Impact of sociodemographic, clinical, and intervention characteristics on pain intensity within a single music therapy session
Samuel N. Rodgers-Melnick, Douglas Gunzler, Thomas E. Love, Siran M. Koroukian, Mark Beno, Jeffery A. Dusek, Johnie Rose

TL;DR
This study found that certain music therapy methods, like singing and relaxation techniques, are more effective at reducing pain during a single session.
Contribution
The study identifies specific music therapy interventions and patient factors linked to significant pain reduction in a single session.
Findings
Recreative and MARI music therapy interventions were associated with higher odds of pain reduction compared to receptive methods.
Longer session durations and higher pre-session pain levels increased the likelihood of significant pain reduction.
Setting a pain management goal for the session was strongly linked to better pain reduction outcomes.
Abstract
Several studies support the efficacy of music therapy (MT) for reducing pain, but few have examined which interventions are most effective or which patients are more likely to respond. This study investigated which sociodemographic, clinical, and intervention characteristics are associated with clinically significant reductions in pain intensity (0–10 numeric rating scale reduction ≥2 units) within a single MT session. We conducted a retrospective review of 2039 MT sessions provided across a large health system among 1203 adult patients reporting pre-session pain ≥4/10, a complete post-session pain score, and a complete pre-session stress score. We employed a multivariable logistic mixed effects model to evaluate binary pain reduction response (≥2 units vs. < 2 units) where patients were considered nested within therapists. The model included a fixed covariate for MT intervention type:…
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Taxonomy
TopicsMusic Therapy and Health · Diverse Music Education Insights
Introduction
Within every medical center, most patients will experience elevated acute pain at some point during their stay.^1^ If this pain is not well-managed, patients may experience significant psychological distress and persistent impairment following hospital discharge, which will ultimately slow their recovery.^2,3^ Therefore, healthcare professionals (HCPs) have a responsibility to address patients’ acute pain, but this is challenging given the risks and adverse events associated with opioids, one of the primary tools HCPs use to address acute pain.^3^ An estimated 50% of chronic opioid use begins within inpatient care,^4^ and there is a high probability of long-term opioid use after as little as five days of opioid treatment.^5^ Given the continued importance of inpatient pain management, the need to minimize opioid exposure, and the directives from accrediting bodies such as the Joint Commission to promote and provide nonpharmacologic pain treatments,^6,7^ many health systems are now making an intentional shift from relying on opioids toward providing evidence-based nonpharmacologic modalities.^2,8^
Music therapy (MT) is one such modality that has demonstrated efficacy for addressing acute pain. MT is the clinical use of tailored music interventions (e.g., active music making, music-assisted relaxation and imagery [MARI], and songwriting) to accomplish individualized goals within a therapeutic relationship by a credentialed professional (i.e., a board-certified music therapist [MT-BC]).^9^ This therapeutic relationship between the MT-BC and the patient makes MT distinct from other music-based interventions such as music medicine where HCPs such as nurses provide patients with recorded music interventions. Several randomized controlled trials (RCTs) support MT’s efficacy for addressing acute pain within populations including oncology,^10^ inpatient palliative care,^11^ and orthopedic surgery.^12^ A 2016 meta-analysis of 97 music-based intervention studies found that MT had a more clinically meaningful effect (−1.50, p <.001) on reducing numeric rating scale (NRS) measures of pain intensity than music medicine (−1.08, p <.001).^13^ Although the mechanisms by which music-based interventions affect pain are still being investigated, several cognitive^14,15^ and neurobiological mechanisms (e.g., modulating descending pain pathway)^16,17^ have been demonstrated in prior studies.
With MT now being integrated within health systems,^18^ recent observational studies have begun evaluating its real-world effects. Several studies support MT’s clinical effectiveness for reducing pain intensity among inpatient populations including hematology/oncology,^19–21^ palliative care,^22^ and individuals reporting moderate-to-severe pain (i.e., ≥4/10 on the 0–10 NRS) within community hospitals.^23^ However, there remain gaps in understanding which patient and MT intervention characteristics are associated with changes in pain intensity. Our prior analysis within community hospitals found that patients receiving an MT session in which the music therapist labeled “pain management” as their therapeutic goal were 4.32 times more likely (95% confidence interval [CI] 2.26, 8.66) to report pain reduction of ≥2 units than patients receiving an MT session in which pain management was not a session goal. However, this study did not examine the effects of specific MT intervention types or control for covariates such as opioid exposure and social drivers of health (SDoH).^23^ Accordingly, to fill this knowledge gap, the purpose of this study was to investigate which sociodemographic, clinical, and intervention characteristics are associated with clinically significant reductions in pain intensity (i.e., NRS reduction ≥2 units) within a single MT session among hospitalized patients. Given recent neuroscientific reports^24^ and our prior work among adults with sickle cell disease (SCD),^25,26^ we hypothesized that compared to purely receptive MT sessions, there would be higher odds of pain reduction ≥2 units within sessions incorporating active (e.g., instrument play, singing) and relaxation/imagery components after accounting for other socio-demographic and clinical characteristics.
Methods
Participants and design
This study is a retrospective electronic health record (EHR) review of individualized MT sessions provided to non-Hispanic (NH) White or NH Black/African American adult patients ≥18 years between August 03, 2020 and July 28, 2023. We limited the sample to individuals coded as NH White or NH Black/African American within the EHR because of limited prevalence (< 1.3%) of individuals from other racial and ethnic groups. To be included within the sample, patients had to report a pre-session NRS pain intensity score ≥4/10, a complete pre-session stress NRS score, and a complete post-session NRS pain intensity score within a single MT session. Sampling was not limited based on patients’ presenting diagnoses.
Setting and care delivery
Music therapists provided MT sessions across ten medical centers within University Hospitals (UH), a non-profit health system in Northeast Ohio serving more than 1.2 million patients per year. MT services within the UH system are provided without cost to patients (i.e., not billed to insurance) and funded through multiple sources including foundation grants, philanthropy, and each hospital’s operating budget. Music therapists are integrated within clinical care and collaborate with other HCPs (e.g., physicians, advanced practice providers, nurses, social workers, chaplains, etc.) to address patients’ symptoms and enhance psychosocial support. Within the UH health system, various HCPs (e.g., physicians, nurses, advanced practice providers) place EHR referrals to address patients’ physical and psychosocial needs including coping, anxiety reduction, pain management, and mood modification, among others.^18^
Following an EHR referral from the medical team, MT-BCs and/or MT interns supervised by MT-BCs (1) conduct comprehensive assessments of patients’ symptoms (i.e., pain, stress, and anxiety rated on the 0–10 NRS), stressors, coping skills, and music preferences; (2) develop MT intervention plans to address patients’ specific needs in collaboration with patients and their families; (3) engage patients in one or more interventions such as active music making, songwriting, and/or MARI where selected music is tailored to patients’ preferences; (4) evaluate patients’ responses to treatment, including post-session symptom ratings on the NRS; and (5) document their sessions within a structured EHR documentation template. This EHR template was refined through a quality improvement initiative^27^ and served as the primary data source for this study. We trained all MT-BCs to use discrete free-text, checkbox, and radio button fields within this structured EHR template to document which MT intervention(s) they provided as well as patients’ reported pain, stress, and anxiety pre- and post-session.^27^
Ethics and permissions
This study was approved by the UH Cleveland Medical Center Institutional Review Board as a retrospective chart review (STUDY20191213) with a waiver of informed consent.
Data collected
We extracted all data from the UH Allscripts EHR and Electronic Data Warehouse (EDW) using multiple structured query language (SQL) scripts. These data included (1) socio-demographic information including age, sex, race/ethnicity, marital status, insurance status, and social vulnerability index (SVI)^28^; (2) clinical characteristics including Elixhauser comorbidity count, receipt of palliative care, and presence of key pain-related diagnoses based on International Classification of Diseases (ICD)-10 codes for SCD, neoplasms, and mental health/substance use disorders (MSUD)^29^; (3) whether or not the patient received opioids within 12 h prior to the MT session; (4) patients’ pre- and post-session ratings of pain, stress, and anxiety on the 0–10 NRS; and (5) MT intervention characteristics including intervention category, length (minutes), the music therapist’s years of experience, and the documented goals of the session.
We summarize the four main MT intervention categories used for analysis in Table 1. Within the structured EHR MT documentation template, music therapists could specify the intervention(s) they provided to patients. From August 2020 to March 2021, we instructed therapists to use specific terms within a free-text field to specify their MT interventions. We monitored these fields regularly to ensure consistent use.^27^ A revised documentation template was implemented in March 2021 and included a multi-select checkbox list rather than a free-text field to improve data consistency. We developed this pre-specified list after reviewing free-text descriptions of over 15,000 MT interventions and consolidating similar interventions under distinct intervention categories.^27^ These categories included (1) live music listening, therapist provides live music without imagery while the patient listens or discusses music; (2) recorded music listening, therapist provides recorded music while patient listens or discusses music; (3) music listening not otherwise specified (NOS), therapist provides music not specified as live or recorded (in the former free-text documentation field) while patient listens or discusses music; (4) active music making, patient engages in making music on any instrument including voice; (5) therapeutic music instruction, therapist provides specific instruction on how to play a musical instrument; (6) music + movement, patient is engaged in directed body movements during music intervention; (7) music-assisted relaxation and imagery (MARI), therapist engages patient with live/recorded music and guided relaxation of any kind (e.g., breathing, guided relaxation, autogenic relaxation, progressive muscle relaxation, imagery); (8) songwriting, therapist assists patient in creating a new song; (9) song dedication, patient creates a song dedicated to a person in their life; (10) song recording, patient records a song that they created; (11) music-assisted life review, therapist uses music to help patient reflect, reminisce, and/or re-examine the past; (12) lyric analysis, therapist engages patient in analyzing specific lyrics of a song; (13) iso-principle, therapist uses musical elements (e.g., tempo/dynamics) to match patient’s current state, and then shift musical elements in the desired direction to effect change.
We then consolidated these 13 intervention types into 4 distinct and mutually exclusive categories as follows: (1) Receptive only, where the music therapist engaged patients with live music listening, recorded music listening, music listening NOS, or lyric analysis, but the patient did not engage in any active music making (e.g., instrument play, singing), composition (i.e., songwriting, song dedication, music-assisted life review, or song recording), or relaxation/imagery techniques; (2) Recreative, where the patient engaged in some instrument play or singing (i.e., active music making, therapeutic music instruction, or music + movement) along with live or recorded music, but no composition techniques (i.e., songwriting, song dedication, music-assisted life review, or song recording); (3) MARI where the patient did not engage in instrument play, singing, or composition, but did engage in relaxation/imagery techniques along with live or recorded music; and (4) Compositional/creative, where the patient engaged in composition (i.e., songwriting, song dedication, music-assisted life review, or song recording), possibly in combination with instrument play, singing, or MARI techniques. These four distinct categories were developed based on definitions from Clements-Cortes^30^ and collaborative discussions with other MT-BCs and MT researchers. We coded MT interventions solely based on discrete data available from EHR documentation rather than individual observations of intervention recordings.
We calculated Elixhauser comorbidities using the “comorbidity” package.^31^ Total opioid exposure was calculated after curating data on oral, intravenous, patch, and patient-controlled analgesia exposures and converting to oral morphine equivalents using guidance from McPherson.^32^ The NRS is a validated and widely-used measure for acute pain intensity.^33^ NRS measures of stress and anxiety have also been widely used within observational studies of inpatient integrative health and medicine (IHM) modalities^23,34–37^ including MT.^21,23,27^
Data analysis
The pain intensity outcome was modeled as a binary variable of (0) pain reduction < 2 units or (1) pain reduction ≥2 units, consistent with our prior research examining predictors of pain response within community hospitals^23^ and prior acupuncture^38^ and MT^39^ studies among patients with cancer where NRS reductions ≥2 units were defined as clinically significant. This binary classification was also better suited toward understanding associations with clinically meaningful pain responses than examining pain intensity as a continuous variable where small (e.g., 0.3 units) but statistically detectable associations would be less meaningful and harder to interpret. We chose model covariates based on their availability within the EHR, associations with pain in previous studies, and their role in examining predictors of pain intensity change in prior studies of inpatient IHM modalities.^23,40^ Specifically, pre-session patient-reported outcome measures were chosen as they have been shown to affect response to IHM modalities in prior studies.^41^ Selected socio-demographic variables were chosen given (1) increased chronic pain prevalence with age^42^; (2) multiple studies have described pain intensity and treatment response differences by sex^41,43^; (3) the history of racial bias among HCPs treating pain, racial disparities in pain management,^44^ and findings from a recent study where Black patients with cancer receiving MT reported higher pre-session pain (4.2 vs. 3.1 on the Edmonton Symptom Assessment Scale) than white patients with cancer receiving MT^20^; (4) the association between marital status and higher pain intensity among female participants undergoing cardiac surgery^45^; and (5) prior research demonstrating associations between neighborhood-level SDoH and higher pain intensity.^46–51^
We selected clinical covariates based on their demonstrated associations with pain intensity in prior studies. Our prior work examining inpatient MT and massage therapy revealed that SCD diagnosis (as compared to other hematology/oncology diagnoses) is associated with higher pre-session pain intensity among adults^21^ and pediatric patients.^52^ Prior studies have also shown that MSUD^53^ diagnoses and increases in Elixhauser comorbidity count^54^ are associated with higher pain intensity. We chose opioid receipt within 12 h prior to the MT session as a covariate to control for the effect of opioids on pain intensity within the MT session. Finally, we selected MT intervention characteristics to understand whether differences in patients’ engagement in MT, increases in session length, therapists’ years of experience (i.e., intern, MT-BC <5 years, or MT-BC ≥5 years based on distance from board-certification date), and documented pain management goal were associated with the outcome.
We examined all covariates for missingness prior to outcome analysis, with all missing data assumed to be missing at random (i.e., probability of missing data depended upon available information from other covariates). Of 2039 MT sessions, 303 (14.9%) had missing values, the most common being pre-session-anxiety (12.8% missing) followed by session length (0.83% missing), SVI (0.78% missing), insurance category (0.69% missing), and Elixhauser comorbidity count (0.05% missing). We performed single imputation procedures using decision tree and predictive mean matching from the “simputation” package.^55^ Descriptive statistics and bivariate analyses including Pearson’s Chi squared for categorical variables and Wilcoxon rank sum tests for continuous variables were conducted using the tbl_summary function from the “gtsummary” package.^56^
We fit a logistic mixed effects regression model (Fig. 1) using the glmer function from the “lme4” package.^57^ Continuous variables were transformed to enable meaningful interpretations of coefficients (i.e., age in 10-year increments, scaled and centered SVI, Elixhauser comorbidity counts in 5-unit increments, and session length in 15-minute increments). Given that some patients appeared in multiple sessions within the sample, the model adjusted for the random effect of patients nested within therapists to control for individual patient- and therapist-level effects. Intraclass correlation coefficients (ICCs) were calculated to examine the level of clustering within the model. We examined model performance (e.g., posterior predictive check, collinearity, uniformity of residuals) using the check_model function from the “performance” package.^58^ All analyses and plots were generated using R Version 4.4.2^59^ and RStudio Version 2024.12.0+467.^60^
Results
Sample characteristics
The final sample included 2039 MT interventions (mean ± standard deviation length: 35.81 ± 14.51 min). These MT interventions detailed in Table 1 primarily addressed goals including, but not limited to pain management (64.2%), coping (41.0%), stress reduction (40.0%), anxiety reduction (35.5%), and relaxation (13.6%). Sessions were delivered by 29 different MT clinicians with years of clinical experience ranging from pre-internship completion (0 years) to 20.2 years (mean years of experience 3.66 ± 3.49 since board certification). Therapists provided sessions to 1203 unique patients (mean age 58.29 ± 17.20 years) who were predominantly female (66.2%) and coded as NH White (67.1%) or NH Black/African American (32.9%) within the EHR. Of these 1203 patients, 879 (73.1%) received just 1 session, and 324 (26.9%) received >1 session within the sample. MT sessions were delivered across 1484 distinct medical center encounters, including 737 (49.7%) academic and 747 (50.3%) community medical center encounters with a median (interquartile range) length of stay of 6 (3–12) days. Of all encounters, 961 (64.8%) included MSUD diagnoses, with the most common being depressive disorders (41.8%), anxiety disorders (40.7%), and trauma- and stressor-related disorders (11.7%). Patients presented to medical centers with various diagnoses (36.0% hematology/oncology including 24.7% neoplasm and 12.9% SCD) and a mean of 5.98 ± 3.29 Elixhauser comorbidities that included uncomplicated hypertension (58.8%), fluid and electrolyte disorders (50.5%), cardiac arrythmias (35.9%), chronic pulmonary disease (35.9%), and obesity (34.9%).
Bivariate analysis
Table 2 presents the bivariate comparison of MT sessions. Compared to sessions in which pain was reduced < 2 units (N = 1131), sessions in which pain was reduced ≥2 units (N = 908) included older patients (mean 55.94 v. 52.67 years, p<.001), a larger proportion of female patients (65.5% v. 60.4%, p=.017), and a smaller proportion of single patients (41.0% v. 48.3%, p=.006) and patients receiving Medicaid (28.7% v. 33.8%, p=.044). These 908 sessions were delivered to patients from neighborhoods with lower SVI (mean 0.62 v. 0.65, p=.014) and patients with a greater number of Elixhauser comorbidities (6.37 v. 5.91, p=.006). SCD diagnosis was less prevalent within this group (10.5% v 16.1%, p<.001), while neoplasm diagnoses were more prevalent (27.6% v. 23.3%, p=.026). These sessions were also longer (37.63 v. 34.35 min, p<.001), documented with a pain management goal at a higher rate (75.2% v. 55.3%, p<.001), and delivered to patients rating higher pain intensity (7.25 v. 6.85, p<.001) and anxiety (4.97 v. 4.58, p=.013) than sessions in which patients reported pain reduction < 2 units. MT intervention category proportion varied between groups (p=.049). No meaningful between-group differences were observed in race/ethnicity, receipt of palliative care, MSUD diagnosis, opioid receipt, or music therapist experience.
Logistic mixed effects model
Table 3 and Fig. 2 present adjusted odds ratios (aOR) and 95% CI from the logistic mixed effects model. The following were associated with increased odds (aOR, [95% CI]) of pain reduction ≥2 units after adjusting for all other covariates: (1) patients’ pre-session pain intensity ratings increasing 1 unit on the NRS (1.19 [1.11, 1.28]); (2) Elixhauser comorbidities count increases of 5 units (1.29 [1.05, 1.60]); (3) recreative (1.37 [1.00, 1.86], p =.047) and MARI (1.48 [1.01, 2.17]) MT interventions as compared to receptive; (4) session length increases of 15 min (1.40 [1.22, 1.61]); and (5) a documented pain management goal (3.58 [2.64, 4.86]). By contrast, the following were associated with decreased odds of pain reduction ≥2 units: (1) male as compared to female sex (0.75 [0.57, 0.99]); (2) having Medicaid as compared to private insurance (0.60 [0.39, 0.90]); and (3) having an SCD diagnosis (0.42 [0.23, 0.76]). The ICC for patients nested within therapists was .216, suggesting that there was variation across clusters and that the two-level nesting structure was appropriate within the model. Model assumptions were met with good performance in posterior predictive checks, uniformity of residuals, and normality of random effects.
Discussion
This study examined which characteristics were associated with clinically significant reductions in pain intensity within a single MT session. Findings suggest that analgesic response may be influenced by certain socio-demographic characteristics, SCD diagnosis, comorbidities, session length, and MT intervention type. This study is the first to compare the effects of different MT interventions using real-world EHR data collected throughout a large health system. Our findings support the unique role MT-BCs provide in engaging patients in singing, instrument play, relaxation, and imagery within music interventions to manage pain. By tailoring interventions to patients’ preferences and abilities, engaging and maintaining patients’ focus on active interventions, and responding to patients’ needs in the moment, MT-BCs provide unique and essential services that go beyond receptive music listening.^25,61,62^ Given the observed effect of increased session length, the time that MT-BCs have to implement these services within medical centers also has a meaningful effect on analgesic response.
The observed effects of various sociodemographic, clinical, and intervention covariates may be explained by factors such as how particular populations perceive the NRS, the influence of stress and SDoH on pain, and the differences in how patients engaged with and responded to active versus receptive interventions. The finding that higher pre-session pain was associated with higher odds of pain reduction ≥2 units is consistent with studies of acupuncture among adults with chronic pain^41^ and veterans with persistently elevated NRS scores.^53^ Mathematically, individuals who rate their pain higher have a greater range within the NRS to respond (floor/ceiling effects). Similarly, the observed relationship between increased Elixhauser comorbidities and pain response is consistent with a cohort study of 12,924 veterans with persistently elevated NRS scores in which higher Selim comorbidity scores were associated with greater likelihood of pain improvement over 12 months (aOR ≥8 vs 0–3 comorbidities: 4.77 [2.19, 7.34]).^53^
Prior studies have demonstrated similar sex-based differences in analgesic response. In a large (N=9990) analysis of 4 German RCTs among patients with chronic low back pain, headache, neck pain, or osteoarthritis,^41^ female sex was associated with higher odds of having a 5-unit improvement on the SF-36 pain subscale. An EHR review of 11, 000 patients who had pain scores recorded as part of routine care uncovered significantly higher self-reported pain in women compared with men across 14 different diagnoses.^63^ Thus, the observed differences in pain response may be related to higher pre-session pain. Historically, women have also been more likely to engage in^64^ and favor IHM modalities^41^ as well as engage in emotion-focused tactics, attentional focus, cognitive reframing, and social support techniques for pain management that share similarities with MT.^43,65,66^ Given the findings of the current study, future studies should consider using mixed-methods clinical trial approaches to further explore differences in analgesic response based on sex and gender.
Our finding that patients with SCD were less likely to report pain reduction ≥2 units is significant given the severity of vaso-occlusive crises^67^ and prior studies supporting MT’s benefits for acute pain in this population.^25^ The SCD pain experience is unique given (1) the positive association between racism-based discrimination in healthcare settings and increased depressive symptoms, insomnia, and daily pain severity^68^; (2) the high frequency of pain crises throughout the lifespan^69^; and (3) the early development of central sensitization^70^ and other chronic pain syndromes within this population. Our prior work demonstrated that individuals with SCD rate their pre-session pain higher (7.22 v. 5.81) than those with other hematologic/oncologic conditions participating in MT.^21^ However, the NRS has significant limitations within this population. A qualitative study conducted with 48 youth with SCD found that the NRS failed to evaluate relational aspects of pain and contributed to misunderstanding and mistrust of the medical system.^71^ In this study, some patients reported a fear that reporting a lower pain score would hasten discharge or delay their next dose of pain medications, while others described how their pain intensity in a given moment may not reflect their expected pain later in a crisis.^71^ Thus, our findings may be explained by the unique ways in which patients with SCD perceive their pain intensity rather than a fundamental propensity to respond less to MT.
Medicaid beneficiaries were less likely to report pain reduction ≥2 units than those with private insurance (aOR 0.60 [0.39, 0.90]). Also, while the CI did include 1, higher SVI was also associated with decreased odds of reporting this response (0.86 [0.74, 1.00], p = 0.051). These findings may be explained by known associations between neighborhood disadvantage, stress, and pain intensity.^46–51^ A cross-sectional study of 673 racially-diverse adults (38% Black, 38% Latino, 24% Asian) with self-reported chronic pain found a positive relationship between stressful life events and pain intensity (β =.20, p<.001).^72^ Increased perceived stress is associated with increased pain intensity,^73, 74^ and prolonged exposure to stress can alter neurobiological pathways (e.g., cortisol secretion, upregulation of pro-inflammatory genes) through which the brain processes pain.^46,48,75^ Therefore, MT-BCs working with patients in moderate-to-severe pain should consider the influence of patients’ stressors and SDoH on analgesic response.
MT interventions in which patients engaged in instrument play and/or singing were more likely to result in clinically meaningful pain reduction than receptive interventions (aOR 1.37 [1.00, 1.86], p=.047). This finding is similar to our prior work among adults with SCD in which a 20-minute electronic music improvisation session with an MT-BC was associated with pain intensity reduction ≥1.25 units (5.12, p=.025), while receptive listening to recorded music did not have the same strength of association (3.63, p=.096). Another study among 236 patients with cancer reporting moderate-to-severe fatigue found that active MT interventions (i.e., singing, instrument playing, writing, and/or movement) were associated with a 0.88-unit greater reduction in fatigue than receptive MT interventions.^76^
From a mechanistic perspective, recreative interventions involve sensorimotor synchronization (e.g., playing an instrument), which may enhance analgesic response.^24^ A recent study among 59 adults exposed to an experimental pain stimulus found that tapping with music (but not simply listening to music) yielded large effects on reducing pain (d=0.93), while tapping without music did not elicit such an effect.^77^ Similarly, in an RCT conducted among 286 adults reporting pain intensity ≥2/10 on the NRS, participants reporting higher levels of active musical engagement experienced greater decreases in pain intensity as compared to those who reported lower levels of active engagement.^78^ Compared to receptive interventions, recreative methods may also enhance cognitive processes (e.g., refocused attention, motivation, self-efficacy, meaning, and enjoyment) that contribute to analgesic response.^14,15^
Results from this study also support the role of guided relaxation, breathwork, and imagery within MT interventions. MARI interventions have demonstrated benefits for reducing pain intensity (difference in means −1.39 [−1.95, −0.83] p<.001) among patients receiving inpatient palliative care^11^ and reducing pain interference (−2.10 ± 4.68, p=0.016) among patients with SCD.^79^ Imagery, whether visual or imagined, can intensify patients’ emotional response to music.^80^ From the perspective of Melzack’s Neuromatrix Theory,^81^ MT-BCs facilitating MARI interventions may specifically modulate the sensory-descriptive dimension of pain through inviting patients to imagine sights, sounds, smells, and textures associated with a peaceful place, take deeper diaphragmatic breaths, or release tension from the body.^82^
Strengths of this study include (1) a large sample size consisting of diverse clinical populations across 10 medical centers where health insurance was not a barrier to receiving MT services; (2) high Black/African American representation as compared to other inpatient IHM studies^8^; (3) a novel approach to using EHR data to measure MT’s real-world effectiveness; (4) collection of NRS measures immediately before and after MT sessions among patients with moderate-to-severe symptoms; and (5) including opioid exposure and SDoH as covariates. Important limitations include the use of single-item NRS measures rather than more comprehensive pain instruments and a broad categorization of MT interventions which may not have captured nuanced aspects of treatment (e.g., therapists’ theoretical orientations, patients’ preferences, and use of specific instruments, tempos, or songwriting techniques). The present analysis is limited to single-session effects rather than longitudinal changes in pain intensity over the course of a hospital admission. This sample of patients referred to MT may not be representative of all U.S. inpatients, as MSUD were far more prevalent (64.8%) than prior national estimates (27.8%).^29^ Additionally, as with many retrospective EHR studies, demographic data were extracted exactly as they were entered into the EHR by HCPs and may not have reflected the gender, racial, and/or ethnic identities of the patients included in this study.^83^
Conclusion
Results of this study suggest that MT interventions involving singing or active instrument play and those involving guided relaxation, imagery, or breathing exercises may be more effective for reducing pain intensity than interventions only involving live or recorded music, especially when MT sessions are longer. Male patients, Medicaid beneficiaries, and patients with SCD may be less likely to report pain reduction ≥2 units following a single MT intervention, while patients reporting higher pain intensity and patients with more comorbidities may be more likely. Additional research is needed to confirm the comparative effects of MT interventions within RCTs, understand longitudinal effects on pain beyond a single session, and evaluate the mechanisms underlying differences in pain response.
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