Teamwork and its impact on chronic disease clinical outcomes in primary care: a systematic review and meta-analysis.

OBJECTIVE: Teamwork positively affects staff performance and patient outcomes in chronic disease management. However, there is limited research on the impact of specific team components on clinical outcomes. This review aims to explore the impact of teamwork components on key clinical outcomes of chronic diseases in primary care. STUDY DESIGN: Systematic review and meta-analysis. METHODS: This systematic review and meta-analysis conducted searching EMBASE, PubMed, Cochrane Central Register of Controlled Trials. Studies included must have at least one teamwork component, conducted in primary care for selected chronic diseases, and report an impact of teamwork on clinical outcomes. Mean differences and 95% confidence intervals were used to determine pooled effects of intervention. RESULTS: A total of 54 studies from 1988 to 2021 were reviewed. Shared decision-making, roles sharing, and leadership were missing in most studies. Team-based intervention showed a reduction in mean systolic blood pressure (MD = 5.88, 95% CI 3.29-8.46, P= <0.001, I2 = 95%), diastolic blood pressure (MD = 3.23, 95% CI 1.53 to 4.92, P = <0.001, I2 = 94%), and HbA1C (MD = 0.38, 95% CI 0.21 to 0.54, P = <0.001, I2 = 58%). More team components led to better SBP and DBP outcomes, while individual team components have no impact on HbA1C. Fewer studies limit analysis of cholesterol levels, hospitalizations, emergency visits and chronic obstructive pulmonary disease-related outcomes. CONCLUSION: Team-based interventions improve outcomes for chronic diseases, but more research is needed on managing cholesterol, hospitalizations, and chronic obstructive pulmonary disease. Studies with 4-5 team components were more effective in reducing systolic blood pressure and diastolic blood pressure. Heterogeneity should be considered, and additional research is needed to optimize interventions for specific patient populations.

The relationship between person-centered care in nursing homes and COVID-19 infection, hospitalization, and mortality rates.

OBJECTIVES: This cohort study compared rates of COVID-19 infections, admissions/readmissions, and mortality among a statewide person-centered model known as PEAK and non-PEAK NHs. METHODS: Rates per 1000 resident days were derived for COVID-19 cases and admissions/readmissions, and per 100 positive cases for mortality. A log-rank test compared rates between PEAK (n = 109) and non-PEAK NHs (n = 112). RESULTS: Rates of COVID-19 cases, admission, and mortality were higher in non-PEAK compared to PEAK NHs. The median rates for all indicators had a zero value for all NHs, but in NHs above 90th percentiles, the non-PEAK case rate was 3.9 times more and the admission/readmission rate was 2.5 times more. CONCLUSIONS AND IMPLICATIONS: COVID-19 case, and mortality rates were lower in PEAK than non-PEAK NHs. Although PEAK and non-PEAK NHs may differ in other ways as well, person-centered care may be advantageous to promote infection control and improve outcomes.

Hepatitis C Infection and Treatment among Injecting Drug Users Attending General Practice: A Systematic Review and Meta-Analysis.

BACKGROUND: The care provided in general practice to intravenous drug users (IDUs) with hepatitis C (HCV) extends beyond opioid substitution therapy. An aggregated analysis of HCV service utilization within general practice specifically related to diagnosis and treatment outcomes remains unknown from previous literature. AIMS: This study aims to estimate the prevalence of HCV and analyze data related to the diagnosis and treatment-related outcomes of HCV patients with a history of intravenous drug use in the general practice setting. DESIGN AND SETTING: A systematic review and meta-analysis in general practice. METHODS: This review included studies published in the following databases: EMBASE, PubMed, and Cochrane Central Register of Controlled Trials. Two reviewers independently extracted data in standard forms in Covidence. A meta-analysis was done using a DerSimonian and Laird random-effects model with inverse variance weighting. RESULTS: A total of 20,956 patients from 440 general practices participated in the 18 selected studies. A meta-analysis of 15 studies showed a 46% (95% confidence interval (CI), 26-67%) prevalence rate of hepatitis C amongst IDUs. Genotype information was available in four studies and treatment-related outcomes in 11 studies. Overall, treatment uptake was 9%, with a cure rate of 64% (95% CI, 43-83%). However, relevant information, such as specific treatment regimens, treatment duration and doses, and patient comorbidities, was poorly documented in these studies. CONCLUSION: The prevalence of HCV in IDUs is 46% in general practice. Only ten studies reported HCV-related treatment outcomes; however, the overall uptake rate was below 10%, with a cure rate of 64%. Likewise, the genotypic variants of HCV diagnoses, medication types, and doses were poorly reported, suggesting a need for further research into this aspect of care within this patient group to ensure optimal treatment outcomes.

National Chronic Disease Management Programmes in Irish General Practice-Preparedness and Challenges.

Information on the readiness of Irish general practice to participate in structured chronic disease management (CDM) care is limited. This study explores the logistic, staffing, and organizational preparedness of Irish general practice to do so, stratified by their size, location, and training status; implementation challenges were also explored. An anonymous, paper-based random survey was performed. A chi-square test was applied to compare practices by location (urban/rural), post-graduate training status (with/without), and numbers of GMS patient (≥1500/>1500 patients) and prevalence ratio and Poisson regression analysis to examine the relationship of staffing with key variables. Overall, 125/243 practices participated, 22% were rural, 56.6% were post-graduate training practices, and 53.9% had ≥1500 GMS patients. The rural, non-training practices and those with <1500 GMS patients had substantially lower staffing levels. The average number of GPs was significantly less in rural practices; however, the difference was insignificant for nurses. Salary costs for practice nurses in all practices and staff IT training and clinical equipment in smaller practices were important barriers. Most practices reported 'inadequate' waiting times for access to almost all referral and paramedical services. The study recommends addressing the staffing, funding, and training challenges within Irish general practice to effectively implement a structured CDM program.

Impact of antimicrobial stewardship program on antimicrobial-resistance and prescribing in nursing homes: a systematic review and meta-analysis.

OBJECTIVES: The success of the antimicrobial stewardship program (ASP) is more often measured in antimicrobial use in the literature; however, there is limited evidence regarding antimicrobial resistance (AMR). This study aims to systematically review the impact of urinary tract infection-targeted ASP on overall AMR, antimicrobial use, and specific to fluoroquinolone (FQ) use in nursing homes (NHs). METHODS: This systematic review and meta-analysis included studies published in EMBASE, PubMed, Scopus, Medline, and Cochrane Central Register of Controlled Trials. Two reviewers independently extracted data in standard forms in "Covidence." The outcome was presented in percent change and rate ratio. Meta-analysis was done using DerSimonian and Laird random-effects model with inverse variance weighting. RESULTS: A total of 216 NHs participated in 16 included studies. Most of the ASP was educational, targeted to nurses and physicians. Four studies reported information about uropathogens resistance, 10 FQ-related, 13 antimicrobials prescribed, and 11 urine cultures. ASP had a positive impact on reducing overall and FQ-related AMR. However, fewer studies representation with varying information did not allow us to generalise. ASP performance was impressive in reducing antimicrobial prescribing (pooled rate ratio = 0.69, 95% CI 0.60-0.81, P ≤ 0.001) and urine culture rate (pooled rate ratio = 0.64, 95% CI 0.61-0.67, P ≤ 0.001) in NHs. CONCLUSION: The findings are encouraging despite the limited studies reported ASP impact on AMR. However, it takes years to see the impact of ASP on AMR. Therefore, future research should allocate a long-term follow-up and at least an outcome related to AMR to generate concrete evidence.

Discovering symptom patterns of COVID-19 patients using association rule mining.

BACKGROUND: The COVID-19 pandemic is a significant public health crisis that is hitting hard on people's health, well-being, and freedom of movement, and affecting the global economy. Scientists worldwide are competing to develop therapeutics and vaccines; currently, three drugs and two vaccine candidates have been given emergency authorization use. However, there are still questions of efficacy with regard to specific subgroups of patients and the vaccine's scalability to the general public. Under such circumstances, understanding COVID-19 symptoms is vital in initial triage; it is crucial to distinguish the severity of cases for effective management and treatment. This study aimed to discover symptom patterns and overall symptom rules, including rules disaggregated by age, sex, chronic condition, and mortality status, among COVID-19 patients. METHODS: This study was a retrospective analysis of COVID-19 patient data made available online by the Wolfram Data Repository through May 27, 2020. We applied a widely used rule-based machine learning technique called association rule mining to identify frequent symptoms and define patterns in the rules discovered. RESULT: In total, 1,560 patients with COVID-19 were included in the study, with a median age of 52 years. The most frequently occurring symptom was fever (67%), followed by cough (37%), malaise/body soreness (11%), pneumonia (11%), and sore throat (8%). Myocardial infarction, heart failure, and renal disease were present in less than 1% of patients. The top ten significant symptom rules (out of 71 generated) showed cough, septic shock, and respiratory distress syndrome as frequent consequents. If a patient had a breathing problem and sputum production, then, there was higher confidence of that patient having a cough; if cardiac disease, renal disease, or pneumonia was present, then there was a higher confidence of septic shock or respiratory distress syndrome. Symptom rules differed between younger and older patients and between male and female patients. Patients who had chronic conditions or died of COVID-19 had more severe symptom rules than those patients who did not have chronic conditions or survived of COVID-19. Concerning chronic condition rules among 147 patients, if a patient had diabetes, prerenal azotemia, and coronary bypass surgery, there was a certainty of hypertension. CONCLUSION: The most frequently reported symptoms in patients with COVID-19 were fever, cough, pneumonia, and sore throat; while 1% had severe symptoms, such as septic shock, respiratory distress syndrome, and respiratory failure. Symptom rules differed by age and sex. Patients with chronic disease and patients who died of COVID-19 had severe symptom rules more specifically, cardiovascular-related symptoms accompanied by pneumonia, fever, and cough as consequents.

Nontraditional Small House Nursing Homes Have Fewer COVID-19 Cases and Deaths.

OBJECTIVES: Green House and other small nursing home (NH) models are considered "nontraditional" due to their size (10-12 beds), universal caregivers, and other home-like features. They have garnered great interest regarding their potential benefit to limit Coronavirus Disease 2019 (COVID-19) infections due to fewer people living, working, visiting, and being admitted to Green House/small NHs, and private rooms and bathrooms, but this assumption has not been tested. If they prove advantageous compared with other NHs, they may constitute an especially promising model as policy makers and providers reinvent NHs post-COVID. DESIGN: This cohort study compared rates of COVID-19 infections, COVID-19 admissions/readmissions, and COVID-19 mortality, among Green House/small NHs with rates in other NHs between January 20, 2020 and July 31, 2020. SETTING AND PARTICIPANTS: All Green House homes that held a skilled nursing license and received Medicaid or Medicare payment were invited to participate; other small NHs that replicate Green House physical design and operational practices were eligible if they had the same licensure and payer sources. Of 57 organizations, 43 (75%) provided complete data, which included 219 NHs. Comparison NHs (referred to as "traditional NHs") were up to 5 most geographically proximate NHs within 100 miles that had <50 beds and ≥50 beds for which data were available from the Centers for Medicare and Medicaid Services (CMS). Because Department of Veterans Affairs organizations are not required to report to CMS, they were not included. METHODS: Rates per 1000 resident days were derived for COVID-19 cases and admissions, and per 100 COVID-19 positive cases for mortality. A log-rank test compared rates between Green House/small NHs and traditional NHs with <50 beds and ≥50 beds. RESULTS: Rates of all outcomes were significantly lower in Green House/small NHs than in traditional NHs that had <50 beds and ≥50 beds (log-rank test P < .025 for all comparisons). The median (middle value) rates of COVID-19 cases per 1000 resident days were 0 in both Green House/small NHs and NHs <50 beds, while they were 0.06 in NHs ≥50 beds; in terms of COVID-19 mortality, the median rates per 100 positive residents were 0 (Green House/small NHs), 10 (<50 beds), and 12.5 (≥50 beds). Differences were most marked in the highest quartile: 25% of Green House/small NHs had COVID-19 case rates per 1000 resident days higher than 0.08, with the corresponding figures for other NHs being 0.15 (<50 beds) and 0.74 (≥50 beds). CONCLUSIONS AND IMPLICATIONS: COVID-19 incidence and mortality rates are less in Green House/small NHs than rates in traditional NHs with <50 and ≥50 beds, especially among the higher and extreme values. Green House/small NHs are a promising model of care as NHs are reinvented post-COVID.

Treatment of uncomplicated UTI in males: a systematic review of the literature.

BACKGROUND: Urinary tract infections (UTIs) affect around 20% of the male population in their lifetime. The incidence of UTIs in men in the community is 0.9-2.4 cases per 1000 aged <55 years and 7.7 per 1000 aged ≥85 years. AIM: To evaluate the outcomes of randomised controlled trials (RCTs) comparing the effectiveness of different antimicrobial treatments and durations for uncomplicated UTIs in adult males in outpatient settings. METHOD: A systematic literature review of RCTs of adult male patients with an uncomplicated UTI treated with oral antimicrobials in any outpatient setting. The outcomes were symptom resolution within 2 weeks of starting treatment, duration until symptom resolution, clinical cure, bacteriological cure, and frequency of adverse events. RESULTS: From the 1052 abstracts screened, three provided sufficient information on outcomes. One study compared trimethoprim-sulfamethoxazole for 14 days (21 males) with 42 days (21 males). Fluoroquinolones were compared in the two other RCTs: lomefloxacin (10 males) with norfloxacin (11 males), and ciprofloxacin for 7 days (19 males) and 14 days (19 males). Combining the results from the three RCTs shows that for 75% males with a UTI (76/101) bacteriological cure was reported at the end of the study. Of the 59 patients receiving a fluoroquinolone, 57 (97%) reported bacteriological and clinical cure within 2 weeks after treatment. CONCLUSION: The evidence available is insufficient to make any recommendations in relation to type and duration of antimicrobial treatment for male UTIs. Sufficiently powered RCTs are needed to identify best treatment type and duration for male UTIs in primary care.

Gender Disaggregation in COVID-19 and Increased Male Susceptibility.

Novel coronavirus disease 2019 (COVID-19) is a growing public health crisis. Despite initial focus on the elderly population with comorbidities, it seems that large studies from the worst affected countries follow a sex-disaggregation pattern. Analysis of available data showed marked variations in reported cases between males and females among different countries with higher mortality in males.  At this early stage of the pandemic, medical datasets at the individual level are not available; therefore, it is challenging to conclude how different factors have impacted COVID-19 susceptibility. Thus, in the absence of patients' level data, we attempted to provide a theoretical description of how other determinants have affected COVID-19 susceptibility in males compared to females.  In this article, we have identified and discussed possible biological and behavioral factors that could be responsible for the increased male susceptibility. Biological factors include - an absence of X-chromosomes (a powerhouse for immune-related genes), a high level of testosterone that inhibits antibody production, and the presence of Angiotensin-converting enzyme 2 (ACE2) receptors that facilitate viral replication. Similarly, behavioral factors constitute - higher smoking and alcohol consumptions, low level of handwashing practices, and high-risk behavior like non-adherence to health services and reluctance to follow public health measures in males. Keywords: COVID-19; gender; males; sex disaggregation; susceptibility.

Which Nursing Home Residents With Pneumonia Are Managed On-Site and Which Are Hospitalized? Results from 2 Years' Surveillance in 14 US Homes.

OBJECTIVES: Pneumonia is a frequent cause of hospitalization among nursing home (NH) residents, but little information is available as to how clinical presentation and other characteristics relate to hospitalization, and the differential use of antimicrobials based on hospitalization status. This study examined how hospitalized and nonhospitalized NH residents with pneumonia differ. DESIGN: Data from a 2-year prospective study of residents who participated in a randomized controlled trial. SETTING AND PARTICIPANTS: All residents from 14 NHs in North Carolina followed for pneumonia over a 2-year period. METHODS: Clinical features, antimicrobial treatment, hospitalization, and demographic data on residents with a pneumonia diagnosis were abstracted from charts; NH information was obtained from NH administrators. RESULTS: A total of 509 pneumonia episodes were reported for 395 unique residents; the incidence was not higher in the winter months, and 28% were hospitalized. The likelihood of hospitalization did not differ by clinical characteristics except that residents with a respiratory rate >25 breaths per minute were more likely to be hospitalized. Being on hospice [odds ratio (OR) 3.3, 95% confidence interval (CI) 1.5-7.4] and not having dementia (OR 1.9, 95% CI 1.1-3.2) also related to increased likelihood of hospitalization. Fluoroquinolone (usually levofloxacin) monotherapy was the most common treatment (54%) in both settings, and ceftriaxone monotherapy varied by hospitalization status (7% of hospitalized vs 16% treated on-site). Approximately 36% of nonhospitalized residents received antimicrobials for more than 7 days. CONCLUSIONS/IMPLICATIONS: Respiratory rate is associated with hospitalization but was not documented for more than a quarter of residents, suggesting the clinical benefit of more consistently conducting this assessment. Differential hospitalization rates for persons with dementia and on hospice suggest that care is being tailored to individuals' wishes, but this assumption merits study, as does use of fluoroquinolones (due to side effects) and treatment duration (due to potential contribution to antibiotic resistance).

Preventive Antibiotic Use in Nursing Homes: A Not Uncommon Reason for Antibiotic Overprescribing.

A substantial portion of "potentially inappropriate" systemic antibiotics in nursing homes are prescribed with the intention of preventing the development of bacterial infections. In the past, such practices were generally considered acceptable; however, they now are being increasingly scrutinized due to concerns about limited benefits and the potential for adverse effects, including contributing to antimicrobial resistance. As a result of these issues and because of the frequency of these practices, unnecessary prophylactic antibiotic use is an appropriate target for antibiotic stewardship practices. However, a challenge toward this end is the limited number of definitive studies involving nursing home residents, with most existing recommendations being based on expert opinion. This report reviews the common situations when systemic administration of antibiotics is used for prophylactic purposes and provides operational definitions and recommendations for providers. The preventive practices discussed include (1) long-term antibiotic use to prevent recurrent urinary infections, (2) antibiotic treatment of acute bronchitis to prevent bacterial pneumonia, (3) antibiotic treatment of acute sinusitis to prevent bacterial superinfection, (4) daily or intermittent therapy of persons with chronic obstructive pulmonary disease to prevent exacerbations or hospitalization, (5) antibiotic treatment to prevent skin or soft tissue infections in a person with recurrent cellulitis, (6) antibiotic treatment at the time of dental work to prevent endocarditis, and (7) antibiotic treatment at the time of dental work to prevent bacterial infection of artificial joints. In each of these situations, medical providers are encouraged to consult the most recent guidelines and to weigh risks and benefits before writing a "prophylactic" prescription. In addition, researchers are encouraged to examine the preventive use of antibiotics in nursing home populations, given the paucity of research conducted in this area.

Fidelity and sustainability of Mouth Care Without a Battle and lessons for other innovations in care.

There are countless efficacious interventions that improve outcomes when conducted in controlled situations. Many fewer are effective when implemented in real-world situations, largely because they are not implemented with fidelity. Still fewer are sustained over time, for reasons including lack of institutional support and fit with existing values, among others. It is especially important to examine fidelity and sustainability when efficacious interventions are being implemented, because these interventions are the ones that hold the most promise. This project examined the fidelity and sustainability of Mouth Care Without a Battle (MCWB), an evidence-based program conducted in a two-year cluster randomized trial in 14 nursing homes. Results that triangulated two sources of data indicated that fidelity decreased after the first year; they provide guidance to promote fidelity and sustainability of this and other new care practices in nursing homes, including ongoing education, coaching, evaluation, feedback, and sufficient resources.

Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method.

Identifying the unintended effects of drugs (side effects) is a very important issue in pharmacological studies. The laboratory verification of associations between drugs and side effects requires costly, time-intensive research. Thus, an approach to predicting drug side effects based on known side effects, using a computational model, is highly desirable. To provide such a model, we used openly available data resources to model drugs and side effects as a bipartite graph. The drug-drug network is constructed using the word2vec model where the edges between drugs represent the semantic similarity between them. We integrated the bipartite graph and the semantic similarity graph using a matrix factorization method and a diffusion based model. Our results show the effectiveness of this integration by computing weighted (i.e., ranked) predictions of initially unknown links between side effects and drugs.

Antimicrobial resistance patterns of urine culture specimens from 27 nursing homes: Impact of a two-year antimicrobial stewardship intervention.

OBJECTIVE: Identify changes in the prevalence and antimicrobial resistance patterns of potentially pathogenic bacteria in urine cultures during a 2-year antimicrobial stewardship intervention program in nursing homes (NHs). DESIGN: Before-and-after intervention study. SETTING: The study included 27 NHs in North Carolina. METHODS: We audited all urine cultures ordered before and during an antimicrobial stewardship intervention. Analyses compared culture rates, culture positive rates, and pathogen antimicrobial resistance patterns. RESULTS: Of 6,718 total urine cultures collected, 68% were positive for potentially pathogenic bacteria. During the intervention, significant reductions in the urine culture and positive culture rates were observed (P = .014). Most of the identified potentially uropathogenic isolates were Escherichia coli (38%), Proteus spp (13%), and Klebsiella pneumoniae (12%). A significant decrease was observed during the intervention period in nitrofurantoin resistance among E. coli (P ≤ .001) and ciprofloxacin resistance among Proteus spp (P ≤ .001); however carbapenem resistance increased for Proteus spp (P ≤ .001). Multidrug resistance also increased for Proteus spp compared to the baseline. The high baseline resistance of E. coli to the commonly prescribed antimicrobials ciprofloxacin and trimethoprim-sulfamethoxazole (TMP/SMX) did not change during the intervention. CONCLUSIONS: The antimicrobial stewardship intervention program significantly reduced urine culture and culture-positive rates. Overall, very high proportions of antimicrobial resistance were observed among common pathogens; however, antimicrobial resistance trended downward but reductions were too small and scattered to conclude that the intervention significantly changed antimicrobial resistance. Longer intervention periods may be needed to effect change in resistance patterns.

Role of patient descriptors in predicting antimicrobial resistance in urinary tract infections using a decision tree approach: A retrospective cohort study.

BACKGROUND: In general practice, many infections are treated empirically prior to or without microbiological confirmation. Prediction of antimicrobial susceptibility could optimise prescribing thus improving patient outcomes. Decision tree models are a novel idea to predict AMR at the time of clinical presentation. This study aims to apply a prediction model using a decision tree approach to predict the antimicrobial resistance (AMR) of pathogens causing urinary tract infections (UTI) for patients over 65 years based on pre-existing routine laboratory data. METHODS: Data were extracted from the database of the microbiological laboratory of the University Hospitals Galway (UHG). All urine results from patients over 65 years, their microbiological analysis and susceptibility (AST) results from January 2011 to December 2015 were included. The primary endpoint was culture result and resistance to antimicrobials (nitrofurantoin, trimethoprim, ciprofloxacin, co-amoxiclav, and amoxicillin) commonly used to treat UTI. A non-parametric regression tree analysis i.e. a decision tree model was generated with the 75% of the dataset (training set) and validated with the remaining 25% (test set). The model performance was evaluated measuring Area Under the Curve Receiver Operating Characteristic (AUC_ROC) curve. RESULTS: A total of 99,101 urine samples of patients over 65 years were submitted for culture over the five years and 27% had significant bacteriuria (≥104 cfu/ml) and AST. The most common identified causative organisms were E.coli, Klebsiella spp. and Proteus spp. E.coli was more often resistant to amoxicillin (66%) followed by Proteus spp. (41%). Klebsiella spp. and Proteus spp. were more often resistant to trimethoprim (78% and 54% respectively). E. coli resistance to nitrofurantoin is low (<10%). The decision tree model showed an AUC-ROC score of 0.68 for culture and in between 0.60 to 0.97 for antimicrobial resistance of the pathogens, with the inclusion of patient's descriptors only. Including the uropathogen in the model did not change model performance. CONCLUSIONS: The decision tree models using patient descriptors available at the time of presentation showed fair to excellent performance in predicting culture and antimicrobial resistance. The presented models provide an alternative approach to decision making on antimicrobial prescribing for UTIs. Increasing more predictors in the model could improve the model performance. Prospective data collection, validation and feasibility testing of the model including data from other laboratories will progress the practical implementation of similar models.

A comparative analysis of prophylactic antimicrobial use in long-term care facilities in Ireland, 2013 and 2016.

BackgroundLong-term care facilities (LTCFs) are important locations of antimicrobial consumption. Of particular concern is inappropriate prescribing of prophylactic antimicrobials. AimWe aimed to explore factors related to antimicrobial prophylaxis in LTCFs in Ireland. MethodsThe point prevalence surveys of Healthcare-Associated Infections in Long-Term Care Facilities (HALT) were performed in Ireland in May 2013 and 2016. Data were collected on facility (type and stewardship initiatives) and resident characteristics (age, sex, antimicrobial and indication) for those meeting the surveillance definition for a HAI and/or prescribed an antimicrobial. ResultsIn 2013, 9,318 residents (in 190 LTCFs) and in 2016, 10,044 residents (in 224 LTCFs) were included. Of the 10% of residents prescribed antimicrobials, 40% were on prophylaxis, most of which was to prevent urinary tract infection. The main prophylactic agents were: nitrofurantoin (39%) and trimethoprim (41%) for urinary tract (UT); macrolides (47%) for respiratory tract and macrolides and tetracycline (56%) for skin or wounds. More than 50% of the prophylaxis was prescribed in intellectual disability facilities and around 40% in nursing homes. Prophylaxis was recorded more often for females, residents living in LTCFs for more than 1 year and residents with a urinary catheter. No difference in prophylactic prescribing was observed when comparing LTCFs participating and not participating in both years. ConclusionsForty per cent of antimicrobial prescriptions in Irish LTCFs were prophylactic. This practice is not consistent with national antimicrobial prescribing guidelines. Addressing inappropriate prophylaxis prescribing in Irish LTCFs should be a key objective of antimicrobial stewardship initiatives.

Improving Antimicrobial Prescribing: A Multinomial Model Identifying Factors Associated With First- and Second-Line Prescribing.

BACKGROUND/OBJECTIVES: Broad-spectrum, second-line antimicrobials may be prescribed when initial first-line options prove ineffective. This study compares prescribing practices and identifies potential influencing factors for first- and second-line antimicrobials in long-term care facilities. DESIGN: Point prevalence survey of health care-associated infections and antimicrobial use in long-term care facilities (HALT), expanded by additional data collection. SETTING: Long-term care facilities in Ireland. PARTICIPANTS: Of long-term care facilities that participated in the HALT study 2016, additional data provided by 77 facilities with a record of 3677 residents. MEASUREMENT: On the survey date, an institutional questionnaire was completed by each participating long-term care facility, and resident questionnaires were completed only for those residents who met a health care-associated infection surveillance definition and/or were prescribed a systemic antimicrobial. All participating long-term care facilities were contacted at a later time point to provide limited anonymized data (age, sex, urinary catheterization, and disorientation) on all current residents. These additional data were matched to the original data set, facilitating multilevel multinominal logistic regression (first-line/second-line/no antimicrobial). RESULTS: Of 3677 residents in 77 long-term care facilities, 381 (10%) were prescribed systemic antimicrobials on the survey day. Of those, 46% were categorized as second-line choices, with substantial interfacility variation observed with regard to prescription of first- versus second-line antimicrobials. The odds of a second-line antimicrobial prescription for a resident doubled when comparing the highest with the lowest prescribing long-term care facilities (median odds ratio = 2.0, credibility interval = 1.5-2.9). Male residents were less often prescribed first-line antimicrobials [odds ratio (OR) = 0.6, 95% confidence interval (CI) = 0.4-0.9, P = .02]. Long-term care facilities that reported the provision of education on antimicrobial prescribing use significantly less second-line antimicrobials (OR = 0.2, 95% CI = 0.1-0.7, P = .02). Females and residents with a urinary catheter were more likely to receive first-line antimicrobials. CONCLUSION/IMPLICATIONS: The use of second-line antimicrobials is common practice in long-term care facilities, but education and training on appropriate antimicrobial use has the potential to reduce second-line antimicrobial prescribing, improve patients' outcomes, and reduce antimicrobial resistance.

Out-of-hospital cardiac arrest survival in international airports.

BACKGROUND: The highest achievable survival rate following out-of-hospital cardiac arrest is unknown. Data from airports serving international destinations (international airports) provide the opportunity to evaluate the success of pre-hospital resuscitation in a relatively controlled but real-life environment. METHODS: This retrospective cohort study included all cases of out-of-hospital cardiac arrest at international airports with resuscitation attempted between January 1st, 2013 and December 31st, 2015. Crude incidence, patient, event characteristics and survival to hospital discharge/survival to 30 days (survival) were calculated. Mixed effect logistic regression analyses were performed to identify predictors of survival. Variability in survival between airports/countries was quantified using the median odds ratio. RESULTS: There were 800 cases identified, with an average of 40 per airport. Incidence was 0.024/100,000 passengers per year. Percentage survival for all patients was 32%, and 58% for patients with an initial shockable heart rhythm. In adjusted analyses, initial shockable heart rhythm was the strongest predictor of survival (odds ratio, 36.7; 95% confidence interval [CI], 15.5-87.0). In the bystander-witnessed subgroup, delivery of a defibrillation shock by a bystander was a strong predictor of survival (odds ratio 4.8; 95% CI, 3.0-7.8). Grouping of cases was significant at country level and survival varied between countries. CONCLUSIONS: In international airports, 32% of patients survived an out-of-hospital cardiac arrest, substantially more than in the general population. Our analysis suggested similarity between airports within countries, but differences between countries. Systematic data collection and reporting are essential to ensure international airports continually maximise activities to increase survival.

Adverse Effects of Amoxicillin for Acute Lower Respiratory Tract Infection in Primary Care: Secondary and Subgroup Analysis of a Randomised Clinical Trial.

A European placebo-controlled trial of antibiotic treatment for lower respiratory tract infection (LRTI) conducted in 16 primary care practices networks recruited participants between November 2007 and April 2010, and found adverse events (AEs) occurred more often in patients prescribed amoxicillin compared to placebo. This secondary analysis explores the causal relationship and estimates specific AEs (diarrhoea, nausea, rash) due to amoxicillin treatment for LRTI, and if any subgroup is at increased risk of any or a specific AE. A total of 2061 patients were randomly assigned to amoxicillin (1038) and placebo (1023); 595 (28%) were 60 and older. A significantly higher proportion of any AEs (diarrhoea or nausea or rash) (OR = 1.31, 95% CI 1.05-1.64, number needed to harm (NNH) = 24) and of diarrhoea (OR 1.43 95% CI 1.08-1.90, NNH = 29) was reported in the amoxicillin group during the first week after randomisation. Subgroup analysis showed rash was significantly more often reported in males prescribed amoxicillin (interaction term 3.72 95% CI 1.22-11.36; OR of amoxicillin in males 2.79 (95% CI 1.08-7.22). No other subgroup at higher risk was identified. Although the study was not powered for subgroup analysis, this analysis suggests that most patients are likely to be equally harmed when prescribed antibiotics.