Analyzing Therapeutic Change Using Modified Brinley Plots: History, Construction, and Interpretation

Blampied, Neville M.

doi:10.1016/j.beth.2016.09.002

Cited by 54 publications

(67 citation statements)

References 59 publications

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“…Modified Brinley plots may be even more valuable to clinicians in practice, however, as they can be used to visualize the clinical significance of any given client's change score without needing a large, standardized sample with which to compare them. Our answer is yes, by using modified Brinley plots (Blampied, 2017). Finally, data from modified Brinley plots may also alert clinicians to significant deterioration, which may signal a need to modify the current treatment approach.…”

Section: Clinical Applicationsmentioning

confidence: 98%

“…Furthermore, tracking patient outcomes using these plots would meet the ACA's mandate of providing brief screening for mental health services as part of a comprehensive insurance plan. Finally, such plots could be utilized in large group practice settings, in order to track overall performance of a clinician or group practice where clinicians use a standard outcome tracking measure (Blampied, 2017). The current study had a number of important strengths, including demonstrating the use of modified Brinley plots in both research and clinical settings and utilizing modified Brinley plots to compare data from multiple conditions in one graph.…”

Section: Clinical Applicationsmentioning

confidence: 99%

“…Ideally, an RCI should be calculated for each dependent variable, based on published psychometric properties for the given measure. Blampied (2017) provides detailed instructions for the creation and interpretation of modified Brinley plots (see Figure 1 as an example). Blampied (2017) provides detailed instructions for the creation and interpretation of modified Brinley plots (see Figure 1 as an example).…”

Section: Introductionmentioning

confidence: 99%

“…The classic approach to calculating RCI (Jacobson & Truax, 1991) classifies participants' pre-to post-treatment change scores as either RC+ (difference score > RCI, with the post-treatment score indicating an improvement over the pretreatment score, thus reliable improvement), RC0 (within the RCI boundaries, thus not significantly larger than measurement error), or RC-(difference score > RCI, with the post-treatment score indicating a decline compared to the pretreatment score, thus reliable deterioration). Blampied (2017) provides detailed instructions for the creation and interpretation of modified Brinley plots (see Figure 1 as an example). Individuals' X-Y score pairs are plotted, where the x-axis represents prestudy scores and the y-axis represents poststudy scores.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Is evidence‐based treatment helping my patient? Utilizing modified Brinley plots to measure clinical change.

Black¹,

Blampied²,

Arnold³

et al. 2019

Clinical Psychology: Science and Practice

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Using both group (nomothetic) and individual (idiographic) approaches to measuring clinical change may provide more information about the effectiveness of an intervention than either approach alone. The current study re-examined previously published data from two randomized clinical trials of omega-3 fatty acids and Individual-Family Psychoeducational Psychotherapy as treatment for mood disorders in youth, using modified Brinley plots, a method of illustrating individuals' treatment response in the context of group information. Although the original nomothetic approach provided information about the average effect of treatment, modified Brinley plots gave more information about individual children's outcomes. Practicing clinicians in particular could use modified Brinley plots to track treatment trajectories and outcomes for specific clients and subsequently use these data to inform treatment planning. K E Y W O R D S children and adolescents, modified Brinley plots, mood disorders, reliable change index, treatment outcomes 2 of 17 | BLACK et AL.

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Section: Clinical Applicationsmentioning

confidence: 98%

Section: Clinical Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Is evidence‐based treatment helping my patient? Utilizing modified Brinley plots to measure clinical change.

Black¹,

Blampied²,

Arnold³

et al. 2019

Clinical Psychology: Science and Practice

View full text Add to dashboard Cite

show abstract

“…Changes in overall severity scores are shown in a modified Brinley plot (Blampied, 2017), where each child's intervention and follow-up score is plotted against their baseline score (see Figure 5). If there had been no change over time,…”

Section: Sleep Problem Severity Scoresmentioning

confidence: 99%

The effectiveness of function‐based interventions to treat sleep problems, including unwanted co‐sleeping, in children with autism

McLay

Knight

Blampied

et al. 2018

Behavioral Interventions

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This study investigated the effectiveness of functional behavioral assessment (FBA)—informed interventions for sleep problems, particularly co‐sleeping, in children with autism spectrum disorder (ASD). Seven children, who exhibited multiple sleep problems including unwanted co‐sleeping, participated. FBA, based on information derived from interviews and parent‐recorded sleep diaries, was used to develop individualized case formulations upon which multicomponent, parent‐implemented interventions were based. These were evaluated using a single‐case, non‐concurrent multiple‐baseline‐across‐participants design. Improvements were observed across all sleep problems, including the elimination of co‐sleeping. Gains were maintained at follow‐up for five out of seven children, though two children did not complete intervention. Parents reported high levels of satisfaction with the program. FBA‐based interventions for sleep problems in children with ASD and their clinical implications are further discussed.

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A proposal for the assessment of replication of effects in single‐case experimental designs

Manolov

Tanious

Fernández-Castilla

2022

J of App Behav Analysis

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In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been replicated or not (or to what extent) are scarce, in the general context of behavioral sciences, and practically null in the singlecase experimental designs context. We propose an extension of the modified Brinley plot for assessing how many of the effects replicate. To make this assessment possible, a definition of replication is suggested, on the basis of expert judgment, rather than on statistical criteria. The definition of replication and its graphical representation are justified, presenting their strengths and limitations, and illustrated with real data. A user-friendly software is made available for obtaining automatically the graphical representation.

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Analyzing Therapeutic Change Using Modified Brinley Plots: History, Construction, and Interpretation

Cited by 54 publications

References 59 publications

Is evidence‐based treatment helping my patient? Utilizing modified Brinley plots to measure clinical change.

Is evidence‐based treatment helping my patient? Utilizing modified Brinley plots to measure clinical change.

The effectiveness of function‐based interventions to treat sleep problems, including unwanted co‐sleeping, in children with autism

A proposal for the assessment of replication of effects in single‐case experimental designs

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