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Oral health education (advice and training) for people with serious mental illness

Overview of attention for article published in Cochrane database of systematic reviews, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog
twitter
12 tweeters
facebook
1 Facebook page

Citations

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16 Dimensions

Readers on

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275 Mendeley
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Title
Oral health education (advice and training) for people with serious mental illness
Published in
Cochrane database of systematic reviews, September 2016
DOI 10.1002/14651858.cd008802.pub3
Pubmed ID
Authors

Mariam A Khokhar, Waqqas Ahmad Khokhar, Andrew V Clifton, Graeme E Tosh

Abstract

People with serious mental illness not only experience an erosion of functioning in day-to-day life over a protracted period of time, but evidence also suggests that they have a greater risk of experiencing oral disease and greater oral treatment needs than the general population. Poor oral hygiene has been linked to coronary heart disease, diabetes, and respiratory disease and impacts on quality of life, affecting everyday functioning such as eating, comfort, appearance, social acceptance, and self esteem. Oral health, however, is often not seen as a priority in people suffering with serious mental illness. To review the effects of oral health education (advice and training) with or without monitoring for people with serious mental illness. We searched the Cochrane Schizophrenia Group's Trials Register (5 November 2015), which is based on regular searches of MEDLINE, EMBASE, CINAHL, BIOSIS, AMED, PubMed, PsycINFO, and clinical trials registries. There are no language, date, document type, or publication status limitations for inclusion of records in the register. All randomised clinical trials focusing on oral health education (advice and training) with or without monitoring for people with serious mental illness. We extracted data independently. For binary outcomes, we calculated risk ratio (RR) and its 95% confidence interval (CI), on an intention-to-treat basis. For continuous data, we estimated the mean difference (MD) between groups and its 95% CI. We employed a fixed-effect model for analyses. We assessed risk of bias for included studies and created 'Summary of findings' tables using GRADE. We included three randomised controlled trials (RCTs) involving 1358 participants. None of the studies provided useable data for the key outcomes of not having seen a dentist in the past year, not brushing teeth twice a day, chronic pain, clinically important adverse events, and service use. Data for leaving the study early and change in plaque index scores were provided. Oral health education compared with standard careWhen 'oral health education' was compared with 'standard care', there was no clear difference between the groups for numbers leaving the study early (1 RCT, n = 50, RR 1.67, 95% CI 0.45 to 6.24, moderate-quality evidence), while for dental state: no clinically important change in plaque index, an effect was found. Although this was statistically significant and favoured the intervention group, it is unclear if it was clinically important (1 RCT, n = 40, MD - 0.50 95% CI - 0.62 to - 0.38, very low quality evidence).These limited data may have implications regarding improvement in oral hygiene. Motivational interview + oral health education compared with oral health educationSimilarly, when 'motivational interview + oral health education' was compared with 'oral health education', there was no clear difference for the outcome of leaving the study early (1 RCT, n = 60 RR 3.00, 95% CI 0.33 to 27.23, moderate-quality evidence), while for dental state: no clinically important change in plaque index, an effect favouring the intervention group was found (1 RCT, n = 56, MD - 0.60 95% CI - 1.02 to - 0.18 very low-quality evidence). These limited, clinically opaque data may or may not have implications regarding improvement in oral hygiene. Monitoring compared with no monitoringFor this comparison, only data for leaving the study early were available. We found a difference in numbers leaving early, favouring the 'no monitoring' group (1 RCT, n = 1682, RR 1.07, 95% CI 1.00 to 1.14, moderate-quality evidence). However, these data are problematic. The control denominator is implied and not clear, and follow-up did not depend only on individual participants, but also on professional caregivers and organisations - the latter changing frequently resulting in poor follow-up, but not a good reflection of the acceptability of the monitoring to patients. For this comparison, no data were available for 'no clinically important change in plaque index'. We found no evidence from trials that oral health advice helps people with serious mental illness in terms of clinically meaningful outcomes. It makes sense to follow guidelines and recommendations such as those put forward by the British Society for Disability and Oral Health working group until better evidence is generated. Pioneering trialists have shown that evaluative studies relevant to oral health advice for people with serious mental illness are possible.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 275 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 19%
Student > Bachelor 40 15%
Student > Ph. D. Student 31 11%
Researcher 28 10%
Student > Doctoral Student 15 5%
Other 49 18%
Unknown 60 22%
Readers by discipline Count As %
Medicine and Dentistry 83 30%
Nursing and Health Professions 40 15%
Psychology 27 10%
Social Sciences 21 8%
Computer Science 6 2%
Other 30 11%
Unknown 68 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2019.
All research outputs
#1,443,266
of 16,088,023 outputs
Outputs from Cochrane database of systematic reviews
#3,730
of 11,393 outputs
Outputs of similar age
#32,818
of 267,418 outputs
Outputs of similar age from Cochrane database of systematic reviews
#74
of 183 outputs
Altmetric has tracked 16,088,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,418 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.