On Scanning the Trail Ahead: Comment on “The Pennsylvania Practice Research Network and Future Possibilities for Clinically Meaningful and Scientifically Rigorous Psychotherapy Effectiveness Research”

2006 ◽  
Vol 8 (2) ◽  
pp. 186-188
Author(s):  
Ronald F. Levant
Keyword(s):  
Research Network ◽  
Practice Research ◽  
Effectiveness Research

Therapist effects on dropout from a college counseling center practice research network.

2017 ◽  
Vol 64 (4) ◽  
pp. 424-431 ◽  
Author(s):  
Henry Xiao ◽  
Louis G. Castonguay ◽  
Rebecca A. Janis ◽  
Soo Jeong Youn ◽  
Jeffrey A. Hayes ◽  
...  
Keyword(s):  
College Counseling ◽  
Counseling Center ◽  
Research Network ◽  
Practice Research ◽  
Therapist Effects ◽  
College Counseling Center

Effectiveness of transdiagnostic seminars to support patients with common mental disorders: a multi-service practice research network study

2021 ◽  
pp. 1-13
Author(s):  
Chris Gaskell ◽  
Ryan Askey-Jones ◽  
Martin Groom ◽  
Jaime Delgadillo
Keyword(s):  
Treatment Effect ◽  
High Intensity ◽  
Post Treatment ◽  
Waiting List ◽  
Effect Sizes ◽  
Research Network ◽  
Randomised Control Trial ◽  
Practice Research ◽  
Matched Sample ◽  
Post Treatment Effect

Abstract Background: This was a multi-site evaluation of psycho-educational transdiagnostic seminars (TDS) as a pre-treatment intervention to enhance the effectiveness and utilisation of high-intensity cognitive behavioural therapy (CBT). Aims: To evaluate the effectiveness of TDS combined with high-intensity CBT (TDS+CBT) versus a matched sample receiving CBT only. Second, to determine the consistency of results across participating services which employed CBT+TDS. Finally, to determine the acceptability of TDS across patients with different psychological disorders. Method: 106 patients across three services voluntarily attended TDS while on a waiting list for CBT (TDS+CBT). Individual and pooled service pre–post treatment effect sizes were calculated using measures of depression, anxiety and functional impairment. Effectiveness and completion rates for TDS+CBT were compared with a propensity score matched sample from an archival dataset of cases who received high-intensity CBT only. Results: Pre–post treatment effect sizes for TDS+CBT were comparable to the matched sample. Recovery rates were greater for the group receiving TDS; however, this was not statistically significant. Greater improvements were observed during the waiting-list period for patients who had received TDS for depression (d = 0.49 compared with d = 0.07) and anxiety (d = 0.36 compared with d = 0.04). Conclusions: Overall, this new evidence found a trend for TDS improving symptoms while awaiting CBT across three separate IAPT services. The effectiveness of TDS now warrants further exploration through an appropriately sized randomised control trial.

scholarly journals Tonsillectomy Bleed Rates across the CHEER Practice Research Network

2016 ◽  
Vol 155 (1) ◽  
pp. 28-32 ◽  
Author(s):  
Walter T. Lee ◽  
David L. Witsell ◽  
Kourosh Parham ◽  
Jennifer J. Shin ◽  
Nikita Chapurin ◽  
...  
Keyword(s):  
Data Collection ◽  
Postoperative Bleeding ◽  
Age Groups ◽  
Postoperative Hemorrhage ◽  
Research Network ◽  
Practice Research ◽  
Retrospective Data ◽  
Significant Difference ◽  
Retrospective Data Collection ◽  
A Site

Objectives (1) Compare postoperative bleeding in the CHEER network (Creating Healthcare Excellence through Education and Research) among age groups, diagnoses, and practice types. (2) Report the incidence of bleeding by individual CHEER practice site based on practice guidelines. Study Design Retrospective data collection database review of the CHEER network based on ICD-9 and CPT codes related to tonsillectomy patients. Setting Multisite practice–based network. Subjects and Methods A total of 8347 subjects underwent tonsillectomy as determined by procedure code within the retrospective data collection database, and 107 had postoperative hemorrhage. These subjects had demographic information and related diagnoses based on the CPT and ICD-9 codes collected. Postoperative ICD-9 and CPT codes were used to identify patients who also had postoperative bleed. Variables included age (<12 vs ≥12 years), diagnoses (infectious vs noninfectious), and practice type (community vs academic). Statistical analysis included multivariate logistic regression variables predictive of postoperative bleeding, with P < .05 considered significant. Results Thirteen sites contributed data to the study (7 academic, 6 community). There was postoperative bleeding for an overall bleed rate of 1.3%. Patients ≥12 years old had a significantly increased bleed rate when compared with the younger group (odds ratio, 5.98; 95% confidence interval: 3.79-9.44; P < .0001). There was no significant difference in bleed rates when practices or diagnoses were compared. Conclusion A site descriptor database built to expedite clinical research can be used for practice assessment and quality improvement. These data were also useful to identify patient risk factors for posttonsillectomy bleed.

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