Evaluation of the French surveillance system for epidemiological surveillance of antimicrobial resistance in the community and nursing homes.
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ABSTRACT: Background
Antimicrobial resistance (AMR) has been widely recognized as a major public health issue, which can be addressed through effective AMR surveillance systems. In 2018, a national surveillance programme for AMR in the community and nursing homes called Mission PRIMO was established in France. It builds on an existing network called MedQual-Ville that had been monitoring AMR mainly in the west of France community since 2003.Objectives and methods
To evaluate the MedQual-Ville surveillance activities and to formulate practical recommendations for improvement, using a semi-quantitative evaluation framework called OASIS.Results
The evaluation showed that MedQual-Ville is overall a well-performing surveillance system. Its major strengths rely on excellent coordination and internal communication with clinical laboratories that participate on a voluntary basis. Surveillance objectives and procedures are clear to all participants. Hence, the quality and reliability of the data being produced is very high. At this stage, the major area for improvement is representativeness, with poor coverage achieved in several densely populated areas. Besides, the utility and impact of surveillance data could be improved by strengthening communication towards end-users, especially local prescribers.Conclusions
There is currently no European programme or guidance for AMR surveillance in the community and nursing homes. Our results partly fill this gap, by evaluating how surveillance is being performed in France and providing recommendations that could be applicable to other countries with similar health systems. This work also highlighted the relevance of OASIS for evaluation of surveillance systems in the human sector.
SUBMITTER: Collineau L
PROVIDER: S-EPMC9251505 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Antimicrobial resistance is a One Health issue requiring the development of surveillance systems in the human, environmental and animal sectors. In the European Economic Area, the surveillance of antimicrobial resistance in zoonotic pathogens and indicator bacteria in healthy food-producing animals is required legally, while countries are also expected to extend their surveillance to diseased animals in the frame of national action plans. In this context, evaluating existing antimicrobial resistance surveillance systems in animal health is important to improve systems in place, but also to help other countries learn from these experiences, understand success factors and anticipate challenges. With this aim, the French surveillance network for antimicrobial resistance in bacteria from diseased animals (RESAPATH) was evaluated using the Outil d'Analyse des Systèmes d'Information en Santé (OASIS) assessment tool. Key performance factors included (i) a strong and inclusive central institutional organisation defining clear and well-accepted surveillance objectives, scope and procedures, (ii) strong skills in epidemiology and microbiology and (iii) a win-win approach enabling the voluntary participation of 71 field laboratories and where free annual proficiency testing plays a pivotal role. The main area for improvement of RESAPATH was its time-consuming data management system.
| S-EPMC8161364 | biostudies-literature
Project description:BackgroundAntibiotic resistance is a growing issue in nursing homes (NHs). Antibiotic stewardship (ABS) programmes can reduce antibiotic use in NHs, but few studies have assessed to what extent they are implemented in NHs.ObjectivesTo describe ABS current practices and describe the opinion of NH stakeholders regarding ABS and opportunities for improvement in one French region.MethodsWe invited by e-mail the medical and nurse coordinators of all NHs of the Grand Est region, France, to participate in our survey in 2019. The online questionnaire included 35 questions covering four topics: NH characteristics, current ABS practices, attitudes towards ABS and opinions on strategies to promote ABS. A score evaluating implementation of core ABS elements was calculated using the current ABS practice responses.ResultsOut of 417 NHs, 75 (18%) participated in our survey. The three most implemented ABS activities were antibiotic consumption monitoring (65%), antibiotic plan documentation (56%) and antibiotic prescription guide distribution (54%). Audit and feedback, training sessions or identification of a local ABS leader ranged from 13% to 29%. Participants positively perceived ABS and most suggestions to improve ABS programmes in NH, with maximal interest in training, audit and feedback interventions. The median score for implementation of core ABS elements was 3.3 (IQR = 2.3-5.4; theoretical range 0-11), and the score distribution was not associated with any NH characteristic.ConclusionsWhile there is still room for improvement, NHs had a positive attitude towards ABS strategies. Some regional and national initiatives to promote ABS in NHs exist and should be actively promoted.
| S-EPMC8499689 | biostudies-literature
Project description:BackgroundGrowing resistance to antimicrobials has become an important health issue of the 21st century. Many international, national and local approaches are being employed for the control and prevention of antimicrobial resistance (AMR). Among them, surveillance is reported to be the best method to reduce the spread of infection and thereby AMR. An integral component of AMR surveillance is the informatics suite for collection, storage and analysis of surveillance data.MethodsConsidering the traits of an optimal surveillance tool and constraints with existing tools, Indian Council of Medical Research (ICMR) initiated the design and development of ICMR's Antimicrobial Resistance Surveillance system (i-AMRSS). i-AMRSS is a web-based tool built using modular architecture. It is capable of collecting standardized data from small laboratories to generate local and nationwide reports.Resultsi-AMRSS is a robust, comprehensive, modular, extensible and intelligent open-source tool piloted in ICMR's AMR Network (31 hospitals and laboratories across India) since 2016. The developed tool has collected more than 280 000 patient records to date.ConclusionsThe standardized data collected through i-AMRSS would be valuable for various collaborators to monitor outbreaks and infection control practices, evaluate transmission dynamics and formulate antibiotic use and selling policies. The tool is presently being used to capture human testing and consumption data, however, it can be extended for AMR surveillance using a 'One Health' approach.
| S-EPMC8210178 | biostudies-literature
Project description:In this multi-centric cross-sectional survey conducted in nursing homes of the French Alps, from 1 March to 31 May 2020, we analyze the relationship between the occurrence of an outbreak of COVID 19 among residents and staff members. Out of 225 eligible nursing homes, 74 (32.8%) completed the survey. Among 5891 residents, the incidence of confirmed or probable COVID-19 was 8.2% (95CI, 7.5% to 8.9%), and 22 (29.7%) facilities had an outbreak with at least 3 cases. Among the 4652 staff members, the incidence of confirmed or probable COVID-19 was 6.3% (95CI, 5.6% to 7.1%). A strong positive correlation existed between residents and staff members for both numbers of cases (r2 = 0.77, p < 0.001) and the incidence (r2 = 0.76, p < 0.001). In univariate analyses, cases among the staff were the only factor associated with the occurrence of an outbreak among residents (OR = 11.2 (95CI, 2.25 to 53.6)). In bivariate analysis, this relationship was not influenced by any nursing home characteristics, nor the action they implemented to mitigate the COVID-19 crisis. Staff members were, therefore, likely to be a source of contamination and spread of COVID-19 among nursing home residents during the first wave of the pandemic.
| S-EPMC8468632 | biostudies-literature
Project description:OBJECTIVE Recerntly, the role of the healthcare network, defined as a set of hospitals linked by patient transfers, has been increasingly considered in the control of antimicrobial resistance. Here, we investigate the potential impact of nursing homes on the spread of antimicrobial-resistant pathogens across the healthcare network and its importance for control strategies. METHODS Based on patient transfer data, we designed a network model representing the Dutch healthcare system of hospitals and nursing homes. We simulated the spread of an antimicrobial-resistant pathogen across the healthcare network, and we modeled transmission within institutions using a stochastic susceptible-infected-susceptible (SIS) epidemic model. Transmission between institutions followed transfers. We identified the contribution of nursing homes to the dispersal of the pathogen by comparing simulations of the network with and without nursing homes. RESULTS Our results strongly suggest that nursing homes in the Netherlands have the potential to drive and sustain epidemics across the healthcare network. Even when the daily probability of transmission in nursing homes is much lower than in hospitals, transmission of resistance can be more effective because of the much longer length of stay of patients in nursing homes. CONCLUSIONS If an antimicrobial-resistant pathogen emerges that spreads easily within nursing homes, control efforts aimed at hospitals may no longer be effective in preventing nationwide outbreaks. It is important to consider nursing homes in planning regional and national infection control and in implementing surveillance systems that monitor the spread of antimicrobial resistance. Infect Control Hosp Epidemiol 2016;37:761-767.
| S-EPMC4926272 | biostudies-literature
Project description:BackgroundDespite widespread adoption of surveillance testing for coronavirus disease 2019 (Covid-19) among staff members in skilled nursing facilities, evidence is limited regarding its relationship with outcomes among facility residents.MethodsUsing data obtained from 2020 to 2022, we performed a retrospective cohort study of testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among staff members in 13,424 skilled nursing facilities during three pandemic periods: before vaccine approval, before the B.1.1.529 (omicron) variant wave, and during the omicron wave. We assessed staff testing volumes during weeks without Covid-19 cases relative to other skilled nursing facilities in the same county, along with Covid-19 cases and deaths among residents during potential outbreaks (defined as the occurrence of a case after 2 weeks with no cases). We reported adjusted differences in outcomes between high-testing facilities (90th percentile of test volume) and low-testing facilities (10th percentile). The two primary outcomes were the weekly cumulative number of Covid-19 cases and related deaths among residents during potential outbreaks.ResultsDuring the overall study period, 519.7 cases of Covid-19 per 100 potential outbreaks were reported among residents of high-testing facilities as compared with 591.2 cases among residents of low-testing facilities (adjusted difference, -71.5; 95% confidence interval [CI], -91.3 to -51.6). During the same period, 42.7 deaths per 100 potential outbreaks occurred in high-testing facilities as compared with 49.8 deaths in low-testing facilities (adjusted difference, -7.1; 95% CI, -11.0 to -3.2). Before vaccine availability, high- and low-testing facilities had 759.9 cases and 1060.2 cases, respectively, per 100 potential outbreaks (adjusted difference, -300.3; 95% CI, -377.1 to -223.5), along with 125.2 and 166.8 deaths (adjusted difference, -41.6; 95% CI, -57.8 to -25.5). Before the omicron wave, the numbers of cases and deaths were similar in high- and low-testing facilities; during the omicron wave, high-testing facilities had fewer cases among residents, but deaths were similar in the two groups.ConclusionsGreater surveillance testing of staff members at skilled nursing facilities was associated with clinically meaningful reductions in Covid-19 cases and deaths among residents, particularly before vaccine availability.
| S-EPMC10052223 | biostudies-literature
Project description:ImportanceControlling antimicrobial resistance in health care is a public health priority, although data describing antimicrobial use in US nursing homes are limited.ObjectiveTo measure the prevalence of antimicrobial use and describe antimicrobial classes and common indications among nursing home residents.Design, setting, and participantsCross-sectional, 1-day point-prevalence surveys of antimicrobial use performed between April 2017 and October 2017, last survey date October 31, 2017, and including 15 276 residents present on the survey date in 161 randomly selected nursing homes from selected counties of 10 Emerging Infections Program (EIP) states. EIP staff reviewed nursing home records to collect data on characteristics of residents and antimicrobials administered at the time of the survey. Nursing home characteristics were obtained from nursing home staff and the Nursing Home Compare website.ExposuresResidence in one of the participating nursing homes at the time of the survey.Main outcomes and measuresPrevalence of antimicrobial use per 100 residents, defined as the number of residents receiving antimicrobial drugs at the time of the survey divided by the total number of surveyed residents. Multivariable logistic regression modeling of antimicrobial use and percentages of drugs within various classifications.ResultsAmong 15 276 nursing home residents included in the study (mean [SD] age, 77.6 [13.7] years; 9475 [62%] women), complete prevalence data were available for 96.8%. The overall antimicrobial use prevalence was 8.2 per 100 residents (95% CI, 7.8-8.8). Antimicrobial use was more prevalent in residents admitted to the nursing home within 30 days before the survey date (18.8 per 100 residents; 95% CI, 17.4-20.3), with central venous catheters (62.8 per 100 residents; 95% CI, 56.9-68.3) or with indwelling urinary catheters (19.1 per 100 residents; 95% CI, 16.4-22.0). Antimicrobials were most often used to treat active infections (77% [95% CI, 74.8%-79.2%]) and primarily for urinary tract infections (28.1% [95% CI, 15.5%-30.7%]). While 18.2% (95% CI, 16.1%-20.1%) were for medical prophylaxis, most often use was for the urinary tract (40.8% [95% CI, 34.8%-47.1%]). Fluoroquinolones were the most common antimicrobial class (12.9% [95% CI, 11.3%-14.8%]), and 33.1% (95% CI, 30.7%-35.6%) of antimicrobials used were broad-spectrum antibiotics.Conclusions and relevanceIn this cross-sectional survey of a cohort of US nursing homes in 2017, prevalence of antimicrobial use was 8.2 per 100 residents. This study provides information on the patterns of antimicrobial use among these nursing home residents.
| S-EPMC8025112 | biostudies-literature
Project description:ObjectiveEpidemiological surveillance of malaria in France is based on a hospital laboratory sentinel surveillance network. There is no comprehensive population surveillance. The objective of this study was to assess the ability of the French National Health Insurance Information System to support nationwide malaria surveillance in continental France.Materials and methodsA case identification algorithm was built in a 2-step process. First, inclusion rules giving priority to sensitivity were defined. Then, based on data description, exclusion rules to increase specificity were applied. To validate our results, we compared them to data from the French National Reference Center for Malaria on case counts, distribution within subgroups, and disease onset date trends.ResultsWe built a reusable automatized tool. From July 1, 2013, to June 30, 2014, we identified 4077 incident malaria cases that occurred in continental France. Our algorithm provided data for hospitalized patients, patients treated by private physicians, and outpatients for the entire population. Our results were similar to those of the National Reference Center for Malaria for each of the outcome criteria.DiscussionWe provided a reliable algorithm for implementing epidemiological surveillance of malaria based on the French National Health Insurance Information System. Our method allowed us to work on the entire population living in continental France, including subpopulations poorly covered by existing surveillance methods.ConclusionTraditional epidemiological surveillance and the approach presented in this paper are complementary, but a formal validation framework for case identification algorithms is necessary.
| S-EPMC7651946 | biostudies-literature
Project description:A major issue in the surveillance of antimicrobial resistance (AMR) is "de-duplication" or removal of repeated isolates, for which there exist multiple methods. The World Health Organization (WHO) Global Antimicrobial Resistance Surveillance System (GLASS) requires de-duplication by selecting only the first isolate of a given bacterial species per patient per surveillance period per specimen type per age group, gender, and infection origin stratification. However, no study on the comparative application of this method has been reported. The objective of this study was to evaluate differences in data tabulation between the WHO GLASS and the Japan Nosocomial Infections Surveillance (JANIS) system, which counts both patients and isolates after removing repeated isolates of the same bacterial species isolated from a patient within 30 days, regardless of specimen type, but distinguishing isolates with change of antimicrobial resistance phenotype. All bacterial data, consisting of approximately 8 million samples from 1795 Japanese hospitals in 2017 were exported from the JANIS database, and were tabulated using either the de-duplication algorithm of GLASS, or JANIS. We compared the tabulated results of the total number of patients whose blood and urine cultures were taken and of the percentage of resistant isolates of Escherichia coli for each priority antibiotic. The number of patients per specimen type tabulated by the JANIS method was always smaller than that of GLASS. There was a small (< 3%) difference in the percentage of resistance of E. coli for any antibiotic between the two methods in both out- and inpatient settings and blood and urine isolates. The two tabulation methods did not show considerable differences in terms of the tabulated percentages of resistance for E. coli. We further discuss how the use of GLASS tabulations to create a public software and website that could help to facilitate the understanding of and treatment against AMR.
| S-EPMC7319286 | biostudies-literature
Project description:ImportanceCoronavirus disease 2019 (COVID-19) is a major threat to nursing homes. During the COVID-19 pandemic wave that hit France in March and April 2020, staff members of some French nursing homes decided to confine themselves with their residents on a voluntary basis to reduce the risk of entry of the severe acute respiratory syndrome coronavirus 2 into the facility.ObjectiveTo investigate COVID-19-related outcomes in French nursing homes that implemented voluntary staff confinement with residents.Design, setting, and participantsThis retrospective cohort study was conducted in French nursing homes from March 1 to May 11, 2020. Participants included residents and staff members of the nursing homes where staff participated in voluntary self-confinement as well as those of the facilities for elderly people where staff did not practice self-confinement. Rates of COVID-19 cases and mortality in the cohort of nursing homes with self confinement were compared with those derived from a population-based survey of nursing homes conducted by French health authorities.ExposuresNursing homes with staff who self-confined were identified from the media and included if the confinement period of staff with residents was longer than 7 days.Main outcomes and measuresMortality related to COVID-19 among residents and COVID-19 cases among residents and staff members. COVID-19 was diagnosed by primary care or hospital physicians on the basis of fever and respiratory signs (eg, cough, dyspnea) or a clinical illness compatible with COVID-19; COVID-19 diagnoses were considered confirmed if real-time reverse transcriptase-polymerase chain reaction testing for severe acute respiratory syndrome coronavirus 2 on nasopharyngeal swab was positive and considered possible if the test had not been performed or results were negative. Cases of COVID-19 were recorded by a telephone interview with the directors of nursing homes with staff who self-confined and by a nationwide declaration survey to health authorities for all facilities.ResultsThis study included 17 nursing homes in which 794 staff members confined themselves to the facility with their 1250 residents. The national survey included 9513 facilities with 385 290 staff members and 695 060 residents. Only 1 nursing home with staff who self-confined (5.8%) had cases of COVID-19 among residents, compared with 4599 facilities in the national survey (48.3%) (P < .001). Five residents (0.4%) in the nursing homes with staff who self-confined had confirmed COVID-19, compared with 30 569 residents (4.4%) with confirmed COVID-19 in the national survey (P < .001); no residents of facilities with self-confinement had possible COVID-19, compared with 31 799 residents (4.6%) with possible COVID-19 in the national survey (P < .001). Five residents (0.4%) in the nursing homes with staff who self-confined died of COVID-19, compared with 12 516 (1.8%) in the national survey (odds ratio, 0.22; 95% CI, 0.09-0.53; P < .001). Twelve staff members (1.6%) from the facilties with self-confinement had confirmed or possible COVID-19, compared with 29 463 staff members (7.6%) in the national survey (P < .001).Conclusions and relevanceIn this cohort study of French nursing homes during the COVID-19 pandemic, mortality rates related to COVID-19 were lower among nursing homes that implemented staff confinement with residents compared with those in a national survey. These findings suggest that self-confinement of staff members with residents may help protect nursing home residents from mortality related to COVID-19 and residents and staff from COVID-19 infection.
| S-EPMC7426749 | biostudies-literature