Evidence map›Paper›PMID 33354332›Full record

ArticleCanadian journal of kidney health and disease2020

An Environmental Scan and Evaluation of Home Dialysis Quality Indicators Currently Used in Canada.

Lisa Dubrofsky, Ali Ibrahim, Karthik Tennankore, Krishna Poinen, Sachin Shah, Samuel A Silver

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 6 institutions in 1 country.

Lisa DubrofskyDivision of Nephrology, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada.
Ali IbrahimDivision of Nephrology, Department of Medicine, University Health Network, University of Toronto, ON, Canada.
Karthik TennankoreDivision of Nephrology, Department of Medicine, Dalhousie University & Nova Scotia Health Authority, Halifax, Canada.
Krishna PoinenDivision of Nephrology, Department of Medicine, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-0118-0280
Sachin ShahDivision of Nephrology, Department of Medicine, University of Saskatchewan, Saskatoon, Canada.ORCID https://orcid.org/0000-0003-2809-1023
Samuel A SilverDivision of Nephrology, Kingston Health Sciences Center, Queen's University, ON, Canada.ORCID https://orcid.org/0000-0002-1843-6131
Dalhousie University · CAQueen's University · CASunnybrook Health Science Centre · CAUniversity Health Network · CAUniversity of British Columbia · CAUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality indicators are important tools to measure and ultimately improve the quality of care provided. Performance measurement may be particularly helpful to grow disciplines that are underutilized and cost-effective, such as home dialysis (peritoneal dialysis and home hemodialysis).

objectiveTo identify and catalog home dialysis quality indicators currently used in Canada, as well as to evaluate these indicators as a starting point for future collaboration and standardization of quality indicators across Canada.

designAn environmental scan of quality indicators from provincial organizations, quality organizations, and stakeholders.

settingSixteen-member pan-Canadian panel with expertise in both nephrology and quality improvement. PATIENTS: Our environmental scan included indicators relevant to patients on home dialysis. MEASUREMENTS: We classified existing indicators based on the Institute of Medicine (IOM) and Donabedian frameworks.

methodsTo evaluate the indicators, a 6-person subcommittee conducted a modified version of the Delphi consensus technique based on the American College of Physicians/Agency for Healthcare Research and Quality criteria. We shared these consensus ratings with the entire 16-member panel for further examination. We rated items from 1 to 9 on 6 domains (1-3 does not meet criteria to 7-9 meets criteria) as well as a global final rating (1-3 unnecessary to 7-9 necessary) to distinguish high-quality from low-quality indicators.

resultsOverall, we identified 40 quality indicators across 7 provinces, with 22 (55%) rated as "necessary" to distinguish high quality from poor quality care. Ten indicators were measured by more than 1 province, and 5 of these indicators were rated as necessary (home dialysis prevalence, home dialysis incidence, anemia target achievement, rates of peritonitis associated with peritoneal dialysis, and home dialysis attrition). None of these indicators captured the IOM domains of timely, patient-centered, or equitable care. LIMITATIONS: The environmental scan is a nonexhaustive list of quality indicators in Canada. The panel also lacked representation from patients, administrators, and allied health professionals.

conclusionsThese results provide Canadian home dialysis programs with a starting point on how to measure quality of care along with the current gaps. This work is an initial and necessary step toward future collaboration and standardization of quality indicators across Canada, so that home dialysis programs can access a smaller number of highly rated balanced indicators to motivate and support patient-centered quality improvement initiatives.

Indexed as

home dialysishome hemodialysismeasuring qualityperitoneal dialysisquality improvementquality indicators

Identifiers

PMID33354332
PMCPMC7734484
OpenAlexW3111405315

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.