This narrative review aimed to evaluate the quality and characteristics of digitally delivered mindfulness-based programs (MBP) for cancer patients. It sought to gain a deeper understanding of the similarities and differences in the delivery, components, and success of existing interventions by evaluating the adherence of the program’s components to MBP principles.
Method
In total, six databases (CINAHL, EMBASE, Medline, Web of Science, PubMed, and PsycINFO) were searched from inception to March 2024, and identified papers’ references were reviewed. Two reviewers independently determined article inclusion (original studies, English-language, digital delivery of MBP for adult cancer samples), evaluated adherence to mindfulness principles, and extracted data using a standardized template. Interventions were evaluated for adherence to essential components of MBPs as set out by Crane and colleagues (i.e., program characteristics and facilitator qualifications).
Results
Overall, 35 published papers reporting on the efficacy of 30 unique interventions were reviewed. Ten interventions adhered to MBP principles, while 20 did not. Sample sizes varied across studies. Interventions demonstrated significant differences in their structure (e.g., length, delivery method, teacher-led/self-guided), efficacy-testing methodology (e.g., randomized controlled trial vs. one-armed trial), and intervention description lengths. However, all interventions demonstrated the ability to significantly change at least one mental health-related patient outcome.
Conclusions
Future evaluation studies of MBPs must take greater caution when labeling interventions as mindfulness-based, and greater transparency is required for reporting on intervention content, fidelity to established protocols and MBP principles, and facilitator qualifications. Lastly, intervention recommendations made to cancer patients should consider patient preferences and limitations.
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Cancer is a leading cause of mortality, with an estimated 20 million cases and 9.7 million deaths reported annually worldwide. One in nine men and one in 12 women die from cancer each year, with lung and colorectal cancer causing the most deaths (Bray et al., 2024). Although survival rates have improved (Santucci et al., 2020), the cancer journey remains intimidating and stressful. Uncertainty around prognosis and treatment can leave patients feeling helpless and without control over their disease, day-to-day activities, and life overall (Kvaale et al., 2024). This emotional distress extends beyond diagnosis and treatment into survivorship, with many fearing disease recurrence or spread (Hall et al., 2019). Anxiety and depression often develop early on in the diagnosis and persist for nearly 10 years post-treatment (Harrington et al., 2010; Krebber et al., 2014). Rates of anxiety and depression vary by cancer type and stage of treatment journey, with rates varying from 15 to 49%. For example, depression affects 13% of patients in treatment and 8% post-treatment, while anxiety peaks for ovarian cancer at 27% during treatment compared to 19% pre-treatment (Niedzwiedz et al., 2019). Given these challenges, mindfulness-based programs (MBPs) have gained popularity as promising interventions for improving cancer patients’ mental health (Xunlin et al., 2020).
To better understand how these programs work, it is helpful to first define mindfulness. Mindfulness is “the awareness that emerged through paying attention on purpose, in the present moment, and nonjudgmentally to the unfolding of the experience moment by moment” (Kabat-Zinn, 2003, p. 145). MBPs are designed to help individuals develop mindfulness skills and integrate its practice into their daily life; cultivating mindfulness through experiential practices and exercises such as meditation, body scans, or mindful movements. These interventions aim to teach mindfulness skills to individuals; that is, to achieve cognitive flexibility and break the chain of negative and repetitive thinking patterns (Cullen, 2011; Kabat-Zinn, 2003). This is achieved among individuals by learning to purposefully focus one’s attention and sustain that focus with awareness (i.e., intentional attention); changing the relationship between one’s thoughts and emotions to be non-judgmental; and learning to be aware and view one’s thoughts and emotions more objectively (Crane et al., 2017).
To ensure consistency among MBPs, including adaptations of first-generation programs, Crane et al. (2017) identified key defining elements. These key elements fall into two categories, program elements and facilitator qualifications. The program must (1) be informed by a theory of practice, (2) center on a model of distress, (3) cultivate present-moment focus, (4) enhance self-regulation, and (5) provide sustained, experiential learning with exercises. Facilitators must (1) demonstrate core competencies, (2) embody mindfulness in daily life, (3) complete appropriate training, and (4) foster a participatory learning experience. For a more detailed discussion, we refer readers to some of Crane’s seminal work (Crane et al., 2013, 2017). It is important to note that interventions incorporating mindfulness training, but lacking systematic, consistent instruction in either formal or informal mindful meditation practices cannot be classified as MBPs, but are mindfulness-informed. Examples include Acceptance and Commitment Therapy (Hayes et al., 1999) and Mindful Self-Compassion (Germer & Neff, 2019). This distinction is crucial, as differences between MBPs and mindfulness-informed programs (MIPs) can significantly impact delivery and effectiveness (Crane et al., 2017).
Mindfulness-Based Stress Reduction (MBSR), developed by Jon Kabat-Zinn in 1979, was one of the earliest MBPs tailored for cancer patients (Kabat-Zinn, 2003, 2013). Originally designed to help individuals cope with chronic pain and health issues, MBSR has since been adapted to improve mental health outcomes in cancer patients. The first systematic adaptation, Mindfulness-Based Cancer Recovery (MBCR), was introduced by Speca et al. in 2000 (Carlson et al. 2019b; Speca et al., 2000; Yılmazer & Altinok, 2024). More recent MBSR curricula continue to target fatigue, distress, insomnia, and overall quality of life across various cancer types and stages (Cramer et al., 2012; Ford et al., 2020; Rush & Sharma, 2017; Smith et al., 2005; Zhang et al., 2019). Similarly, Mindfulness-Based Cognitive Therapy (MBCT) (Segal & Teasdale, 2018), originally designed for recurrent depression, has also been adapted for individuals affected by cancer. Overall, first-generation MBP use for cancer patients (i.e., MBSR, MBCT) has accumulated a robust evidence base for improving symptoms of anxiety, depression, distress, fatigue, pain, sleep, anxiety, and overall well-being (Carlson et al., 2023; Ford et al., 2020). As a result, in 2023, the American Society for Clinical Oncology (ASCO) formally endorsed mindfulness-based interventions for anxiety and depression during and post-treatment, citing MBSR as having the strongest evidence (Carlson et al., 2023).
Despite the success of MBPs in improving cancer patients’ well-being, studies highlight the barriers to conventional in-person delivery, including a shortage of trained instructors, financial and geographical limitations, and the logistical burden of attending face-to-face sessions (e.g., competing appointments, caregiver availability, childcare) (Gowin et al., 2020; Kubo et al., 2018). In response, digital platforms—such as internet-based interventions and smartphone apps—have gained popularity, aligning with the broader adoption of digital tools in cancer care (Jongerius et al., 2019; Rosen & Potter, 2018). Digital MBPs can mitigate geographical, logistical, and financial constraints, improve accessibility, standardize content delivery (i.e., presentation of content), and offer more personalized learning through immediate individual-level feedback compared to typical in-person group sessions. However, they also present unique challenges such as maintaining engagement, fostering social connection, ensuring depth of practice, and technological barriers (e.g., stable internet, digital literacy) (Mrazek et al., 2019). Despite these challenges, several MBSR and MBCT programs have been successfully adapted for digital delivery (Badaghi et al., 2023; Bruggeman-Everts et al., 2015; Nissen et al., 2020). Additionally, numerous mindfulness meditation smartphone apps—such as Headspace, Insight Timer, and Calm—are commercially available. Early evaluations suggest that digitally delivered MBPs and mindfulness meditation libraries yield benefits comparable to face-to-face programs for individuals affected by cancer (Compen et al., 2017; Matis et al., 2020).
Although recent systematic reviews have evaluated digitally delivered MBPs for improving overall well-being in cancer patients and survivors (Fan et al., 2023; Fung et al., 2024; Matis et al., 2020), findings remain preliminary in establishing a concrete evidence base for their impact on mental health outcomes. Notably, few reviews have clearly defined what constitutes an MBP, and to our knowledge, none have systematically assessed each intervention’s curriculum to ensure it meets key elements of an MBP—an oversight with significant implications for interpreting findings across diverse interventions. This distinction is particularly important, as the term “mindfulness” has become broadly applied to a range of practices and varying meanings (Kostanski & Hassed, 2008), suggesting that not all interventions labeled as MBPs adhere to the same standards. Additionally, no review has compared interventions across different types such as MBSR, MBCT, or self-guided mindfulness meditation smartphone apps, the latter of which were historically designed as general wellness tools.
Examining the similarities and differences between intervention types—including their adherence to essential MBP elements (Crane et al., 2017) and delivery methods—can provide a more comprehensive understanding of the quality and effectiveness of existing digital MBPs for cancer patients. These insights may also help explain the variability in outcomes reported in previous reviews. To address this limitation, the goal of this hybrid systematic-narrative review was to evaluate the quality of existing digitally delivered MBPs for cancer patients by assessing their adherence to key MBP elements and identifying similarities and differences in intervention delivery and measured patient outcomes. This review applied pre-defined evaluation criteria to ensure consistency and comparability across studies, with no restrictions on publication timeframe.
Method
A hybrid systematic-narrative approach was employed to comprehensively evaluate the adherence of existing digital MBPs for cancer patients on key elements, as well as compare and contrast these interventions in terms of reported content, delivery, and measured outcomes. While prior literature reviews have primarily focused on evaluating the efficacy of MBPs, this narrative review aimed to provide a deeper understanding of their quality, which may help explain the observed heterogeneity in study outcomes (Greenhalgh et al., 2018). This was achieved through a critical analysis and visual interpretation of MBP content descriptions drawn from original research articles. The article retrieval process was conducted systematically to minimize selection biases and detailed search strategies were outlined (Turnbull et al., 2023). Furthermore, this review adhered to PRISMA guidelines, ensuring a rigorous and transparent approach to the literature search (see Supplement 1 for completed PRISMA checklist).
Search Strategy
A systematic search was conducted across six electronic databases: CINAHL, EMBASE (OVID), Medline (OVID), Web of Science, PubMed, and PsycINFO. The review was not registered. Peer-reviewed original research articles on digitally delivered meditation or mindfulness interventions which incorporated mindful meditation were searched from available literature until March 24, 2024. The initial search strategy was developed iteratively based on key concepts from the research questions including “mindfulness” and “meditation”, “cancer patients” and “digital delivery”. Relevant synonyms and related terms were identified from existing literature (e.g., mhealth, ehealth, smartphone, online). Boolean operators (AND, OR) were used to combine terms, ensuring comprehensive coverage while maintaining relevance through an iterative process, guided by the research questions and inclusion criteria.
Inclusion Criteria
Population: Adults diagnosed with cancer, regardless of geographical location or cancer type. Intervention: Digitally delivered meditation or mindfulness intervention, with mindful meditation as a central component to reduce distress, stress, anxiety, and/or depression. This includes: audio recordings, videos, online courses/workshops, online groups, smartphone apps. Article type: Peer-reviewed original research articles including: randomized controlled trials (RCTs), quasi-experimental studies (i.e., one-arm pre-post), and protocol papers. Protocol papers were included in this review, as the main aim was to evaluate interventions for their adherence to essential MBP components.
Exclusion Criteria
Population: Studies that do not report data separately for adult cancer patients and other populations (e.g., chronic pain, caregivers); mixed samples do not allow for targeted conclusions. Intervention: (1) Interventions that did not include mindful meditation as a major component (e.g., yoga, general wellness apps, Tai Chi, ACT, MSC); (2) those targeting health behavior change (e.g., smoking, exercise, weight loss); (3) audio recording delivered through CDs. These were excluded for being mindfulness-informed, not focused on mental health outcomes, or using physical media that do not qualify as digital delivery for the purposes of this review. Article type: Conference abstracts, reviews, opinion pieces/letters/commentaries, dissertations, secondary/qualitative analyses. These were excluded as they do not provide sufficient descriptions of programs that have been evaluated for efficacy, are not peer-reviewed, or expected to change the results of the review (Vickers & Smith, 2000).
Selection Process
A total of 1850 articles were identified and imported into Covidence Systematic Review Software (2024); 872 duplicates were removed. One reviewer completed the initial title and abstract screening of the remaining articles (978), with exclusions reviewed by a second reviewer. Of the 328 studies advancing to full-text review, two independently screened them using the inclusion and exclusion criteria (Fig. 1). When multiple articles reported on the same dataset, only the main outcome publication was included. Any disagreements were resolved by a third reviewer.
A data-charting form adapted from the Joanna Briggs Institute guidelines (Aromataris et al., 2024) was used to extract key data elements such as publication year, study type, location, cancer stage/type, sample size, intervention details, and main outcomes. The template was piloted by two independent reviewers, and categories on intervention content were refined iteratively based on MBP principles and intervention descriptions. A checklist of MBP essential elements (Crane et al., 2017) included the following: (1) citation of program protocol/theoretical framework/description of core mechanisms of change; (2) distress model citation/mechanism of change/rationale for addressing distress; (3) emphasis on present-moment awareness/exercises centered on formal mindfulness practices, integration into everyday life, rumination reduction, guided re-direction of attention; (4) exercises on adaptive responses, interrupting automatic patterns, awareness of internal states; and (5) structured ongoing practice/experiential learning/reflection and integration/progressive mindfulness development. Training was the only facilitator element used to evaluate adherence to MBP elements, as other competencies were challenging to measure; in the absence of a “real-time” facilitation (e.g., pre-recorded videos/audios, self-guided content), facilitator elements were not used to evaluate adherence. Interventions not classified as an MBP based on the above criteria were labeled mindfulness-informed programs (MIPs). Evaluations included a thorough review of intervention descriptions, supplementary material, and cited curricula protocols. Two independent reviewers completed data extraction for the studies. Conflicting votes on a study were settled by a third reviewer. Note, all included studies obtained ethical approval and adhered to informed consent protocols.
Data Analyses
The extracted data were summarized and synthesized, with articles compared to identify unique interventions. A content analysis using manifest coding was performed to examine similarities and differences in intervention type, content, delivery, and patient preferences. Intervention descriptions were initially reviewed by two reviewers and categorized into five types of interventions based on cited protocols and intervention descriptions: MBCT, MBSR, MBCR, Researcher-based interventions (i.e., structured programs developed through cited evidence-based research; RBI), or Digital mindfulness resources (i.e., defined as libraries of mindful meditation audio/video files or self-guided commercial smartphone apps; DMR). A codebook was created through an iterative process to identify four content types: (1) delivery, (2) structure/description, (3) cancer-specific tailoring, and (4) patient attitudes/satisfaction. One reviewer coded each study’s intervention description, with quality checks by two other reviewers. Patterns across intervention types were finalized through discussions, and thematic gaps were addressed with feedback from two additional team members. Finally, articles were compared using content analysis (descriptive statistics, frequency counts) across intervention evaluation methods (e.g., follow-up rates, treatment compliance, scales/measures used).
Results
A total of 35 articles were included in this review. The results of this review have been organized into four domains: (1) assessing interventions as MBPs, (2) intervention delivery, structure and content, (3) cancer patient experiences, (4) review of intervention effectiveness and evaluation methodology.
Characteristics of Included Studies
Table 1 summarizes the study characteristics of the 35 articles included. Overall, 30 unique interventions were identified: 4 MBSR, 6 MBCT, 3 MBCR, 9 RBI, and 8 DMR. The most studied cancer type was breast cancer, followed by gastro-intestinal cancers; see Fig. 2 for a breakdown of studied cancer types across different intervention types (the numbers contained in brackets after each cancer type indicate the total number of participants across the 35 articles). Although interventions were evaluated for their impact across a wide range of symptomatologies, the most commonly evaluated measures of well-being were anxiety (15), quality of life (15), depression (14), sleep (14), distress (12), and fatigue (11). Studies were conducted in the USA (9), followed by China (4), Netherlands (4), Canada (3), Australia (3), and several other countries (Table 1). Lastly, of the 35 studies, 18 were RCTs, 8 were pre-post single-arm design studies, and 9 were protocol papers.
Quality of Life (Quality of Life in Breast Cancer Patients)
Reminder:
No
Cancer-content:
No
Length:
10 days over 2-week period
Scale abbreviations:AQoL 4D, Assessment of Quality of Life; BaSIQs, Basic Scale on Insomnia complaints and Quality of Sleep; BDI, Beck Depression Inventory; BFI, Brief Fatigue Inventory; CESD, Center for Epidemiologic Studies Depression; CIS, Checklist Individual Strength; DASS – 21, Depression, Anxiety, and Stress Scale (A—Anxiety subscale; D—Depression subscale); EORTC-QLQ, European Organization for Research and Treatment of Cancer – Quality of Life; EQ-5D-5L, EuroQol-5D-5L; ESAS, Edmonton Symptom Assessment Scale; FACIT, The Functional Assessment of Chronic Therapy; FACT, Functional Assessment of Cancer Therapy scale; FSI, Fatigue Symptom Inventory; GAD, Generalized Anxiety Disorder scale; HADS, Hospital Anxiety and Depression Scale (A—Anxiety subscale; D—Depression subscale; Total—Distress); ISI, Insomnia Severity Index; MDASI, MD Anderson Symptom Inventory; MOS, Medical Outcomes Short Form; MPN SAF, MPN Symptom Assessment Form; NCCNDT, National Comprehensive Cancer Network’s Distress Thermometer; PHQ, Patient Health Questionnaire; POMS, Profile of Mood States; PROMIS, Patient-Reported Outcomes Measurement Information System; PSQI, Pittsburgh Sleep Quality Index; SF, Short Form-12; STAI, State-Trait Anxiety Inventory (STAI); WHO-5, World Health Organization-Five Well-Being Index; WHO-QOL-BREF, World Health Organization Quality of Life Brief Version
Other table abbreviations: SD, Standard Deviation; MBP, Mindfulness-based Program; MIP, Mindfulness-informed Program; MBCT, Mindfulness-based Cognitive Therapy; MBSR, Mindfulness-based Stress Reduction; MBCT, Mindfulness-based Cancer Recovery; RBI, Researcher-based Intervention; DMR, Digital Mindfulness Resource; NR, Not reported; NA, Not applicable
*Denotes protocol papers
**Denotes measure not included in heatmaps, as outcome was not reported in results
Fig. 2
Cluster diagram showing the types of cancer in each study category
An in-depth review of all 30 interventions (reported across 35 articles) revealed that one third of the interventions had the essential components of an MBP, while the remaining 20 interventions were labeled MIPs (Table 2 reports evaluation criteria outcomes). A greater proportion of first-generation “MBP” interventions met criteria for an MBP (i.e., 62% of MBCTs, MBSRs, and MBCRs vs. 12% of RBIs and DMRs), with most first-generation interventions not meeting criteria for an MBP due to failure to report facilitator training.
Table 2
Evaluation of interventions’ adherence to MBP essential elements
MBSR (n = 4)
MBCT (n = 6)
MBCR (n = 3)
RBI (n = 9)
DMR (n = 8)
Program Elements, n
1. Informed by theory of practice
3
6
3
4
0
2. Center on model of distress
3
6
3
6
4
3. Cultivate present-moment focus
4
6
3
8
8
4. Enhance self-regulation
3
6
3
7
6
5. Participatory learning experience
2
6
3
4
0
Facilitator Elements, n
1. Training certificates
4
5
1
5
1
MBCT, Mindfulness-Based Cognitive Therapy; MBSR, Mindfulness-Based Stress Reduction; MBCT, Mindfulness-Based Cancer Recovery; RBI, Researcher-Based Intervention; DMR, Digital Mindfulness Resource
MBP evaluations varied considerably across RBIs due to variation in reporting of program curricula, discussion of whether the program was informed by theory, and the provision of a sustained learning environment. Three RBI interventions were self-guided, and key components of mindfulness such as present-moment focus, self-regulation, and de-centering were not clearly articulated among some, and most did not appear to provide sustained intensive training in mindfulness via experiential inquiry-based learning. Conversely, all DMRs were classified as MIPs—most being commercial apps (5/8)—all but one were self-guided and none reported a curriculum or protocol. Moreover, half did not contain exercises aimed at: self-regulation, changing one’s relationship to distress, or challenging one’s thoughts.
Intervention Delivery, Structure and Content
Interventions varied in delivery modality, duration (10 days–20 weeks, with 67% lasting 6–8 weeks), and content. The greatest variability in length was observed in DMRs (2–20 weeks) and RBIs (10 days–9 weeks). MBSR, MBCT, and MBCR interventions were all facilitator-led, delivered via real-time online group sessions or pre-recorded audio/video files on secure platforms, often with sequential weekly content unlocking to ensure structured engagement with the program and facilitators. RBIs exhibited greater heterogeneity, consisting of either meditation audio/video files (with or without facilitator guidance), web-based group sessions, or a combination of the two. Some interventions incorporated practice reminders, ranging from personalized calls for low-engagement participants to automated daily notifications. Most DMRs were fully self-guided mobile apps, offering push notifications and practice logs but lacking facilitator guidance or feedback.
MBSR, MBCT, and MBCR interventions largely adhered to established protocols; however, only a brief description of reported content is described here. Interventions identified as MBSR largely followed the program developed by Jon Kabat-Zinn (2013) and contained an introduction of mindfulness, as well as a variety of formal and informal meditative practices such as sitting meditation, mindful eating/walking, body scans, breath awareness, and loving kindness meditation. Most contained informal at-home practice, asked participants to keep a log of their practice, and provided supportive group interactions among participants. Overall, the aim of these interventions was to cultivate non-judgmental awareness of thoughts, emotions, and body sensations. Similarly, studies reporting on MBCR and MBCT interventions contained the same components and aims as MBSR, but were either tailored for cancer populations, or contained the addition of cognitive behavioral components such as reflection and psychoeducation (Segal & Teasdale, 2018), respectively.
RBIs demonstrated greater variation in content and objectives, with most emphasizing the cultivation of present-focused awareness for stress management, while others targeted condition-specific concerns such as sexual health or fear of cancer recurrence. Despite all including guided meditation, only three introduced mindfulness principles prior to the practice of one form of meditation, or multiple spread over different weeks of the intervention such as body scans, breathwork, or sounds. Some combined mindfulness meditation with adjunctive therapies such as music therapy, sexuality reflections, relaxation techniques, and grounding exercises. Notably, only 40% incorporated structured at-home practice, journalling reflectively, or keeping a log of at-home practice. Among DMRs, 70% employed self-guided commercial meditation apps (e.g., Headspace, Calm, 10% Happier), prioritizing psychoeducation on mindfulness with flexible practice options, and access to semi-structured libraries of meditation audio/video files. Despite practice recommendations being made in some studies, none of these interventions provided experiential learning environments, nor required participants to keep practice/reflection logs.
Overall, 43% of interventions incorporated cancer-specific content. With the exception of MBCR, which is specifically designed and adapted for cancer patients (Carlson et al. 2019b), MBCT was the most common intervention type to be adapted for the unique needs of cancer patients (both survivors and those in active treatment). These interventions included psychoeducation for cancer-related fatigue and grief, and adapted movement exercises for specific cancer types. Among MBSR and RBIs, 38% of interventions contained one or more symptom management strategies for cancer-related fatigue, distress, sleep disturbances, pain, sexual health, and difficult emotions. DMRs contained the least cancer-specific content, with only one intervention providing meditation related to cancer and sleep. Overall, details on adaptations for cancer patients were brief and did not allow for further interpretation.
Cancer Patient Experiences
When examining cancer patients’ experiences with the different mindfulness programs utilized, protocol papers were excluded, leaving a final dataset of 26 articles to analyze. In total, 15 of the studies (58%) reported on patient satisfaction or general impressions of the intervention, reasons for discontinued use, or suggestions for improvement, with six reporting more comprehensive qualitative data from open-ended questions or interviews. Overall, participant feedback was largely positive, with 60–100% reporting satisfaction, perceived utility, and ease of use across studies. However, MBSR, MBCT, or RBI participants often found sessions too long or intense and expressed a preference for group settings. Conversely, DMR users valued the flexibility app-based meditation but desired more guidance or engagement.
Review of Intervention Effectiveness and Evaluation Methodologies
To compare the efficacy of 21 interventions (excluding those without outcome data), four heatmaps were generated to illustrate measured vs. significant outcomes across MBP/MIP classifications and intervention types (Fig. 3). Given disparities in study numbers, heatmaps were based on proportions: (1) studies measuring an outcome relative to the total and (2) studies reporting significant effects relative to those measuring the outcome. One study evaluated two interventions separately, resulting in 26 data points from 25 articles (Huberty et al., 2019).
Fig. 3
Heatmaps showing outcomes measured vs. reported significant outcomes across MBP/MIP classified interventions and intervention types
The first set of heatmaps highlights differences in measured vs. significant outcomes across MBP and MIPs. There was little consistency in measured outcomes, with only quality of life and sleep assessed in ≥ 50% of articles in both groups. MBPs proportionally showed greater efficacy in improving quality of life, fatigue, rumination, and mindfulness. However, among MIPs measuring sleep, distress, and mental health, most reported significant effects. It should be noted that only 57% (4/7) MBP studies and 78% (14/18) MIP studies were RCTs.
Two additional heatmaps examined outcomes by intervention type, revealing that distinct well-being measures were used. DMRs were primarily evaluated for effects on anxiety, depression, quality of life, and sleep, while MBCTs were tested for distress, fatigue, quality of life, and mental health. MBSR interventions targeted depression and anxiety, RBIs focused on quality of life, and MBCRs addressed sleep, stress, fatigue, and distress. Regarding significant outcomes, all intervention types demonstrated efficacy in at least one domain. However, MBCT and MBSR showed the broadest impact, particularly on anxiety, quality of life, fatigue, and mindfulness. MBCR interventions also showed promise in reducing fatigue and stress. Conversely, while DMRs were frequently tested for depression and anxiety, they showed greater efficacy in improving sleep and reducing stress. Study design analysis revealed that 75% of MBCT, 33% of MBSR, 100% of MBCR, 83% of RBI, and 67% of DMR studies were RCTs.
To explore heterogeneity in significant findings, studies were compared across four variables: (1) changes in mindfulness (active component of MBPs), (2) compliance rates, (3) follow-up timeframes/rates, and (4) measurement tools. This analysis focused on the six commonly assessed outcomes—anxiety, quality of life, depression, sleep, fatigue, and distress—excluding Russell et al. (2019) which did not report these, yielding 24 articles and 25 datasets.
Only 33% (8/24) of studies reported on change in mindfulness scores, with 63% (5/8) reporting significant changes over time. Studies that reported increased mindfulness also reported greater improvements across multiple outcomes (up to five). Conversely, among those without significant mindfulness improvements, one found no changes in any outcomes, while two showed improvements in only one domain (quality of life or distress). Of the 24 studies, 71% (17/24) reported treatment adherence, with compliance rates varying from 20 to 91%, depending on definitions. The greatest variability was observed in DMRS (20%–73%), while all other interventions reported rates of ≥ 53%. However, no clear patterns linked compliance rates to significant outcomes. Follow-up rates ranged from 10 to 50%, with no clear patterns between intervention type, follow-up completion, and reported outcomes. Additionally, 42% (10/24) assessed outcomes only immediately post intervention, and only six examined sustainability of effects at 6 months or beyond, with follow-up duration not influencing significant outcome reporting. Considerable heterogeneity was observed in assessment tools (Fig. 4). The greatest variation was in quality of life (8 different scales) and fatigue (7 scales), while depression, anxiety, and distress were primarily measured using the Hospital Anxiety and Depression Scale.
Fig. 4
Family of tools used for different outcome measures across studies
This review aimed to evaluate the quality of existing digital MBPs for cancer patients by assessing interventions for key elements and comparing program delivery, content, and reported outcomes, which may contribute to previously reported heterogeneity (Fan et al., 2023; Fung et al., 2024; Matis et al., 2020). Overall, the review uncovered that interventions referred to as MBPs in the literature vary considerably inhow faithful they are to key MBP elements, reported details of the program, well-being outcomes assessed, and how interventions are tested/tailored for different patient outcomes. These variations existed despite purporting to follow the same key principles of mindfulness. In particular, one key finding was that most interventions did not meet the criteria to be classified as an MBP, as per the framework developed by Crane et al. (2017); however, those classified as an MBP showed more promise in significantly impacting patient outcomes. Indeed, studies that evaluated first-generation or older adaptations of MBPs such as MBSR, MBCT, and MBCR were more likely to faithfully follow existing protocols, which may explain why these types of interventions demonstrated the most effectiveness in improving a greater number of patient outcomes (Fig. 3). This highlights the importance of standardized program fidelity in ensuring consistent patient outcomes and suggests that newer or modified MBPs should be tested rigorously for adherence to core mindfulness principles. Various inferences and recommendations can be drawn from our findings.
First, researchers should exert caution when labeling programs specifically as MBPs. Amidst the numerous “mindfulness-based” interventions available and being tested on cancer patients, it is essential for scholarly and patient transparency that interventions labeled as MBPs contain the defining features of an MBP, and further, that such features/definitions be agreed-upon standards. Indeed, intervention validity and integrity have been identified as essential elements of effectiveness studies (Crane et al., 2013; Weck et al., 2011). Only then can interventions be meaningfully compared and assessed for effectiveness. We found that one of the most distinctive features of MBPs identified as missing from most MIPs was the systematic and sustained training in formal and informal meditation practices (Crane et al., 2017); yet previous reviews have lumped those with and without this key ingredient in analyses (Fan et al., 2023; Fung et al., 2024; Matis et al., 2020). This oversight may explain some of the heterogeneity in treatment effects reported in systematic reviews conducted to date.
Second is the need for greater transparency among researchers in reporting the theory of practice underpinning the intervention, delivered content, and the overall aims of the program. Indeed, this review may be more of a critique on the reporting of interventions, rather than on the interventions themselves. For example, most of the MBSR, MBCT, and MBCR interventions grouped as an MIP were classified on the premise of researchers not reporting on the training and core competencies of the therapist delivering the intervention. In addition, great variability was found in the reporting of intervention details among RBIs and DMRs, with many lacking clear descriptions of curricula, theoretical foundations, and key mindfulness-based components such as developing self-regulation, compassion, and equanimity. Future efficacy studies and protocol papers on MBPs for cancer patients should provide more comprehensive details on the intervention and facilitator competencies/training, particularly for novel interventions that are a mix of existing interventions or combinations of traditional MBPs and other therapies (e.g., music therapy, grounding). We refer researchers to the seminal work by Crane et al. (2017) on what defines an MBP for reporting guidance, as well as the work that has been conducted on assessing facilitators of MBPs (Crane et al., 2013). In addition, the integration of the Treatment Fidelity Tool for Mindfulness Based Interventions checklist is also recommended to ensure findings are valid and reliable (Kechter et al., 2019). Doing so will enable future research to systematically evaluate and ascertain the quality of interventions and competencies of facilitators, allowing for higher quality systematic reviews and meta-analyses of MBPs in general.
Third, all intervention types, regardless of MBP/MIP classification, reporting comprehensiveness, and efficacy methodology, demonstrated some promise for improving one or more patient outcome(s). This is in line with previously reported literature (Fan et al., 2023; Fung et al., 2024; Matis et al., 2020) and current recommendations that MBPs be provided to cancer patients for anxiety and depression (Carlson et al., 2023). However, coupled with our findings that patient experiences can vary across intervention types, interventions should be recommended to cancer patients based on treatment goals, patient preferences, and feasibility of time commitments. For example, MBSR, MBCT, and MBCR interventions may be more suited to patients who can accommodate 1.5–2 hr weekly sessions with a facilitator and are able to engage in a more intense intervention, with MBSRs and MBCRs being more appropriate for those who prefer a group setting. Indeed, previous literature has demonstrated that emotional readiness is important to consider when engaging a cancer patient in an MBSR intervention (Bisseling et al., 2017). In contrast, DMRs may be a more feasible option for patients who prefer flexible, self-guided interventions that can be completed at one’s own pace, or in circumstances when access to a facilitator/mindfulness teacher is limited; however, we suggest that some guidance be provided for such interventions. Alternatively, interventions can be staggered, where patients hesitant to learn mindfulness can begin with a DMR intervention and progress to a more traditional MBP such as MBCT, MBSR, or MBCR depending on preference and treatment goals. When making recommendations for MBPs, clinicians should weigh the pros and cons of different intervention types to optimize patient outcomes and satisfaction.
Regarding intervention content and delivery, this review revealed a general trend toward self-guided interventions being the most commonly evaluated MIPs, particularly within the last 5 years. This may reflect a general shift toward a proclivity for mobile health apps (Melhem et al., 2023), or self-guided interventions, completed at one’s own pace (Baker-Glenn et al., 2011; Ugalde et al., 2017). Alternatively, it may be that self-guided interventions are easier to disseminate, as well as collect usage data and treatment compliance, ensuring a more standardized experience for users and a more straightforward evaluation. More importantly, preliminary evidence suggests that individuals who participate in self-guided mindfulness programs can cultivate mindfulness, challenging the common assumption that facilitator engagement is essential. However, it is important to note that these results are preliminary and may not apply to clinical populations, such as cancer patients, who may face greater challenges in engagement, adherence, and long-term effectiveness in self-guided programs. Future research should explore this further. Nonetheless, this begs the question, should existing definitions of what constitutes an MBP be updated to include self-guided interventions that otherwise fulfill most program requirements of an MBP, or should a framework for mindfulness-based self-guided programs (MB-SGP) be developed? Future research should investigate the efficacy and potential benefits of MB-SGPs compared to traditional MBPs, to ensure that the former maintain the integrity and therapeutic value associated with mindfulness practices, which would be beneficial for cancer patients. Despite existing literature demonstrating cancer patients’ preferences for more cancer-content in mind–body therapies, cancer-related content remains an unmet need in many programs (Huberty et al., 2022a, 2022b). Lastly, in examining the methodologies and measures used to evaluate interventions’ efficacy, most studies did not measure change in mindfulness over time, despite the primary aim of MBPs being to cultivate and enhance mindfulness. Only 33% of studies employed a measure of mindfulness, leaving several studies undetermined on whether the intervention was effective in its aims or what the moderators or meditators of successful vs. unsuccessful interventions were. Future MBP efficacy studies with cancer patients are encouraged to include measures of mindfulness, as well as measures of acceptance, awareness, and engagement in mindfulness meditation, as they have been found to be the main active ingredients of these programs (Lindsay et al., 2018; Stein & Witkiewitz, 2020). Additionally, discrepancies were also found in how researchers defined and measured compliance rates/treatment completion, as well as patient satisfaction/experience with the intervention. Overall, treatment compliance rates greatly varied across studies, as some measured time spent on app/number of logins, others defined completion as attending 70% of sessions or more, whereas others simply removed non-treatment completers from their analyses. Regardless of how researchers define compliance, adherence, or treatment completion, future researchers are encouraged to consider these measures when evaluating the feasibility and acceptability of MBPs. Sustained changes in patient outcomes should be given more attention in the literature, as only 25% of articles in this review measured patient outcomes at or beyond 6 months.
Although this review provides clear recommendations for future research in MBPs for cancer patients, results should be interpreted with some caution. The following limitations of this hybrid systematic-narrative review are important to consider when interpreting the findings. Most studies examined were not RCTs—particularly the MBP interventions, which were predominately one-arm pre-post designs. This may have impacted the accuracy of reported outcomes, potentially leading to the overestimating or underestimation of effectiveness in these studies. Additionally, this narrative review combined RCT results with those of pre-post single-arm design studies due to scarcity of research, suggesting that future studies on MBPs and MIPs should prioritize RCTs. This limitation reduces the generalizability of the findings and may confound conclusions about the effectiveness of MBPs and MIPs. Furthermore, comparisons between MBP and MIPs are preliminary, given the disproportionate number of RCTs to one-armed studies, as well as the larger proportion of MBP articles (one-third vs. two-thirds for MIPs). Finally, the heterogeneity of scales used to measure patient outcomes made meaningful comparisons challenging. Future research should evaluate the validity of these scales and recommend which tools are most appropriate for measuring depression, anxiety, distress, sleep, fatigue, and quality of life.
Limitations and Future Research
This study provided a comprehensive evaluation of various digital MBPs for cancer patients, examining differences in delivery methods, components, and success rates. In comparing the 35 articles identified for the review, we found that MBP interventions within the literature are substantially different in their creation, aims, and evaluations. Overall, the majority of interventions did not adhere to key MBP elements, which combined with other findings suggests that adherence to established protocols is key to effective MBPs. In addition, self-guided MBPs also show promise for cancer patients, and MBP frameworks should consider defining specific criteria for non-facilitator-led interventions. The key takeaway recommendations of this review for researchers engaging in MBP intervention studies and clinicians recommending them are the following: (1) exercising greater caution when labeling interventions as MBPs to ensure conceptual clarity, (2) improving transparency and consistency in reporting intervention content and features (as guided by Crane et al., 2017), and (3) actively involving cancer patients in discussions about preferences and limitations to inform practical and patient-centered treatment recommendations for different types of MBPs. Overall, more attention should be placed on evaluating the active ingredients of MBPs, as well as factors that may highly impact patient outcomes, such as compliance rates, patient experiences, and the ability of interventions to have lasting impacts. Future research on digital MBPs should thus foreground transparency, effectiveness, and reliability—elements that will result in a more rigorous approach to fulfilling the unmet psychosocial needs of cancer patients. This is particularly important post COVID-19, as more individuals are turning to digital interventions for well-being (Cantini et al., 2020).
Declarations
Ethics Approval
IRB approval was not solicited for this manuscript, as the study did not involve the participation of any humans or animals.
Informed Consent
Not applicable (see above).
Conflict of interest
The authors declare no competing interests.
Use of Artificial Intelligence
No AI has been used in the preparation of this manuscript.
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