najafi 201839 Iran; 2×2 factorial RCT 240 inpatients; mean TBSA 23.92±9.75% (range 14–47%) Patient-preferred music, Swedish massage, or combined intervention Single 20-min session before wound care Usual care
Whitehead-Pleaux 200640 United States; randomized pilot study 14 pediatric burn patients; burn severity/TBSA NR Live music therapy During donor-site dressing (procedure 5–40 min) Verbal interaction
Fratianne 200141 United States; randomized repeated-measures study 25; mean TBSA 9.96% (range 1–43%) Music-based imagery and musical alternate engagement Two consecutive debridement days; ~15-30 min before through 15–20 min after procedure Within-participant no-music control
Görücü 202542 Türkiye; three-arm RCT 120; 67.5% second-degree; eligibility TBSA <20% (2nd degree) or <15% (3rd degree) VR or music 20 min during each of 2 dressing procedures, 1 week apart Usual care
Rohilla 201843 India; quasi-experimental crossover pilot 10 patients; 104 dressings; mean TBSA 27±19% (range 5–60%) Patient-selected music during dressing Alternate dressing sessions every other day over ~2 months Standard dressing-change care
Harandi 200444 Iran; randomized clinical trial 44 women; 66% second/third degree; TBSA 27.1±9.3% vs 30.2±11.3% Hypnotherapy 4 sessions over approximately 3 days Usual physiotherapy
Wang HY 202345 China; parallel-group RCT 88 children (5–12 y); numeric TBSA NR VR video 30 min, 3 times/day for 5 days, including one session during dressing Mobile-phone video
Yin 201646 China; parallel-group RCT 40 children with head/facial burns; burn area 1–25% Comprehensive psychological intervention Intervention duration NR Usual treatment and nursing care
Wang Q 202347 China; randomized crossover study 34 school-aged children; mild deep II/III-degree burns; TBSA mean 1.91% (range 1–6%; all <10%) Adjunctive VR First/second dressing crossover; initiated ~5 min before dressing Standard care

Note: Values are reported as stated in the source studies; when a study did not report numeric TBSA or duration, NR is shown.

Abbreviations: NR, not reported; RCT, randomized controlled trial; TBSA, total body surface area; VR, virtual reality.

Table 2.

Clinical Setting, Outcome Instruments, Follow-Up, and Contribution to Quantitative Synthesis

Study Clinical Setting Pain/Psychological Outcome Instruments Follow-Up/Assessment Period Quantitative Contribution
Shu 202532 Pre-discharge/post-treatment psychological rehabilitation SAS; SDS; coping/QoL; aesthetic outcome Intervention 7 days; aesthetic outcome at 3 months Anxiety, depression, aesthetic outcome
He 202133 Pre-discharge psychological intervention SAS; SDS; Social Avoidance and Distress 1 month after discharge Anxiety, depression
Zhang 202034 Wound dressing VAS/NRS pain; heart rate; blood pressure Across first 3 dressing changes Pain
Chen 201935 Dressing-change procedural pain Worst pain; pain unpleasantness; attention-to-pain measures Immediate procedural assessment Narrative synthesis; active comparator
Yang Q 202336 Outpatient pediatric dressing NRS-based pain occurrence; cooperation; dressing time; satisfaction Single dressing episode Pain incidence, satisfaction
Fu 202537 Burn rehabilitation VAS; SAS; SDS; quality of life After 1-month course Pain, anxiety, depression
Yang 201138 Inpatient burn care SAS; SDS End of treatment; total course NR Anxiety, depression
Najafi 201839 Before painful burn care procedure Persian BSPAS; anticipated anxiety; relaxation/pain measures Immediately around single 20-min intervention Pain-related anxiety
Whitehead-Pleaux 200640 Donor-site dressing change Wong-Baker FACES; Fear Thermometer; Nursing Assessment of Pain Index During/immediately after dressing Narrative synthesis
Fratianne 200141 Burn debridement Combined Faces/VAS self-report pain/anxiety; pulse; observed tension Across 2 consecutive treatment days Narrative synthesis
Görücü 202542 Burn dressing/care procedure VAS; STAI-I/II; BSPAS Pre/post assessments across 2 dressings 1 week apart Pain, anxiety, pain-related anxiety
Rohilla 201843 Dressing change NRS pain; state-trait anxiety measure; opioid use Repeated alternating dressings over ~2 months Opioid use; dressing episodes as unit
Harandi 200444 Physiotherapy VAS procedural pain; state anxiety Across 4 sessions over ~3 days Narrative synthesis
Wang HY 202345 Dressing change Wong-Baker FACES pain; serum cortisol Day 1 to day 5 Pain
Yin 201646 Head/facial burn psychological care Psychological status/post-traumatic growth measures; cooperation Every 3 months for 1 year after discharge Narrative synthesis
Wang Q 202347 Burn wound dressing Wong-Baker FACES; FLACC; vital signs/adverse effects 10 min before, during, and 10 min after dressing Narrative synthesis; paired correlation unavailable

Abbreviations: BSPAS, Burn Specific Pain Anxiety Scale; FLACC, Face, Legs, Activity, Cry, Consolability; NRS, Numeric Rating Scale; NR, not reported; SAS, Self-Rating Anxiety Scale; SDS, Self-Rating Depression Scale; STAI, State-Trait Anxiety Inventory; VAS, Visual Analog Scale.

Risk of Bias

Among the 12 randomized, crossover, or repeated-measures studies, 8 were judged to have some concerns and 4 to be at high overall risk of bias; none was rated low risk. Common concerns were incomplete reporting of randomization or allocation concealment, inability to blind participants and intervention personnel, reliance on subjective pain and psychological outcomes, and incomplete reporting of prespecified protocols or paired-data handling. The 4 non-randomized studies were judged to have serious overall risk of bias, principally because of confounding, participant selection, and subjective outcome measurement (Figures 2 and 3).

Figure 2.

RoB 2 traffic-light plot showing risk-of-bias judgments for 12 randomized, crossover, or repeated-measures studies. The plot displays five RoB 2 domains plus an overall judgment for 12 studies. Eight studies (He et al., 2021; Zhang et al., 2020; Yang Q et al., 2023; Fu et al., 2025; Najafi et al., 2018; Whitehead-Pleaux et al., 2006; Görücü et al., 2025; and Wang HY et al., 2023) have an overall judgment of some concerns. Four studies (Fratianne et al., 2001; Harandi et al., 2004; Yin and Chang, 2016; and Wang Q et al., 2023) have a high overall risk of bias. No study has a low overall risk. Green indicates low risk, orange indicates some concerns, and red indicates high risk.

Risk of bias in randomized studies assessed using RoB 2.

Figure 3.

A ROBINS-I traffic-light plot showing risk-of-bias assessments for four non-randomized studies. The plot presents seven ROBINS-I domains and an overall judgment for four studies. Shu et al., 2025: Confounding, Serious; Selection, Moderate; Classification, Low; Deviations, Moderate; Missing data, Moderate; Outcome measurement, Serious; Selective reporting, Moderate; Overall, Serious. Chen et al., 2019: Confounding, Serious; Selection, Serious; Classification, Low; Deviations, Moderate; Missing data, Low; Outcome measurement, Serious; Selective reporting, Moderate; Overall, Serious. Yang, 2011: Confounding, Serious; Selection, Serious; Classification, Low; Deviations, Moderate; Missing data, Moderate; Outcome measurement, Serious; Selective reporting, Serious; Overall, Serious. Rohilla et al., 2018: Confounding, Serious; Selection, Serious; Classification, Low; Deviations, Serious; Missing data, Low; Outcome measurement, Serious; Selective reporting, Moderate; Overall, Serious. Green indicates low risk, yellow indicates moderate risk, orange indicates serious risk, and red indicates critical risk.

Risk of bias in non-randomized studies assessed using ROBINS-I.

Pain

Four independent studies involving 354 participants contributed to the pain meta-analysis. After eligible intervention arms in the three-arm trial were combined to avoid repeated use of the shared control, non-pharmacological interventions were associated with lower pain scores (SMD = −0.78; 95% CI, −1.27 to −0.29; p = 0.002; I2 = 78.8%; tau2 = 0.194; Cochran Q = 14.16, p = 0.003). After excluding the mobile-video active-comparator study and the add-on music comparison against acupoint massage, 2 independent studies involving 206 participants remained. The effect remained favorable (SMD = −0.61; 95% CI, −1.16 to −0.06; p = 0.030; I2 = 71.7%; tau2 = 0.113; Q = 3.54, p = 0.060). Leave-one-out analyses yielded pooled effects ranging from −0.94 to −0.55, with no change in direction. The pooled pain effect is shown in Figure 4.

Figure 4.

A forest plot of pain effects showing all studies and the pooled estimate on the negative side. A forest plot with four study rows and one pooled row. The x-axis label is, Hedges′ g standardized mean difference, with tick labels at minus 2.5, minus 2.0, minus 1.5, minus 1.0, minus 0.5 and 0.0. A vertical reference line is at 0.0. Study effects are shown as squares with horizontal confidence intervals and printed values at right: Zhang et al, 2020 (VR plus music), minus 0.90 with 95 percent confidence interval minus 1.35 to minus 0.46; Wang HY, 2023 (VR), minus 0.44 with 95 percent confidence interval minus 0.86 to minus 0.02; Gorucu et al, 2025 (VR music combined), minus 0.34 with 95 percent confidence interval minus 0.72 to 0.04; Fu et al, 2025 (acupoint massage plus music), minus 1.56 with 95 percent confidence interval minus 2.14 to minus 0.98. The pooled random-effects model is a diamond centered at minus 0.78 with 95 percent confidence interval minus 1.27 to minus 0.29. Bottom text reads, Random-effects model: p equals 0.002; I2 equals 78.8 percent; tau2 equals 0.194.

Study-level random-effects meta-analysis of non-pharmacological interventions for pain.

General Anxiety and Depressive Symptoms

Five independent studies involving 412 participants contributed to the general-anxiety meta-analysis. After combining eligible intervention arms within the three-arm trial, the overall analysis favored non-pharmacological interventions (SMD = −1.52; 95% CI, −2.22 to −0.82; p < 0.001; I2 = 89.3%; tau2 = 0.556; Q = 37.40, p < 0.001). When restricted to 3 randomized controlled trials involving 261 participants, the pooled effect was SMD = −1.03 (95% CI, −1.63 to −0.43; p = 0.001; I2 = 79.4%; tau2 = 0.222; Q = 9.71, p = 0.008). The direction of effect was unchanged in leave-one-out analyses, with pooled effects ranging from −1.77 to −1.31. The pooled general-anxiety effect is shown in Figure 5.

Figure 5.

A forest plot of Hedges g standardized mean difference for general anxiety across five studies. A forest plot displays five studies and a summary. The x-axis is labeled ′Hedges g standardized mean difference′ with ticks from -3.5 to 0.0. The y-axis lists studies: Yang, 2011 (music); Fu et al, 2025 (acupoint massage + music); Shu et al, 2025 (VR psychological); He et al, 2021 (VR psychological); Gorucu et al, 2025 (VR/music combined); and a Random effects model. Each study has a square point estimate with a horizontal confidence interval and a numeric value: Yang, 2011, -2.50 (95% CI: -3.27 to -1.73); Fu et al, 2025, -1.67 (95% CI: -2.25 to -1.08); Shu et al, 2025, -2.08 (95% CI: -2.55 to -1.60); He et al, 2021, -0.98 (95% CI: -1.44 to -0.51); Gorucu et al, 2025, -0.55 (95% CI: -0.94 to -0.17). A vertical line is at 0.0. The random effects model is shown as a diamond from -2.22 to -0.82, centered at -1.52. Footer: Random effects model: p < 0.001; I superscript 2 = 89.3%; tau superscript 2 = 0.556.

Study-level random-effects meta-analysis of non-pharmacological interventions for general anxiety.

Four independent studies involving 292 participants reported depressive symptoms. The overall analysis favored non-pharmacological interventions (SMD = −1.60; 95% CI, −2.06 to −1.13; p < 0.001; I2 = 65.7%; tau2 = 0.144; Q = 8.73, p = 0.033). Restricting the analysis to 2 randomized controlled trials involving 141 participants yielded an SMD of −1.31 (95% CI, −1.91 to −0.72; p < 0.001; I2 = 60.8%; tau2 = 0.113; Q = 2.55, p = 0.110). Leave-one-out estimates ranged from −1.77 to −1.42 and remained favorable. The pooled depressive-symptom effect is shown in Figure 6.

Figure 6.

A forest plot of depressive symptoms showing all studies and the pooled effect favoring interventions. A forest plot titled ′Random effects meta-analysis of non-pharmacological interventions for depressive symptoms′ shows the Hedges g standardized mean difference on the x-axis, ranging from -3.0 to 0.0, with a reference line at 0.0. Four studies are represented with point estimates and confidence intervals: Yang, 2011 (music) shows an effect of -2.30 (CI: -3.04 to -1.55); Fu et al, 2025 (acupoint massage plus music) shows -1.65 (CI: -2.23 to -1.06); Shu et al, 2025 (VR-based psychological) shows -1.62 (CI: -2.07 to -1.18); He et al, 2021 (VR-based psychological) shows -1.04 (CI: -1.50 to -0.57). A diamond labeled ′Random effects model′ spans -2.06 to -1.13, centered at -1.60. The model indicates p < 0.001, I superscript 2 = 65.7% and tau superscript 2 = 0.144.

Random-effects meta-analysis of non-pharmacological interventions for depressive symptoms.

Pain-Related Anxiety and Other Outcomes

Two independent multi-arm studies involving 360 unique participants contributed to the pain-related-anxiety meta-analysis. Eligible intervention arms sharing a common control were combined within each study before pooling, so that each trial contributed one independent effect estimate. The pooled result favored non-pharmacological interventions (SMD = −0.83; 95% CI, −1.28 to −0.38; p < 0.001; I2 = 70.3%; tau2 = 0.075; Q = 3.37, p = 0.066). The two study-level estimates were approximately −0.58 and −1.04, indicating a consistent direction but clinically important between-study variation. The pooled pain-related-anxiety effect is shown in Figure 7. A summary of all meta-analysis results is provided in Table 3. The distribution of intervention types and the dependency issues relevant to subgroup interpretation are summarized in Table 4.

Figure 7.

A forest plot of pain-related anxiety effects, with two studies and a pooled random-effects estimate.

Study-level random-effects meta-analysis of non-pharmacological interventions for pain-related anxiety.

Table 3.

Summary of Meta-Analysis Results and Heterogeneity Statistics

Outcome Independent Studies Participants SMD (95% CI) p I2 (%) tau2 Cochran Q (p)
Pain: overall 4 354 −0.78 (−1.27 to −0.29) 0.002 78.8 0.194 14.16 (0.003)
Pain: restricted sensitivity 2 206 −0.61 (−1.16 to −0.06) 0.030 71.7 0.113 3.54 (0.060)
General anxiety: overall 5 412 −1.52 (−2.22 to −0.82) <0.001 89.3 0.556 37.40 (<0.001)
General anxiety: RCTs only 3 261 −1.03 (−1.63 to −0.43) 0.001 79.4 0.222 9.71 (0.008)
Depressive symptoms: overall 4 292 −1.60 (−2.06 to −1.13) <0.001 65.7 0.144 8.73 (0.033)
Depressive symptoms: RCTs only 2 141 −1.31 (−1.91 to −0.72) <0.001 60.8 0.113 2.55 (0.110)
Pain-related anxiety 2 360 −0.83 (−1.28 to −0.38) <0.001 70.3 0.075 3.37 (0.066)

Note: Negative SMD values favor the non-pharmacological intervention.

Abbreviations: CI, confidence interval; RCT, randomized controlled trial; SMD, standardized mean difference.

Table 4.

Descriptive Intervention-Type Heterogeneity and Limitations of Subgroup Inference

Outcome Intervention-Type Pattern Independent Studies Dependency/Sparsity Issue Interpretation
Pain VR, music, VR+music, acupoint massage+music 4 Several modalities represented once; Görücü includes VR and music arms sharing one control Modality may contribute to heterogeneity; no reliable formal between-subgroup test
General anxiety Music-based, VR/video psychological, combined interventions 5 Sparse modality groups; Görücü includes VR and music arms sharing one control Descriptive differences only; no comparative ranking
Depressive symptoms Music-based, VR/video psychological, combined interventions 4 Most modality categories represented by one or two studies Formal subgroup inference underpowered
Pain-related anxiety VR, music, preferred music, Swedish massage, combined music+massage 2 Both contributing studies are multi-arm trials with shared controls Formal intervention-type subgroup meta-analysis not statistically reliable

Notes: Intervention-type patterns are presented descriptively. Formal between-subgroup tests were not emphasized because several categories were represented by only one independent study and some arm-level comparisons shared a common control.

Other outcomes were each reported by a single study and were not pooled. Yang Q 2023 reported a lower incidence of pain and a higher overall satisfaction rate in the virtual reality group. Shu 2025 reported a higher rate of good or excellent aesthetic outcomes. Rohilla 2018 reported less opioid use during music-assisted dressing-change sessions; however, dressing-change episodes rather than independent participants were used as the unit of analysis, so this finding should be interpreted cautiously. The individual dichotomous outcomes are summarized in Table 5.

Table 5.

Dichotomous Outcomes Reported by Individual Studies

Outcome Study Events/Total, Intervention Events/Total, Comparator RR (95% CI) Definition
Pain incidence Yang Q 202336 2/47 18/47 0.11 (0.03 to 0.45) Event defined as pain
Overall satisfaction Yang Q 202336 46/47 39/47 1.18 (1.03 to 1.35) Event defined as satisfaction
Good/excellent aesthetic outcome Shu 202532 50/53 40/52 1.23 (1.04 to 1.44) Good/excellent outcome
Opioid use during dressing Rohilla 201843 2/52 10/52 0.20 (0.05 to 0.87) Dressing episodes; observations not independent

Intervention-Type Heterogeneity

Intervention type was examined descriptively as a potential source of heterogeneity. Formal between-subgroup tests were not considered reliable because several modality categories were represented by only one independent study and the Görücü three-arm trial contributed both virtual-reality and music intervention arms against the same control group. Arm-level estimates varied across virtual reality, music, combined VR-plus-music, acupoint-massage-plus-music, massage, and structured psychological interventions, supporting the view that modality may contribute to heterogeneity but not permitting a statistically defensible ranking of intervention categories. The distribution of intervention types and the dependency issues relevant to subgroup interpretation are summarized in Table 4.

Certainty of Evidence

GRADE assessment indicated low-certainty evidence for pain because of risk of bias and inconsistency. Evidence for general anxiety and depressive symptoms from randomized controlled trials was rated very low certainty because of risk of bias, inconsistency, and imprecision. Evidence for pain-related anxiety was downgraded to low certainty because of risk of bias and inconsistency after the multi-arm studies were analyzed at the independent study level. Because fewer than 10 independent studies contributed to each outcome, publication bias could not be assessed reliably. The GRADE summary of findings is presented in Table 6.

Table 6.

GRADE Summary of Findings

Outcome Studies/Participants Effect Estimate (95% CI) Reasons for Downgrading Certainty Interpretation
Pain 4/354 SMD −0.78 (−1.27 to −0.29) Risk of bias; inconsistency Low May reduce pain
General anxiety (RCTs only) 3/261 SMD −1.03 (−1.63 to −0.43) Risk of bias; inconsistency; imprecision Very low May reduce anxiety; magnitude uncertain
Depressive symptoms (RCTs only) 2/141 SMD −1.31 (−1.91 to −0.72) Risk of bias; inconsistency; imprecision Very low May reduce short-term symptoms; magnitude highly uncertain
Pain-related anxiety 2/360 SMD −0.83 (−1.28 to −0.38) Risk of bias; inconsistency Low May reduce pain-related anxiety; magnitude uncertain

Abbreviations: GRADE, Grading of Recommendations Assessment, Development and Evaluation; RCT, randomized controlled trial; SMD, standardized mean difference.

Discussion

Principal Findings and Clinical Interpretation

The pooled results should not be interpreted as evidence of a uniform class effect for non-pharmacological interventions. After the dependency structure of multi-arm trials was re-examined, the direction of the pooled effects remained favorable, but heterogeneity was substantial for pain, general anxiety, and pain-related anxiety. Previous burn-specific reviews and meta-analyses have also reported variation associated with device immersion, mode of delivery, comparator conditions, and clinical setting.8–15 The present review extends those modality-specific syntheses by evaluating pain, general anxiety, depressive symptoms, and procedure-specific pain-related anxiety within the same review, using design-specific risk-of-bias tools, comparator and design sensitivity analyses, and GRADE certainty ratings. The available intervention categories were too sparse and partly dependent to support a reliable ranking of modalities.

The pooled continuous effects were expressed as SMDs because the included studies used different instruments to measure the same constructs. This permits quantitative synthesis but limits direct clinical interpretation because a pooled SMD cannot be converted into one common number of points on the VAS, NRS, SAS, SDS, or BSPAS. Pain-medicine-specific guidance recommends prespecifying clinically important thresholds for primary outcomes when appropriate;27 however, the included burn studies rarely reported a consistent minimal clinically important difference or responder threshold that could be applied across procedures and instruments. Statistical significance should therefore not be treated as evidence of clinically important benefit for every patient. Effect size, certainty, heterogeneity, intervention burden, safety, and patient preference need to be considered together.

In burn care, repeated procedures may be as important as the pain score recorded during a single session. Dressing changes, debridement, and rehabilitation stretching recur throughout treatment, and anticipatory distress can affect cooperation with later procedures. Adjunctive measures such as clear procedural explanations, patient-preferred music, relaxation training, or virtual reality may be useful in selected patients after appropriate safety assessment, but they should be evaluated in relation to the specific procedure and concomitant analgesia.

Pain Findings Support Procedure-Specific Selection of Adjunctive Interventions

The high heterogeneity in the overall pain analysis, which persisted in the restricted analysis, indicates that the included studies addressed related but not identical clinical questions. Comparisons with usual care may capture effects of additional attention, novelty, or interaction as well as the intervention itself, whereas active comparators more directly estimate incremental modality-specific effects. Descriptive stratification suggested variation by intervention type, but formal subgroup-difference testing was not reliable because most categories contained only one independent study and some arm-level contrasts shared a control group. Adult and pediatric burn pain guidelines place non-pharmacological approaches within timely, individualized, multimodal analgesia.3,4 Intervention selection should therefore depend on clinical context, feasibility, and safety rather than on subgroup point estimates alone.

For brief procedures such as dressing changes and debridement, patient-preferred music, relaxation, interactive distraction, or virtual reality may be considered as adjuncts when they are acceptable and feasible, with adequate pharmacological analgesia maintained. Evidence from rehabilitation and intensive care settings is more limited and should not be extrapolated directly from dressing-change studies. Hoffman et al reported the feasibility of immersive virtual reality during wound cleaning in children with large, severe burns.48 In adults receiving intensive care, Ettenberger et al found that music-assisted relaxation may reduce early background pain, whereas clear between-group effects on general anxiety and depression were not observed.49 These studies support procedure- and setting-specific interpretation rather than a single protocol for all burn pain.

General Anxiety and Depressive Symptoms Require Formal Screening and Ongoing Management

The pooled effects for general anxiety and depressive symptoms were large, but these findings are particularly susceptible to small-sample effects, lack of blinding, differential attention, and subjective outcome measurement. Pain, anxiety, and depression remain interrelated over the longer course of burn recovery, and short-term reductions in questionnaire scores do not demonstrate that persistent psychological disorders have been treated.5–7 Some studies reassessed the Self-Rating Anxiety Scale, Self-Rating Depression Scale, or Hospital Anxiety and Depression Scale shortly after the intervention, although these instruments typically capture symptoms over a defined period. When the assessment time does not align with the recall period, lower scores may primarily reflect immediate emotional relief or a better care experience. Recent meta-analyses of music interventions in adults and children likewise reported large effects with substantial heterogeneity and emphasized the need to standardize intervention protocols, providers, and assessment timing.16–20

Bedside non-pharmacological measures should complement, not substitute for, psychological assessment when symptoms persist. Low mood, sleep disturbance, marked social withdrawal, appearance-related distress, or avoidance of treatment may warrant formal assessment with validated instruments and referral according to local clinical pathways. Deng et al reported favorable effects of a structured dignity-based intervention on selected psychological and quality-of-life outcomes in people with burns.50 Such interventions address different clinical goals from brief distraction during dressing changes and should be evaluated separately.

Pain-Related Anxiety May Be a Useful Indicator for Managing Repeated Procedures

Pain-related anxiety is linked to an anticipated dressing change, debridement, or stretching procedure. Anticipation may heighten vigilance and avoidance and can make repeated procedures more difficult. After the shared-control dependency was handled at the study level, heterogeneity for this outcome was substantial rather than minimal. The pooled estimate therefore suggests a favorable direction, but the magnitude is likely to vary with intervention composition, patient population, and comparator context.

Only two multi-arm studies contributed to pain-related anxiety, and both used shared comparators. The revised study-level synthesis is therefore more conservative and should not be interpreted as evidence of a consistent modality-specific effect or an established causal mechanism. Patient-preferred music, massage, and virtual reality showed favorable directions in the available trials, but intervention components and comparator structures differed.39,42 Future trials should report pre-procedural pain-related anxiety, peak procedural pain, rescue analgesia, procedure completion, and anxiety before the next procedure, together with covariance information for multi-arm or repeated-measures designs.

Heterogeneity and Risk of Bias Support Local Evaluation Frameworks

Between-study differences involved age, burn size and depth, TBSA, phase of care, concomitant analgesia, intervention dose, provider, comparator intensity, outcome instrument, and measurement timing. These differences are plausible contributors to the moderate-to-high I2 values and non-zero tau2 estimates. Risk-of-bias domains also affect confidence in the pooled estimates. Incomplete reporting of randomization and allocation concealment may introduce selection bias. Blinding of participants and intervention personnel was often not possible, which may increase expectation and attention effects for subjective outcomes. Incomplete outcome data may bias estimates when attrition is related to symptom burden or intervention tolerability, and the absence of prespecified protocols increases concern about selective outcome reporting. Serious confounding and selection concerns in non-randomized studies further reduce causal confidence. These limitations informed the GRADE downgrades; the pooled estimates are therefore more useful for judging direction of effect than for defining precise treatment magnitudes.

Where burn units use these interventions, routine documentation would strengthen local evaluation. Relevant items include procedure type, timing of pharmacological analgesia, intervention type and duration, pain and pain-related anxiety before and after the procedure, rescue analgesia, procedure completion, adherence, and adverse events. Consistent recording of these variables would make it easier to identify which patients appear to benefit and would provide data for local quality-improvement work or future trials.

Practical Implications for Patients and Burn Services

Discussion with patients should remain limited to outcomes that were actually evaluated in the included studies, including procedural pain, pain-related anxiety, selected short-term psychological symptoms, cooperation, and satisfaction. When more than one acceptable option is available, patient preference can guide the choice between approaches such as music, virtual reality, or relaxation. Alternatives that do not require devices may be preferable for patients who decline virtual reality or who have dizziness, sensory hypersensitivity, or facial wounds. These measures remain adjunctive and do not replace appropriate pharmacological analgesia, wound care, or specialist psychological support.3,4,23

Implementation should reflect the procedure, patient needs, staff skills, and local resources. Patient-preferred music and brief relaxation require little equipment, whereas virtual reality, music therapy, hypnosis, and structured psychological interventions may require devices or trained staff. Local protocols should specify equipment cleaning, monitoring for dizziness or nausea, contraindications to massage, stopping criteria, and referral thresholds. These details are important if the interventions are to be used consistently and evaluated in routine burn care.

Limitations and Directions for Future Research

The included studies were generally small and clinically heterogeneous, and blinding was difficult or impossible for several interventions. Burn depth and TBSA were incompletely reported in some studies, which limited severity-stratified interpretation. Multi-arm and crossover designs also complicated synthesis. After shared-control dependencies were handled at the independent study level, several pooled estimates changed modestly and heterogeneity for pain-related anxiety increased substantially. Most intervention categories contained only one independent study, making formal subgroup-difference tests or meta-regression underpowered and potentially misleading. Fewer than 10 independent studies contributed to each outcome, so publication bias and small-study effects could not be assessed reliably with funnel plots or formal asymmetry tests. Pain-medicine-specific guidance similarly notes the limited power of sparse meta-analyses for evaluating heterogeneity, subgroup effects, and small-study effects.28

Future multicenter randomized trials should prespecify primary outcomes and assessment time points and report sequence generation, allocation concealment, concomitant analgesia, attrition, paired variances, and adverse events in sufficient detail. In addition to pain intensity, clinically useful outcomes include rescue analgesia, procedure completion, anxiety before subsequent procedures, adherence to rehabilitation, nursing workload, equipment maintenance, and cost.

Conclusion

Selected non-pharmacological interventions were associated with lower procedural pain and pain-related anxiety and with improvements in some short-term psychological symptoms in patients with burns. The certainty and generalizability of these findings are limited by heterogeneity in intervention modality, burn severity, comparator, outcome measurement, and risk of bias. The evidence does not establish uniform efficacy or superiority of any intervention category. Non-pharmacological strategies should be used as adjuncts to adequate pharmacological analgesia, wound care, rehabilitation, and psychological assessment or treatment when indicated.

Funding Statement

This study was supported by the Ningxia Natural Science Foundation (Grant No. 2026AAC031111).

Ethics Statement

Not applicable. This review used data from published studies, did not directly recruit participants, and did not access identifiable individual-level information.

Author Contributions

Miaomiao Ye and Jing Yao contributed equally to this work and share first authorship.

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work. Miaomiao Ye and Jing Yao contributed equally to this work and share first authorship.

Disclosure

The authors report no conflicts of interest in relation to this work.

References

  • 1.World Health Organization. Burns. Geneva: World Health Organization; 2023. [Google Scholar]
  • 2.Jeschke MG, van Baar ME, Choudhry MA, Chung KK, Gibran NS, Logsetty S. Burn injury. Nat Rev Dis Primers. 2020;6(1):11. doi: 10.1038/s41572-020-0145-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Romanowski KS, Carson J, Pape K, et al. American Burn Association guidelines on the management of acute pain in the adult burn patient: a review of the literature, a compilation of expert opinion, and next steps. J Burn Care Res. 2020;41(6):1129–16. doi: 10.1093/jbcr/iraa119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Shiferaw A, Mola S, Gashaw A, Sintayehu A. Evidence-based practical guideline for procedural pain management and sedation for burn pediatrics patients undergoing wound care procedures. Ann Med Surg. 2022;83:104756. doi: 10.1016/j.amsu.2022.104756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Panayi AC, Heyland DK, Stoppe C, et al. The long-term intercorrelation between post-burn pain, anxiety, and depression: a post hoc analysis of the RE-ENERGIZE double-blind, randomized, multicenter placebo-controlled trial. Crit Care. 2024;28(1):95. doi: 10.1186/s13054-024-04873-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chokshi SN, Powell CM, Gavrilova Y, Wolf SE, Ozhathil DK. A narrative review of the history of burn-related depression and stress reactions. Medicina. 2022;58(10):1395. doi: 10.3390/medicina58101395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jain M, Khadilkar N, De Sousa A. Burn-related factors affecting anxiety, depression and self-esteem in burn patients: an exploratory study. Ann Burns Fire Disasters. 2017;30(1):30–34. [PMC free article] [PubMed] [Google Scholar]
  • 8.Teh JJ, Pascoe DJ, Hafeji S, et al. Efficacy of virtual reality for pain relief in medical procedures: a systematic review and meta-analysis. BMC Med. 2024;22(1):64. doi: 10.1186/s12916-024-03266-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lou J, Li J, Fan Y, Zhang C, Huang N. Effects of virtual reality on analgesia in wound care and physical therapy for burn patients: a systematic review and meta-analysis. Pain Manag Nurs. 2024;25(4):377–388. doi: 10.1016/j.pmn.2024.03.002 [DOI] [PubMed] [Google Scholar]
  • 10.Senol Celik S, Celik Y, Arslan HN, Bozkul G. The effect of virtual reality-based interventions on pain in burn wound care in burn patients: a systematic review and meta-analysis. J Tissue Viability. 2024;33(4):999–1011. doi: 10.1016/j.jtv.2024.07.019 [DOI] [PubMed] [Google Scholar]
  • 11.Taşçı Ö, Özer N, Çoğaltay N. The effect of virtual reality application on pain during wound care dressing change: a systematic review and meta-analysis of randomized controlled trials. Pain Manag Nurs. 2024;25(2):e99–e107. doi: 10.1016/j.pmn.2023.11.008 [DOI] [PubMed] [Google Scholar]
  • 12.Savaş EH, Demir AS, Semerci R, Karadağ A. Effect of virtual reality on pain during burn dressing in children: a systematic review and meta-analysis of randomized controlled trials. J Pediatr Nurs. 2023;73:e364–e371. doi: 10.1016/j.pedn.2023.10.002 [DOI] [PubMed] [Google Scholar]
  • 13.de Jesus Catalã CA, Pan R, Kron-Rodrigues MR, Freitas NO. Virtual reality therapy to control burn pain: systematic review of randomized controlled trials. J Burn Care Res. 2022;43(4):880–888. doi: 10.1093/jbcr/irab213 [DOI] [PubMed] [Google Scholar]
  • 14.Norouzkhani N, Chaghian Arani R, Mehrabi H, et al. Effect of virtual reality-based interventions on pain during wound care in burn patients: a systematic review and meta-analysis. Arch Acad Emerg Med. 2022;10(1):e84. doi: 10.22037/aaem.v10i1.1756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhang W, Sui X, Zhang L, Zhang L, Yan H, Song S. Effects of two non-drug interventions on pain and anxiety in the nursing process of burn patients: a literature review with meta-analysis. Front Rehabil Sci. 2024;5:1479833. doi: 10.3389/fresc.2024.1479833 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Monsalve-Duarte S, Betancourt-Zapata W, Suarez-Cañon N, et al. Music therapy and music medicine interventions with adult burn patients: a systematic review and meta-analysis. Burns. 2022;48(3):510–521. doi: 10.1016/j.burns.2021.11.002 [DOI] [PubMed] [Google Scholar]
  • 17.Chen B, Qiu R, Huang H. The effects of music intervention on pediatric burn patients during treatment: a systematic review and meta-analysis. Front Neurol. 2025;16:1545611. doi: 10.3389/fneur.2025.1545611 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wang H, Qiu R, Huang H, Chen B. Effects of music intervention in patients with burn injury: a systematic review and meta-analysis. Medicine. 2025;104(43):e45531. doi: 10.1097/MD.0000000000045531 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Li J, Zhou L, Wang Y. The effects of music intervention on burn patients during treatment procedures: a systematic review and meta-analysis of randomized controlled trials. BMC Complement Altern Med. 2017;17(1):158. doi: 10.1186/s12906-017-1669-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Li Y, Liu FL, Yuan J, Li J, Liu ZW, Guan NX. Meta-analysis of the interventional effects of music therapy on pain and anxiety of burn patients in wound dressing change. Chin J Burns Wounds. 2022;38(11):1079–1084. doi: 10.3760/cma.j.cn501120-20210716-00252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mohaddes ardabili F, Purhajari S, Najafi Ghzeljeh T, Haghani H. The effect of Shiatsu massage on underlying anxiety in burn patients. World J Plast Surg. 2015;4(1):36–39. [PMC free article] [PubMed] [Google Scholar]
  • 22.Choi J, Lee JA, Alimoradi Z, et al. Aromatherapy for the relief of symptoms in burn patients: a systematic review of randomized controlled trials. Burns. 2018;44(6):1395–1402. doi: 10.1016/j.burns.2017.10.009 [DOI] [PubMed] [Google Scholar]
  • 23.Gasteratos K, Papakonstantinou M, Man A, Babatsikos E, Tamalonis A, Goverman J. Adjunctive nonpharmacologic interventions for the management of burn pain: a systematic review. Plast Reconstr Surg. 2022;149(5):985e–994e. doi: 10.1097/PRS.0000000000009059 [DOI] [PubMed] [Google Scholar]
  • 24.Kendrick C, Sliwinski J, Yu Y, et al. Hypnosis for acute procedural pain: a critical review. Int J Clin Exp Hypn. 2016;64(1):75–115. doi: 10.1080/00207144.2015.1099405 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Higgins JPT, Thomas J, Chandler J, et al. editors. Cochrane handbook for systematic reviews of interventions. Version 6.5. Cochrane; 2024. [Google Scholar]
  • 27.Barrington MJ, D’Souza RS, Mascha EJ, Narouze S, Kelley GA. Systematic reviews and meta-analyses in regional anesthesia and pain medicine (Part I): guidelines for preparing the review protocol. Reg Anesth Pain Med. 2024;49(6):391–402. doi: 10.1136/rapm-2023-104801 [DOI] [PubMed] [Google Scholar]
  • 28.D’Souza RS, Barrington MJ, Sen A, Mascha EJ, Kelley GA. Systematic reviews and meta-analyses in regional anesthesia and pain medicine (Part II): guidelines for performing the systematic review. Reg Anesth Pain Med. 2024;49(6):403–422. doi: 10.1136/rapm-2023-104802 [DOI] [PubMed] [Google Scholar]
  • 29.Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi: 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
  • 30.Sterne JAC, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919. doi: 10.1136/bmj.i4919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–926. doi: 10.1136/bmj.39489.470347.AD [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shu H, Wang L, Gu L, et al. Effect of virtual reality video psychological intervention on psychological status and coping style in patients with deep second-degree burns. [in Chinese]. Chin J Aesthetic Med. 2025;34(11):75–78. [Google Scholar]
  • 33.He TT, Zhang XH, Kong XL, et al. Effect of virtual reality video-based pre-discharge psychological intervention on the post-discharge emotions of patients with deep facial burns: a prospective randomized controlled study. Chin J Burns. 2021;37(1):70–75. doi: 10.3760/cma.j.cn501120-20191226-00473 [DOI] [PubMed] [Google Scholar]
  • 34.Zhang NN, Chen Y. Effects of virtual reality combined with music on pain intensity, heart rate, and blood pressure during wound dressing changes in patients with burns. [in Chinese]. Nurs J Chin PLA. 2020;37(11):78–81. doi: 10.3969/j.issn.1008-9993.2020.11.020 [DOI] [Google Scholar]
  • 35.Chen JJ, Fu QM. Effect of virtual reality technology on reducing procedural pain during wound dressing changes in adult patients with burns. [in Chinese]. Chin Nurs Res. 2019;33(12):2120–2122. doi: 10.12102/j.issn.1009-6493.2019.12.029 [DOI] [Google Scholar]
  • 36.Yang Q, Sun YQ, Ma BW, Yang LN, Li CB. Application of virtual reality technology for pain management during outpatient dressing changes in children with burns and scalds. [in Chinese]. J Matern Child Health Guide. 2023;2(2):156–158. [Google Scholar]
  • 37.Fu HQ, Zhang YT, Wang WL, et al. Effects of acupoint massage combined with music therapy on pain during burn rehabilitation. [in Chinese]. Zhejiang J Trauma Surg. 2025;30(6):1196–1198. doi: 10.3969/j.issn.1009-7147.2025.06.061 [DOI] [Google Scholar]
  • 38.Yang Y. Effect of music therapy on anxiety and depression in patients with mild to moderate burns. [in Chinese]. J Mod Med Health. 2011;27(6):909–910. [Google Scholar]
  • 39.Najafi Ghezeljeh T, Mohaddes Ardebili F. Comparing the effect of patients preferred music and Swedish massage on anticipatory anxiety in patients with burn injury: randomized controlled clinical trial. Complement Ther Clin Pract. 2018;32:55–60. doi: 10.1016/j.ctcp.2018.05.002 [DOI] [PubMed] [Google Scholar]
  • 40.Whitehead-Pleaux AM, Baryza MJ, Sheridan RL. The effects of music therapy on pediatric patients’ pain and anxiety during donor site dressing change. J Music Ther. 2006;43(2):136–153. doi: 10.1093/jmt/43.2.136 [DOI] [PubMed] [Google Scholar]
  • 41.Fratianne RB, Prensner JD, Huston MJ, Super DM, Yowler CJ, Standley JM. The effect of music-based imagery and musical alternate engagement on the burn debridement process. J Burn Care Rehabil. 2001;22(1):47–53. doi: 10.1097/00004630-200101000-00010 [DOI] [PubMed] [Google Scholar]
  • 42.Görücü R, Öztekin SD, Filinte G. The effect of virtual reality and music on pain, anxiety, and pain-related anxiety in burn patient care. Burns. 2025;51(7):107580. doi: 10.1016/j.burns.2025.107580 [DOI] [PubMed] [Google Scholar]
  • 43.Rohilla L, Agnihotri M, Trehan SK, et al. Effect of music therapy on pain perception, anxiety, and opioid use during dressing change among patients with burns in India: a quasi-experimental, cross-over pilot study. Ostomy Wound Manag. 2018;64(10):40–46. doi: 10.25270/owm.2018.10.4046 [DOI] [PubMed] [Google Scholar]
  • 44.Harandi AA, Esfandani A, Shakibaei F. The effect of hypnotherapy on procedural pain and state anxiety related to physiotherapy in women hospitalized in a burn unit. Contemp Hypn. 2004;21(1):28–34. doi: 10.1002/ch.285 [DOI] [Google Scholar]
  • 45.Wang HY. Effects of virtual reality on serum cortisol levels and pain in children with burns. [in Chinese]. Fujian Med J. 2023;45(1):163–164. [Google Scholar]
  • 46.Yin CH, Chang J. Effects of psychological intervention in children with head and facial burns. [in Chinese]. Guizhou Med J. 2016;40(12):1293–1295. [Google Scholar]
  • 47.Wang Q, Xu S, Guo B, Xu Y, Lu W. Virtual reality as an adjunctive non-pharmacological therapy to reduce pain in school-aged children with burn wounds. J Burn Care Res. 2023;44(4):832–836. doi: 10.1093/jbcr/irac149 [DOI] [PubMed] [Google Scholar]
  • 48.Hoffman HG, Rodriguez RA, Gonzalez M, et al. Immersive virtual reality as an adjunctive non-opioid analgesic for predominantly latin American children with large severe burn wounds during burn wound cleaning in the intensive care unit: a pilot study. Front Hum Neurosci. 2019;13:262. doi: 10.3389/fnhum.2019.00262 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ettenberger M, Maya R, Salgado-Vasco A, et al. The effect of music therapy on background pain, anxiety, depression, vital signs, and medication usage in adult burn patients in the intensive care unit: a randomized controlled trial. Burns. 2025;51(7):107587. doi: 10.1016/j.burns.2025.107587 [DOI] [PubMed] [Google Scholar]
  • 50.Deng Y, Yao Y, Wang C, et al. Effects of dignity therapy on dignity, anxiety, depression and quality of life for people with burns: a randomised controlled trial. J Adv Nurs. 2025;81(5):2722–2738. doi: 10.1111/jan.16466 [DOI] [PubMed] [Google Scholar]

Articles from Journal of Pain Research are provided here courtesy of Dove Press

RESOURCES