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. 2025 Nov 3;25:1534. doi: 10.1186/s12909-025-08072-z

Balint groups for improving the ability of doctors and medical students to manage the doctor–patient relationship: a systematic review, quantitative meta-analysis and qualitative meta-synthesis of intervention studies

Luxinyi Xu 1,#, Xiaomei Cui 1,#, Yu Wang 1, Chuanchuan He 1, Lijun Dong 1, Dongmei Li 1, Yinglong Li 1, Yuan Yao 1, Liqin Shan 1,, Zhengfen Xu 1,
PMCID: PMC12581237  PMID: 41184853

Abstract

Objective

Balint groups are a crucial method for improving the relationship between medical students/doctors and patients. Nevertheless, no review has examined the effects of Balint groups in this regard. This study aimed to conduct quantitative meta-analyses and qualitative meta-syntheses based on a systematic review to provide references for improving doctor‒patient relationships.

Methods

We searched six databases from inception through October 2024. Two reviewers independently conducted screening and quality assessment. Quantitative data were analyzed using meta-analysis methods with standard mean differences (SMDs) and 95% confidence intervals (CI) in RevMan 5.4.1, while qualitative results were summarized using meta-synthesis methods.

Results

A total of 56 studies were included, including 45 quantitative studies and 11 qualitative studies. Two, fifty-one, and three studies were rated as having a low risk of bias, unclear risk or some concerns, and high risk of bias, respectively. Thirteen quantitative studies were included in the meta-analyses. Compared with those in the control group, participants in the Balint group had higher communication scores and empathy scores and lower anxiety scores (SMD = 1.26, 95% CI 0.97 to 1.56, I2 = 0%, five studies; SMD = 2.40, 95% CI 1.31 to 3.49, I2 = 96%, six studies; SMD = -0.79, 95% CI -1.39 to -0.19, I2 = 71%, three studies). Participants who received the Balint intervention had significantly lower burnout scores in emotional exhaustion and reduced personal accomplishment among healthcare workers post-intervention compared with pre-intervention (SMD = -1.62, 95% CI -3.21 to -0.03, I2 = 88%, three studies; SMD = -1.22, 95% CI -2.26 to -0.17, I2 = 74%, three studies), while no significant change was saw in cynicism (SMD = -0.90, 95%, CI -1.91 to 0.10, I2 = 75%, three studies). The meta-synthesis results of 11 qualitative studies show that Balint groups have a positive effect on doctors’ doctor–patient communication, empathy, psychological adjustment, and team cooperation abilities.

Conclusion

Balint groups may contribute to improving doctor‒patient relationships. We suggest caution and advocate for multicenter large-sample randomized controlled trials with low risk-of-bias design to avoid evidence bias.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12909-025-08072-z.

Keywords: Balint groups, Doctor–patient relationship, Systematic review, Meta-analysis, Meta-synthesis

Introduction

Conflict between physicians and patients is a serious problem that affects society, the government, patients, and doctors. China still lacks medical resources to meet the growing health demands [1]. It may be difficult for physicians and patients to establish a harmonious relationship; sometimes, even quarrels and violent incidents occur. The root cause lies in the physician–patient mistrust and knowledge asymmetry [2].

How to restore doctor–patient trust is a significant issue in the present healthcare reform. Researchers are increasingly focusing on the doctor‒patient relationship, with Balint groups being one of the most prominent methods used today. The Balint group was developed by psychiatrist Michael Balint and his wife Enid Balint in the 1950s. Over twenty countries, including China, have established Balint associations to address doctor‒patient conflicts [3, 4]. Through case discussions, this method can help physicians view cases from various angles, better empathize with patients, enhance communication and self-reflection abilities, and alleviate the negative emotions in their medical work [57].

No researchers have yet to systematically evaluate the role of Balint groups in improving doctor–patient relationships. Therefore, on the basis of a systematic review of the relevant studies, we conducted meta-analyses and meta-syntheses of quantitative and qualitative results, respectively. This paper summarizes the studies on the effects of Balint groups on improving doctor–patient relationships among doctors or medical students. Our findings could provide references for improving doctors’ ability to communicate with their patients, the mental health of doctors, and doctor–patient relationships.

Methods

We reported our review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [8]. This study is not registered in PROSPERO.

Search strategy

Our searches were conducted on 25/10/2024 in PubMed, EMBASE, the Cochrane Library, the China National Knowledge Infrastructure (CNKI), WanFang, and the China Science and Technology Journal Database (CSTJ) (from inception through October 2024). We used Boolean operators (‘AND’ and ‘OR’) to combine both MeSH terms and free text (including Balint, Balint group, Balint therapy, doctor‒patient interaction, physician‒patient interaction, doctor‒patient communication, and physician‒patient communication, etc.) (see Supplementary Appendix 1 for detailed search strategies). Only full-text articles in English or Chinese were included. Duplicate records were excluded.

Study selection and eligibility criteria

Two reviewers (L.X. and X.C.) independently screened the title, abstract and full text of studies. In case of disagreement, the final decision was made in consultation with a third reviewer (Z.X.). Studies were screened using Noteexpress.

To be included, studies had to meet the following criteria under the Population, Intervention, Comparison, Outcome, and Study type (PICOS) principle:

  • Population: The target population was clinicians, resident doctors, or clinical medical students. If the intervention population includes individuals other than the aforementioned groups, this article should be included. The article should be excluded if the intervention study only includes nurses, patients, or other individuals.

  • Intervention: This study focused on Balint groups. Therefore, studies on any intervention that uses Balint groups were included, regardless of whether other effective intervention measures were combined or not. Studies that did not use the Balint group for intervention were excluded.

  • Comparison: Studies including a blank control group, placebo, or other effective intervention. Single-arm studies with pre-post designs without control groups were also included.

  • Outcomes: For quantitative studies, any indicators related to doctor‒patient interactions, such as doctor‒patient communication ability, empathy, anxiety, depression, and coping style, were included; for qualitative research, structured or unstructured interviews and qualitative analysis were included. Studies without reported results directly or indirectly related to the doctor‒patient relationship and those without reporting key outcome data were excluded.

  • Study type: Interventional studies, including randomized controlled trials (RCTs), cluster randomized trials, crossover trials, and single-arm trials with pre-post designs were included. Non-experimental research designs (i.e., cross sectional studies, cohort studies), reviews, abstracts, and conference articles were excluded.

Data abstraction

Two reviewers (L.X. and X.C.) extracted the data independently, and any disagreements were resolved by discussing the data and consulting with a third reviewer (Z.X.). We collected the following information from each study: (a) first author; (b) year of publication; (c) research object; (d) sample size; (e) sampling and grouping methods; (f) intervention design (method, frequency, and duration); (g) outcome evaluation method (index, time point); (h) outcome data: for quantitative studies, averages and standard deviations were collected; for qualitative research, verbatims described by the interviewees and texts in the qualitative analysis regarding the effect of Balint groups were extracted.

Quality assessment

The same two reviewers (L.X. and X.C.) independently rated the risk of bias of each study for every domain, The “overall” risk was rated as “high risk”, “some concerns”, or “low risk”, concerning the randomization process, allocation concealment, blinding, measurement, attrition, selective reporting, and other types of bias. Version 2 of the Cochrane Risk of Bias Tool (RoB 2) [9] was used to assess randomized controlled trials, cluster randomized trials, crossover trials. The adapted Newcastle‒Ottawa Scale (NOS) [10] was used for single-arm trials. To make the quality assessment of single-arm trials with pre-post designs more suitable, we removed the questions about the control group and one of the entries used to assess the outcome of the NOS. All discrepancies were discussed with a third reviewer (Z.X.) until a consensus was reached.

Statistical analysis

Based on the nature of the outcome measures (quantitative or qualitative), we classified the included studies into quantitative and qualitative studies.

For quantitative studies, i.e., studies using quantitative data, we performed a meta-analysis when data from at least three studies with the same outcome variables were available. Data from the reports with the longest interventions were used for meta-analyses. We calculated standardized mean differences (SMDs) complemented by 95% confidence intervals (CI) for continuous outcomes, with α = 0.05 as the significance level. SMD is calculated by dividing the pooled mean difference by the standard deviation, which can be used to compare studies that measure outcomes using different scales [11]. The values of SMD and its upper and lower limits of 95% CI all > 0 or < 0 indicate that the effect value of the experimental group/post-intervention is statistically different from that of the control group/pre-intervention. Heterogeneity was quantified by the χ2 test. When I2 was < 50%, the heterogeneity was considered acceptable, and the fixed effects model was used for the meta-analysis. When I2 was ≥ 50%, the heterogeneity was considered significant, and the random effects model was used for analysis. When I2 was > 80%, subgroup analyses were performed to explore sources of heterogeneity. The grouping criteria (including participants, language, region, intervention measures, and risk of bias, if possible) were determined based on the included studies. Sensitivity analyses were conducted by omitting each study separately to examine the impact of each study on the overall results. Publication bias was explored by observing the funnel plot. The quality of the evidence of this study was evaluated by the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) using GRADEpro (https://www.gradepro.org/). Statistical analyses were performed in RevMan 5.4.1.

For qualitative studies, i.e., studies using interviews or qualitative analysis, we performed qualitative meta-syntheses. The aggregative synthesis method of the Joanna Briggs Institute (JBI) Evidence-based health care center was applied to summarize the included contents (results) one by one into sub-themes (categories) and themes (integration results). Based on carefully reading the full text, we extracted the original texts related to the direct or indirect role of the Balint group in improving the doctor‒patient relationship and formed results one by one, then summarized similar results as sub-themes and finally integrated them into themes.

Results

Study selection

Among the 736 records identified from the databases, 56 studies were included (Fig. 1). Of these studies, 37 were published in Chinese, and 19 were published in English.

Fig. 1.

Fig. 1

PRISMA flow chart of study identification and screening

Study characteristics

Tables 1 and 2 show the characteristics of the studies included in the systematic review, whereas Table 3 lists the outcome measurement methods used in each study.

Table 1.

Characteristics of studies included in the systematic review (controlled studies)

Study ID Country Study design Sample size Population Study arms Implementation frequency, times of Balint Study duration (months) Risk of bias
Experimental group Control group
[12] China RCT 24 Clinical medical students Balint group None Once every two weeks, 10 5 some concerns
[13] China RCT 60 Clinical medical students Balint group None Weekly, 20 5 some concerns
[14] China RCT 20 Resident doctors Balint group None Once every two weeks, 8 4 some concerns
[15] China RCT 120 Clinical medical students Balint group None Weekly, 4 1 some concerns
[16] China RCT 60 Resident doctors Balint group None Once or twice every week, 4 Not reported some concerns
[17] China RCT 74 Resident doctors Miller pyramid theory + Balint group None Once every two weeks, not reported Not reported some concerns
[18] China RCT 39 Clinical medical students Balint group Consolation control group: propaganda and education; Blank control group: none Weekly, 8 2 some concerns
[7] France RCT 362 Clinical medical students Group 1: Balint group Group 2: narrative medicine; Group 3: none Weekly, 7 3 low risk
[19] China RCT 120 Physicians, nurses Balint group + Music therapy Music therapy Weekly, 4 1 some concerns
[20] China RCT 16 Resident doctors Balint group Exercise prescription intervention Once every two weeks, 6 3 some concerns
[21] China RCT 60 Physicians, nurses Balint group None Once every two months, 12 24 some concerns
[22] China RCT 36 Physicians, nurses Balint group Consolation control group: network psychological self-help intervention; Blank control group: none Weekly, 6 1.5 some concerns
[23] USA RCT 14 Resident doctors Balint group + Behavioral health curriculum Behavioral health curriculum Once every two weeks, 18 9 some concerns
[24] USA RCT 16 Resident doctors Balint group None Once every two weeks, 12 6 some concerns
[25] China RCT 90 Clinical medical students Group 1: Balint group Group 2: publicity and education; Group 3: doctor–patient relationship learning Once every two weeks, 12 6 some concerns
[26] China RCT 60 Clinical medical students Balint group None Monthly, 6 6 some concerns
[27] UK RCT 30 Clinical medical students Group 1: Balint group Group 2: psychotherapy program; Group 3: none Weekly, 12 3 some concerns
[28] China RCT 20 Physicians Balint group None Not reported Not reported some concerns
[29] Israel RCT 34 Physicians a breaking bad news (BBN) training program Balint group Not reported Not reported high risk
[30] China RCT 36 Resident doctors Balint group None Not reported, 10 6 some concerns
[31] France RCT 163 Clinical medical students Balint group None Weekly, 10 5 some concerns
[32] France RCT 299 Clinical medical students Balint group None Weekly, 7 over 2 months low risk
[33] China RCT 30 Clinical medical students Balint group None Weekly, 10 2.5 some concerns
[34] China RCT 40 Resident doctors Balint group None Once every week or every two weeks, not reported 4.5 some concerns
[35] China RCT 60 Resident doctors Balint group + Doctor–patient communication course Doctor–patient communication course Not reported,2 Not reported some concerns
[36] China Cluster 56 Resident doctors Balint group None Twice every week, 8 4 high risk
[37] China Cluster 58 Clinical medical students Balint group + Doctor–patient relationship learning Doctor–patient relationship learning Not reported, 4 Not reported some concerns
[38] USA Crossover 28 Clinical medical students Balint group (in the first 6 months) Balint group (in the next 6 months) Once every two weeks, 12 6 some concerns

Table 2.

Characteristics of studies included in the systematic review (single-arm studies)

Study ID Country Study design Sample size Population Intervention Implementation frequency, times of Balint Study duration (months) Risk of bias
[39] China Single-arm 155 Clinical medical students Balint group Weekly, 20 5 unclear
[40] China Single-arm 75 Resident doctors Balint group Once every two weeks, 6 3 unclear
[41] China Single-arm 30 Physicians Balint group Weekly, not reported 6 unclear
[42] China Single-arm 20 Physicians, nurses Balint group Once every two weeks, 8 4 unclear
[43] China Single-arm 76 Resident doctors Balint group Not reported Not reported unclear
[44] China Single-arm 35 Physicians, nurses Balint group Once every two weeks, 6 3 unclear
[45] China Single-arm 54 Physicians, nurses Balint group Weekly, 6 1.5 high
[46] China Single-arm 30 Clinical medical students Balint group Once or twice every two months, not reported Not reported unclear
[47] China Single-arm 104 Clinical medical students Balint group Not reported Not reported unclear
[48] UK Single-arm 16 Clinical medical students Balint group Weekly, 5 1.25 unclear
[49] China Single-arm 68 Clinical medical students Balint group Not reported, 3 Not reported unclear
[50] Australia Single-arm 20 Clinical medical students Balint group Weekly, 6 1.5 unclear
[51] Australia Single-arm 42 Clinical medical students Balint group Not reported Not reported unclear
[52] Netherlands Single-arm 22 Physicians Balint group Not reported Not reported unclear
[53] China Single-arm 18 Resident doctors Balint group Monthly, 26 (12 times per person) 12 unclear
[54] China Single-arm 20 Resident doctors Balint group + Figure sculpture Not reported, 16 Not reported unclear
[55] China Single-arm 54 Resident doctors Balint group Once every two weeks, 30 (5–6 times per person) 3 unclear
[56] China Single-arm 136 Physicians, nurses Balint group Monthly, 17 Not reported unclear
[57] China Single-arm 160 Physicians, nurses Balint group Not reported Not reported unclear
[58] Singapore Single-arm 26 Physicians Balint group (online) Not reported Not reported unclear
[59] China Single-arm 13 Clinical medical students Balint group Weekly, 6 3 unclear
[60] Finland Single-arm 9 Clinical medical students Balint group Weekly, ‘five people group’ 10 times per person, ‘four people group’ 5 times per person Not reported unclear
[61] New Zeland Single-arm 6 Clinical medical students Balint group Weekly, 6 1.5 unclear
[62] China Single-arm 30 Physicians, nurses, medical technicians Balint group Monthly, 6 times per person 11 unclear
[63] USA Single-arm 18 Resident doctors Balint group Weekly, 24 6 unclear
[64] China Single-arm 30 Physicians Balint group Not reported, 10 12 unclear
[65] China Single-arm 55 Physicians, clinical medical students Balint group Not reported, 10 Not reported unclear
[66] USA Single-arm 55 Resident doctors Balint group Not reported 12 high

Table 3.

Outcome measurement of the included studies

No Outcome measurement Study ID Number of studies
1 Other self-designed questionnaires [16, 17, 2529, 31, 34, 35, 43, 4858] 22
2 SEGUE (Set Elicit Give Understand End framework) [1217, 35, 36, 39, 40, 43] 11
3 Jefferson’s Empathy Scale [7, 1214, 18, 32, 35, 37, 43, 66] 10
4 Interview [24, 5663] 9
5 Maslach Burnout Inventory General Survey (MBI-GS), Maslach Burnout Inventory-Human Services Survey (MBI-HSS) [21, 30, 4143, 66] 6
6 Self-rating Anxiety Scale (SAS) [19, 21, 22, 42, 44] 5
7 Self-rating Depression Scale (SDS) [2022, 42, 44] 5
8 Coping Strategy Questionnaire (CSQ) [21, 22, 37, 44, 45] 5
9 Psychological Medicine Inventory (PMI) [23, 24, 66] 3
10 Liverpool Communication Skills Assessment Scale (LCSAS) [15, 46] 2
11 Interpersonal Trust Scale (ITS) [33, 46] 2
12 Qualitative analysis of the discussion content [64, 65] 2
13 Doctor–patient Communication Quality Evaluation Scale [15] 1
14 Pittsburgh Sleep Quality Index (PSQI) [22] 1
15 Emotional Intelligence Scale (EIS) [37] 1
16 Physician’s Belief Scale [38] 1
17 General Well-Being Schedule Scale (GWB) [44] 1
18 Symptom Checklist 90 (SCL-90) [44] 1
19 Clinical Communication skills Scale [45] 1
20 Sense of Security Questionnaire (SQ) [46] 1
21 Communication Skills Attitude Scale (CSAS) [47] 1
22 Minnesota Satisfaction Questionnaire (MSQ) [30] 1
23 Interpersonal reactivity index (IRI) [31] 1
24 Consultation And Relational Empathy Measure (CARE) [32] 1
25 College Students’ Empathy Ability questionnaire [33] 1

A total of 56 studies involving 3364 healthcare workers were included. Of these included studies, 28 were single-arm trials, 25 were RCTs, 2 were cluster randomized trials, and 1 was a crossover trial. China had the most studies (n = 39), followed by the United States (n = 5) and France (n = 3). Twenty-three studies included clinical medical students, 16 included physicians or medical personnel (including physicians), and 17 included resident doctors. The majority of the included studies used self-designed questionnaires (n = 22) as the assessment tool, followed by interviews or qualitative analysis of the discussion content (n = 11) and the SEGUE scale (n = 11).

Risk of bias

The risk of bias in the included studies was low for two studies, high for three studies, and unclear or concerning for the remainder (Table 1 and Table 2). Details can be found in Supplementary Appendix 2.

Meta-analysis

In this study, a total of 13 quantitative studies were included in the meta-analyses.

SEGUE score (communication score)

The crude meta-analysis result showed that the SEGUE score was significantly higher in the Balint group compared with the control group (SMD = 2.31, 95% CI 1.29 to 3.33, I2 = 93%) (Fig. 2). Considering the co-interventions in two studies [17, 35], the analysis was conducted to separate these two studies from the others. The results showed that the SEGUE score in the Balint-only group was significantly higher than those in the placebo (SMD = 1.26, 95% CI 0.97 to 1.56, I2 = 0%) (Fig. 3).

Fig. 2.

Fig. 2

Effect of Balint groups including co-interventions SEGUE score. The comparative result of IV Inverse variance, random effects meta-analysis between the Balint group and control group. SD Standard deviation, CI Confidence interval

Fig. 3.

Fig. 3

Effect of Balint-only groups on SEGUE score. The comparative result of IV Inverse variance, fixed effects meta-analysis between the Balint group and control group. SD Standard deviation, CI Confidence interval

Empathy score

Figure 3 shows that the Balint group had a favorable effect on the empathy score (SMD = 2.40, 95%, CI 1.31 to 3.49, I2 = 96%) (Fig. 4).

Fig. 4.

Fig. 4

Effect of Balint groups on empathy score. The comparative result of IV Inverse variance, random effects meta-analysis between the Balint group and control group. SD Standard deviation, CI Confidence interval

SAS score (anxiety score)

Compared with the control group, the Balint group had a significant decrease in the SAS score (SMD = −0.79, 95% CI −1.39 to −0.19, I2 = 71%) (Fig. 5).

Fig. 5.

Fig. 5

Effect of Balint groups on SAS score. The comparative result of IV Inverse variance, random effects meta-analysis between the Balint group and control group. SD Standard deviation, CI Confidence interval

MBI-GS score (burnout score)

The meta-analysis results of single-arm trials showed the Balint group had a significant decrease in the MBI-GS score of emotional exhaustion and reduced personal accomplishment among healthcare workers (SMD = −1.62, 95% CI −3.21 to −0.03, I2 = 88%; SMD = −1.22, 95% CI −2.26 to −0.17, I2 = 74% respectively), while no significant change in cynicism (SMD = −0.90, 95%, CI −1.91 to 0.10, I2 = 75%) (Fig. 6).

Fig. 6.

Fig. 6

Effect of Balint groups on MBI-GS score. The comparative result of IV Inverse variance, random effects meta-analysis between the Balint group and control group. SD Standard deviation, CI Confidence interval

Subgroup analysis and sensitivity analysis

The subgroup analysis results indicated that the type of participants and intervention measures significantly influenced the heterogeneity of the meta-analysis of SEGUE scores, with the resident group and co-interventions producing 95% and 99% heterogeneity, respectively. In contrast, neither the medical student group nor the Balint-only group showed significant heterogeneity. Meanwhile, study region and study quality significantly influenced the heterogeneity of the meta-analysis of empathy scores, and there was no significant heterogeneity in the studies conducted in France with lower risks compared to the 97% heterogeneity generated by the studies conducted in China with unclear bias. The meta-analysis of MBI-GS emotional exhaustion scores only involved three studies, with limited grouping variables, so the subgroup analysis failed to identify a clear source of heterogeneity (Supplementary Appendix 3).

The sensitivity analysis results showed change in the direction of the meta-analysis results of SEGUE scores and empathy scores. In contrast, the meta-analysis results of SAS and MBI-GS were not robust (Supplementary Appendix 4).

Publication bias

The publication bias of the meta-analyses included in this study is shown in Fig. 7. There was some publication bias in SEGUE score (including co-interventions) and empathy score.

Fig. 7.

Fig. 7

Publication bias of studies included in the meta-analysis

Meta-synthesis

A total of 11 qualitative studies were included in the meta-synthesis. After the researchers carefully read and analyzed these studies, 41 results were obtained, which were summarized into 12 categories; ultimately, 3 integrated results were obtained (Figs. 8, 9and 10). To summarize, Balint groups had a very positive effect on physicians’ ability to empathize with patients, mental health and regulation, teamwork, and problem-solving, with many of the participants having feelings and insights with respect to improving physicians’ mental health.

Fig. 8.

Fig. 8

Integration process of the results of included studies (part 1)

Fig. 9.

Fig. 9

Integration process of the results of included studies (part 2)

Fig. 10.

Fig. 10

Integration process of the results of included studies (part 3)

Most of the participants affirmed the role of the Balint group in helping doctors empathize with patients and believed that they could understand the position of patients more profoundly through discussions in the Balint group, combined with their own and other people’s experiences of practicing and providing medical care. This suggested that the Balint group played a role in helping doctors be patient with their patients, improving the doctor‒patient relationship, and reducing doctor‒patient conflicts.

With respect to mental health, most studies noted that Balint groups improved communication among colleagues, generating empathy and reflection while promoting the sharing of lessons learned with each other. This not only helped individuals to alleviate negative emotions but also helped them obtain emotional support and valuable work experience from others. This ultimately contributed to solving doctor‒patient problems at work, reducing burnout and increasing work satisfaction among physicians.

Additionally, the Balint group covered a wide range of topics during group discussions, allowing medical students, junior physicians, and senior physicians to discuss and share personal experiences from their daily work. This helped doctors develop the ability to think about and resolve conflicts between themselves and their patients, gain new insights, and attempt to solve problems.

Discussion

To our knowledge, this is the first study to specifically focus on performing a comprehensive analysis of the intervention effects of Balint groups in doctor‒patient communication, including meta-analyses of quantitative studies and a meta-synthesis of qualitative studies. This study summarized the benefits of Balint groups, including enhancing the capacity of physicians or medical students to manage doctor‒patient relationships. A total of 56 intervention studies were included in this study, including 37 studies published in Chinese and 19 studies in English, involving a total of 3364 study participants. Among these, 13 studies were included in the quantitative meta-analysis, and 11 studies were included in the qualitative meta-synthesis. In conclusion, the meta-analysis and meta-synthesis results demonstrated that the Balint group has some certain effect on improving doctor‒patient relationships. Specifically, it can significantly enhance doctors’ communication skills, potentially improve empathy and team communication and cooperation, and may provide limited relief from alleviating occupational burnout and anxiety.

Overall, the designs of the Chinese and English studies differed greatly and had some commonalities. In terms of the intervention populations, since medical students and residents have little clinical experience and little communication with patients, the researchers focused more on medical students and residents than on physicians with clinical experience. This could be because medical students and residents need to learn from the experiences of others and improve their ability to address and cope with doctor‒patient relationships by participating in Balint groups [48, 67]; therefore, Balint groups can be used as an innovative method of medical education. In terms of the intervention, most studies only used Balint group interventions, while a few also used medical communication courses, music therapy [37], behavioral medicine training [23], and BBN training programs [29]. The studies were all controlled or had single-arm designs, with the number of participants ranging from a few to several hundred. The duration of the interventions varied from one month to one year.

In terms of outcome measurement, the Chinese researchers primarily used interviews and scales measuring empathy, burnout, anxiety, depression, and doctor‒patient communication ability to assess the role of Balint groups in improving doctor‒patient relationships. In contrast, researchers from other countries focused more on interviews, possibly because interviews can be more individualized and provide a deeper understanding of the effects of psychological interventions. Future research can focus on the ideal frequency and duration of interventions, evaluate which traits indicate the need for Balint group interventions, investigate what other psychological intervention therapies can be used in conjunction with Balint groups, and make greater efforts to standardize the measurement of outcome indicators and investigate the applicability of questionnaires.

Balint groups can help doctors better communicate with their patients, thus contributing to better doctor‒patient relationships. Building a positive patient‒physician relationship requires effective communication, particularly for interns or residents who are new to clinical practice and lack the experience and skills to communicate with patients. Balint groups can provide such learning opportunities for physicians or medical students, encouraging them to think critically and compensate for their flaws by learning from and understanding others [12]. In this study, the results of the meta-analysis of five controlled experiments and the meta-synthesis of results from seven qualitative studies revealed that Balint groups had a better effect on improving doctor–patient communication skills, which is in line with the findings of Yazdankhahfard et al. [68].

Empathy is one of the competencies that doctors must possess, as it affects how doctor–patient relationships are viewed and managed. Brock Brock et al. [69]; Player et al. [63] Doctors who are empathic can understand patients’ situations more deeply and provide them with more effective therapy. In the qualitative analysis, many included studies highlighted how the Balint group improved empathy by teaching participants to think differently and approach problems from different angles. The unique benefits of Balint groups in fostering empathy are primarily determined by the fact that, in contrast to general training approaches, Balint groups focus on participant’ personal experiences rather than typical cases derived from others, a feature that determines the special advantages of Balint groups in empathy development [13, 64]. Therefore, Balint groups can be used as a novel way to teach medical professionals or students how to manage doctor‒patient relationships. They accomplish this by having medical professionals or students discuss real cases of their peers from multiple perspectives, such as those of patients, doctors, and outsiders. This helps the participants better understand patients’ situations, which fosters the development of empathy [61]. However, it was possible that since the empathy scores were self-reported and there were too few studies included, the issue of statistical heterogeneity was prominent. In addition, the quality of the included studies varied, including several high-risk studies from China and two low-risk studies from France, resulting in significant shortcomings in the quality of the evidence. Therefore, this study conducted the meta-synthesis of qualitative studies, concluding that the Balint group can help doctors better understand patients’ feelings and perspectives, thereby partially supplementing the role of the Balint group in empathy.

The Balint group may be an effective way to alleviate occupational burnout and negative emotions among doctors, which can help them treat patients better and thereby ease the doctor-patient relationship. However, the reliability of the evidence in this study is limited. At present, medical personnel are facing heavy clinical workloads and increasingly tense doctor‒patient relationships while undertaking treatment, teaching, and research. A meta-analysis revealed that the detection rate of burnout among medical personnel in China was as high as 66% [70]. Several studies have demonstrated that long-term occupational stress causes damage to the mental health of medical personnel and a loss of professional enthusiasm, which can impact how well doctor‒patient relationships are managed and even the standard of medical care provided. This leads to a vicious circle of damage to physical and mental health as well as the relationships between doctors and patients [71]. The meta-analysis and meta-synthesis of this study revealed the potential role of Balint groups in alleviating burnout and reducing anxiety. However, due to the high heterogeneity of the included studies (including differences in intervention objectives, intervention methods, and study design quality) and the limited number of included studies, the quantitative evidence supporting the empathetic effects of Balint groups was insufficient. Therefore, we explored the results of qualitative studies and found that existing studies have pointed out the potential role of Balint groups in improving communication among colleagues and obtaining emotional support from colleagues. Existing articles also remain somewhat controversial. Several qualitative studies have demonstrated how Balint groups help enhance professional identity, achieve emotional resonance with colleagues, and regulate mental states. Nevertheless, some research has indicated that Balint groups do not significantly improve mental health or reduce stress [24]. This could be because of the various questionnaires used in the studies, and further research on the applicability of questionnaires could increase the caliber of the research. In general, Balint groups may help address mental health issues and reduce burnout in doctors; the evidence quality is insufficient to draw reliable conclusions, so higher-quality research is still needed in this area.

Balint groups can be used to explore the doctor‒patient communication problems encountered in clinical work. In addition to helping participants broaden their perspectives and find better solutions, these groups may also foster cooperation, provide opportunities for communication, and increase participants' abilities in many aspects. In this regard, the meta-synthesis in this study indicated that while qualitative research has reported some results, quantitative research has not yet explored teamwork and problem-solving abilities. Therefore, future research can focus on the role of Balint groups in this regard and examine the effect of Balint groups with a more scientific research design and more appropriate scales.

Strengths and limitations

This is the first meta-analysis and meta-synthesis to examine the role of Balint groups in improving doctor–patient relationships. In conclusion, the present study mainly evaluated the effects from the perspectives of doctor–patient communication skills, empathy, and psychological well-being, which can provide a reference for future studies. In addition, compared with quantitative research, qualitative research is more helpful in revealing the mechanisms behind psychological therapies and can provide a more thorough and distinctive picture of their impacts. Thus, a meta-analysis and meta-synthesis were performed, and the results of the quantitative and qualitative research were combined in this study to more fully represent the impact of Balint groups.

However, this study also has certain limitations, which are reflected mainly in the following aspects. First, the scale of the intervention study was limited by the specificity of this method because Balint groups are small-group activities. The heterogeneity of meta-analyses was high due to small sample sizes and diverse types of study participants, which was confirmed by the results of the subgroup analyses, thus limiting the extrapolation of the results of this study. Second, most included studies, especially Chinese studies, had an ‘unclear’ risk of bias or led to ‘some concerns’ owing to the lack of detailed reporting on blinding and randomization. In particular, the risk of bias in most Chinese studies included in the meta-analyses was controversial. Therefore, for the empathy scores of both high-quality English studies and unclear-risk Chinese studies included simultaneously, we conducted subgroup analyses. Third, the length of the interventions in some of the included studies was unknown, making it difficult to conduct subgroup analyses of the effects of interventions with different durations. Fourth, the included studies used a wide variety of scales, some of which were self-administered, making it difficult to integrate quantitative data, and the vast majority of the studies relied on self-reports by physicians or medical students [68], which is, of course, related to the specificity of Balint groups. Fifth, the robustness of the results was impacted by substantial heterogeneity and publication bias in some meta-analyses, and the evidence quality was not high. Thus, this study performed subgroup analyses on this to reveal sources of heterogeneity, and the sensitivity analyses showed that the results were relatively robust. (Supplementary Appendix 4 and Supplementary Appendix 5) Sixth, this study only included Chinese and English studies. Due to language limitations, we have not searched and analyzed the studies in databases from other regions, which may have led to a certain degree of selection bias.

Conclusions

This study illustrated how Balint groups significantly enhance doctors’ communication skills, potentially improve empathy and team communication and cooperation, and may provide limited relief from alleviating occupational burnout and anxiety from multiple perspectives of quantitative and qualitative studies. Future studies should conduct more multicenter large-sample RCTs with low risk-of-bias designs and stress the importance of qualitative studies in assessing the effects of interventions and designing more scientific and reasonable research protocols to increase the credibility of the study design and findings.

Supplementary Information

Supplementary Material 1 (15.5KB, docx)
Supplementary Material 2 (24.5KB, docx)
Supplementary Material 3 (150.6KB, docx)
Supplementary Material 4 (17.4KB, docx)
Supplementary Material 5 (20.5KB, docx)
Supplementary Material 6 (267KB, docx)

Acknowledgements

Not applicable.

Authors’ contributions

Luxinyi Xu: Writing – review & editing, Writing – original draft, Visualization, Software, Methodology, Formal analysis, Data curation, Conceptualization. Xiaomei Cui: Writing – review & editing, Writing – original draft, Data curation, Conceptualization. Yu Wang: Data curation, Investigation. Chuanchuan He: Writing – review & editing, Software. Lijun Dong: Data curation, Investigation. Dongmei Li: Supervision, Funding acquisition. Yinglong Li: Project administration. Yuan Yao: Methodology. Liqin Shan: Writing – review & editing, Supervision. Zhengfen Xu: Writing – review & editing, Supervision, Conceptualization.

Funding

This review was supported by Zhejiang Medical and Health Technology Program (Project No. 2025KY1621) and Wenzhou Medical University Curriculum Ideological and Political Teaching Innovation Demonstration Project (Project No.KCSZJG202434).

Data availability

All data generated or analyzed in this study were obtained from published articles.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

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

Luxinyi Xu and Xiaomei Cui contributed equally to this work.

Contributor Information

Liqin Shan, Email: Shan_lq@126.com.

Zhengfen Xu, Email: xuzhengfen@zjxu.edu.cn.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (15.5KB, docx)
Supplementary Material 2 (24.5KB, docx)
Supplementary Material 3 (150.6KB, docx)
Supplementary Material 4 (17.4KB, docx)
Supplementary Material 5 (20.5KB, docx)
Supplementary Material 6 (267KB, docx)

Data Availability Statement

All data generated or analyzed in this study were obtained from published articles.


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