Dataset Information

A cross-sectional study on the prevalence of antibiotic use prior to laboratory tests at two Ghanaian hospitals.

ABSTRACT: There has been a significant rise in global antibiotic use in recent years. Development of resistance has been linked to easy accessibility, lack of regulation of sale, increased tendency to self-medicate and the lack of public knowledge. The increase in antibiotic misuse, including self-medication, has not been well documented in developing countries. Antibiotic use prior to visiting health facilities has been found to be prevalent in developing countries. It has been identified by some studies to increase the likelihood of missed diagnoses and influence the outcome of bacteriological tests. This study is aimed at determining the prevalence of prior antibiotic use through a cross-sectional survey of patients undergoing laboratory tests at two health facilities in Ghana. Face-to-face questionnaires were used to interview 261 individuals chosen by random sampling of patients visiting the bacteriology laboratory of the hospitals within a two-month period. The questionnaire investigated participant demographic characteristics, knowledge about antibiotics and the nature of antibiotic use. Antibiotic property detection bioassay was performed on patient's urine sample using a disk diffusion method to accurately determine antibiotic use within 72 hours. Culture results were used as an index to evaluate the effect of prior antibiotic use on bacteriological tests. Out of a 261 participants enrolled, 19.9% (95% CI, 14.9-24.9) acknowledged using antibiotics prior to their visit to the laboratory during the study period. On the contrary, 31.4% (95% CI, 25.7-37.5) of participants' urine samples were positive for antimicrobial activity. Participants within the age ranges of 20-30, 31-40 and 41-50 years had significantly lower odds of urine antimicrobial activity. Participants who had urine antimicrobial activity were more likely to have no growth on their culture plates than participants who had no urine antimicrobial activity [OR 2.39(1.37-4.18), p = 0.002]. The most commonly used antibiotics were the penicillins, fluoroquinolones and metronidazole. Although, majority of the participant (54.8%) had knowledge of antibiotics, most of them had inadequate information on their proper use. The commonest indications for antibiotic use were aches and pains (30.3%), diarrhoea (43.3%) and urinary tract infections (28.0%). Prior antibiotic use was found to increase the likelihood of obtaining a culture negative result and can affect the outcome of bacteriological tests.

SUBMITTER: Donkor GY

PROVIDER: S-EPMC6333348 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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A cross-sectional study on the prevalence of antibiotic use prior to laboratory tests at two Ghanaian hospitals.

Donkor Gracious Yoofi GY Dontoh Ebenezer E Owusu-Ofori Alex A

PloS one 20190115 1

There has been a significant rise in global antibiotic use in recent years. Development of resistance has been linked to easy accessibility, lack of regulation of sale, increased tendency to self-medicate and the lack of public knowledge. The increase in antibiotic misuse, including self-medication, has not been well documented in developing countries. Antibiotic use prior to visiting health facilities has been found to be prevalent in developing countries. It has been identified by some studies ...[more]

PMID: 30645626

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Project description:An audit of the antibiotic prophylaxis in surgical procedures is the basic area of antimicrobial stewardship programme. The current research aimed to evaluate the adherence-proportion of the pre-operative antibiotic prophylaxis (PAP) practices in common elective surgical procedures. It was an eight-month (January 2017 to August 2017) observational cross-sectional patients' treatment record-based study conducted at two tertiary care teaching hospitals of Islamabad, Pakistan. We investigated the three most commonly performed elective general surgical procedures at the hospitals in adults aged > 18 years with no previous infection or surgery. The required data were extracted from the medical charts. Current prescribing practices were compared with the standard prescribing guidelines. A total of 660 (Government Hospital (GH), n = 330 and Private Hospital (PH), n = 330) procedures were observed. The most commonly performed elective general surgical procedures were laparoscopic cholecystectomy 307/660 (46.5%), followed by direct inguinal hernia 197/660 (29.8%) and total thyroidectomy 156/660 (23.6%). Non-use of PAP was observed in 64/660 (9.7%) cases. PAP was given to 90.3% (n = 596/660) cases (300/330 (90.9%) patients in GH and 296/330 (89.7%) in PH; P = 0.599). Based on the existing guidelines, the choice of antibiotics was correct in only 4.2% (25/596) patients (10/300; 3.3% cases at GH and 15/296; 5% at PH). The appropriate use of antibiotics was significantly greater in direct inguinal hernia (n = 19/193; 9.8%) cases compared with that in total thyroidectomy (n = 4/152; 2.6%) and laparoscopic cholecystectomy (n = 2/251; 0.8%) cases; P = 0.001. Compliance to the timing was only 51% (n = 304/596) of the total patients received PAP which was significantly lower in GH 97/300 (32.3%) as compared with that in PH 207/296 (69.9%); P = 0.001. Administration timing of antibiotics was observed to be more appropriate in total thyroidectomy (n = 79/152; 51.9%) cases than in laparoscopic cholecystectomy (n = 130/251; 51.8%) and direct inguinal hernia (n = 95/193; 49.2%) cases; P = 0.001. The route and dose were appropriate in accordance with the guidelines in all cases (100%). Most of the patients received ceftriaxone, a third-generation cephalosporin that is no longer recommended by the latest international guidelines. The current analysis revealed an alarmingly poor adherence rate with the guidelines in the three elective surgical procedures at both hospitals. To improve the situation, training and awareness programs about the antimicrobial stewardship interventions on the institutional level may be valuable.

Project description:The Internet hospital, an innovative approach to providing health care, is rapidly developing in China because it has the potential to provide widely accessible outpatient service delivery via Internet technologies. To date, China's Internet hospitals have not been systematically investigated.The aim of this study was to describe the characteristics of China's Internet hospitals, and to assess their health service capacity.We searched Baidu, the popular Chinese search engine, to identify Internet hospitals, using search terms such as "Internet hospital," "web hospital," or "cloud hospital." All Internet hospitals in mainland China were eligible for inclusion if they were officially registered. Our search was carried out until March 31, 2017.We identified 68 Internet hospitals, of which 43 have been put into use and 25 were under construction. Of the 43 established Internet hospitals, 13 (30%) were in the hospital informatization stage, 24 (56%) were in the Web ward stage, and 6 (14%) were in full Internet hospital stage. Patients accessed outpatient service delivery via website (74%, 32/43), app (42%, 18/43), or offline medical consultation facility (37%, 16/43) from the Internet hospital. Furthermore, 25 (58%) of the Internet hospitals asked doctors to deliver health services at a specific Web clinic, whereas 18 (42%) did not. The consulting methods included video chat (60%, 26/43), telephone (19%, 8/43), and graphic message (28%, 12/43); 13 (30%) Internet hospitals cannot be consulted online any more. Only 6 Internet hospitals were included in the coverage of health insurance. The median number of doctors available online was zero (interquartile range [IQR] 0 to 5; max 16,492). The median consultation fee per time was ¥20 (approximately US $2.90, IQR ¥0 to ¥200).Internet hospitals provide convenient outpatient service delivery. However, many of the Internet hospitals are not yet mature and are faced with various issues such as online doctor scarcity and the unavailability of health insurance coverage. China's Internet hospitals are heading in the right direction to improve provision of health services, but much more remains to be done.

Project description:Urinary tract infections (UTIs) account for over 30% of healthcare-associated infections. The aim of this study was to determine healthcare-associated UTI (HAUTI) and catheter-associated UTI (CAUTI) point prevalence in six Australian hospitals to inform a national point prevalence process and compare two internationally accepted HAUTI definitions. We also described the level and comprehensiveness of clinical record documentation, microbiology laboratory and coding data at identifying HAUTIs and CAUTIs.Data were collected from three public and three private Australian hospitals over the first 6?months of 2013.A total of 1109 patients were surveyed. Records of patients of all ages, hospitalised on the day of the point prevalence at the study sites, were eligible for inclusion. Outpatients, patients in adult mental health units, patients categorised as maintenance care type (ie, patients waiting to be transferred to a long-term care facility) and those in the emergency department during the duration of the survey were excluded.The primary outcome measures were the HAUTI and CAUTI point prevalence.Overall HAUTI and CAUTI prevalence was 1.4% (15/1109) and 0.9% (10/1109), respectively. Staphylococcus aureus and Candida species were the most common pathogens. One-quarter (26.3%) of patients had a urinary catheter and fewer than half had appropriate documentation. Eight of the 15 patients ascertained to have a HAUTI based on clinical records (6 being CAUTI) were coded by the medical records department with an International Classification of Diseases (ICD)-10 code for UTI diagnosis. The Health Protection Agency Surveillance definition had a positive predictive value of 91.67% (CI 64.61 to 98.51) compared against the Centers for Disease Control and Prevention definition.These study results provide a foundation for a national Australian point prevalence study and inform the development and implementation of targeted healthcare-associated infection surveillance more broadly.

Project description:OBJECTIVES:To determine the appropriateness of medical imaging examinations involving radiation and to estimate the effective radiation dose and costs associated. DESIGN:Cross-sectional retrospective study. SETTING:Two Spanish public tertiary hospitals. PARTICIPANTS:2022 medical imaging tests were extracted from the radiology information system in February and March of 2014. MRI and ultrasound examinations were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES:Five outcomes were set independently by at least two researchers according to four guidelines: (1) appropriate; (2) inappropriate; (3) inappropriate due to repetition, if the timing to carry out next diagnostic tests was incorrect according to guidelines; (4) not adequately justified, if the referral form did not include enough clinical information to allow us to understand the patient's clinical condition; and (5) not included in the guidelines, if the referral could not be matched to a clinical scenario described in the guidelines. We estimated the prevalence of the five categories according to relevant clinical and sociodemographic variables and the effective radiation dose and costs for each category. RESULTS:Approximately half of the imaging tests were deemed as appropriate (967, 47.8%) while one-third (634, 31.4%) were considered inappropriate. 19.6% of the effective dose and 25.2% of the cost were associated with inappropriate tests. Women were less likely than men to have an imaging test classified as appropriate (adjusted OR 0.70,95%?CI 0.57 to 0.86). Imaging tests requested by general practitioners were less likely to be considered appropriate than those requested by central services (adjusted OR 0.60, 95%?CI 0.38 to 0.93). Mammography and CT were more likely to be appropriate than conventional X-rays. CONCLUSION:There was a significant frequency of inappropriateness, which resulted in a high percentage of associated effective radiation dose. Percentage of inappropriateness depends on sociodemographic and clinical characteristics such as sex, age, referral physician and medical imaging test.

Project description:ObjectivesTo present and compare antibiotic prescribing for inpatients among the most common non-bacterial diagnoses groups at medicine departments of a teaching (TH) and a non-teaching hospital (NTH) in central India.SettingAn observational cross-sectional study was conducted at two tertiary care settings in Ujjain district, Madhya Pradesh, India.Data and participantsThe data were collected manually, using a customised form. Complete records of all inpatients, who were >15?years of age and had stayed for at least one night in either of the hospitals during 2008-2011, were analysed.Outcome measuresInpatients were grouped according to the presence or absence of a bacterial infectious diagnosis, viral/malaria fever or cardiovascular disease. Classes of antibiotics prescribed to these groups and adherence to the available prescribing guidelines were compared between the hospitals using the notes from the patient files and the diagnoses.ResultsOf 20?303 inpatients included in the study, 66% were prescribed antibiotics. Trade name prescribing and use of broad-spectrum antibiotics were more frequent at the NTH than at the TH (p<0.001). At the TH a significantly higher proportion of patients having fever without registered bacterial infection were prescribed antibiotics (82%) compared with the NTH (71%, p<0.001). Patients admitted for cardiovascular diagnosis without registered bacterial infections received antibiotic prescriptions at both hospitals (NTH 47% and TH 37%) but this was significantly higher at the NTH (p<0.001). None of the diagnoses were confirmed by microbiology reports.ConclusionsPrescribing antibiotics, including broad-spectrum antibiotics, to inpatients without bacterial infections-that is, viral fever, malaria and cardiovascular disease, was common at both hospitals, which increases the risk for development of bacterial resistance, a global public health threat. In view of the overprescribing of antibiotics, the main recommendations are development and implementation of local prescription guidelines, encouragement to use laboratory facilities and prescription analysis, with antibiotic stewardship programmes.

Project description:ImportanceLaboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but a systematic method to identify these unnecessary tests in individual cases is lacking.ObjectiveTo systematically identify low-yield inpatient laboratory testing through personalized predictions.Design, setting, and participantsIn this retrospective diagnostic study with multivariable prediction models, 116 637 inpatients treated at Stanford University Hospital from January 1, 2008, to December 31, 2017, a total of 60 929 inpatients treated at University of Michigan from January 1, 2015, to December 31, 2018, and 13 940 inpatients treated at the University of California, San Francisco from January 1 to December 31, 2018, were assessed.Main outcomes and measuresDiagnostic accuracy measures, including sensitivity, specificity, negative predictive values (NPVs), positive predictive values (PPVs), and area under the receiver operating characteristic curve (AUROC), of machine learning models when predicting whether inpatient laboratory tests yield a normal result as defined by local laboratory reference ranges.ResultsIn the recent data sets (July 1, 2014, to June 30, 2017) from Stanford University Hospital (including 22 664 female inpatients with a mean [SD] age of 58.8 [19.0] years and 22 016 male inpatients with a mean [SD] age of 59.0 [18.1] years), among the top 20 highest-volume tests, 792 397 were repeats of orders within 24 hours, including tests that are physiologically unlikely to yield new information that quickly (eg, white blood cell differential, glycated hemoglobin, and serum albumin level). The best-performing machine learning models predicted normal results with an AUROC of 0.90 or greater for 12 stand-alone laboratory tests (eg, sodium AUROC, 0.92 [95% CI, 0.91-0.93]; sensitivity, 98%; specificity, 35%; PPV, 66%; NPV, 93%; lactate dehydrogenase AUROC, 0.93 [95% CI, 0.93-0.94]; sensitivity, 96%; specificity, 65%; PPV, 71%; NPV, 95%; and troponin I AUROC, 0.92 [95% CI, 0.91-0.93]; sensitivity, 88%; specificity, 79%; PPV, 67%; NPV, 93%) and 10 common laboratory test components (eg, hemoglobin AUROC, 0.94 [95% CI, 0.92-0.95]; sensitivity, 99%; specificity, 17%; PPV, 90%; NPV, 81%; creatinine AUROC, 0.96 [95% CI, 0.96-0.97]; sensitivity, 93%; specificity, 83%; PPV, 79%; NPV, 94%; and urea nitrogen AUROC, 0.95 [95% CI, 0.94, 0.96]; sensitivity, 87%; specificity, 89%; PPV, 77%; NPV 94%).Conclusions and relevanceThe findings suggest that low-yield diagnostic testing is common and can be systematically identified through data-driven methods and patient context-aware predictions. Implementing machine learning models appear to be able to quantify the level of uncertainty and expected information gained from diagnostic tests explicitly, with the potential to encourage useful testing and discourage low-value testing that incurs direct costs and indirect harms.

Dataset Information

A cross-sectional study on the prevalence of antibiotic use prior to laboratory tests at two Ghanaian hospitals.

Publications

A cross-sectional study on the prevalence of antibiotic use prior to laboratory tests at two Ghanaian hospitals.

Similar Datasets

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