Evidence map›Paper›PMID 34179397›Full record

ArticleJournal of patient experience2021

Categorizing and Rating Patient Complaints: An Innovative Approach to Improve Patient Experience.

Stephanie Bayer, Paul Kuzmickas, Adrienne Boissy, Susannah L Rose, Mary Beth Mercer

Abstract read
In one paragraph

Article in Journal of patient experience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Stephanie BayerOffice of Patient Experience, Cleveland Clinic, Cleveland, OH, USA.
Paul KuzmickasOmbudsman Office, Cleveland Clinic, Cleveland, OH, USA.
Adrienne BoissyCleveland Clinic, Cleveland, OH, USA.
Susannah L RoseOffice of Patient Experience, Cleveland Clinic, Cleveland, OH, USA.
Mary Beth MercerOffice of Patient Experience, Cleveland Clinic, Cleveland, OH, USA.ORCID https://orcid.org/0000-0001-7479-8762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ombudsman Office at a large academic medical center created a standardized approach to manage and measure unsolicited patient complaints, including methods to identify longitudinal improvements, accounting for volume variances, as well as incident severity to prioritize response needs. Data on patient complaints and grievances are collected and categorized by type of issue, unit location, severity, and individual employee involved. In addition to granular data, results are collated into meaningful monthly leadership reports to identify opportunities for improvement. An overall benchmark for improvement is also applied based on the number of complaints and grievances received for every 1000 patient encounters. Results are utilized in conjunction with satisfaction survey results to drive patient experience strategies. By applying benchmarks to patient grievances, targets can be created based on historical performance. The utilization of grievance and complaint benchmarking helps prioritize resources to improve patient experiences.

Indexed as

benchmarkingpatient complaintspatient experienceprioritization

Identifiers

PMID34179397
PMCPMC8205334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.