Evidence map›Paper›PMID 27830235›Full record

ArticleYearbook of medical informatics2016

Unintended Consequences: New Problems, New Solutions. Contributions From 2015.

R Koppel, Y Chen

Abstract read
In one paragraph

Article in Yearbook of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

R KoppelProf. Ross Koppel, Sociology Department, University of Pennsylvania, Philadelphia, PA 19104, USA, E-mail: rkoppel@sas.upenn.edu.
Y Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo select the best of the 2015 published papers on unintended consequences of healthcare information technology (HIT).

methodLiterature searches in several areas of scholarship, including IT, human factors, evaluation studies, medical errors, medical informatics, and implementation science. Also, because the specific terms "unintended consequences" were not often included in abstracts and titles, a more nuanced search algorithm was developed.

resultsWe identified 754 papers that had some empirical research on unintended consequences of HIT. An initial screen of titles and abstracts reduced this to 171 papers of potential interest. We then further filtered out papers that did not meet the following criteria: 1) the paper had to report an original empirical investigation, and 2) the impact reported had to be not negligible, i.e., in quantitative studies, the results related to unintended consequences were statistically significant; and in qualitative studies the relevant themes emerged were prominent. This resulted in 33 papers of which 15 were selected as best paper candidates. Each of these 15 papers was then separately evaluated by four reviewers. The final selection of four papers was made jointly by the external reviewers and the two section editors.

conclusionsThere is a growing awareness of the importance of HIT's unintended consequences-be they generated by the HIT vendors, the implementation process, the consultants, the users, or most probably, some combination of the above. There has also been greater creativity in use of data sources, including secondary data (e.g., medical malpractice cases and surveys) and a wider acceptance of mixed methods to identify unintended consequences. Unfortunately, the complexity of causes mitigates the value of recommendations to avoid unwanted outcomes. Suggestions are often contentious rather than obvious, setting-specific, and not universally applicable. "Lessons learned" often take on generalized-and perhaps platitudinous-forms, such as: "plan extra time," "involve all of the stakeholders," "recognize the different needs of different units or disciplines." The greater awareness of these problems, and the increased desire to identify and eliminate them is clearly reflected in the area's growing literature. We are hopeful the topic will receive additional attention and the discipline will improve its ability to identify and address these unexpected and usually adverse outcomes.

Indexed as

Medical InformaticsHumansadverse eventsInternational Medical Informatics AssociationMedical informaticsunintended consequencesyearbook

Identifiers

PMID27830235
PMCPMC5171567

What OpenQuestion holds

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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.