Evidence map›Paper›PMID 25848420›Full record

ArticleApplied clinical informatics2015

Implementation of an audio computer-assisted self-interview (ACASI) system in a general medicine clinic: patient response burden.

W E Trick, C Deamant, J Smith, D Garcia, F Angulo

Abstract read
In one paragraph

Article in Applied clinical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Physical symptoms screening for cardiopulmonary complications of obesity using audio computer-assisted self-interviews.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  9. Article
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

5 authors.

W E TrickCollaborative Research Unit, Department of Medicine, Cook County Health & Hospitals System , Chicago, Illinois.
C DeamantDivision of General Medicine, Department of Medicine, Cook County Health & Hospitals System , Chicago, Illinois.
J SmithCollaborative Research Unit, Department of Medicine, Cook County Health & Hospitals System , Chicago, Illinois.
D GarciaCollaborative Research Unit, Department of Medicine, Cook County Health & Hospitals System , Chicago, Illinois.
F AnguloCollaborative Research Unit, Department of Medicine, Cook County Health & Hospitals System , Chicago, Illinois.

Funding

Computer Assisted Quality of Life and Symptom Assessment of Complex PatientsR24HS019481 · AHRQ · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI TRICK, WILLIAM E · 2010 to 2010
$999k
AHRQ HHS R24 HS019481AHRQ HHS R24 HS19481-01
6 · The paper itself

Abstract

backgroundRoutine implementation of instruments to capture patient-reported outcomes could guide clinical practice and facilitate health services research. Audio interviews facilitate self-interviews across literacy levels.

objectivesTo evaluate time burden for patients, and factors associated with response times for an audio computer-assisted self interview (ACASI) system integrated into the clinical workflow.

methodsWe developed an ACASI system, integrated with a research data warehouse. Instruments for symptom burden, self-reported health, depression screening, tobacco use, and patient satisfaction were administered through touch-screen monitors in the general medicine clinic at the Cook County Health & Hospitals System during April 8, 2011-July 27, 2012. We performed a cross-sectional study to evaluate the mean time burden per item and for each module of instruments; we evaluated factors associated with longer response latency.

resultsAmong 1,670 interviews, the mean per-question response time was 18.4 [SD, 6.1] seconds. By multivariable analysis, age was most strongly associated with prolonged response time and increased per decade compared to < 50 years as follows (additional seconds per question; 95% CI): 50-59 years (1.4; 0.7 to 2.1 seconds); 60-69 (3.4; 2.6 to 4.1); 70-79 (5.1; 4.0 to 6.1); and 80-89 (5.5; 4.1 to 7.0). Response times also were longer for Spanish language (3.9; 2.9 to 4.9); no home computer use (3.3; 2.8 to 3.9); and, low mental self-reported health (0.6; 0.0 to 1.1). However, most interviews were completed within 10 minutes.

conclusionsAn ACASI software system can be included in a patient visit and adds minimal time burden. The burden was greatest for older patients, interviews in Spanish, and for those with less computer exposure. A patient's self-reported health had minimal impact on response times.

Indexed as

ComputersInternal MedicineInterviews as TopicSoftwareAgedAged, 80 and overFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTime FactorsComputerspatient-centered outcome researchquality of lifesoftwaresymptoms

Identifiers

PMID25848420
PMCPMC4377567

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.