Background
Healthcare workers can suffer from occupational stress as a result of lack of skills, organisational factors, and low social support at work. This may lead to distress, burnout and ...psychosomatic problems, and deterioration in quality of life and service provision.
Objectives
To evaluate the effectiveness of work‐ and person‐directed interventions compared to no intervention or alternative interventions in preventing stress at work in healthcare workers.
Search methods
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, PsycINFO, CINAHL, NIOSHTIC‐2 and Web of Science up to November 2013.
Selection criteria
Randomised controlled trials (RCTs) of interventions aimed at preventing psychological stress in healthcare workers. For organisational interventions, interrupted time‐series and controlled before‐and‐after (CBA) studies were also eligible.
Data collection and analysis
Two review authors independently extracted data and assessed trial quality. We used Standardised Mean Differences (SMDs) where authors of trials used different scales to measure stress or burnout. We combined studies that were similar in meta‐analyses. We used the GRADE system to rate the quality of the evidence.
Main results
In this update, we added 39 studies, making a total of 58 studies (54 RCTs and four CBA studies), with 7188 participants. We categorised interventions as cognitive‐behavioural training (CBT) (n = 14), mental and physical relaxation (n = 21), combined CBT and relaxation (n = 6) and organisational interventions (n = 20). Follow‐up was less than one month in 24 studies, one to six in 22 studies and more than six months in 12 studies. We categorised outcomes as stress, anxiety or general health.
There was low‐quality evidence that CBT with or without relaxation was no more effective in reducing stress symptoms than no intervention at one month follow‐up in six studies (SMD ‐0.27 (95% Confidence Interval (CI) ‐0.66 to 0.13; 332 participants). But at one to six months follow‐up in seven studies (SMD ‐0.38, 95% CI ‐0.59 to ‐0.16; 549 participants, 13% relative risk reduction), and at more than six months follow‐up in two studies (SMD ‐1.04, 95% CI ‐1.37 to ‐0.70; 157 participants) CBT with or without relaxation reduced stress more than no intervention.
CBT interventions did not lead to a considerably greater effect than an alternative intervention, in three studies.
Physical relaxation (e.g. massage) was more effective in reducing stress than no intervention at one month follow‐up in four studies (SMD ‐0.48, 95% CI ‐0.89 to ‐0.08; 97 participants) and at one to six months follow‐up in six studies (SMD ‐0.47; 95% CI ‐0.70 to ‐0.24; 316 participants). Two studies did not find a considerable difference in stress between massage and taking extra breaks.
Mental relaxation (e.g. meditation) led to similar stress symptom levels as no intervention at one to six months follow‐up in six studies (SMD ‐0.50, 95% CI ‐1.15 to 0.15; 205 participants) but to less stress in one study at more than six months follow‐up. One study showed that mental relaxation reduced stress more effectively than attending a course on theory analysis and another that it was more effective than just relaxing in a chair.
Organisational interventions consisted of changes in working conditions, organising support, changing care, increasing communication skills and changing work schedules. Changing work schedules (from continuous to having weekend breaks and from a four‐week to a two‐week schedule) reduced stress with SMD ‐0.55 (95% CI ‐0.84 to ‐0.25; 2 trials, 180 participants). Other organisational interventions were not more effective than no intervention or an alternative intervention.
We graded the quality of the evidence for all but one comparison as low. For CBT this was due to the possibility of publication bias, and for the other comparisons to a lack of precision and risk of bias. Only for relaxation versus no intervention was the evidence of moderate quality.
Authors' conclusions
There is low‐quality evidence that CBT and mental and physical relaxation reduce stress more than no intervention but not more than alternative interventions. There is also low‐quality evidence that changing work schedules may lead to a reduction of stress. Other organisational interventions have no effect on stress levels. More randomised controlled trials are needed with at least 120 participants that compare the intervention to a placebo‐like intervention. Organisational interventions need better focus on reduction of specific stressors.
Healthcare workers can suffer from occupational stress as a result of lack of skills, organisational factors, and low social support at work. which may lead to distress, burnout and psychosomatic ...problems, and deterioration in quality of life and service provision.
To evaluate the effectiveness of work- and person-directed interventions compared to no intervention or alternative interventions in preventing stress at work in healthcare workers.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, PsycINFO, CINAHL, NIOSHTIC-2 and Web of Science up to November 2013.
Randomised controlled trials (RCTs) of interventions aimed at preventing psychological stress in healthcare workers. For organisational interventions, interrupted time-series and controlled before-and-after (CBA) studies were also eligible.
Two review authors independently extracted data and assessed trial quality. We used Standardised Mean Differences (SMDs) where authors of trials used different scales to measure stress or burnout. We combined studies that were similar in meta-analyses. We used the GRADE system to rate the quality of the evidence.
In this update, we added 39 studies, making a total of 58 studies (54 RCTs and four CBA studies), with 7188 participants. We categorised interventions as cognitive-behavioural training (CBT) (n = 14), mental and physical relaxation (n = 21), combined CBT and relaxation (n = 6) and organisational interventions (n = 20). Follow-up was less than one month in 24 studies, one to six in 22 studies and more than six months in 12 studies. We categorised outcomes as stress, anxiety or general health.There was low-quality evidence that CBT with or without relaxation was no more effective in reducing stress symptoms than no intervention at one month follow-up in six studies (SMD -0.27 (95% Confidence Interval (CI) -0.66 to 0.13; 332 participants). But at one to six months follow-up in seven studies (SMD -0.38, 95% CI -0.59 to -0.16; 549 participants, 13% relative risk reduction), and at more than six months follow-up in two studies (SMD -1.04, 95% CI -1.37 to -0.70; 157 participants) CBT with or without relaxation reduced stress more than no intervention.CBT interventions did not lead to a considerably greater effect than an alternative intervention, in three studies.Physical relaxation (e.g. massage) was more effective in reducing stress than no intervention at one month follow-up in four studies (SMD -0.48, 95% CI -0.89 to -0.08; 97 participants) and at one to six months follow-up in six studies (SMD -0.47; 95% CI -0.70 to -0.24; 316 participants). Two studies did not find a considerable difference in stress between massage and taking extra breaks.Mental relaxation (e.g. meditation) led to similar stress symptom levels as no intervention at one to six months follow-up in six studies (SMD -0.50, 95% CI -1.15 to 0.15; 205 participants) but to less stress in one study at more than six months follow-up. One study showed that mental relaxation reduced stress more effectively than attending a course on theory analysis and another that it was more effective than just relaxing in a chair.Organisational interventions consisted of changes in working conditions, organising support, changing care, increasing communication skills and changing work schedules. Changing work schedules (from continuous to having weekend breaks and from a four-week to a two-week schedule) reduced stress with SMD -0.55 (95% CI -0.84 to -0.25; 2 trials, 180 participants). Other organisational interventions were not more effective than no intervention or an alternative intervention.We graded the quality of the evidence for all but one comparison as low. For CBT this was due to the possibility of publication bias, and for the other comparisons to a lack of precision and risk of bias. Only for relaxation versus no intervention was the evidence of moderate quality.
There is low-quality evidence that CBT and mental and physical relaxation reduce stress more than no intervention but not more than alternative interventions. There is also low-quality evidence that changing work schedules may lead to a reduction of stress. Other organisational interventions have no effect on stress levels. More randomised controlled trials are needed with at least 120 participants that compare the intervention to a placebo-like intervention. Organisational interventions need better focus on reduction of specific stressors.
Workflow nets
, a particular class of Petri nets, have become one of the standard ways to model and analyze workflows. Typically, they are used as an abstraction of the workflow that is used to check ...the so-called
soundness property
. This property guarantees the absence of livelocks, deadlocks, and other anomalies that can be detected without domain knowledge. Several authors have proposed alternative notions of soundness and have suggested to use more expressive languages, e.g., models with cancellations or priorities. This paper provides an
overview of the different notions of soundness and investigates these in the presence of different extensions of workflow nets
. We will show that the eight soundness notions described in the literature are decidable for workflow nets. However, most extensions will make all of these notions undecidable. These new results show the theoretical limits of workflow verification. Moreover, we discuss some of the analysis approaches described in the literature.
Background
In epidemics of highly infectious diseases, such as Ebola, severe acute respiratory syndrome (SARS), or coronavirus (COVID‐19), healthcare workers (HCW) are at much greater risk of ...infection than the general population, due to their contact with patients' contaminated body fluids. Personal protective equipment (PPE) can reduce the risk by covering exposed body parts. It is unclear which type of PPE protects best, what is the best way to put PPE on (i.e. donning) or to remove PPE (i.e. doffing), and how to train HCWs to use PPE as instructed.
Objectives
To evaluate which type of full‐body PPE and which method of donning or doffing PPE have the least risk of contamination or infection for HCW, and which training methods increase compliance with PPE protocols.
Search methods
We searched CENTRAL, MEDLINE, Embase and CINAHL to 20 March 2020.
Selection criteria
We included all controlled studies that evaluated the effect of full‐body PPE used by HCW exposed to highly infectious diseases, on the risk of infection, contamination, or noncompliance with protocols. We also included studies that compared the effect of various ways of donning or doffing PPE, and the effects of training on the same outcomes.
Data collection and analysis
Two review authors independently selected studies, extracted data and assessed the risk of bias in included trials. We conducted random‐effects meta‐analyses were appropriate.
Main results
Earlier versions of this review were published in 2016 and 2019. In this update, we included 24 studies with 2278 participants, of which 14 were randomised controlled trials (RCT), one was a quasi‐RCT and nine had a non‐randomised design.
Eight studies compared types of PPE. Six studies evaluated adapted PPE. Eight studies compared donning and doffing processes and three studies evaluated types of training. Eighteen studies used simulated exposure with fluorescent markers or harmless microbes. In simulation studies, median contamination rates were 25% for the intervention and 67% for the control groups.
Evidence for all outcomes is of very low certainty unless otherwise stated because it is based on one or two studies, the indirectness of the evidence in simulation studies and because of risk of bias.
Types of PPE
The use of a powered, air‐purifying respirator with coverall may protect against the risk of contamination better than a N95 mask and gown (risk ratio (RR) 0.27, 95% confidence interval (CI) 0.17 to 0.43) but was more difficult to don (non‐compliance: RR 7.5, 95% CI 1.81 to 31.1). In one RCT (59 participants), people with a long gown had less contamination than those with a coverall, and coveralls were more difficult to doff (low‐certainty evidence). Gowns may protect better against contamination than aprons (small patches: mean difference (MD) −10.28, 95% CI −14.77 to −5.79). PPE made of more breathable material may lead to a similar number of spots on the trunk (MD 1.60, 95% CI −0.15 to 3.35) compared to more water‐repellent material but may have greater user satisfaction (MD −0.46, 95% CI −0.84 to −0.08, scale of 1 to 5).
Modified PPE versus standard PPE
The following modifications to PPE design may lead to less contamination compared to standard PPE: sealed gown and glove combination (RR 0.27, 95% CI 0.09 to 0.78), a better fitting gown around the neck, wrists and hands (RR 0.08, 95% CI 0.01 to 0.55), a better cover of the gown‐wrist interface (RR 0.45, 95% CI 0.26 to 0.78, low‐certainty evidence), added tabs to grab to facilitate doffing of masks (RR 0.33, 95% CI 0.14 to 0.80) or gloves (RR 0.22, 95% CI 0.15 to 0.31).
Donning and doffing
Using Centers for Disease Control and Prevention (CDC) recommendations for doffing may lead to less contamination compared to no guidance (small patches: MD −5.44, 95% CI −7.43 to −3.45). One‐step removal of gloves and gown may lead to less bacterial contamination (RR 0.20, 95% CI 0.05 to 0.77) but not to less fluorescent contamination (RR 0.98, 95% CI 0.75 to 1.28) than separate removal. Double‐gloving may lead to less viral or bacterial contamination compared to single gloving (RR 0.34, 95% CI 0.17 to 0.66) but not to less fluorescent contamination (RR 0.98, 95% CI 0.75 to 1.28). Additional spoken instruction may lead to fewer errors in doffing (MD −0.9, 95% CI −1.4 to −0.4) and to fewer contamination spots (MD −5, 95% CI −8.08 to −1.92). Extra sanitation of gloves before doffing with quaternary ammonium or bleach may decrease contamination, but not alcohol‐based hand rub.
Training
The use of additional computer simulation may lead to fewer errors in doffing (MD −1.2, 95% CI −1.6 to −0.7). A video lecture on donning PPE may lead to better skills scores (MD 30.70, 95% CI 20.14 to 41.26) than a traditional lecture. Face‐to‐face instruction may reduce noncompliance with doffing guidance more (odds ratio 0.45, 95% CI 0.21 to 0.98) than providing folders or videos only.
Authors' conclusions
We found low‐ to very low‐certainty evidence that covering more parts of the body leads to better protection but usually comes at the cost of more difficult donning or doffing and less user comfort, and may therefore even lead to more contamination. More breathable types of PPE may lead to similar contamination but may have greater user satisfaction. Modifications to PPE design, such as tabs to grab, may decrease the risk of contamination. For donning and doffing procedures, following CDC doffing guidance, a one‐step glove and gown removal, double‐gloving, spoken instructions during doffing, and using glove disinfection may reduce contamination and increase compliance. Face‐to‐face training in PPE use may reduce errors more than folder‐based training.
We still need RCTs of training with long‐term follow‐up. We need simulation studies with more participants to find out which combinations of PPE and which doffing procedure protects best. Consensus on simulation of exposure and assessment of outcome is urgently needed. We also need more real‐life evidence. Therefore, the use of PPE of HCW exposed to highly infectious diseases should be registered and the HCW should be prospectively followed for their risk of infection.
A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and ...all-cause mortality.
To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies.
We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes.
Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required.
We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -10 minutes per day, 95% CI -45 to 24, two studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up.
At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.
The Log Skeleton Visualizer in ProM 6.9 Verbeek, H. M. W.
International journal on software tools for technology transfer,
08/2022, Letnik:
24, Številka:
4
Journal Article
Recenzirano
Odprti dostop
Process discovery is an important area in the field of process mining. To help advance this area, a process discovery contest (PDC) has been set up, which allows us to compare different approaches. ...At the moment of writing, there have been three instances of the PDC: in 2016, in 2017, and in 2019. This paper introduces the winning contribution to the PDC 2019, called the Log Skeleton Visualizer. This visualizer uses a novel type of process models called log skeletons. In contrast with many workflow net-based discovery techniques, these log skeletons do not rely on the directly follows relation. As a result, log skeletons offer circumstantial information on the event log at hand rather than only sequential information. Using this visualizer, we were able to classify 898 out of 900 traces correctly for the PDC 2019 and to win this contest.
Background
Many dental procedures produce aerosols (droplets, droplet nuclei and splatter) that harbour various pathogenic micro‐organisms and may pose a risk for the spread of infections between ...dentist and patient. The COVID‐19 pandemic has led to greater concern about this risk.
Objectives
To assess the effectiveness of methods used during dental treatment procedures to minimize aerosol production and reduce or neutralize contamination in aerosols.
Search methods
Cochrane Oral Health’s Information Specialist searched the following databases on 17 September 2020: Cochrane Oral Health’s Trials Register, the Cochrane Central Register of Controlled Trials (CENTRAL) (in the Cochrane Library, 2020, Issue 8), MEDLINE Ovid (from 1946); Embase Ovid (from 1980); the WHO COVID‐19 Global literature on coronavirus disease; the US National Institutes of Health Trials Registry (ClinicalTrials.gov); and the Cochrane COVID‐19 Study Register. We placed no restrictions on the language or date of publication.
Selection criteria
We included randomized controlled trials (RCTs) and controlled clinical trials (CCTs) on aerosol‐generating procedures (AGPs) performed by dental healthcare providers that evaluated methods to reduce contaminated aerosols in dental clinics (excluding preprocedural mouthrinses). The primary outcomes were incidence of infection in dental staff or patients, and reduction in volume and level of contaminated aerosols in the operative environment. The secondary outcomes were cost, accessibility and feasibility.
Data collection and analysis
Two review authors screened search results, extracted data from the included studies, assessed the risk of bias in the studies, and judged the certainty of the available evidence. We used mean differences (MDs) and 95% confidence intervals (CIs) as the effect estimate for continuous outcomes, and random‐effects meta‐analysis to combine data. We assessed heterogeneity.
Main results
We included 16 studies with 425 participants aged 5 to 69 years. Eight studies had high risk of bias; eight had unclear risk of bias. No studies measured infection. All studies measured bacterial contamination using the surrogate outcome of colony‐forming units (CFU). Two studies measured contamination per volume of air sampled at different distances from the patient's mouth, and 14 studies sampled particles on agar plates at specific distances from the patient's mouth.
The results presented below should be interpreted with caution as the evidence is very low certainty due to heterogeneity, risk of bias, small sample sizes and wide confidence intervals. Moreover, we do not know the 'minimal clinically important difference' in CFU.
High‐volume evacuator
Use of a high‐volume evacuator (HVE) may reduce bacterial contamination in aerosols less than one foot (~ 30 cm) from a patient's mouth (MD −47.41, 95% CI −92.76 to −2.06; 3 split‐mouth RCTs, 122 participants; very high heterogeneity I² = 95%), but not at longer distances (MD −1.00, −2.56 to 0.56; 1 RCT, 80 participants).
One split‐mouth RCT (six participants) found that HVE may not be more effective than conventional dental suction (saliva ejector or low‐volume evacuator) at 40 cm (MD CFU −2.30, 95% CI −5.32 to 0.72) or 150 cm (MD −2.20, 95% CI −14.01 to 9.61).
Dental isolation combination system
One RCT (50 participants) found that there may be no difference in CFU between a combination system (Isolite) and a saliva ejector (low‐volume evacuator) during AGPs (MD −0.31, 95% CI −0.82 to 0.20) or after AGPs (MD −0.35, −0.99 to 0.29). However, an 'n of 1' design study showed that the combination system may reduce CFU compared with rubber dam plus HVE (MD −125.20, 95% CI −174.02 to −76.38) or HVE (MD −109.30, 95% CI −153.01 to −65.59).
Rubber dam
One split‐mouth RCT (10 participants) receiving dental treatment, found that there may be a reduction in CFU with rubber dam at one‐metre (MD −16.20, 95% CI −19.36 to −13.04) and two‐metre distance (MD −11.70, 95% CI −15.82 to −7.58). One RCT of 47 dental students found use of rubber dam may make no difference in CFU at the forehead (MD 0.98, 95% CI −0.73 to 2.70) and occipital region of the operator (MD 0.77, 95% CI −0.46 to 2.00).
One split‐mouth RCT (21 participants) found that rubber dam plus HVE may reduce CFU more than cotton roll plus HVE on the patient's chest (MD −251.00, 95% CI −267.95 to −234.05) and dental unit light (MD −12.70, 95% CI −12.85 to −12.55).
Air cleaning systems
One split‐mouth CCT (two participants) used a local stand‐alone air cleaning system (ACS), which may reduce aerosol contamination during cavity preparation (MD −66.70 CFU, 95% CI −120.15 to −13.25 per cubic metre) or ultrasonic scaling (MD −32.40, 95% CI ‐ 51.55 to −13.25).
Another CCT (50 participants) found that laminar flow in the dental clinic combined with a HEPA filter may reduce contamination approximately 76 cm from the floor (MD −483.56 CFU, 95% CI −550.02 to −417.10 per cubic feet per minute per patient) and 20 cm to 30 cm from the patient's mouth (MD −319.14 CFU, 95% CI ‐ 385.60 to −252.68).
Disinfectants ‒ antimicrobial coolants
Two RCTs evaluated use of antimicrobial coolants during ultrasonic scaling. Compared with distilled water, coolant containing chlorhexidine (CHX), cinnamon extract coolant or povidone iodine may reduce CFU: CHX (MD −124.00, 95% CI −135.78 to −112.22; 20 participants), povidone iodine (MD −656.45, 95% CI −672.74 to −640.16; 40 participants), cinnamon (MD −644.55, 95% CI −668.70 to −620.40; 40 participants). CHX coolant may reduce CFU more than povidone iodine (MD −59.30, 95% CI −64.16 to −54.44; 20 participants), but not more than cinnamon extract (MD −11.90, 95% CI −35.88 to 12.08; 40 participants).
Authors' conclusions
We found no studies that evaluated disease transmission via aerosols in a dental setting; and no evidence about viral contamination in aerosols.
All of the included studies measured bacterial contamination using colony‐forming units. There appeared to be some benefit from the interventions evaluated but the available evidence is very low certainty so we are unable to draw reliable conclusions.
We did not find any studies on methods such as ventilation, ionization, ozonisation, UV light and fogging.
Studies are needed that measure contamination in aerosols, size distribution of aerosols and infection transmission risk for respiratory diseases such as COVID‐19 in dental patients and staff.
CONTEXT Nearly half of adult cancer survivors are younger than 65 years, but the association of cancer survivorship with employment status is unknown. OBJECTIVE To assess the association of cancer ...survivorship with unemployment compared with healthy controls. DATA SOURCES A systematic search of studies published between 1966 and June 2008 was conducted using MEDLINE, CINAHL, EMBASE, PsycINFO, and OSH-ROM databases. STUDY SELECTION Eligible studies included adult cancer survivors and a control group, and employment as an outcome. DATA EXTRACTION Pooled relative risks were calculated over all studies and according to cancer type. A Bayesian meta-regression analysis was performed to assess associations of unemployment with cancer type, country of origin, average age at diagnosis, and background unemployment rate. RESULTS Twenty-six articles describing 36 studies met the inclusion criteria. The analyses included 20 366 cancer survivors and 157 603 healthy control participants. Studies included 16 from the United States, 15 from Europe, and 5 from other countries. Overall, cancer survivors were more likely to be unemployed than healthy control participants (33.8% vs 15.2%; pooled relative risk RR, 1.37; 95% confidence interval CI, 1.21-1.55). Unemployment was higher in breast cancer survivors compared with control participants (35.6% vs 31.7%; pooled RR, 1.28; 95% CI, 1.11-1.49), as well as in survivors of gastrointestinal cancers (48.8% vs 33.4%; pooled RR, 1.44; 95% CI, 1.02-2.05), and cancers of the female reproductive organs (49.1% vs 38.3%; pooled RR, 1.28; 95% CI, 1.17-1.40). Unemployment rates were not higher for survivors of blood cancers compared with controls (30.6% vs 23.7%; pooled RR, 1.41; 95% CI, 0.95-2.09), prostate cancers (39.4% vs 27.1%; pooled RR, 1.11; 95% CI, 1.00-1.25), or testicular cancer (18.5% vs 18.1%; pooled RR, 0.94; 95% CI, 0.74-1.20). For survivors in the United States, the unemployment risk was 1.5 times higher compared with survivors in Europe (meta-RR, 1.48; 95% credibility interval, 1.15-1.95). After adjustment for diagnosis, age, and background unemployment rate, this risk disappeared (meta-RR, 1.24; 95% CI, 0.85-1.83). CONCLUSION Cancer survivorship is associated with unemployment.
Background
Cancer patients are 1.4 times more likely to be unemployed than healthy people. Therefore it is important to provide cancer patients with programmes to support the return‐to‐work (RTW) ...process. This is an update of a Cochrane review first published in 2011.
Objectives
To evaluate the effectiveness of interventions aimed at enhancing RTW in cancer patients compared to alternative programmes including usual care or no intervention.
Search methods
We searched the Cochrane Central Register of Controlled Trials (CENTRAL, in the Cochrane Library Issue 3, 2014), MEDLINE (January 1966 to March 2014), EMBASE (January 1947 to March 2014), CINAHL (January 1983 to March, 2014), OSH‐ROM and OSH Update (January 1960 to March, 2014), PsycINFO (January 1806 to 25 March 2014), DARE (January 1995 to March, 2014), ClinicalTrials.gov, Trialregister.nl and Controlled‐trials.com up to 25 March 2014. We also examined the reference lists of included studies and selected reviews, and contacted authors of relevant studies.
Selection criteria
We included randomised controlled trials (RCTs) of the effectiveness of psycho‐educational, vocational, physical, medical or multidisciplinary interventions enhancing RTW in cancer patients. The primary outcome was RTW measured as either RTW rate or sick leave duration measured at 12 months' follow‐up. The secondary outcome was quality of life.
Data collection and analysis
Two review authors independently assessed trials for inclusion, assessed the risk of bias and extracted data. We pooled study results we judged to be clinically homogeneous in different comparisons reporting risk ratios (RRs) with 95% confidence intervals (CIs). We assessed the overall quality of the evidence for each comparison using the GRADE approach.
Main results
Fifteen RCTs including 1835 cancer patients met the inclusion criteria and because of multiple arms studies we included 19 evaluations. We judged six studies to have a high risk of bias and nine to have a low risk of bias. All included studies were conducted in high income countries and most studies were aimed at breast cancer patients (seven trials) or prostate cancer patients (two trials).
Two studies involved psycho‐educational interventions including patient education and teaching self‐care behaviours. Results indicated low quality evidence of similar RTW rates for psycho‐educational interventions compared to care as usual (RR 1.09, 95% CI 0.88 to 1.35, n = 260 patients) and low quality evidence that there is no difference in the effect of psycho‐educational interventions compared to care as usual on quality of life (standardised mean difference (SMD) 0.05, 95% CI ‐0.2 to 0.3, n = 260 patients). We did not find any studies on vocational interventions. In one study breast cancer patients were offered a physical training programme. Low quality evidence suggested that physical training was not more effective than care as usual in improving RTW (RR 1.20, 95% CI 0.32 to 4.54, n = 28 patients) or quality of life (SMD ‐0.37, 95% CI ‐0.99 to 0.25, n = 41 patients).
Seven RCTs assessed the effects of a medical intervention on RTW. In all studies a less radical or functioning conserving medical intervention was compared with a more radical treatment. We found low quality evidence that less radical, functioning conserving approaches had similar RTW rates as more radical treatments (RR 1.04, 95% CI 0.96 to 1.09, n = 1097 patients) and moderate quality evidence of no differences in quality of life outcomes (SMD 0.10, 95% CI ‐0.04 to 0.23, n = 1028 patients).
Five RCTs involved multidisciplinary interventions in which vocational counselling, patient education, patient counselling, biofeedback‐assisted behavioral training and/or physical exercises were combined. Moderate quality evidence showed that multidisciplinary interventions involving physical, psycho‐educational and/or vocational components led to higher RTW rates than care as usual (RR 1.11, 95% CI 1.03 to 1.16, n = 450 patients). We found no differences in the effect of multidisciplinary interventions compared to care as usual on quality of life outcomes (SMD 0.03, 95% CI ‐0.20 to 0.25, n = 316 patients).
Authors' conclusions
We found moderate quality evidence that multidisciplinary interventions enhance the RTW of patients with cancer.
Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. ...One of the essential problems in process mining is that
one cannot assume to have seen all possible behavior
. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to
exactly reproduce the log
. Existing process mining techniques try to avoid such “overfitting” by generalizing the model to allow for more behavior. This generalization is often driven by the representation language and very crude assumptions about completeness. As a result, parts of the model are “overfitting” (allow only for what has actually been observed) while other parts may be “underfitting” (allow for much more behavior without strong support for it). None of the existing techniques enables the user to control the balance between “overfitting” and “underfitting”. To address this, we propose a two-step approach. First, using a configurable approach, a transition system is constructed. Then, using the “theory of regions”, the model is synthesized. The approach has been implemented in the context of ProM and overcomes many of the limitations of traditional approaches.