Evidence map›Paper›PMID 37017860›Full record

ArticleJournal of autism and developmental disorders2024

Exploratory Time-Series Analysis of Consecutive Case Series Data: A Quality Improvement and Adherence Study of a Behavior Analytic Service Provider.

Collin Shepley

Abstract read
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In one paragraph

Article in Journal of autism and developmental disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Collin ShepleyDepartment of Early Childhood, Special Education, & Counselor Education, University of Kentucky, 229 Taylor Education Building, Lexington, KY, 40506, USA. collinshepley@uky.edu.
University of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are sequentially gathered following the onset of a specific occurrence. Given the sequential nature in which data are collected within a consecutive case series, analytic techniques that adopt a time-series framework may be particularly advantageous. Although such methods are commonly used for program evaluation in medicine and economics, their application within the field of applied behavior analysis is largely absent. To serve as a model for providers undertaking evaluation efforts, I conducted a program evaluation of an outpatient severe behavior clinic, in which I employed quasi-experimental methods using an interrupted time-series analysis.

Indexed as

Interrupted Time Series AnalysisQuality ImprovementBehavior TherapyChildFemaleHumansMaleProgram EvaluationConsecutive case seriesProgram evaluationTime-series analysis

Identifiers

PMID37017860
OpenAlexW4362601152

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.