Evidence map›Paper›PMID 31758120›Full record

ArticleBritish dental journal2019

Conceptualising a framework for improving quality in primary dental care.

Matthew Byrne, Martin Tickle

Abstract read
PubMed Publisher
In one paragraph

Article in British dental journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. A Systematic Literature Review of Quality Management Initiatives in Dental Clinics.International journal of environmental research and public health · 2021
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Planning the oral health workforce: Time for innovation.Community dentistry and oral epidemiology · 2021
    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.

Matthew ByrneNIHR Academic Clinical Fellow in Primary Care Dentistry, Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. matthew.byrne-6@postgrad.manchester.ac.uk.
Martin TickleProfessor of Dental Public Health & Primary Care, School of Dentistry, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper sets out a conceptual framework by which quality improvement in primary dental care can be approached. We argue that seeking a unified definition for quality in dentistry is a distraction to the more important end of quality improvement. An approach to quality improvement that interfaces Donabedian's domains of structure, process and outcome with various dimensions of quality gives a rational approach by which quality can be assessed and improved. The importance of valid, evidence driven indicators and methods for their implementation in primary dental care is described. Further work is required in order to identify which dimensions of dentistry are most important, but the Institute of Medicine's dimensions of safety, effectiveness, patient centreedness, timeliness, equity, efficiency are a good starting point. Trying to develop an absolute list of dimensions of quality should not distract from implementing an approach-based paradigm of quality improvement. Bioinformatics offers new solutions by which quality measures may be implemented and reported in the primary care setting. The focus of future research should be in implementing data-driven quality indicators at the level of the primary care practitioner.

Indexed as

Primary Health CareQuality ImprovementDental CareHumansQuality of Health Care

Identifiers

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.