Error and Discord in Helping Alliances: How to Negotiate Patient-Provider Relations in Medical Encounters

Article Information

AC Muran1, LM Lipner2 and JC Muran3*

1Donald and Barbara Zucker School of Medicine, Hofstra University/Northwell Health, 500 Hofstra Blvd, Hempstead, NY 11549, United States

2Department of Psychology, Long Island University–Post, 720 Northern Blvd, Greenvale, NY 11548, United States

3Gordon F. Derner School of Psychology, Adelphi University; 158 Cambridge Avenue, Garden City, New York 11530, United States; Mount Sinai Beth

*Corresponding Author: J Christopher Muran, Gordon F. Derner School of Psychology, Adelphi University; 158 Cambridge Avenue, Garden City, New York 11530, United States.

Received: 31 December 2022; Accepted: 06 January 2023; Published: 27 January 2023

Citation:

AC Muran, LM Lipner, JC Muran. Error and Discord in Helping Alliances: How to Negotiate Patient-Provider Relations in Medical Encounters. Journal of Psychiatry and Psychiatric Disorders 7 (2023): 06-11.

Share at Facebook

Abstract

This mini review considers patient-provider relations with regard to some of the inherent challenges providers face in their choices and interactions. It draws on diverse literatures to highlight the potential for error in decisionmaking and affective discord in human relations, including systematic biases (as well as random noise), contextual complexities, affect and emotion effects, motivational conflicts, and cultural differences. The review introduces findings and principles from psychotherapy research on rupture repair of helping alliances and concludes with some practical recommendations.

Keywords

Patient-provider relations; Decision-making; Psychotherapy

Patient-provider relations articles; Decision-making articles; Psychotherapy articles

Patient-provider relations articles Patient-provider relations Research articles Patient-provider relations review articles Patient-provider relations PubMed articles Patient-provider relations PubMed Central articles Patient-provider relations 2023 articles Patient-provider relations 2024 articles Patient-provider relations Scopus articles Patient-provider relations impact factor journals Patient-provider relations Scopus journals Patient-provider relations PubMed journals Patient-provider relations medical journals Patient-provider relations free journals Patient-provider relations best journals Patient-provider relations top journals Patient-provider relations free medical journals Patient-provider relations famous journals Patient-provider relations Google Scholar indexed journals Decision-making articles Decision-making Research articles Decision-making review articles Decision-making PubMed articles Decision-making PubMed Central articles Decision-making 2023 articles Decision-making 2024 articles Decision-making Scopus articles Decision-making impact factor journals Decision-making Scopus journals Decision-making PubMed journals Decision-making medical journals Decision-making free journals Decision-making best journals Decision-making top journals Decision-making free medical journals Decision-making famous journals Decision-making Google Scholar indexed journals Psychotherapy articles Psychotherapy Research articles Psychotherapy review articles Psychotherapy PubMed articles Psychotherapy PubMed Central articles Psychotherapy 2023 articles Psychotherapy 2024 articles Psychotherapy Scopus articles Psychotherapy impact factor journals Psychotherapy Scopus journals Psychotherapy PubMed journals Psychotherapy medical journals Psychotherapy free journals Psychotherapy best journals Psychotherapy top journals Psychotherapy free medical journals Psychotherapy famous journals Psychotherapy Google Scholar indexed journals helping alliances articles helping alliances Research articles helping alliances review articles helping alliances PubMed articles helping alliances PubMed Central articles helping alliances 2023 articles helping alliances 2024 articles helping alliances Scopus articles helping alliances impact factor journals helping alliances Scopus journals helping alliances PubMed journals helping alliances medical journals helping alliances free journals helping alliances best journals helping alliances top journals helping alliances free medical journals helping alliances famous journals helping alliances Google Scholar indexed journals narrative fallacy articles narrative fallacy Research articles narrative fallacy review articles narrative fallacy PubMed articles narrative fallacy PubMed Central articles narrative fallacy 2023 articles narrative fallacy 2024 articles narrative fallacy Scopus articles narrative fallacy impact factor journals narrative fallacy Scopus journals narrative fallacy PubMed journals narrative fallacy medical journals narrative fallacy free journals narrative fallacy best journals narrative fallacy top journals narrative fallacy free medical journals narrative fallacy famous journals narrative fallacy Google Scholar indexed journals optimism bias articles optimism bias Research articles optimism bias review articles optimism bias PubMed articles optimism bias PubMed Central articles optimism bias 2023 articles optimism bias 2024 articles optimism bias Scopus articles optimism bias impact factor journals optimism bias Scopus journals optimism bias PubMed journals optimism bias medical journals optimism bias free journals optimism bias best journals optimism bias top journals optimism bias free medical journals optimism bias famous journals optimism bias Google Scholar indexed journals confirmatory bias articles confirmatory bias Research articles confirmatory bias review articles confirmatory bias PubMed articles confirmatory bias PubMed Central articles confirmatory bias 2023 articles confirmatory bias 2024 articles confirmatory bias Scopus articles confirmatory bias impact factor journals confirmatory bias Scopus journals confirmatory bias PubMed journals confirmatory bias medical journals confirmatory bias free journals confirmatory bias best journals confirmatory bias top journals confirmatory bias free medical journals confirmatory bias famous journals confirmatory bias Google Scholar indexed journals clinical care articles clinical care Research articles clinical care review articles clinical care PubMed articles clinical care PubMed Central articles clinical care 2023 articles clinical care 2024 articles clinical care Scopus articles clinical care impact factor journals clinical care Scopus journals clinical care PubMed journals clinical care medical journals clinical care free journals clinical care best journals clinical care top journals clinical care free medical journals clinical care famous journals clinical care Google Scholar indexed journals random error articles random error Research articles random error review articles random error PubMed articles random error PubMed Central articles random error 2023 articles random error 2024 articles random error Scopus articles random error impact factor journals random error Scopus journals random error PubMed journals random error medical journals random error free journals random error best journals random error top journals random error free medical journals random error famous journals random error Google Scholar indexed journals messiness articles messiness Research articles messiness review articles messiness PubMed articles messiness PubMed Central articles messiness 2023 articles messiness 2024 articles messiness Scopus articles messiness impact factor journals messiness Scopus journals messiness PubMed journals messiness medical journals messiness free journals messiness best journals messiness top journals messiness free medical journals messiness famous journals messiness Google Scholar indexed journals

Article Details

1. Introduction

Much has been written regarding the importance of patient-provider relations (often referred to as “bedside manner”) for treatment adherence and outcome (see Ha et al. [1]; Ratelle et al. [2]; Riedl and Schüßler [3], for systematic reviews). However, the literature remains relatively thin regarding how to develop such “helping alliances” especially with regard to how to negotiate some of the inherent challenges for providers that arise due to error in decision-making and discord in human relations (see Muran and Eubanks [4]). In this mini review, we will introduce these challenges by reviewing some critical contributions from diverse evidence-based literatures: specifically those concerning a) systematic and random error in judgement and decision-making, b) the effect of affect and emotion on judgement and communication, c) the potential for motivational and emotional conflict in the individual and in relationships, d) the relevance of cultural difference and complexity, and e) the significance of alliance rupture and repair. We will conclude with some practical recommendations that aim to facilitate providers’ alliance-building abilities and thus to promote treatment adherence and outcome.

2. Systematic and Random Error

The literature on judgment and decision-making paints a complicated picture, especially in the face of stress and ambiguity. It is colored by error, both systematic and random, which has important implications when we consider provider performance in the clinical situation. Here we would like to highlight the contributions of Daniel Kahneman and colleagues (see Kahneman [5], Kahneman et al. [6], for reviews) and to emphasize the importance of context, the nature of the tasks to be undertaken and the settings in which decisions must be made [7].

Kahneman [5] described the systematic bias to focus on existing evidence and ignore absent evidence –the tendency to make decisions based primarily on known knowns, rarely on known unknowns, and typically oblivious to unknown unknowns. Kahneman [5] identified this as WYSIATI or “what you see is all there is” which generally reflects various heuristics he seminally demonstrated with his colleague Amos Tversky (e.g., Tversky and Kahneman [8]), such as representativeness (the use of existing memories to identify associated characteristics of an object), availability (the use of existing memories to identify the probability of an outcome), and anchoring (overreliance on pre-existing information or the first information found). Other more specific biases identified include the tendency to draw conclusions from small numbers (“law of small numbers”), to not consider regression to the mean or random error (“anti-statistics” bias), to look to confirm beliefs (“confirmatory bias”), to neglect our competition and their abilities (“competitor neglect”), to simplify by a story or theory (“narrative fallacy”), to overfocus on benefits and under focus on costs (“optimism bias”), and to reconstruct based on hindsight (“hindsight effect”). In addition, Kahneman [5] has described the “overconfidence bias” or the tendency to overestimate our assessment of our own agency and knowledge and underestimate the complexity and chance as perhaps the most pernicious.

More recently, Kahneman with colleagues Olivier Sibony and Cass Sunstein [6] has concentrated on random error or “noise” in the system –which refers to unpredictable and directionless, variation without pattern. To exemplify its significance, they reviewed research demonstrating that physicians can disagree with themselves over 50% of the time –often due to differences in the physician’s mood, energy, or the context associated with the patient or physical environment. They also cautioned that random error does not generally cancel itself out but can pathologically accumulate leading to adverse outcomes.

Another important consideration when it comes to decision-making can be illustrated by Robin Hogarth’s [7] distinction between “kind and wicked learning environments.” Kind environments are characterized by predictable scenarios that present a limited array of possible patterns (more structured tasks as encountered in various games or sports). At the other end of the spectrum are wicked learning environments, which refer to unpredictable scenarios with unlimited patterns (such as human interactions, which are inherently complicated).

Even with its clear healthcare expectations and protocols, patient-doctor encounters are often rife with uncertainty and complexity. They can be understood as lying more towards the wicked end of the spectrum and as particularly susceptible to all kinds of error or bias in judgement by both provider and patient.

3. Communication and Affective Discord

The picture we presented above regarding clinical judgement becomes more complicated when we consider the effects of affect and emotion on the decisions we make. Kahneman [5] noted that understanding such effects represents the new horizon for understanding our intuitive judgements and decision-making.

A number of cognitive scientists have demonstrated the effect of affect and emotion (including regulation) on how we attend to, appraise and remember events –how we are often oblivious to how these effects shaped a previous action when deciding to perform the same action again [9-11]. Baumeister and colleagues [12] have also suggested a disposition to negative emotion (“bad is stronger than good”), demonstrating that we have more words for negative emotions, we engage in more cognitive processing with such emotions, and we better remember negative emotional events. There is also a good deal of research on how we can negatively respond to stress and “choke” under pressure: that is, become dysregulated and paralyzed (see Beilock [13], for a review).

The effect of affect and emotion becomes even more complicated when considering the influence of others: in other words, how much one’s emotional state is regulated by the emotion of another. There is research demonstrating the reciprocity of emotion: how much we influence and are influenced by others in interpersonal encounters, including how contagious anxiety or emotional dysregulation can be and how hostility begets hostility [14-17].

In addition, there is the research by Edward Tronick and colleagues [18,19] on mother-infant interactions that evidences the importance of mutual regulation and characterizes human relations as comprised of a “million moments” of attunement and misattunement. Attunement refers to the matching of verbal and nonverbal expressions (from vocal coordination to mutual gaze) that can occur in a dyadic interaction. In his research, Tronick demonstrates the prevalence of affective misattunement (up to 70% of the time) and the relevance of reattunement for the development of self-efficacy and -resilience. His findings highlight the inherent “messiness” in human relations.

4. Motivational and Emotional Conflict

To provide more dimension to our understanding of judgment and communication, we would also like to describe a couple motivational and emotional conflicts that can complicate patient-provider relations.

One concerns the motivational needs for agency (self-definition and -efficacy) and communion (relatedness or connection), originally defined by David Bakan [20]. These needs have been operationally defined and empirically supported [21,22]. Accordingly, these two motivations can serve as a framework for understanding all communications and choices (including those by both patient and provider). Often these motivations can work at odds: They have been described as dialectical and demonstrated to be orthogonal. Thus there is inherent tension in pursuing these at once: For example, the pursuit of self-definition (“look at me”) can risk connection with others (“forget you”). Although much has been written about the pursuit of these needs by patients (specifically with regard to understanding psychiatric disorders: (see Blatt and Blass [23]; Beck and Bredemeier [24]), less has been written about providers in such pursuits and how their own motivations shape their decisions and actions (see Muran and Eubanks [4] for an exception).

The other potential conflict we will highlight here concerns the simultaneous experience of contradictory valences (e.g., a conflict of the self that may include wish and fear) and movement toward and away from something (behaviorally described as approach/avoidance by Dollard and Miller [25]. Most recently, William Miller and Stephen Rollnick [26], (see also Braga et al. [27]) have addressed this conflict as “ambivalence” regarding treatment and change. Others have discussed ambivalence in relational terms with implications for patient-provider interactions (e.g., Mikulincer et al. [28]; Urmanche et al. [29]). Ambivalences can reflect conflicts based on personal histories as well as social constructs. Note it is important to recognize providers can bring their own ambivalences to their encounters with patients.

5. Cultural Differences and Complexity

Differences in culture (here we use “culture” in the broadest sense to include gender, race, ethnicity, sexuality, religion etc.) have also been shown to shape our decisions and actions. Much has been written in this regard (see Cooper [30]), probably less so with regard to the provider and clinical practice.

Here we want to highlight how such cultural differences can result in personal dispositions or implicit biases (i.e., unconscious features of prejudicial judgement and social behavior, automatic attributions of qualities to a member of a certain cultural group, derived from past experience or social media: see Greenwald and Banaji [31], which introduce further systematic error in clinical judgement. The influence of such biases has been observed across a variety of clinical care contexts, including diagnostic status, treatment planning and intervention [32-37]. They have also been tied to expressions of “microaggression” –indirect and unintentional communications of discrimination against someone from a marginalized or underrepresented group (see Sue [38]).

It is also important to consider the evidence regarding affective differences by culture that can further complicate communication: that is, the research demonstrating cultural-specificity with regard to expression and recognition of emotion (see Elfenbein and Ambady [39]; Scherer et al. [40]; Shao [41]). And finally, it is important to consider the concept of “intersectionality” –the recognition of the individual as comprised of multiple cultural identities. This presents a critical and complicating dimension to the decision-making process, not only in the ways one’s own identities combine, but in how they converge or clash with those of others in an interpersonal encounter.

6. Rupture Repair in Helping Alliances

One of the most consistently robust predictive factors of change in the psychotherapy literature is the quality of the working alliance between patient and provider: A recent meta-analysis by Christoph Flückiger and colleagues [42] reported on 295 independent studies that covered more than 30,000 cases and demonstrated its significant relationship to treatment adherence and outcome. The alliance has been defined as a “purposeful collaboration” and “affective bond” between patient and therapist (see Bordin [43]; Hatcher and Barends [44]). Purposeful collaboration refers to what extent the patient and provider agree on the treatment protocol (or tasks) and the treatment objective (or goals). The affective bond refers to what extent there is mutual trust and respect. One can readily apply this definition to any patient-provider relationship or “helping alliance” (see Fuertes [45]).

There is now an expanding literature on rupture in the alliance. Ruptures have been defined as disagreement on tasks or goals and distrust in the bond between patient and provider, as well as differences regarding their respective implicit needs and cultural identities (Safran and Muran [46]; Muran and Eubanks [4]). Importantly, when ruptures go unnoticed or unaddressed, there is a much higher likelihood of treatment failure. This understanding highlights the importance of providers familiarizing themselves with rupture markers, which include interpersonal behaviors (such as movements away or against the other, expressions of ambivalence or aggression: with examples ranging from minimal responding and acquiescence to more outright skepticism and criticism) and intrapersonal markers (including provider experiences of anxiety and dysregulation). Research has demonstrated that interpersonal rupture markers are quite prevalent (up to 50% of psychotherapy sessions based on self-report, 100% of session by observer-rating) and predictive of nonadherence and poor outcome (see Eubanks et al. [47], meta-analysis).

Rupture repair has been defined as a) clarification of misunderstandings and ambivalences, b) renegotiation of tasks or goals, and c) exploration of rupture, including expectations or fears regarding the treatment process (see Muran and Eubanks [4]; Muran et al. [48], for provider guidelines). Research has shown that rupture repair can lead to positive outcomes [47] and provided empirical support for stage-process models that define principles to guide provider intervention. There is also research demonstrating the positive effect of an alliance-focused training on treatment process and outcome [49,50]. Principles for providers promoted in this training protocol include awareness (self-reflection and self-regulation), humility (acceptance of one’s own limitations), curiosity (about self and other, including implicit expectations and fears), and collaboration (pursuit of shared decision-making).

7. Concluding Recommendations

In his translation of Tversky and Kahneman’s [8] research to the medical setting, Daniel Redelmeier et al. [51,52] made a number of important recommendations to improve clinical care, beginning with greater humility and including the continuous use of feedback, follow-up systems, supervision and peer review, plus review of probability and error and pursuit of contrary evidence and the latest research. We would like to support his efforts with the following “simple but not easy” recommendations that build off the topics and research reviewed in this mini review (see also Muran and Lipner [53]).

We recommend that providers:

  • Be aware –remember the potential for errors and biases in decision-making, including the influence of emotions [8,12,16,31 for example]. In this regard, we suggest the use of mindfulness meditation (e.g., a personal practice or a brief three minute exercise before any encounter) and journaling (where one attempts to label emotional experiences with patients with some granularity, daily or weekly [13, 54]).
  • Be humble –in particular consider carefully the overconfidence bias, the tendency to overestimate your knowledge and abilities. Remind yourself of your limitations, the probability of systematic and random error, review by (re)reading this literature. Seek feedback from experts, consultation and supervision from peers and senior colleagues. (Familiarize yourself with the findings from Kahneman and colleagues [5,6].)
  • Be collaborative –with your patients (and colleagues), invite their feedback, look for indications of ambivalence (and alliance rupture: any markers of disagreement or distrust), attend to your own anxieties (as possible rupture markers), inquire about their expectations and fears, and engage in shared decision making. This is essential to a good working alliance. (Review the research on interpersonal “messiness” [18] and rupture repair [4].)

In sum, error and discord are inherent to our choices and interactions with others –and thus to clinical practice. In other words, they are rules of the game. So, try to play within them.

References

  1. Ha JF, Longnecker Doctor-patient communication: a review. Ochsner Journal 10 (2010): 38-43.
  2. Ratelle JT, Gallagher CN, Sawatsky AP, et The Effect of Bedside Rounds on Learning Outcomes in Medical Education: A Systematic Review. Academic Medicine 97 (2022): 923-930.
  3. Riedl D, Schüßler The influence of doctor-patient communication on health outcomes: a systematic review. Zeitschrift für Psychosomatische Medizin und Psychotherapie 63 (2017): 131-150.
  4. Muran JC, Eubanks Therapist performance under pressure: Negotiating emotion, difference and rupture. APA Books (2020).
  5. Kahneman Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux (2010).
  6. Kahneman D, Sibony O, Sunstein Noise. HarperCollins (2020).
  7. Hogarth Educating Intuition. University of Chicago Press (2001).
  8. Tversky A, Kahneman Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science 185 (1974): 1124-1131.
  9. Andrade EB, Ariely D. The enduring impact of transient emotions on decision making. Organizational Behavior and Human Decision Processes 109 (2009): 1-8.
  10. Grecucci A, Sanfey Emotion regulation and decision making. In: Gross JJ (Ed.), Handbook of emotion regulation. New York, NY: Guilford Press (2014): 140-153.
  11. Slovic P, Finucane ML, Peters E, et al. The affect heuristic. In: Gilovich T, Griffin D, Kahneman D (Eds.), Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press (2002): 397-420.
  12. Baumeister RF, Bratslavsky E, Finkenauer C, et Bad is stronger than good. Review of General Psychology 5 (2001): 323-370.
  13. Beilock SL. Choke: What the secrets of the brain reveal about getting it right when you have to. Simon and Schuster (2010).
  14. Acton The interpersonal principle of complementarity: a meta-analysis (2006).
  15. Heerey EA, Kring AM. Interpersonal consequences of social anxiety. Journal of Abnormal Psychology 116 (2007): 125-134.
  16. Herrando C, Constantinides E. Emotional contagion: a brief overview and future directions. Frontiers in Psychology 12 (2021): 712606.
  17. Parkinson B. Heart to heart: A relation-alignment approach to emotion’s social effects. Emotion Review 13 (2021): 78-89.
  18. Tronick, E. The neurobehavioral and social-emotional development of infants and children. WW Norton and Company (2007).
  19. Gold, CM, Tronick, E. The power of discord: Why the ups and downs of relationships are the secret to building intimacy, resilience, and trust. Little, Brown Spark (2020).
  20. Bakan The duality of human existence. Beacon Press (1966).
  21. Abele AE, Wojciszke Agency and communion in social psychology. Routledge (Eds.) (2019).
  22. Gurtman MB. Exploring personality with the interpersonal circumplex. Social and Personality Psychology Compass 3 (2009): 601-619.
  23. Blatt, SJ, Blass, RB. Relatedness and self-definition: A dialectic model of personality development. In: Development and vulnerability in close relationships. Psychology Press (2013).
  24. Beck, AT, Bredemeier, KA. Unified model of depression: Integrating clinical, cognitive, biological, and evolutionary perspectives. Clinical Psychological Science 4 (2016): 596-619.
  25. Dollard J, Miller NE. Personality and psychotherapy; an analysis in terms of learning, thinking, and culture. McGraw- Hill (1950).
  26. Miller WR, Rollnick Motivational interviewing. Guilford Press (2013).
  27. Braga C, Ribeiro AP, Gonçalves MM, et al. Ambivalence resolution in brief psychotherapy for depression. Clinical Psychology and Psychotherapy 25 (2018): 369-377.
  28. Mikulincer M, Shaver PR, Bar-On N, et al. The pushes and pulls of close relationships: Attachment insecurities and relational ambivalence. Journal of Personality and Social Psychology 98 (2010): 450-468.
  29. Urmanche, AA, Oliveira, JT, Gonçalves, MM, Eubanks, CF, Muran, JC. Ambivalence, resistance, and alliance ruptures in psychotherapy: It’s complicated. Psychoanalytic Psychology 36 (2019): 139-147.
  30. Cooper Individual differences and personality (4th Edition). Routledge (2020).
  31. Greenwald, AG, Banaji, M.R. The implicit revolution: Reconceiving the relationship between conscious and unconscious. American Psychologist 72 (2017): 861-871.
  32. FitzGerald C, Hurst S. Implicit bias in healthcare professionals: A systematic review. BMC Medical Ethics 18 (2017): 1-18.
  33. Green AR, Carney DR, Pallin DJ, et Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. Journal of General Internal Medicine 22 (2007): 1231-1238.
  34. Knapp S, VandeCreek When values of different cultures conflict: Ethical decision making in a multicultural context. Professional Psychology 38 (2007): 660-666.
  35. Whaley AL, Geller Toward a cognitive process model of ethnic/racial biases in judgement. Review of General Psychology 11 (2007): 75-96.
  36. Sohler NL, Bromet Does racial bias influence psychiatric diagnoses assigned at first hospitalization? Social Psychiatry & Psychiatric Epidemiology 38 (2003): 463-472.
  37. Snowden LR. Bias in mental health assessment and intervention: Theory and American Journal of Health 93 (2003): 239-243.
  38. Sue Microaggressions in everyday life: Race, gender, and sexual orientation. John Wiley and Sons (2010).
  39. Elfenbein HA, Ambady On the universality and cultural specificity of emotion recognition: a meta-analysis. Psychological Bulletin 128 (2002): 203.
  40. Scherer KR, Clark-Polner E, Mortillaro In the eye of the beholder? Universality and cultural specificity in the expression and perception of emotion. International Journal of Psychology 46 (2011): 401-435.
  41. Shao B, Doucet L, Caruso Universality versus cultural specificity of three emotion domains: Some evidence based on the cascading model of emotional intelligence. Journal of Cross-Cultural Psychology 46 (2015): 229-251.
  42. Flückiger C, Del Re AC, Wampold BE, et The alliance in adult psychotherapy: A meta-analytic synthesis. Psychotherapy 55 (2018): 316-340.
  43. Bordin, ES. The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice 16 (1979): 252-260.
  44. Hatcher, RL, Barends, AW. How a return to theory could help alliance research. Psychotherapy: Theory, Research, Practice, Training, 43 (2006): 292-299.
  45. Fuertes JN, Toporovsky A, Reyes M, et The physician-patient working alliance: Theory, research, and future possibilities. Patient Education and Counseling 100 (2017): 610-615.
  46. Safran JD, Muran Negotiating the therapeutic alliance: A relational treatment guide. Guilford Press (2000).
  47. Eubanks CF, Muran JC, Safran Alliance rupture repair: A meta-analysis. Psychotherapy 55 (2018): 508-519.
  48. Muran JC, Eubanks CF, Samstag Rupture in a wicked and wonderful world. In: Eubanks CF, Samstag LW, Muran JC (eds.), Rupture and repair in psychotherapy: A critical process for change APA Books (2022).
  49. Muran Confessions of a New York rupture researcher: An insider’s guide and critique. Psychotherapy Research 29 (2019): 1-14.
  50. Muran JC, Safran JD, Eubanks CF, et The effect of an alliance-focused training on cognitive-behavioral therapy for personality disorders. Journal of Consulting and Clinical Psychology 86 (2018): 384-397.
  51. Redelmeier DA, Cialdini RB. Problems for clinical judgement: Principles of influence in medical practice. Canadian Medical Association Journal 166 (2002): 1680-1684.
  52. Redelmeier DA, Ferris LE, Tu JV, et al. Problems for clinical judgement: Introducing cognitive psychology as one more basic science. Canadian Medical Association Journal 164 (2001): 358-360.
  53. Muran JC, Lipner LM. An evidence-based consideration of change processes, clinical choices and positionality. In: Leong FTL (ed.), APA handbook of psychotherapy, APA Books (in press).
  54. Friedlander, ML (2015). Use of relational strategies to repair alliance ruptures: How responsive supervisors train responsive psychotherapists. Psychotherapy 52 (2015): 174-179.

© 2016-2024, Copyrights Fortune Journals. All Rights Reserved