| Literature DB >> 34852003 |
Alexandra Macnamara1, Masuma Pervin Mishu2, Mehreen Riaz Faisal2, Mohammed Islam3, Emily Peckham2.
Abstract
BACKGROUND: Those with severe mental illness (SMI) are at greater risk of having poor oral health, which can have an impact on daily activities such as eating, socialising and working. There is currently a lack of evidence to suggest which oral health interventions are effective for improving oral health outcomes for people with SMI. AIMS: This systematic review aims to examine the effectiveness of oral health interventions in improving oral health outcomes for those with SMI.Entities:
Mesh:
Year: 2021 PMID: 34852003 PMCID: PMC8635332 DOI: 10.1371/journal.pone.0260766
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA flowchart.
Characteristics of included studies.
| Author, Year, Country | Study Design | Participants | Intervention | Control | Outcomes (related to oral health) |
|---|---|---|---|---|---|
| Adams et al 2018 [ | Cluster RCT | n = 35 teams; unknown number of participants (>1682) | Dental checklist for care coordinators | No checklist | • Number visiting a dentist within 12 months |
| • Registration with dentist | |||||
| • Routine check-up within last 12 months | |||||
| UK | • Owning a toothbrush | ||||
| • Brushing twice a day | |||||
| • Non-routine visit to a dentist in the last year | |||||
| Agarwal et al 2019 [ | RCT | n = 111 | Oral health education | Standard oral care advice | • Oral health knowledge and attitudes |
| • Oral hygiene practices | |||||
| • Oral health (gingival index, debris index, calculus index and oral hygiene index) | |||||
| India | |||||
| Almomani et al 2009 [ | RCT | n = 60 | Motivational interviewing | Oral health education session only | • Oral health (modified Quigley-Hein Plaque Index) |
| • Oral health knowledge | |||||
| USA | |||||
| • Self-regulation for toothbrushing (Treatment Self-Regulation Questionnaire) | |||||
| Almomani et al 2006 [ | RCT | n | Oral health education | Provision of mechanical toothbrush only | • Patients’ oral health (modified Quigley-Hein Plaque Index) |
| USA | |||||
| de Mey et al 2016 [ | Before and after study | n = 27 | Oral health education for nurses and patients | N/A | • Nursing staff oral health knowledge |
| The Netherlands | • Oral health (plaque index and bleeding index) | ||||
| Jean et al 2020 [ | RCT | n = 60 | Mangosteen fruit plus non-surgical therapy | Non-surgical therapy only | • Oral health (plaque index, bleeding index, periodontal pocket depth and clinical attachment level) |
| India | |||||
| Gottfried and Verdicchio 1974 [ | Before and after study | n = 50 | Incentivisation (rewards provided for hygiene related behaviours) | N/A | • Proportion of participants brushing their teeth |
| USA | |||||
| Klinge 1979 [ | Before and after study | n = 10 | Oral health education | N/A | • Frequency of unhealthy oral health behaviours |
| USA | |||||
| Kuo et al 2020 [ | Cluster RCT | n = 68 | Composite intervention including group and individual education and incentives | Standard nursing care | • Oral health knowledge, attitudes and behaviour |
| Taiwan | • Oral health (plaque index) | ||||
| Mun et al 2014 [ | RCT | n = 88 | Different forms of oral health education | Different forms of oral health education | • Oral health (Patient Hygiene Performance plaque index, acid production and Lactobacillus) |
| Korea | • Measures of dry mouth (salivary flow, oral dryness) | ||||
| Nurbaya et al 2020 [ | Quasi-experimental study | n = 104 | Oral health education | No education | • Oral health knowledge and attitudes |
| Indonesia | • Oral health (plaque index) | ||||
| Singhal et al 2021 [ | 2x2 Quasi-experimental study | n = 103 | Home care instructions and battery-operated toothbrush | Control groups included no home care instructions and manual toothbrush | • Oral health (gingival index and plaque index) |
| USA |
Fig 2Risk of bias in RCTs.
Fig 3Risk of bias in cluster RCTs.
Fig 4Risk of bias in non-randomised studies.
Summary of the intervention effects on clinical measures of oral health.
| Study details, intervention and numbers in final analysis | Outcome measure | Result |
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| Agarwal et al 2019 | ||
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| Almomani et al 2009 | ||
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| Almomani et al 2006 | ||
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| de Mey et al 2016 | ||
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| Jean et al 2020 | ||
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| Kuo et al 2020 | ||
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| Mun et al 2014 | ||
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| Nurbaya et al 2020 | ||
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| Singhal et al 2021 | ||
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A summary of the intervention effects on oral health attitudes, behaviours, and knowledge.
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| Adams et al 2018 | ||
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| Agarwal et al 2019 | ||
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| Almomani et al 2009 | ||
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| de Mey et al 2016 | ||
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| Gottfried and Verdicchio 1974 | Baseline: | |
| Day one | ||
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| Throughout programme | |
| Klinge 1979 | Change in need for brushing reminders (p<0.001), refusal to brush (p<0.01) and using dentrifice but no brush (p<0.05). No significant change in other parameters. | |
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| Kuo 2020 | ||
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| Nurbaya 2020 | ||
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Quality assessment of the evidence using the GRADE approach.
| Outcome | Number of studies | Study design | Risk of bias | Inconsistency | Indirectness | Imprecision | Other factors | Overall |
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| 3 | RCTs (2) and quasi-experimental study (1) | No serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Moderate | |
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| 1 | RCT | No serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Low | |
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| 1 | RCT | No serious risk of bias | No serious inconsistency | No serious indirectness | Serious | Not serious | Moderate | |
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| 0 | - | - | - | - | - | - | No data |
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| 1 | 2x2 quasi-experimental study | Serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Very low | |
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| 1 | 2x2 quasi-experimental study | Serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Very low | |
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| 1 | Uncontrolled before and after study | Serious risk of bias | No serious inconsistency | No serious indirectness | Serious | Not serious | Low | |
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| 1 | Uncontrolled before and after study | Serious risk of bias | No serious inconsistency | No serious indirectness | Serious | Not serious | Low | |
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| 1 | Cluster RCT | No serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Low | |
| ⊕⊕⊝⊝ | ||||||||
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| 0 | - | - | - | - | - | - | No data |
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| 1 | RCT | No serious risk of bias | No serious inconsistency | Not serious | Serious | Serious | Low | |
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| 0 | RCT | - | - | - | - | - | No data |
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| 0 | - | - | - | - | - | - | No data |
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| 0 | - | - | - | - | - | - | No data |
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| 0 | - | - | - | - | - | - | No data |
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| 0 | - | - | - | - | - | - | No data |
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| 1 | RCT | Serious risk of bias | No serious inconsistency | Serious | Serious | Not serious | Very low | |
| ⊕⊝⊝⊝ | ||||||||
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| 0 | - | - | - | - | - | - | No data |
GRADE certainty ratings
Very low: The true effect is probably markedly different from the estimated effect.
Low: The true effect might be markedly different from the estimated effect.
Moderate: The authors believe that the true effect is probably close to the estimated effect.
High: The authors have a lot of confidence that the true effect is similar to the estimated effect.
a May not be generalisable to all with SMI
b Lack of information around precision of results
c Some imprecision around results and not large sample size
d Corporate sponsor
e Wide confidence intervals for all domains.