Continuing education meetings and workshops: effects on professional practice and healthcare outcomes.

Educational meetings are used widely by health personnel to provide continuing medical education and to promote implementation of innovations or translate new knowledge to change practice within healthcare systems. Previous reviews have concluded that educational meetings can result in small changes in behaviour, but that effects vary considerably. Investigations into which characteristics of educational meetings might lead to greater impact have yielded varying results, and factors that might explain heterogeneity in effects remain unclear. This is the second update of this Cochrane Review. • To assess the effects of educational meetings on professional practice and healthcare outcomes • To investigate factors that might explain the heterogeneity of these effects SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, ERIC, Science Citation Index Expanded (ISI Web of Knowledge), and Social Sciences Citation Index (last search in November 2016). We sought randomised trials examining the effects of educational meetings on professional practice and patient outcomes. Two review authors independently extracted data and assessed risk of bias. One review author assessed the certainty of evidence (GRADE) and discussed with a second review author. We included studies in the primary analysis that reported baseline data and that we judged to be at low or unclear risk of bias. For each comparison of dichotomous outcomes, we measured treatment effect as risk difference adjusted for baseline compliance. We expressed adjusted risk difference values as percentages, and we noted that values greater than zero favour educational meetings. For continuous outcomes, we measured treatment effect as per cent change relative to the control group mean post test, adjusted for baseline performance; we expressed values as percentages and noted that values greater than zero favour educational meetings. We report means and 95% confidence intervals (CIs) and, when appropriate, medians and interquartile ranges to facilitate comparisons to previous versions of this review. We analysed professional and patient outcomes separately and analysed 22 variables that were hypothesised a priori to explain heterogeneity. We explored heterogeneity by using univariate meta-regression and by inspecting violin plots. We included 215 studies involving more than 28,167 health professionals, including 142 new studies for this update. Educational meetings as the single intervention or the main component of a multi-faceted intervention compared with no intervention • Probably slightly improve compliance with desired practice when compared with no intervention (65 comparisons, 7868 health professionals for dichotomous outcomes (adjusted risk difference 6.79%, 95% CI 6.62% to 6.97%; median 4.00%; interquartile range 0.29% to 13.00%); 28 comparisons, 2577 health professionals for continuous outcomes (adjusted relative percentage change 44.36%, 95% CI 41.98% to 46.75%; median 20.00%; interquartile range 6.00% to 65.00%)) • Probably slightly improve patient outcomes compared with no intervention (15 comparisons, 2530 health professionals for dichotomous outcomes (adjusted risk difference 3.30%, 95% CI 3.10% to 3.51%; median 0.10%; interquartile range 0.00% to 4.00%); 28 comparisons, 2294 health professionals for continuous outcomes (adjusted relative percentage change 8.35%, 95% CI 7.46% to 9.24%; median 2.00%; interquartile range -1.00% to 21.00%)) The certainty of evidence for this comparison is moderate. Educational meetings alone compared with other interventions • May improve compliance with desired practice when compared with other interventions (6 studies, 1402 health professionals for dichotomous outcomes (adjusted risk difference 9.99%, 95% CI 9.47% to 10.52%; median 16.5%; interquartile range 0.80% to 16.50%); 2 studies, 72 health professionals for continuous outcomes (adjusted relative percentage change 12.00%, 95% CI 9.16% to 14.84%; median 12.00%; interquartile range 0.00% to 24.00%)) No studies met the inclusion criteria for patient outcome measurements. The certainty of evidence for this comparison is low. Interactive educational meetings compared with didactic (lecture-based) educational meetings • We are uncertain of effects on compliance with desired practice (3 studies, 370 health professionals for dichotomous outcomes; 1 study, 192 health professionals for continuous outcomes) or on patient outcomes (1 study, 54 health professionals for continuous outcomes), as the certainty of evidence is very low Any other comparison of different formats and durations of educational meetings • We are uncertain of effects on compliance with desired practice (1 study, 19 health professionals for dichotomous outcomes; 1 study, 20 health professionals for continuous outcomes) or on patient outcomes (1 study, 113 health professionals for continuous outcomes), as the certainty of evidence is very low. Factors that might explain heterogeneity of effects Meta-regression suggests that larger estimates of effect are associated with studies judged to be at high risk of bias, with studies that had unit of analysis errors, and with studies in which the unit of analysis was the provider rather than the patient. Improved compliance with desired practice may be associated with: shorter meetings; poor baseline compliance; better attendance; shorter follow-up; professionals provided with additional take-home material; explicit building of educational meetings on theory; targeting of low- versus high-complexity behaviours; targeting of outcomes with high versus low importance; goal of increasing rather than decreasing behaviour; teaching by opinion leaders; and use of didactic versus interactive teaching methods. Pre-specified exploratory analyses of behaviour change techniques suggest that improved compliance with desired practice may be associated with use of a greater number of behaviour change techniques; goal-setting; provision of feedback; provision for social comparison; and provision for social support. Compliance may be decreased by the use of follow-up prompts, skills training, and barrier identification techniques. Compared with no intervention, educational meetings as the main component of an intervention probably slightly improve professional practice and, to a lesser extent, patient outcomes. Educational meetings may improve compliance with desired practice to a greater extent than other kinds of behaviour change interventions, such as text messages, fees, or office systems. Our findings suggest that multi-strategy approaches might positively influence the effects of educational meetings. Additional trials of educational meetings compared with no intervention are unlikely to change the review findings; therefore we will not further update this review comparison in the future. However, we note that randomised trials comparing different types of education are needed.

Forsetlund L ，O'Brien MA ，Forsén L ，Reinar LM ，Okwen MP ，Horsley T ，Rose CJ ... -  《Cochrane Database of Systematic Reviews》

Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences.

About 20-30% of older adults (≥ 65 years old) experience one or more falls each year, and falls are associated with substantial burden to the health care system, individuals, and families from resulting injuries, fractures, and reduced functioning and quality of life. Many interventions for preventing falls have been studied, and their effectiveness, factors relevant to their implementation, and patient preferences may determine which interventions to use in primary care. The aim of this set of reviews was to inform recommendations by the Canadian Task Force on Preventive Health Care (task force) on fall prevention interventions. We undertook three systematic reviews to address questions about the following: (i) the benefits and harms of interventions, (ii) how patients weigh the potential outcomes (outcome valuation), and (iii) patient preferences for different types of interventions, and their attributes, shown to offer benefit (intervention preferences). We searched four databases for benefits and harms (MEDLINE, Embase, AgeLine, CENTRAL, to August 25, 2023) and three for outcome valuation and intervention preferences (MEDLINE, PsycINFO, CINAHL, to June 9, 2023). For benefits and harms, we relied heavily on a previous review for studies published until 2016. We also searched trial registries, references of included studies, and recent reviews. Two reviewers independently screened studies. The population of interest was community-dwelling adults ≥ 65 years old. We did not limit eligibility by participant fall history. The task force rated several outcomes, decided on their eligibility, and provided input on the effect thresholds to apply for each outcome (fallers, falls, injurious fallers, fractures, hip fractures, functional status, health-related quality of life, long-term care admissions, adverse effects, serious adverse effects). For benefits and harms, we included a broad range of non-pharmacological interventions relevant to primary care. Although usual care was the main comparator of interest, we included studies comparing interventions head-to-head and conducted a network meta-analysis (NMAs) for each outcome, enabling analysis of interventions lacking direct comparisons to usual care. For benefits and harms, we included randomized controlled trials with a minimum 3-month follow-up and reporting on one of our fall outcomes (fallers, falls, injurious fallers); for the other questions, we preferred quantitative data but considered qualitative findings to fill gaps in evidence. No date limits were applied for benefits and harms, whereas for outcome valuation and intervention preferences we included studies published in 2000 or later. All data were extracted by one trained reviewer and verified for accuracy and completeness. For benefits and harms, we relied on the previous review team's risk-of-bias assessments for benefit outcomes, but otherwise, two reviewers independently assessed the risk of bias (within and across study). For the other questions, one reviewer verified another's assessments. Consensus was used, with adjudication by a lead author when necessary. A coding framework, modified from the ProFANE taxonomy, classified interventions and their attributes (e.g., supervision, delivery format, duration/intensity). For benefit outcomes, we employed random-effects NMA using a frequentist approach and a consistency model. Transitivity and coherence were assessed using meta-regressions and global and local coherence tests, as well as through graphical display and descriptive data on the composition of the nodes with respect to major pre-planned effect modifiers. We assessed heterogeneity using prediction intervals. For intervention-related adverse effects, we pooled proportions except for vitamin D for which we considered data in the control groups and undertook random-effects pairwise meta-analysis using a relative risk (any adverse effects) or risk difference (serious adverse effects). For outcome valuation, we pooled disutilities (representing the impact of a negative event, e.g. fall, on one's usual quality of life, with 0 = no impact and 1 = death and ~ 0.05 indicating important disutility) from the EQ-5D utility measurement using the inverse variance method and a random-effects model and explored heterogeneity. When studies only reported other data, we compared the findings with our main analysis. For intervention preferences, we used a coding schema identifying whether there were strong, clear, no, or variable preferences within, and then across, studies. We assessed the certainty of evidence for each outcome using CINeMA for benefit outcomes and GRADE for all other outcomes. A total of 290 studies were included across the reviews, with two studies included in multiple questions. For benefits and harms, we included 219 trials reporting on 167,864 participants and created 59 interventions (nodes). Transitivity and coherence were assessed as adequate. Across eight NMAs, the number of contributing trials ranged between 19 and 173, and the number of interventions ranged from 19 to 57. Approximately, half of the interventions in each network had at least low certainty for benefit. The fallers outcome had the highest number of interventions with moderate certainty for benefit (18/57). For the non-fall outcomes (fractures, hip fracture, long-term care [LTC] admission, functional status, health-related quality of life), many interventions had very low certainty evidence, often from lack of data. We prioritized findings from 21 interventions where there was moderate certainty for at least some benefit. Fourteen of these had a focus on exercise, the majority being supervised (for > 2 sessions) and of long duration (> 3 months), and with balance/resistance and group Tai Chi interventions generally having the most outcomes with at least low certainty for benefit. None of the interventions having moderate certainty evidence focused on walking. Whole-body vibration or home-hazard assessment (HHA) plus exercise provided to everyone showed moderate certainty for some benefit. No multifactorial intervention alone showed moderate certainty for any benefit. Six interventions only had very-low certainty evidence for the benefit outcomes. Two interventions had moderate certainty of harmful effects for at least one benefit outcome, though the populations across studies were at high risk for falls. Vitamin D and most single-component exercise interventions are probably associated with minimal adverse effects. Some uncertainty exists about possible adverse effects from other interventions. For outcome valuation, we included 44 studies of which 34 reported EQ-5D disutilities. Admission to long-term care had the highest disutility (1.0), but the evidence was rated as low certainty. Both fall-related hip (moderate certainty) and non-hip (low certainty) fracture may result in substantial disutility (0.53 and 0.57) in the first 3 months after injury. Disutility for both hip and non-hip fractures is probably lower 12 months after injury (0.16 and 0.19, with high and moderate certainty, respectively) compared to within the first 3 months. No study measured the disutility of an injurious fall. Fractures are probably more important than either falls (0.09 over 12 months) or functional status (0.12). Functional status may be somewhat more important than falls. For intervention preferences, 29 studies (9 qualitative) reported on 17 comparisons among single-component interventions showing benefit. Exercise interventions focusing on balance and/or resistance training appear to be clearly preferred over Tai Chi and other forms of exercise (e.g., yoga, aerobic). For exercise programs in general, there is probably variability among people in whether they prefer group or individual delivery, though there was high certainty that individual was preferred over group delivery of balance/resistance programs. Balance/resistance exercise may be preferred over education, though the evidence was low certainty. There was low certainty for a slight preference for education over cognitive-behavioral therapy, and group education may be preferred over individual education. To prevent falls among community-dwelling older adults, evidence is most certain for benefit, at least over 1-2 years, from supervised, long-duration balance/resistance and group Tai Chi interventions, whole-body vibration, high-intensity/dose education or cognitive-behavioral therapy, and interventions of comprehensive multifactorial assessment with targeted treatment plus HHA, HHA plus exercise, or education provided to everyone. Adding other interventions to exercise does not appear to substantially increase benefits. Overall, effects appear most applicable to those with elevated fall risk. Choice among effective interventions that are available may best depend on individual patient preferences, though when implementing new balance/resistance programs delivering individual over group sessions when feasible may be most acceptable. Data on more patient-important outcomes including fall-related fractures and adverse effects would be beneficial, as would studies focusing on equity-deserving populations and on programs delivered virtually. Not registered.

Pillay J ，Gaudet LA ，Saba S ，Vandermeer B ，Ashiq AR ，Wingert A ，Hartling L ... -  《Systematic Reviews》

Strategies to improve smoking cessation rates in primary care.

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials). To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers. We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020. We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer. We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs). We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation. There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

Lindson N ，Pritchard G ，Hong B ，Fanshawe TR ，Pipe A ，Papadakis S ... -  《Cochrane Database of Systematic Reviews》

Educational and psychological interventions for managing atopic dermatitis (eczema).

Atopic dermatitis (eczema), can have a significant impact on well-being and quality of life for affected people and their families. Standard treatment is avoidance of triggers or irritants and regular application of emollients and topical steroids or calcineurin inhibitors. Thorough physical and psychological assessment is central to good-quality treatment. Overcoming barriers to provision of holistic treatment in dermatological practice is dependent on evaluation of the efficacy and economics of both psychological and educational interventions in this participant group. This review is based on a previous Cochrane review published in 2014, and now includes adults as well as children. To assess the clinical outcomes of educational and psychological interventions in children and adults with atopic dermatitis (eczema) and to summarise the availability and principal findings of relevant economic evaluations. We searched the Cochrane Skin Specialised Register, CENTRAL, MEDLINE, Embase, APA PsycINFO and two trials registers up to March 2023. We checked the reference lists of included studies and related systematic reviews for further references to relevant randomised controlled trials (RCTs) and contacted experts in the field to identify additional studies. We searched NHS Economic Evaluation Database, MEDLINE and Embase for economic evaluations on 8 June 2022. Randomised, cluster-randomised and cross-over RCTs that assess educational and psychological interventions for treating eczema in children and adults. We used standard Cochrane methods, with GRADE to assess the certainty of the evidence for each outcome. Primary outcomes were reduction in disease severity, as measured by clinical signs, patient-reported symptoms and improvement in health-related quality-of-life (HRQoL) measures. Secondary outcomes were improvement in long-term control of symptoms, improvement in psychological well-being, improvement in standard treatment concordance and adverse events. We assessed short- (up to 16 weeks after treatment) and long-term time points (more than 16 weeks). We included 37 trials (6170 participants). Most trials were conducted in high-income countries (34/37), in outpatient settings (25/37). We judged three trials to be low risk of bias across all domains. Fifteen trials had a high risk of bias in at least one domain, mostly due to bias in measurement of the outcome. Trials assessed interventions compared to standard care. Individual educational interventions may reduce short-term clinical signs (measured by SCORing Atopic Dermatitis (SCORAD); mean difference (MD) -5.70, 95% confidence interval (CI) -9.39 to -2.01; 1 trial, 30 participants; low-certainty evidence) but patient-reported symptoms, HRQoL, long-term eczema control and psychological well-being were not reported. Group education interventions probably reduce clinical signs (SCORAD) both in the short term (MD -9.66, 95% CI -19.04 to -0.29; 3 studies, 731 participants; moderate-certainty evidence) and the long term (MD -7.22, 95% CI -11.01 to -3.43; 3 studies, 1424 participants; moderate-certainty evidence) and probably reduce long-term patient-reported symptoms (SMD -0.47 95% CI -0.60 to -0.33; 2 studies, 908 participants; moderate-certainty evidence). They may slightly improve short-term HRQoL (SMD -0.19, 95% CI -0.36 to -0.01; 4 studies, 746 participants; low-certainty evidence), but may make little or no difference to short-term psychological well-being (Perceived Stress Scale (PSS); MD -2.47, 95% CI -5.16 to 0.22; 1 study, 80 participants; low-certainty evidence). Long-term eczema control was not reported. We don't know whether technology-mediated educational interventions could improve short-term clinical signs (SCORAD; 1 study; 29 participants; very low-certainty evidence). They may have little or no effect on short-term patient-reported symptoms (Patient Oriented Eczema Measure (POEM); MD -0.76, 95% CI -1.84 to 0.33; 2 studies; 195 participants; low-certainty evidence) and probably have little or no effect on short-term HRQoL (MD 0, 95% CI -0.03 to 0.03; 2 studies, 430 participants; moderate-certainty evidence). Technology-mediated education interventions probably slightly improve long-term eczema control (Recap of atopic eczema (RECAP); MD -1.5, 95% CI -3.13 to 0.13; 1 study, 232 participants; moderate-certainty evidence), and may improve short-term psychological well-being (MD -1.78, 95% CI -2.13 to -1.43; 1 study, 24 participants; low-certainty evidence). Habit reversal treatment may reduce short-term clinical signs (SCORAD; MD -6.57, 95% CI -13.04 to -0.1; 1 study, 33 participants; low-certainty evidence) but we are uncertain about any effects on short-term HRQoL (Children's Dermatology Life Quality Index (CDLQI); 1 study, 30 participants; very low-certainty evidence). Patient-reported symptoms, long-term eczema control and psychological well-being were not reported. We are uncertain whether arousal reduction therapy interventions could improve short-term clinical signs (Eczema Area and Severity Index (EASI); 1 study, 24 participants; very low-certainty evidence) or patient-reported symptoms (visual analogue scale (VAS); 1 study, 18 participants; very low-certainty evidence). Arousal reduction therapy may improve short-term HRQoL (Dermatitis Family Impact (DFI); MD -2.1, 95% CI -4.41 to 0.21; 1 study, 91 participants; low-certainty evidence) and psychological well-being (PSS; MD -1.2, 95% CI -3.38 to 0.98; 1 study, 91 participants; low-certainty evidence). Long-term eczema control was not reported. No studies reported standard care compared with self-help psychological interventions, psychological therapies or printed education; or adverse events. We identified two health economic studies. One found that a 12-week, technology-mediated, educational-support programme may be cost neutral. The other found that a nurse practitioner group-education intervention may have lower costs than standard care provided by a dermatologist, with comparable effectiveness. In-person, individual education, as an adjunct to conventional topical therapy, may reduce short-term eczema signs compared to standard care, but there is no information on eczema symptoms, quality of life or long-term outcomes. Group education probably reduces eczema signs and symptoms in the long term and may also improve quality of life in the short term. Favourable effects were also reported for technology-mediated education, habit reversal treatment and arousal reduction therapy. All favourable effects are of uncertain clinical significance, since they may not exceed the minimal clinically important difference (MCID) for the outcome measures used (MCID 8.7 points for SCORAD, 3.4 points for POEM). We found no trials of self-help psychological interventions, psychological therapies or printed education. Future trials should include more diverse populations, address shared priorities, evaluate long-term outcomes and ensure patients are involved in trial design.

Singleton H ，Hodder A ，Almilaji O ，Ersser SJ ，Heaslip V ，O'Meara S ，Boyers D ，Roberts A ，Scott H ，Van Onselen J ，Doney L ，Boyle RJ ，Thompson AR ... -  《Cochrane Database of Systematic Reviews》

Healthcare workers' informal uses of mobile phones and other mobile devices to support their work: a qualitative evidence synthesis.

Healthcare workers sometimes develop their own informal solutions to deliver services. One such solution is to use their personal mobile phones or other mobile devices in ways that are unregulated by their workplace. This can help them carry out their work when their workplace lacks functional formal communication and information systems, but it can also lead to new challenges. To explore the views, experiences, and practices of healthcare workers, managers and other professionals working in healthcare services regarding their informal, innovative uses of mobile devices to support their work. We searched MEDLINE, Embase, CINAHL and Scopus on 11 August 2022 for studies published since 2008 in any language. We carried out citation searches and contacted study authors to clarify published information and seek unpublished data. We included qualitative studies and mixed-methods studies with a qualitative component. We included studies that explored healthcare workers' views, experiences, and practices regarding mobile phones and other mobile devices, and that included data about healthcare workers' informal use of these devices for work purposes. We extracted data using an extraction form designed for this synthesis, assessed methodological limitations using predefined criteria, and used a thematic synthesis approach to synthesise the data. We used the 'street-level bureaucrat' concept to apply a conceptual lens to our findings and prepare a line of argument that links these findings. We used the GRADE-CERQual approach to assess our confidence in the review findings and the line-of-argument statements. We collaborated with relevant stakeholders when defining the review scope, interpreting the findings, and developing implications for practice. We included 30 studies in the review, published between 2013 and 2022. The studies were from high-, middle- and low-income countries and covered a range of healthcare settings and healthcare worker cadres. Most described mobile phone use as opposed to other mobile devices, such as tablets. We have moderate to high confidence in the statements in the following line of argument. The healthcare workers in this review, like other 'street-level bureaucrats', face a gap between what is expected of them and the resources available to them. To plug this gap, healthcare workers develop their own strategies, including using their own mobile phones, data and airtime. They also use other personal resources, including their personal time when taking and making calls outside working hours, and their personal networks when contacting others for help and advice. In some settings, healthcare workers' personal phone use, although unregulated, has become a normal part of many work processes. Some healthcare workers therefore experience pressure or expectations from colleagues and managers to use their personal phones. Some also feel driven to use their phones at work and at home because of feelings of obligation towards their patients and colleagues. At best, healthcare workers' use of their personal phones, time and networks helps humanise healthcare. It allows healthcare workers to be more flexible, efficient and responsive to the needs of the patient. It can give patients access to individual healthcare workers rather than generic systems and can help patients keep their sensitive information out of the formal system. It also allows healthcare workers to communicate with each other in more personalised, socially appropriate ways than formal systems allow. All of this can strengthen healthcare workers' relationships with community members and colleagues. However, these informal approaches can also replicate existing social hierarchies and deepen existing inequities among healthcare workers. Personal phone use costs healthcare workers money. This is a particular problem for lower-level healthcare workers and healthcare workers in low-income settings as they are likely to be paid less and may have less access to work phones or compensation. Out-of-hours use may also be more of a burden for lower-level healthcare workers, as they may find it harder to ignore calls when they are at home. Healthcare workers with poor access to electricity and the internet are less able to use informal mobile phone solutions, while healthcare workers who lack skills and training in how to appraise unendorsed online information are likely to struggle to identify trustworthy information. Informal digital channels can help healthcare workers expand their networks. But healthcare workers who rely on personal networks to seek help and advice are at a disadvantage if these networks are weak. Healthcare workers' use of their personal resources can also lead to problems for patients and can benefit some patients more than others. For instance, when healthcare workers store and share patient information on their personal phones, the confidentiality of this information may be broken. In addition, healthcare workers may decide to use their personal resources on some types of patients, but not others. Healthcare workers sometimes describe using their personal phones and their personal time and networks to help patients and clients whom they assess as being particularly in need. These decisions are likely to reflect their own values and ideas, for instance about social equity and patient 'worthiness'. But these may not necessarily reflect the goals, ideals and regulations of the formal healthcare system. Finally, informal mobile phone use plugs gaps in the system but can also weaken the system. The storing and sharing of information on personal phones and through informal channels can represent a 'shadow IT' (information technology) system where information about patient flow, logistics, etc., is not recorded in the formal system. Healthcare workers may also be more distracted at work, for instance, by calls from colleagues and family members or by social media use. Such challenges may be particularly difficult for weak healthcare systems. By finding their own informal solutions to workplace challenges, healthcare workers can be more efficient and more responsive to the needs of patients, colleagues and themselves. But these solutions also have several drawbacks. Efforts to strengthen formal health systems should consider how to retain the benefits of informal solutions and reduce their negative effects.

Glenton C ，Paulsen E ，Agarwal S ，Gopinathan U ，Johansen M ，Kyaddondo D ，Munabi-Babigumira S ，Nabukenya J ，Nakityo I ，Namaganda R ，Namitala J ，Neumark T ，Nsangi A ，Pakenham-Walsh NM ，Rashidian A ，Royston G ，Sewankambo N ，Tamrat T ，Lewin S ... -  《Cochrane Database of Systematic Reviews》