Mobile health application to assist doctors in antibiotic prescription – an approach for antibiotic stewardship

Integration of population-level data sources into an individual-level clinical prediction model for dengue virus test positivity

The differentiation of dengue virus (DENV) infection, a major cause of acute febrile illness in tropical regions, from other etiologies, may help prioritize laboratory testing and limit the inappropriate use of antibiotics. While traditional clinical prediction models focus on individual patient-level parameters, we hypothesize that for infectious diseases, population-level data sources may improve predictive ability. To create a clinical prediction model that integrates patient-extrinsic data for identifying DENV among febrile patients presenting to a hospital in Thailand, we fit random forest classifiers combining clinical data with climate and population-level epidemiologic data. In cross-validation, compared to a parsimonious model with the top clinical predictors, a model with the addition of climate data, reconstructed susceptibility estimates, force of infection estimates, and a recent case clustering metric significantly improved model performance.

Network meta-analysis of antibiotic resistance patterns in gram-negative bacterial infections: a comparative study of carbapenems, fluoroquinolones, and aminoglycosides

Introduction

Antimicrobial resistance poses a grave global threat, particularly with the emergence of multidrug-resistant gram-negative bacterial infections, which severely limit treatment options. The increasing global threat of antimicrobial resistance demands rigorous investigation, particularly concerning multidrug-resistant gram-negative bacterial infections that present limited therapeutic options. This study employed a network meta-analysis, a powerful tool for comparative effectiveness assessment of diverse antibiotics. The primary aim of this study was to comprehensively evaluate and compare resistance patterns among widely used antibiotic classes, namely carbapenems, fluoroquinolones, and aminoglycosides, for combating gram-negative pathogens.

Methods

We searched PubMed, Web of Sciences, Scopus, Scholarly, Medline, Embase, and Cochrane databases up to August 27, 2023. Studies showing antibiotic resistance in clinical isolates of Enterobacteriaceae, Pseudomonas aeruginosa, and Acinetobacter baumannii exposed to carbapenems, fluoroquinolones, and aminoglycosides were included. This study determined treatment-specific resistance percentages and ranked these treatments based on resistance using a random-effects network meta-analysis technique. To investigate the impact of the study and pathogen features, subgroup and meta-regression analyses were performed. Risk ratios and 95% confidence intervals (CIs) were calculated using a network meta-analysis (NMA) incorporating both direct and indirect evidence. Clinical improvement, cure, microbiological eradication, and death from any cause were the primary outcomes. Nephrotoxicity was a secondary result.

Results

The analysis included 202 publications and 365,782 gram-negative isolates. The NMA included data from 20 studies and 4,835 patients. Carbapenems had the lowest resistance rates throughout the pathogen spectrum, with resistance percentages of 17.1, 22.4, and 33.5% for Enterobacteriaceae, P. aeruginosa, and A. baumannii, respectively. For the same infections, aminoglycosides showed resistance rates of 28.2, 39.1, and 50.2%, respectively. Fluoroquinolones had the highest resistance rates at 43.1, 57.3, and 65.7%, respectively. Unexpectedly, resistance to all three antibiotic classes has increased over time, with multidrug resistance being the most prevalent.

Conclusion

This extensive network meta-analysis provides an overview of the patterns of resistance throughout the world and how they are changing. The most effective choice is still carbapenems, but the increasing resistance highlights the critical need for multimodal therapies to protect antibiotic effectiveness against these powerful gram-negative infections.

Exploring drivers and challenges influencing antibiotic prescribing in outpatient settings and possible mitigation strategies in the United Arab Emirates: a qualitative study

Objectives

Healthcare institutions implement antimicrobial stewardship (AMS) programmes to optimize the use of antibiotics. The focus is often on inpatient rather than outpatient settings. We aimed to explore perceptions of AMS stakeholders on effective interventions for appropriate antibiotic use in outpatient settings, and the role of clinical pharmacists in the AMS multidisciplinary team.

Methods

A qualitative semi-structured interview study using thematic analysis by two researchers independently. Participants that practice AMS programmes were recruited from healthcare facilities in the United Arab Emirates (UAE). Interviews were conducted face to face or online and transcribed verbatim.

Results

Four themes emerged: (i) Perceived factors leading to unnecessary or inappropriate antibiotic prescribing and their impact on patients and the community; (ii) current outpatient AMS activities and perceived barriers and facilitators for their sustainability; (iii) suggested outpatient AMS strategies to be implemented in outpatient settings; and (iv) perceived future AMS implementation barriers and suggested mitigation strategies.

Conclusions

Several AMS interventions, together with the presence of a clinical pharmacist, may be effective in improving antibiotic use in UAE outpatient settings. Future research should investigate the most appropriate AMS strategy considering barriers and possible mitigation strategies to ensure sustainability.

mHealth app usage amongst paediatric department doctors in South Africa

Background

Smartphone and mobile health (mHealth) applications (apps) have become an integral part of the day-to-day function of healthcare professionals, allowing quick, comprehensive, and up-to-date access to current clinical guidelines and other reference material.

Objective

To evaluate the extent and nature of use of mHealth apps by paediatric department doctors in South Africa.

Methods

E-mails requesting study participation were sent out to 285 paediatric department doctors employed at six hospitals affiliated to the University of the Witwatersrand. Willing participants were directed to complete the online study questionnaire.

Results

A total of 150 respondents completed the questionnaire. All respondents owned a mobile device and already had one or more mHealth apps, 95.3% were unaware of any regulatory body responsible for regulating the use of mHealth apps, 86.0% did not have access to free Wi-Fi at work and 87.3% used an mHealth app at least once daily. Drug dosing (81.3%), diagnostic (59.3%) and clinical decision-making (44.7%) apps were the most common app categories with Medscape® (62.0%) and EMGuidance® (41.3%) being the most frequently used apps. Peer recommendation (76.0%), app credibility (74.0%) and app functionality (66.0%) were the most common factors that were considered by respondents prior to downloading or using an mHealth app.

Conclusion

Medical apps are frequently used among paediatric medical doctors of all ranks. Drug dosing, diagnostic and clinical decision-making apps are the most common app categories in use. Improved awareness of the regulations pertaining to the use of mHealth apps amongst doctors is required.

Integration of population-level data sources into an individual-level clinical prediction model for dengue virus test positivity

The differentiation of dengue virus (DENV) infection, a major cause of acute febrile illness in tropical regions, from other etiologies, may help prioritize laboratory testing and limit the inappropriate use of antibiotics. While traditional clinical prediction models focus on individual patient-level parameters, we hypothesize that for infectious diseases, population-level data sources may improve predictive ability. To create a clinical prediction model that integrates patient-extrinsic data for identifying DENV among febrile patients presenting to a hospital in Thailand, we fit random forest classifiers combining clinical data with climate and population-level epidemiologic data. In cross validation, compared to a parsimonious model with the top clinical predictors, a model with the addition of climate data, reconstructed susceptibility estimates, force of infection estimates, and a recent case clustering metric, significantly improved model performance.

Making the APPropriate choice: Utilization of a smartphone application to optimize antimicrobial decisions among internal medicine trainees

Utilization of a smart phone application paired with a time-spaced learning curriculum was investigated to determine its impact on antimicrobial stewardship practice among internal medicine trainees. Stewardship behaviors increased, barriers decreased, and trainees had increased confidence in managing common infectious disease syndromes after the intervention.

Antibiotic prescription using a digital decision support system: a register-based study of patients with hard-to-heal ulcers in Sweden

OBJECTIVES

To investigate differences in antibiotic prescription for patients with hard-to-heal ulcers assessed using a digital decision support system (DDSS) compared with those assessed without using a DDSS. A further aim was to examine predictors for antibiotic prescription.

DESIGN

Register-based study.

SETTING

In 2018-2019, healthcare staff in primary, community and specialist care in Sweden tested a DDSS that offers a mobile application for data and photograph transfer to a platform for multidisciplinary consultation and automatic transmission of data to the Registry of Ulcer Treatment (RUT). Register-based data from patients assessed and diagnosed using the DDSS combined with the RUT was compared with register-based data from patients whose assessments were merely registered in the RUT.

PARTICIPANTS

A total of 117 patients assessed using the DDSS combined with the RUT (the study group) were compared with 1784 patients whose assessments were registered in the RUT without using the DDSS (the control group).

PRIMARY AND SECONDARY OUTCOME MEASURES

The differences in antibiotic prescription were analysed using the Pearson's χ² test. A logistic regression analysis was used to check for influencing factors on antibiotic prescription.

RESULTS

Patients assessed using a DDSS in combination with the RUT had significantly lower antibiotic prescription than patients entered in the RUT without using the DDSS (8% vs 26%) (p=0.002) (only healed ulcers included). Predictors for antibiotic prescription were diabetes; long healing time; having an arterial, neuropathic or malignant ulcer.

CONCLUSIONS

A DDSS with data and photograph transfer that enables multidisciplinary communication appears to be a suitable tool to reduce antibiotic prescription for patients with hard-to-heal ulcers.

Diagnosis and management of infections caused by multidrug-resistant bacteria: guideline endorsed by the Italian Society of Infection and Tropical Diseases (SIMIT), the Italian Society of Anti-Infective Therapy (SITA), the Italian Group for Antimicrobial Stewardship (GISA), the Italian Association of Clinical Microbiologists (AMCLI) and the Italian Society of Microbiology (SIM)

Management of patients with infections caused by multidrug-resistant organisms is challenging and requires a multidisciplinary approach to achieve successful clinical outcomes. The aim of this paper is to provide recommendations for the diagnosis and optimal management of these infections, with a focus on targeted antibiotic therapy. The document was produced by a panel of experts nominated by the five endorsing Italian societies, namely the Italian Association of Clinical Microbiologists (AMCLI), the Italian Group for Antimicrobial Stewardship (GISA), the Italian Society of Microbiology (SIM), the Italian Society of Infectious and Tropical Diseases (SIMIT) and the Italian Society of Anti-Infective Therapy (SITA). Population, Intervention, Comparison and Outcomes (PICO) questions about microbiological diagnosis, pharmacological strategies and targeted antibiotic therapy were addressed for the following pathogens: carbapenem-resistant Enterobacterales; carbapenem-resistant Pseudomonas aeruginosa; carbapenem-resistant Acinetobacter baumannii; and methicillin-resistant Staphylococcus aureus. A systematic review of the literature published from January 2011 to November 2020 was guided by the PICO strategy. As data from randomised controlled trials (RCTs) were expected to be limited, observational studies were also reviewed. The certainty of evidence was classified using the GRADE approach. Recommendations were classified as strong or conditional. Detailed recommendations were formulated for each pathogen. The majority of available RCTs have serious risk of bias, and many observational studies have several limitations, including small sample size, retrospective design and presence of confounders. Thus, some recommendations are based on low or very-low certainty of evidence. Importantly, these recommendations should be continually updated to reflect emerging evidence from clinical studies and real-world experience.

External validation of a mobile clinical decision support system for diarrhea etiology prediction in children: a multicenter study in Bangladesh and Mali

Background: Diarrheal illness is a leading cause of antibiotic use for children in low- and middle-income countries. Determination of diarrhea etiology at the point-of-care without reliance on laboratory testing has the potential to reduce inappropriate antibiotic use.

Methods: This prospective observational study aimed to develop and externally validate the accuracy of a mobile software application ('App') for the prediction of viral-only etiology of acute diarrhea in children 0-59 months in Bangladesh and Mali. The App used a previously derived and internally validated model consisting of patient-specific ('present patient') clinical variables (age, blood in stool, vomiting, breastfeeding status, and mid-upper arm circumference) as well as location-specific viral diarrhea seasonality curves. The performance of additional models using the 'present patient' data combined with other external data sources including location-specific climate, data, recent patient data, and historical population-based prevalence were also evaluated in secondary analysis. Diarrhea etiology was determined with TaqMan Array Card using episode-specific attributable fraction (AFe) >0.5.

Results: Of 302 children with acute diarrhea enrolled, 199 had etiologies above the AFe threshold. Viral-only pathogens were detected in 22% of patients in Mali and 63% in Bangladesh. Rotavirus was the most common pathogen detected (16% Mali; 60% Bangladesh). The present patient + viral seasonality model had an AUC of 0.754 (0.665-0.843) for the sites combined, with calibration-in-the-large α=-0.393 (-0.455 - -0.331) and calibration slope β=1.287 (1.207 - 1.367). By site, the present patient + recent patient model performed best in Mali with an AUC of 0.783 (0.705 - 0.86); the present patient + viral seasonality model performed best in Bangladesh with AUC 0.710 (0.595 - 0.825).

Conclusion: The App accurately identified children with high likelihood of viral-only diarrhea etiology. Further studies to evaluate the App's potential use in diagnostic and antimicrobial stewardship are underway.

Funding: Funding for this study was provided through grants from the Bill and Melinda Gates Foundation (OPP1198876) and the National Institute of Allergy and Infectious Diseases (R01AI135114). Several investigators were also partially supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK116163). This investigation was also supported by the University of Utah Population Health Research (PHR) Foundation, with funding in part from the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR002538. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in the study design, data collection, data analysis, interpretation of data, or in the writing or decision to submit the manuscript for publication.

The impact of monitoring software on antimicrobial management in a pediatric intensive care unit

INTRODUCTION

Antimicrobial stewardship programs are necessary practices to combat resistance in hospital infections. However, studies frequently cite the scarcity of technological resources as an obstacle to the comprehensive development of ASPs.

OBJECTIVES

The aim of the study was to assess the impact of monitoring software on reducing antibiotic consumption and reducing resistance in a pediatric intensive care unit.

METHODS

We conducted an analytical longitudinal study during the period January 1, 2007, to December 31, 2018, in the pediatric intensive care unit of a high-complexity tertiary general hospital in Brazil.

RESULTS

In the period after the implementation of software, we observed decreases in total antimicrobial consumption (P = .037). Regarding Enterobacterales, we observed a decrease in the proportion of antimicrobial resistance of first and second-generation cephalosporin classes (P = .041) and third and fourth-generation cephalosporins (P = .028). There was a decrease in the proportion of resistance of nonfermenting gram-negative bacilli to aminoglycoside scans (P = .016). We also observed evidence of a decrease in the proportion of resistance of Staphylococcus aureus agents to oxacillin (P < .001).

CONCLUSIONS

The monitoring software reduced the total consumption of antimicrobials and decreased the proportion of resistance, therefore demonstrating its importance in controlling the development of multidrug-resistant bacteria.

'It makes life so much easier'-experiences of users of the MicroGuide™ smartphone app for improving antibiotic prescribing behaviour in UK hospitals: an interview study

Objectives

To understand the impact on prescribing behaviour of an antimicrobial therapy guidelines smartphone app, in widespread use in hospitals in the UK.

Methods

Twenty-eight doctors and five nurse prescribers from four purposively selected hospitals in the UK participated in behavioural theory-informed semi-structured interviews about their experiences of using the MicroGuide™ smartphone app. Data were analysed using a thematic content analysis.

Results

Five themes emerged from the interview data: convenience and accessibility; validation of prescribing decisions; trust in app content; promotion of antimicrobial stewardship; and limitations and concerns. Participants appreciated the perceived convenience, accessibility and timesaving attributes of the app, potentially contributing to more prompt treatment of patients with time-critical illness. The interviewees also reported finding it reassuring to use the app to support decision-making and to validate existing knowledge. They trusted the app content authored by local experts and considered it to be evidence-based and up-to-date. This was believed to result in fewer telephone calls to the microbiology department for advice. Participants recognized the value of the app for supporting the goals of antimicrobial stewardship by promoting the responsible and proportionate use of antimicrobials. Finally, a number of limitations of the app were reported, including the risk of de-skilling trainees, cultural problems with using smartphones in clinical environments and software technical problems.

Conclusions

The MicroGuide app was valued as a means of addressing an unmet need for updated, concise, trustworthy specialist information in an accessible format at the bedside to support safe and effective antimicrobial prescribing.

Antimicrobial stewardship solutions with a smart innovative tool

BACKGROUND

Antimicrobial consumption has been increasing lately. Hence, effective strategies are required to control antimicrobial use and decrease the development of antimicrobial resistance.

OBJECTIVE

To evaluate the impact of the use of a mobile app on the implementation of antimicrobial stewardship program (ASP) interventions.

METHODS

This was a longitudinal study conducted at El-Nile Badrawi Hospital in Cairo, Egypt, on inpatients receiving antimicrobials from January 2018 to December 2019. The study included 2 phases: the preimplementation phase, which included a paper-based ASP developed according to the Centers for Disease Control and Prevention Core Elements of Hospital Antibiotic Stewardship Programs 2014, and the mobile app phase where the MEDIcare Pro mobile app was developed and used in ASP intervention implementation. The study outcomes were antimicrobial consumption and cost, length of hospital and intensive care unit (ICU) stay, 30-day mortality rate and readmission rate, and detection of drug-related problems (DRPs).

RESULTS

The mobile app statistically significantly decreased antimicrobial consumption from 75.1 defined daily dose (DDD)/100 bed-days in the preimplementation phase to 64.65 DDD/100 bed-days in the mobile app phase, with a total cost savings of E£1,237,476. There was a significant reduction in the length of ICU stay, with a mean difference of 1.63 days between the 2 phases, but no significance was detected regarding length of hospital stay or readmission rate. There was a statistically significant decrease in mortality rate from 1.17% in the preimplementation phase to 0.83% in the mobile app phase (P = 0.02). The frequency of DRPs detected by pharmacists statistically significantly increased from 0.54/100 bed-days in the preimplementation phase to 3.23/100 bed-days in the mobile app phase.

CONCLUSION

The use of a mobile app was found to be effective, applicable, and usable in guiding health professionals on rational antimicrobial use.

Patterns of use and perceptions of an institution-specific antibiotic stewardship application among emergency department and urgent care clinicians

We surveyed emergency department and urgent care clinicians to assess patterns of use and perceived usefulness of a local antibiotic stewardship application to deliver institution-specific prescribing guidance. Among 114 eligible respondents, the application was widely utilized, and it was perceived to be a useful clinical resource that improved prescribing.

Linking antimicrobial resistance surveillance to antibiotic policy in healthcare settings: the COMBACTE-Magnet EPI-Net COACH project

OBJECTIVES

To systematically summarize the evidence on how to collect, analyse and report antimicrobial resistance (AMR) surveillance data to inform antimicrobial stewardship (AMS) teams providing guidance on empirical antibiotic treatment in healthcare settings.

METHODS

The research group identified 10 key questions about the link between AMR surveillance and AMS using a checklist of 9 elements for good practice in health research priority settings and a modified 3D combined approach matrix, and conducted a systematic review of published original studies and guidelines on the link between AMR surveillance and AMS.

RESULTS

The questions identified focused on AMS team composition; minimum infrastructure requirements for AMR surveillance; organisms, samples and susceptibility patterns to report; data stratification strategies; reporting frequency; resistance thresholds to drive empirical therapy; surveillance in high-risk hospital units, long-term care, outpatient and veterinary settings; and surveillance data from other countries. Twenty guidelines and seven original studies on the implementation of AMR surveillance as part of an AMS programme were included in the literature review.

CONCLUSIONS

The evidence summarized in this review provides a useful basis for a more integrated process of developing procedures to report AMR surveillance data to drive AMS interventions. These procedures should be extended to settings outside the acute-care institutions, such as long-term care, outpatient and veterinary. Without proper AMR surveillance, implementation of AMS policies cannot contribute effectively to the fight against MDR pathogens and may even worsen the burden of adverse events from such interventions.

Improving blood-prescribing decisions: Evaluating the efficacy of a blood guidelines app

OBJECTIVES

To assess the effect of an app providing national blood transfusion guidelines on prescribing decisions.

BACKGROUND

National, regional and local audits in England consistently show inappropriate use of all blood components; around 15%-20% of red blood cells (RBC) and 20%-30% of platelets and fresh frozen plasma (FFP). Hospital transfusion guidelines may be difficult to locate and not agree with national guidelines. We developed and tested a dedicated app providing national evidence-based guidelines for use at the point of care to help clinicians make better decisions when authorising blood.

METHODS/MATERIALS

We identified areas of blood authorisation with high frequency of component use and evidence of widespread unnecessary authorisation. We developed seven representative clinical scenarios where the transfusion of blood components may or may not benefit the adult patient. Responding doctors were invited to select their authorisation choice via an online questionnaire, initially without and then with access to the app. Adherence to guidelines was assessed with and without aid of the app.

RESULTS

Using the app, doctors were much more likely to select the correct decision, in accordance with national guidance. Compared with baseline measurements, decisions improved by 67% for RBC, 58% for platelets and 73% for FFP. These improvements were statistically significant.

CONCLUSION

Apps such as "Blood Components" can help doctors do "the right thing rather than the wrong thing". Further studies are required to assess the impact of using the app in clinical practice and the effect on blood component management and financial savings.

Assessing the impact of institution-specific guidelines for antimicrobials on doctors' prescribing behavior at a German tertiary-care center and the additional benefits of providing a mobile application

Objective

To assess usage patterns, perceived usability, and effects of institution-specific guidelines (ISGs) for antimicrobials on clinicians’ prescribing behavior and the additional benefits of the mobile application (app), a single-center survey among medical doctors was performed.

Methods

The study was carried out in a 1451-bed tertiary-care academic medical center in Leipzig, Germany. To ensure optimal empirical antibiotic therapies, appropriate diagnostics, and targeted antimicrobial prophylaxis, ISGs were provided as printed pocket guides (since 2014), a PDF version on ward computers, and a mobile app (since 2017). For the survey, we used an electronically structured cross-sectional questionnaire with 31 items, ordinal Likert scales, and percent bars, allowing for quantitative comparisons.

Results

Of the 914 doctors contacted by email, 282 (31%) responded, and 254 (28%) surveys were eligible. ISGs were reported to be the most commonly used source of information for antimicrobial prescribing among the respondents. Ninety-four percent used ISGs at least once and 55% at least weekly. On average, participants reported using them in 38% of antibiotic prescriptions and to adhere to consulted recommendations in 87% of cases. Young clinicians (≤ 30 years) reported significantly higher use of the ISGs than their older colleagues (47% vs. 35% of antibiotic prescriptions, p = 0.004). Ninety-six percent of users found ISGs to be user-friendly, and nearly 100% recommended ISGs to other colleagues. Forty-five percent regarded the app as the most user-friendly way to access ISGs, and app users were significantly more likely to use ISGs regularly (p = 0.024). Eighty-four percent reported behavioral changes regarding at least one aspect of antimicrobial therapy (e.g. duration, application mode, prescription frequency), while 54% reported changes regarding the choice of specific substance groups.

Conclusions

ISGs are used regularly and appear to have a relevant impact on clinicians’ prescribing habits. A mobile app may be the most effective way to provide ISGs, although multiple platforms seem to add value. While the majority of participants reported perceived effects on their prescribing behavior, this study does not allow any conclusions to be drawn about the extent of the effects of ISGs on antibiotic use and patient outcomes.

Use of stewardship smartphone applications by physicians and prescribing of antimicrobials in hospitals: A systematic review

BACKGROUND

Antimicrobial stewardship (AMS) programs promote appropriate use of antimicrobials and reduce antimicrobial resistance. Technological developments have resulted in smartphone applications (apps) facilitating AMS. Yet, their impact is unclear.

OBJECTIVES

Systematically review AMS apps and their impact on prescribing by physicians treating in-hospital patients.

DATA SOURCES

EMBASE, MEDLINE (Ovid), Cochrane Central, Web of Science and Google Scholar.

STUDY ELIGIBILITY CRITERIA

Studies focusing on smartphone or tablet apps and antimicrobial therapy published from January 2008 until February 28th 2019 were included.

PARTICIPANTS

Physicians treating in-hospital patients.

INTERVENTIONS

AMS apps.

METHODS

Systematic review.

RESULTS

Thirteen studies met the eligibility criteria. None was a randomized controlled trial. Methodological study quality was considered low to moderate in all but three qualitative studies. The primary outcomes were process indicators, adherence to guidelines and user experience. Guidelines were more frequently accessed by app (53.0% - 89.6%) than by desktop in three studies. Adherence to guidelines increased (6.5% - 74.0%) significantly for several indications after app implementation in four studies. Most users considered app use easy (77.4%->90.0%) and useful (71.0%->90%) in three studies and preferred it over guideline access by web viewer or booklet in two studies. However, some physicians regarded app use adjacent to colleagues or patients unprofessional in three qualitative studies. Susceptibility to several antimicrobials changed significantly post-intervention (from 5% decrease to 10% - 14% increase) in one study.

CONCLUSIONS

Use of AMS apps seems to promote access to and knowledge of antimicrobial prescribing policy, and increase adherence to guidelines in hospitals. However, this has been assessed in a limited number of studies and for specific indications. Good quality studies are necessary to properly assess the impact of AMS apps on antimicrobial prescribing. To improve adherence to antimicrobial guidelines, use of AMS apps could be considered.

A broad-spectrum beta-lactam-sparing stewardship program in a middle-income country public hospital: antibiotic use and expenditure outcomes and antimicrobial susceptibility profiles

Background

Antimicrobial stewardship programs are an efficient way to reduce inappropriate use of antimicrobials and costs; however, supporting data are scarce in middle-income countries. The aim of this study was to evaluate antibiotic use, bacterial susceptibility profiles, and the economic impact following implementation of a broad-spectrum beta-lactam-sparing antimicrobial stewardship program.

Methods

An interrupted time-series analysis was performed to evaluate antibiotic use and expenditure over a 24-month period (12 months before the antimicrobial stewardship program and in the 12 months after implementation of the antimicrobial stewardship program). Antibiotics were classified into one of two groups: beta-lactam antibiotics and beta-lactam-sparing antibiotics. We also compared the antimicrobial susceptibility profiles of key pathogens in each period.

Results

Beta-lactam antibiotics use decreased by 43.04 days of therapy/1000 patient-days (p = 0.04) immediately following antimicrobial stewardship program implementation, whereas beta-lacta-sparing antibiotics use increased during the intervention period (slope change 6.17 days of therapy/1000 patient-days, p < 0.001). Expenditure decreased by $2089.99 (p < 0.001) immediately after intervention and was maintained at this level over the intervention period ($−38.45; p = 0.24). We also observed that a greater proportion of pathogens were susceptible to cephalosporins and aminoglycosides after the antimicrobial stewardship program.

Conclusions

The antimicrobial stewardship program significantly reduced the use of broad-spectrum beta-lactam-antibiotics associated with a decrease in expenditure and maintenance of the susceptibility profile in Gram-negative bacteria.

Ongoing strategies to improve the management of upper respiratory tract infections and reduce inappropriate antibiotic use particularly among lower and middle-income countries: findings and implications for the future

Introduction: Antibiotics are indispensable to maintaining human health; however, their overuse has resulted in resistant organisms, increasing morbidity, mortality and costs. Increasing antimicrobial resistance (AMR) is a major public health threat, resulting in multiple campaigns across countries to improve appropriate antimicrobial use. This includes addressing the overuse of antimicrobials for self-limiting infections, such as upper respiratory tract infections (URTIs), particularly in lower- and middle-income countries (LMICs) where there is the greatest inappropriate use and where antibiotic utilization has increased the most in recent years. Consequently, there is a need to document current practices and successful initiatives in LMICs to improve future antimicrobial use.Methodology: Documentation of current epidemiology and management of URTIs, particularly in LMICs, as well as campaigns to improve future antimicrobial use and their influence where known.Results: Much concern remains regarding the prescribing and dispensing of antibiotics for URTIs among LMICs. This includes considerable self-purchasing, up to 100% of pharmacies in some LMICs. However, multiple activities are now ongoing to improve future use. These incorporate educational initiatives among all key stakeholder groups, as well as legislation and other activities to reduce self-purchasing as part of National Action Plans (NAPs). Further activities are still needed however. These include increased physician and pharmacist education, starting in medical and pharmacy schools; greater monitoring of prescribing and dispensing practices, including the development of pertinent quality indicators; and targeted patient information and health education campaigns. It is recognized that such activities are more challenging in LMICs given more limited resources and a lack of healthcare professionals.Conclusion: Initiatives will grow across LMICs to reduce inappropriate prescribing and dispensing of antimicrobials for URTIs as part of NAPs and other activities, and these will be monitored.

The role of medical smartphone apps in clinical decision-support: A literature review

INTRODUCTION

The now ubiquitous smartphone has huge potential to assist clinical decision-making across the globe. However, the rapid pace of digitalisation contrasts starkly with the slower rate of medical research and publication. This review explores the evidence base that exists to validate and evaluate the use of medical decision-support apps. The resultant findings will inform appropriate and pragmatic evaluation strategies for future clinical app developers and provide a scientific and cultural context for research priorities in this field.

METHOD

Medline, Embase and Cochrane databases were searched for clinical trials concerning decision support and smart phones from 2007 (introduction of first smartphone iPhone) until January 2019.

RESULTS

Following exclusions, 48 trials and one Cochrane review were included for final analysis. Whilst diagnostic accuracy studies are plentiful, clinical trials are scarce. App research methodology was further interrogated according to setting and decision-support modality: e.g. camera-based, guideline-based, predictive models. Description of app development pathways and regulation were highly varied. Global health emerged as an early adopter of decision-support apps and this field is leading implementation and evaluation.

CONCLUSION

Clinical decision-support apps have considerable potential to enhance access to care and quality of care, but the medical community must rise to the challenge of modernising its approach if it is truly committed to capitalising on the opportunities of digitalisation.

Intravenous-to-oral antibiotic switch therapy: a cross-sectional study in critical care units

BACKGROUND

This study aimed to evaluate the oral switch (OS) stewardship intervention in the intensive care unit (ICU).

METHODS

This was a retrospective study with a convenience sample in two Brazilian ICUs from different hospitals in patients with sepsis receiving antibiotic therapy. The stewardship intervention included OS in patients diagnosed with sepsis when clinical stability was achieved. The primary outcome was overall mortality. Other variables evaluated were as follows: cost of antimicrobial treatment, daily costs of intensive care, acute kidney injury, and length of stay.

RESULTS

There was no difference in mortality between the OS and non-OS groups (p = 0.06). Length of stay in the ICU (p = 0.029) was shorter and acute kidney injury incidence (p = 0.032) and costs of antimicrobial therapy (p < 0.001) were lower in the OS group.

CONCLUSION

OS stewardship programs in the ICU may be considered a safe strategy. Switch therapy reduced the cost and shortened the length of stay in ICUs.

Role of Technology in Antimicrobial Stewardship

Because of the increasing plague of antimicrobial resistance and antibiotic misuse, antimicrobial stewardship programs (ASPs) are now a mandatory entity in all US hospitals. ASPs can use technological advances, such as the electronic medical record and clinical decision support systems, to impact a larger patient population with more efficiency. Additionally, through the use of mobile applications and social media, ASPs can highlight and propagate educational information regarding antimicrobial utilization to patients and providers in a widespread and timely manner. In this article, the authors describe how technology can play an important role in antimicrobial stewardship.

Antibiotic stewardship interventions in hospitals in low-and middle-income countries: a systematic review

Objective

To review the effectiveness of antibiotic stewardship interventions in hospitals in low- and middle-income countries.

Methods

We searched MEDLINE®, Embase®, Cochrane Central Register of Controlled Trials and regional indexes for studies of interventions to improve appropriate prescribing and use of antibiotics for hospitalized patients in low- and middle-income countries. We included controlled trials, controlled before-and-after studies and interrupted time-series studies published up to December 2017. We report prescribing, clinical and microbiological outcomes using a narrative approach.

Findings

We screened 7342 original titles and abstracts, assessed 241 full-text articles and included 27 studies from 2 low-income and 11 middle-income countries. We found a medium (11 studies) or high risk (13 studies) of bias. Generally, all types of interventions (structural, persuasive and enabling) and intervention bundles were reported to improve prescribing and clinical outcomes. However, the studied interventions and reported outcomes varied widely. The most frequent intervention was procalcitonin-guided antibiotic treatment (8 of 27 studies, all randomized controlled trials). The intervention was associated with a relative risk for patients receiving antibiotics ranging between 0.40 and 0.87.

Conclusion

The majority of studies reported a positive effect of hospital antibiotic stewardship interventions. However, we cannot draw general conclusions about the effectiveness of such interventions in low- and middle-income countries because of low study quality, heterogeneity of interventions and outcomes, and under-representation of certain settings. To strengthen the evidence base, action needs to be taken to address these shortcomings.