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      Insurance acceptance and cash pay rates for psychotherapy in the US

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          Abstract

          Cost and insurance coverage remain important barriers to mental health care, including psychotherapy and mental health counseling services (“psychotherapy”). While data are scant, psychotherapy services are often delivered in private practice settings, where providers frequently do not take insurance and instead rely on direct pay. In this cross-sectional analysis, we use a large national online directory of 175 083 psychotherapy providers to describe characteristics of private practice psychotherapy providers who accept and do not accept insurance, and assess self-reported private pay rates. Overall, about one-third of private practice psychotherapists did not accept insurance, with insurance acceptance varying substantially across states. We also found significant session rate differentials, with Medicaid rates being on average 40% lower than reported cash pay rates, which averaged $143.26 a session. Taken together, low insurance acceptance across a broad swath of mental health provider types means that access to care is disproportionately reliant on patients’ ability to afford out-of-pocket payments—even when covered by insurance. While our findings are descriptive and may not be representative of all US psychotherapists, they add to scant existing knowledge about the cash pay market for an important mental health service that has experienced increased use and demand over time.

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          Patient preference for psychological vs pharmacologic treatment of psychiatric disorders: a meta-analytic review.

          Evidence-based practice involves the consideration of efficacy and effectiveness, clinical expertise, and patient preference in treatment selection. However, patient preference for psychiatric treatment has been understudied. The aim of this meta-analytic review was to provide an estimate of the proportion of patients preferring psychological treatment relative to medication for psychiatric disorders. A literature search was conducted using PubMed, PsycINFO, and the Cochrane Collaboration library through August 2011 for studies written in English that assessed adult patient preferences for the treatment of psychiatric disorders. The following search terms and subject headings were used in combination: patient preference, consumer preference, therapeutics, psychotherapy, drug therapy, mental disorders, depression, anxiety, insomnia, bipolar disorder, schizophrenia, substance-related disorder, eating disorder, and personality disorder. In addition, the reference sections of identified articles were examined to locate any additional articles not captured by this search. Studies that assessed preferred type of treatment and included at least 1 psychological treatment and 1 pharmacologic treatment were included. Of the 644 articles identified, 34 met criteria for inclusion. Authors extracted relevant data including the proportion of participants reporting preference for psychological or pharmacologic treatment. The proportion of adult patients preferring psychological treatment was 0.75 (95% CI, 0.69-0.80), which was significantly higher than equivalent preference (ie, higher than 0.50; P < .001). Sensitivity analyses suggested that younger patients (P = .05) and women (P < .01) were significantly more likely to choose psychological treatment. A preference for psychological treatment was consistently evident in both treatment-seeking and unselected (ie, non-treatment-seeking) samples (P < .001 for both) but was somewhat stronger for unselected samples. Aggregation of patient preferences across diverse settings yielded a significant 3-fold preference for psychological treatment. Given evidence for enhanced outcomes among those receiving their preferred psychiatric treatment and the trends for decreasing utilization of psychotherapy, strategies to maximize the linkage of patients to preferred care are needed. © Copyright 2013 Physicians Postgraduate Press, Inc.
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            Why Cognitive Behavioral Therapy Is the Current Gold Standard of Psychotherapy

            Taking into account the number of publications/studies, academic programs, and/or practicing professionals, cognitive behavioral therapy (CBT) is arguably the gold standard of the psychotherapy field. However, recently, some colleagues have argued for plurality in psychotherapy, questioning the status of CBT as the gold standard in psychotherapy (1), because many studies are of low quality and/or the comparator conditions are weak (i.e., wait list rather than active comparators), thus challenging CBT’s prominent status among academic programs and practitioners. We think that many issues factor into the gold-standard designation. If gold standard is defined as best standard we can have in the field, then, indeed, CBT is not the gold standard, and CBT, as a progressive research program, would not even argue for such a status at this moment. However, if gold standard is defined as best standard we have in the field at the moment, then we argue that CBT is, indeed, the gold standard. In this paper, we argue that CBT is the gold-standard psychological treatment—as the best standard we have in the field currently available—for the following reasons [see also Hofmann et al. (2)]: (1) CBT is the most researched form of psychotherapy. (2) No other form of psychotherapy has been shown to be systematically superior to CBT; if there are systematic differences between psychotherapies, they typically favor CBT. (3) Moreover, the CBT theoretical models/mechanisms of change have been the most researched and are in line with the current mainstream paradigms of human mind and behavior (e.g., information processing). At the same time, there is clearly room for further improvement, both in terms of CBT’s efficacy/effectiveness and its underlying theories/mechanisms of change. We further argue for an integrated scientific psychotherapy, with CBT serving as the foundational platform for integration. Modern CBT is an umbrella term of empirically supported treatments for clearly defined psychopathologies that are targeted with specific treatment strategies (3). More recently, CBT has included a more trans-diagnostic/process-based and personalized approach, with the ultimate goal of linking the therapeutic technique to the process and the individual client (4). Traditionally, clinical trials examining the efficacy of CBT include waitlist control, placebo conditions, treatment as usual/TAU, and other alternative treatments (including psychodynamic therapies and pharmacotherapies). Although a number of CBT trials have included weak comparisons (e.g., wait list control conditions), there are also many studies that compared CBT to strong comparison conditions (e.g., pill or psychological placebo, TAU, other psychotherapies, pharmacotherapy), meeting the stringent criteria of an empirically supported treatment (5). Indeed, Cuijpers et al. (6) found that about 54% of total trials for depression (about 34 trials) and about 20% of total trials for anxiety (about 25) met the criteria for a strong comparison (i.e., pill placebo or TAU). Cuijpers et al. (6) further reported that 17% of the total trials for depression and anxiety were of high quality and that the relationship between the quality of CBT studies and the effect sizes was not strong. Most psychotherapies [e.g., except only interpersonal therapy for depression (7), which has similar numbers] do not even come close to these numbers in terms of the active status of the comparator and the study quality [see the case of psychodynamic therapies for depression (8) and anxiety (9)]. When compared to TAU or various active conditions CBT often has a small/moderate (for TAU) or small/no effect (for active conditions). However, in these conditions, even a small effect size might be very important clinically (10), depending on the cost and benefit analyses as well as if it is cumulative or not (e.g., in time and/or population). Cognitive behavioral therapy was the first form of psychotherapy tested with the most stringent criteria (e.g., randomized trials and active comparator) of evidence-based framework used in the health field (e.g., similar for those used in case of pharmacotherapy). Therefore, it was the first psychotherapy largely identified as evidence-based in most clinical guidelines (along with interpersonal psychotherapy for depression). Consequently, many newer, less thoroughly and/or later tested psychotherapies started to use CBT as the reference treatment, often arguing for their efficacy/effectiveness when finding no difference from CBT. However, no difference to CBT can be invoked as support for a kind of clinical similarity only in equivalence or non-inferiority designs, not in superiority designs (and many of such comparisons were not framed as equivalence/non-inferiority designs). Moreover, statistically speaking, if B is equivalent to A and C is equivalent to B, it is not guaranteed that C will be also equivalent to A. Thus, if therapy A is the reference treatment and one proves that psychotherapy B is equivalent to A, it does allow psychotherapy B to become a reference treatment for the test of a new psychotherapy C. For example, Steinert et al. (11) conducted an equivalence meta-analysis for psychodynamic psychotherapies (PP) with the existing gold standard (most of the time CBT) and found the equivalence to be supported for the interval −0.25 to +0.25. However, equivalence is not transitive. If B (PP) is equivalent to the gold-standard A (i.e., CBT), it does not mean that B could be used as a gold standard for a new treatment C, as the equivalence between B and C does not imply the equivalence between A and C. This transitivity is even problematic in this case because, in the equivalence limit, significant differences (for 90% Equivalence CI) favoring gold standard over PP were found for (1) target symptoms (posttreatment: g = −0.158; k = 21) and (2) general psychiatric symptoms (g = −0.116; k = 15). Thus, even if the equivalence of PP to CBT was supported, it does not mean that PP gains the same reference status as CBT. Instead, PP should independently pass the same tests as the gold standard to obtain the same status (e.g., several high quality independent clinical trials using placebo or other active comparators). Concerning theory/mechanisms of change, CBT is (1) integrated in the larger mainstream information processing paradigm, where the causal role of explicit or implicit cognitions in generating emotions and behaviors is already well-established [although various cognitions targeted by CBT have different research-based support (3)], (2) continuously evolving based on both cumulative and critical research (12), and (3) integrated into a larger picture of science (e.g., cognitive neurogenetics). At this moment, there are no other psychological treatments with more research support to validate their underlying constructs. In contrast, some psychological treatments—especially those derived from classical psychoanalysis—are unsupported or controversial with regards to the underlying constructs, 1 while others (e.g., interpersonal psychotherapy) are in an incipient phase (13). In summary, because of its clear research support, CBT dominates the international guidelines for psychosocial treatments, making it a first-line treatment for many disorders, as noted by the National Institute for Health and Care Excellence’s guidelines 2 and American Psychological Association. 3 Therefore, CBT is, indeed, the gold standard in the psychotherapy field, being included in the major clinical guidelines based on its rigorous empirical basis, not for various political reasons, as some colleagues (1) seem to suggest. Having said that, we must add that, although CBT is efficacious/effective, there is still room for improvement, as in many situations there are patients who do not respond to CBT and/or relapse. While many non-CBT psychotherapies have changed little in practice since their creation, CBT is an evolving psychotherapy based on research (i.e., a progressive research program). Therefore, we predict that continuous improvements in psychotherapy will derive from CBT, gradually moving the field toward an integrative scientific psychotherapy. Author Note A longer quantitative form of the present viewpoint is under preparation. Author Contributions DD, IC, and SH substantially contributed to the conception of the work, drafting different components of the manuscript and revising other components. All authors approved the submitted version of e manuscript and agreed to be accountable for all aspects of the work. Conflict of Interest Statement SH receives compensation for his work as an advisor from the Palo Alto Health Sciences and for his work as a Subject Matter Expert from John Wiley & Sons, Inc. and SilverCloud Health, Inc. He also receives royalties and payments for his editorial work from various publishers. DD receives consultation fee from the Albert Ellis Institute and editorial fee from the Springer. All three authors are CBT trained scientists, active promoters, and contributors to evidence-based psychotherapy.
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              Trends in U.S. Depression Prevalence From 2015 to 2020: The Widening Treatment Gap

              Introduction Major depression is a common and potentially lethal condition. Early data suggest that the population-level burden of depression has been exacerbated by the COVID-19 pandemic. Prepandemic estimates of depression prevalence are required to quantify and comprehensively address the pandemic's impact on mental health in the U.S. Methods Data were drawn from the 2015–2020 National Survey on Drug Use and Health, a nationally representative study of U.S. individuals aged ≥12 years. The prevalence of past-year depression and help seeking for depression were estimated from 2015 to 2019, and time trends were tested with Poisson regression with robust SEs. Point estimates were calculated for 2020 and not included in statistical trend analyses because of differences in data collection procedures. Results In 2020, 9.2% (SE=0.31) of Americans aged ≥12 years experienced a past-year major depressive episode. Depression was more common among young adults aged 18–25 years (17.2%, SE=0.78), followed closely by adolescents aged 12–17 years (16.9%, SE=0.84). Depression increased most rapidly among adolescents and young adults and increased among nearly all sex, racial/ethnic, income, and education groups. Depression prevalence did not change among adults aged ≥35 years, and the prevalence of help seeking remained consistently low across the study period. Conclusions From 2015 to 2019, there were widespread increases in depression without commensurate increases in treatment, and in 2020, past 12‒month depression was prevalent among nearly 1 in 10 Americans and almost 1 in 5 adolescents and young adults. Decisive action involving a multipronged public health campaign that includes evidence-based prevention and intervention to address this ongoing mental health crisis is urgently needed.
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                Author and article information

                Contributors
                Journal
                Health Aff Sch
                Health Aff Sch
                haschl
                Health Affairs Scholar
                Oxford University Press (US )
                2976-5390
                September 2024
                09 September 2024
                09 September 2024
                : 2
                : 9
                : qxae110
                Affiliations
                Division of General Internal Medicine, Oregon Health and Science University , Portland, OR 97239, USA
                Center for Health Systems Effectiveness, Oregon Health and Science University , Portland, OR 97239, USA
                Department of Health Policy and Management, Texas A&M University School of Public Health, College Station , TX 77843, USA
                Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA 19104, USA
                Center for Health Systems Effectiveness, Oregon Health and Science University , Portland, OR 97239, USA
                Author notes
                Corresponding author: Division of General Internal Medicine, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239. Email: zhujan@ 123456ohsu.edu

                Conflict of interest Dr. Zhu reports grants and/or contracts with the National Institute for Health Care Management Foundation, Agency for Healthcare Research and Quality, National Institute of Mental Health, and American Psychological Association as well as personal consulting fees from Cambia Health Solutions unrelated to this work. Dr. Haeder reports grants from the Robert Wood Johnson Foundation and Pennsylvania Department of Insurance as well as personal consulting fees from CERA LLP, GUERRA LLP and the Washington State Attorney General’s Office unrelated to this work. Dr. Wolk reports grants from NIMH and Agency for Healthcare Research and Quality as well as royalties from Oxford University Press and personal consulting fees from Massachusetts General Hospital unrelated to this work. Dr. McConnell reports grants from NIMH, Arnold Ventures, Commonwealth Fund, Robert Wood Johnson Foundation, and contracts with states of Washington and Oregon unrelated to this work.

                Author information
                https://orcid.org/0000-0002-4868-6078
                https://orcid.org/0009-0008-1946-3490
                https://orcid.org/0000-0003-0077-6047
                https://orcid.org/0000-0001-9542-2801
                https://orcid.org/0000-0003-1280-3196
                Article
                qxae110
                10.1093/haschl/qxae110
                11412241
                39301411
                b79bc8a1-4e2f-4b10-8127-a552d4c1320a
                © The Author(s) 2024. Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 July 2024
                : 26 August 2024
                : 01 September 2024
                : 05 September 2024
                : 19 September 2024
                Page count
                Pages: 7
                Funding
                Funded by: NIMH, DOI 10.13039/100000025;
                Award ID: K08MH123624
                Categories
                Research Article
                AcademicSubjects/MED00862
                AcademicSubjects/SOC02360
                haschl/pt_1505

                mental health,psychotherapy,counseling,access to care,cost,self-pay,private practice,insurance

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