The impact of serious adverse drug reactions: a population-based study of a decade of hospital admissions in New South Wales, Australia

Predictors of Adverse Drug Reaction-Related Hospitalisations Among People with Dementia: A Retrospective Case-Control Study

INTRODUCTION

Adverse drug reactions (ADRs) are common among people with dementia; however, little is known about the magnitude and predictors associated with ADR-related hospitalisation among these individuals. This study aimed to determine the magnitude, types, drugs implicated and predictors of ADRs associated with hospitalisation among people with dementia.

METHODS

This retrospective case-control study analysed medical records of individuals aged ≥ 65 years with dementia admitted to major public hospitals in Tasmania, Australia, from July 2010 to July 2021. Adverse drug reactions and implicated drugs were identified using administrative data and cross-checked with hospital medical records, with consensus reached among the research team.

RESULTS

Of the 7928 people admitted to hospital at least once within the study period, 1876 (23.7%) experienced at least one ADR-related hospitalisation. Of these, 300 case patients with 311 ADRs and 300 control patients were randomly selected. The most common types of ADRs were renal (acute kidney injury; AKI) (36.0%), followed by neuropsychiatric (17.6%), cardiovascular (16.0%) and haematological (13.1%). Diuretics, renin-angiotensin system (RAS) inhibitors and anti-thrombotics constituted the main implicated drug classes. The ADR-related hospitalisation was associated with: chronic kidney disease (CKD) (OR 8.00, 95% CI 2.63-24.28, p < 0.001), Australian-born (OR 1.62, 95% CI 1.08-2.43, p = 0.019), hypertension (OR 1.48, 95% CI 1.01-2.17, p = 0.044) and the number of medicines (OR 1.06, 95% CI 1.00-1.12, p = 0.022). Potentially inappropriate medication use and anticholinergic burden did not predict ADR-related hospitalisation.

CONCLUSIONS

These predictors could help identify the individuals at the highest risk and enable targeted interventions to be designed.

Adverse Drug Reactions Related with Antibiotic Medicines in Malawi: A Retrospective Analysis of Prevalence and Associated Factors

Objective

We aimed to assess the occurrence and characteristics of antibiotic-associated adverse drug reactions (ADRs) in Malawi.

Methods

We retrospectively reviewed 304 patient records from medical wards in three hospitals in Southern Malawi. A global trigger tool was applied for the detection of suspected ADRs, and we used the Naranjo scale, the World Health Organization classification and the Schumock and Thornton scale for causality, seriousness and preventability assessment respectively. ADRs were also further characterized according to anatomical systems. Statistical analysis was done in STATA 14.1. The Chi-square test was used to determine the association between categorical variables and logistic regression analysis was used to measure the strength of the association between various independent variables and the occurrence of ADRs.

Results

Suspected ADRs were detected in 24% (73/304) of patients, of which 1.4% were definite, 15.1% were probable and 83.6% were possible ADRs. Most of the sADRs were gastrointestinal events (42.5%), followed by: musculoskeletal (26.3%); cardiovascular (16.3%); central nervous system (13.8%; and urinary events (1.3%). About 27% of the sADRs were serious events such as convulsions. The geriatric age group (≥65 years) was more likely to experience sADRs as compared to the younger age group, with an adjusted odds ratio (aOR) of 4.53, 95% CI (2.21-9.28), P<0.001. Patients taking more than one antibiotic medicine had a higher risk of developing sADRs as compared to patients who were administered one type of antibiotic medicine, aOR 2.14, 95% CI (1.18-3.90), p < 0.012. A long hospital stay of >3days was associated with a higher risk of sADRs with aOR of 5.11, 95% CI (2.47-10.55), p < 0.001 than those who stayed ≤ 3 days in the hospital.

Conclusion

We found a higher prevalence of serious sADRs associated with antibiotic medicines than reported elsewhere. This may, among others, contribute to high patient mortality, poor treatment adherence, antibiotic resistance and increased cost of care.

Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge inference. However, in conjunction with a lack of a representative KG construction taxonomy, several existing approaches in this designated domain are inadequate and inferior. This paper is the first to provide a comprehensive taxonomy and a bird's eye view of healthcare KG construction. Additionally, a thorough examination of the current state-of-the-art techniques drawn from academic works relevant to various healthcare contexts is carried out. These techniques are critically evaluated in terms of methods used for knowledge extraction, types of the knowledge base and sources, and the incorporated evaluation protocols. Finally, several research findings and existing issues in the literature are reported and discussed, opening horizons for future research in this vibrant area.

Adverse Drug Reactions to Anti-infectives in Hospitalized Children: A Multicenter Study in Brazil

INTRODUCTION

Adverse drug reactions (ADRs) to anti-infectives affect especially hospitalized children and contribute to increased morbidity, mortality, length of stay, and costs in healthcare systems.

OBJECTIVE

To assess ADRs associated with anti-infective use in Brazilian hospitalized children.

METHODS

A prospective cohort study was conducted in 5 public hospitals over 6 months. Children aged 0-11 years and 11 months who were hospitalized for more than 48 h and prescribed anti-infectives for over 24 h were included.

RESULTS

A total of 1020 patients met the inclusion criteria. Of these, 152 patients experienced 183 suspected ADRs. Most reactions were related to the gastrointestinal system (65.6%), followed by skin reactions (18.6%). Most reactions were classified as probable causality (58.5%), moderate severity (61.1%), and unavoidable (56.2%). Our findings showed that ADRs were associated with increased length of stay (P < .001), increased length of therapy (P < .015), increased days of therapy (P = .038), and increased number of anti-infectives prescribed per patient (P < .001).

CONCLUSION

Almost 15% of hospitalized children exposed to anti-infectives presented suspected ADRs. Their occurrence was classified as probable, of moderate severity, and unavoidable. ADRs were significantly influenced by the length of hospital stay and the number of anti-infectives prescribed per patient.

Shortcomings of Administrative Data to Derive Preventive Strategies for Inhospital Drug-Induced Acute Kidney Failure—Insights from Patient Record Analysis

Structured analyses of hospital administrative data may detect potentially preventable adverse drug events (ADE) and therefore are considered promising sources to prevent future harm and estimate cost savings. Whether results of these analyses indeed correspond to ADE that may be preventable in clinical routines needs to be verified. We exemplarily screened all adult inpatients admitted to a German University Hospital (n = 54,032) for International Classification of Diseases-10th revision (ICD-10) diagnoses coding for drug-induced kidney injury (AKI). In a retrospective chart review, we checked the coded adverse events (AE) for inhospital occurrence, causality to drug exposure, and preventability in all identified cases and calculated positive predictive values (ppv). We identified 69 inpatient cases of whom 41 cases (59.4%) experienced the AE in the hospital (ppv-range 0.43–0.80). Causality assessment revealed a rather likely causal relationship between AE and drug exposure in 11 cases (15.9, 11/69, ppv-range 0.17–0.22) whereby preventability measures could be postulated for seven cases (10.1%, 7/69). Focusing on drug-induced AKI, this study exemplarily underlines that ICD-10-code-based ADE prevention efforts are quite limited due to the small identification rate and its high proportion of primarily outpatient events. Furthermore, causality assessment revealed that cases are often too complex to benefit from generic prevention strategies. Thus, ICD-10-code-based calculations might overestimate patient harm and economic losses.

Ten-year trends in adverse drug reaction–related hospitalizations among people with dementia

Aim:

Trends in the incidence of adverse drug reaction (ADR)–related hospitalizations have been studied in the general population, but not specifically in people with dementia. This study aimed to investigate trends in the incidence of ADR-related hospitalizations among people with dementia, and identify the most commonly implicated drugs and diagnoses in these admissions.

Methods:

This study utilized the administrative data of all adults admitted to the four major public hospitals of Tasmania, Australia, with a primary or secondary diagnosis of dementia from July 2010 to December 2019. ADR-related hospitalizations were identified by using diagnosis-based and external cause codes. The Cochran–Armitage test was used to examine trends in the incidence of ADR-related hospitalizations.

Results:

Of the 7552 people with dementia admitted to the hospital at least once within the study period, 1775 (23.5%) experienced at least one ADR-related hospitalization. The estimated annual incidence of ADR-related hospitalizations increased 18% (1484–1760 per 100,000 population with dementia, p for trend <0.05) from 2010 to 2019. For those ADR-related admissions with a drug code recorded, 19.3% were due to antithrombotics and 11.5% to antihypertensives. The most frequent ADR-related admission diagnoses were renal diseases (72.9%). Length of hospital stay and in-hospital mortality were both significantly greater for ADR-related, relative to non-ADR-related, admissions (median 7 versus 5 days and 11% versus 6.7%, respectively; p < 0.001).

Conclusion:

The annual incidence of ADR-related hospitalizations in people with dementia increased between 2010 and 2019. Antithrombotics were the most commonly implicated drug class. The ADR-related hospitalizations were associated with increased length of stay and greater mortality.

Plain Language Summary

Adverse drug reaction–related hospitalizations among people with dementia

Introduction:

This study aimed to investigate trends in hospitalizations associated with medication problems among people with dementia, and identify the most commonly implicated drugs and diagnoses in these admissions.

Methods:

This study utilized the administrative data of all adults admitted to the four major public hospitals of Tasmania, Australia, with dementia from July 2010 to December 2019.

Results:

The annual incidence of hospitalizations associated with medication problems among people with dementia increased nearly 20% over 10 years. The length of hospital stay and in-hospital mortality were significantly greater for hospitalizations related to medication problems.

Conclusion:

The incidence of hospitalizations associated with medication problems in people with dementia increased between 2010 and 2019.

Evaluation of Adverse Drug Reactions in Paediatric Patients: A Retrospective Study in Turkish Hospital

Drug safety in paediatric patients is a serious public health concern around the world. The paediatric patients are more prone to adverse drug reactions (ADRs) than adults. Moreover, there is a scarcity of information about ADRs in paediatric patients. This study was conducted to determine the frequency, causality, severity, preventability of paediatric patients’ ADRs reported in a tertiary care hospital in Adana, Turkey. A retrospective study was conducted on all spontaneously reported ADRs between January 01, 2020, to July 30, 2021, in paediatric patients. The ADRs reports were evaluated in terms of gender, age, ADR characteristics, suspected drugs and reporting source. All included ADRs reports were characterized according to the Naranjo Algorithm/World Health Organization (WHO) causality scales, Hartwig/Siegel and Common Terminology Criteria for Adverse Events (CTCAE) severity scales, the modified Schoumock and Thornton preventability scale and hospital pharmacovigilance center criteria for seriousness. Therapeutic groups were also coded using the WHO-Anatomical Therapeutic and Chemical (ATC) classification. During the study period, 8,912 paediatric patients who were admitted had 16 ADRs with 1.7 ADRs/1,000 admissions. The majority of ADRs were found in infants (31.2%) and children (56.2%) as compared to adolescents (12.5%). ADRs were observed more in females (81.2%) than males. Skin (62.5%) was the most affected organ due to the ADRs, and maculopapular rash and erythema multiforme were the most commonly reported symptoms. Most ADRs were probable/likely (93.7%), severe (50%), preventable or probably preventable (43.7%) and serious (37.5%). Antibiotics (93.7%) were found to be the most common cause of ADRs in paediatric patients. The majority of ADRs were associated with vancomycin (68.7%). Most of the ADRs were reported by a medical doctor in this study. This small sample size study highlights significant problems of ADRs in paediatric patients, mainly caused by antibiotics and with a majority of ADRs manifest as skin reactions. Furthermore, a high proportion of the identified ADRs were found to be preventable. More focused efforts are needed at the national level to avoid preventable ADRs in hospitals. Monitoring and management of ADRs and future studies would be beneficial for better patient care and safety.

Knowledge of Adverse Drug Reactions Reporting among Doctors and Nurses in a Tertiary Care Hospital: A Descriptive Cross-sectional Study

INTRODUCTION

Doctors and nurses have a significant role in the detection of serious and unusual drug reactions. Effective implementation of an adverse drug reaction reporting system is required to ensure patient safety and quality care. This study's objective was to find the prevalence of good knowledge of adverse drug reaction reporting among the Doctors and nurses working in a tertiary care hospital.

METHODS

A descriptive cross-sectional study was conducted among doctors and nurses from 15 February 2020 to 15 July 2020 at Birat Medical College and Teaching Hospital. The convenience sampling method was used to select 192 study participants. A semi-structured questionnaire was used to know the knowledge concept of adverse drug reaction reporting. Ethical clearance was taken from IRC (PA-047/2076-77) of Birat Medical College and Teaching Hospital. Written informed consent was taken from each study participant. Collected data were entered in Microsoft Excel 2010 and analyzed by Statistical Package for the Social Sciences v23.

RESULTS

In total, 192 doctors and nurses, the questionnaires were distributed to 52 (27.1%) doctors and 140 (72.9%) nurses. The mean age of study participants was 28.14 years (SD±4.5). To know the prevalence of knowledge, 15 knowledge related questions of adverse drug reaction had asked. The majority of doctors and nurses had good knowledge about adverse drug reaction reporting, 75% and 64%, respectively.

CONCLUSIONS

Overall, doctors and nurses have had good knowledge of adverse drug reaction reporting. Data shows there is still more gap in training and experience on adverse drug reaction reporting systems.

Development and validation of the Adverse Inpatient Medication Event model (AIME)

AIMS

Medication harm has negative clinical and economic consequences, contributing to hospitalisation, morbidity and mortality. The incidence ranges from 4 to 14%, of which up to 50% of events may be preventable. A predictive model for identifying high-risk inpatients can guide a timely and systematic approach to prioritisation. The aim of this study is to develop and internally validate a risk prediction model for prioritisation of hospitalised patients at risk of medication harm.

METHODS

A retrospective cohort study was conducted in general medical and geriatric specialties at an Australian hospital over six months. Medication harm was identified using International Classification of Disease (ICD-10) codes and the hospital's incident database. Sixty-eight variables, including medications and laboratory results, were extracted from the hospital's databases. Multivariable logistic regression was used to develop the final risk model. Performance was evaluated using area under the receiver operative characteristic curve (AuROC) and clinical utility was determined using decision curve analysis.

RESULTS

The study cohort included 1982 patients with median age 74 years, of which 136 (7%) experienced at least one adverse medication event(s). The model included: length of stay, hospital re-admission within 12 months, venous or arterial thrombosis and/or embolism, ≥ 8 medications, serum sodium < 126 mmol/L, INR > 3, anti-psychotic, antiarrhythmic and immunosuppressant medications, and history of medication allergy. Validation gave an AuROC of 0.70 (95% CI: 0.65-0.74). Decision curve analysis identified that the AIME may be clinically useful to help guide decision making in practice.

CONCLUSION

We have developed a predictive model with reasonable performance. Future steps include external validation and impact evaluation.

Pharmacovigilance and incidence of adverse drug reactions in hospitalized pediatric patients: a mini systematic review

Background

Pharmacovigilance is an identifying and responding process against an adverse drug reaction (ADRs) problem encountered in the drug administration. ADRs are among the common reasons for morbidity and fatality in pediatrics throughout the globe.

Main body

A systemic review of the previous 10 years (2010–2019) published studies were taken into consideration to describe observational studies on ADRs and to determine the incidence and characteristics of ADRs in pediatrics. Electronic relevant literature was searched in PMC, PubMed, Google Scholar, and OvidSP databases using MESH heading and text words. The titles, text, and abstracts were checked for patients below 18 years of age, nature of ADRs, observational studies (prospective or retrospective), and maximum information was recorded to count their frequency. The studies which discussed specific or particular drug exposures were not selected in this review. Of the 36,689 titles retrieved, 27 studies were selected for full-text review. Ten observational studies were added in the final review. Observational studies on pediatric were carried out in seven distinct nations. The predominant study design within observational methodological studies was prospective (n = 5, 50%). The overall average occurrence of ADRs incidence was 9.52%. ADRs reporting in male patients (54.6%) were more than females (45.4%). The severe types of ADRs were reported in four studies. Anti-microbials were the most common class of drugs related to ADRs.

Conclusion

This systematic review reveals that ADRs in pediatrics are serious public health problems. Periodic drug surveillance studies are mandatory for the safe and appropriate usage of medicines in pediatrics.

Adverse drug reaction reporting practice and associated factors among medical doctors in government hospitals in Addis Ababa, Ethiopia

INTRODUCTION

Adverse drug reactions (ADRs) are global public health problems. In its severe form it may cause hospital admission, morbidity and mortality. Early reporting of suspected ADRs to regulatory authorities is known to be appropriate measure toinsure health and safety of public form such adverse drug reaction of drugs. In Addis Ababa, there is limited information on ADR reporting practices among medical doctors. Hence, this study aimed to assess ADR reporting practices and associated factors among doctors in government hospitals in Addis Ababa.

METHODS

An institution based cross-sectional mixed-methods study design was used. Data werecollected from 407 doctors using self-administered questionnaire and five key informants using semi-structured questionnaire from October 01 to December 31, 2017. Binary logistic regression and thematic analysis methods for quantitative and qualitative data analysis were used respectively.

RESULTS

Only 94(27.4%) of doctors had ever reported ADRs to national pharmacovigilance center. The study showed that sex (AOR = 3.51, 95% CI: 1.76-7.03), level ofeducation (AOR = 5.01, 95% CI: 2.23-11.28), work experience (AOR = 4.59, 95% CI: 1.21-17.40), existence of ADR reporting form (AOR = 3.96, 95% CI: 1.07-14.61) and reporting to respective marketing authorization holders (AOR = 21.41, 95% CI: 5.89-77.88) were significantly associated with ADR reporting practices. Poor awareness and training on risk of under-reporting, feeling that reporting is minor, absence of appropriate reporting tools, delay and/or absence of feedback on reported ADRs, overly burdened doctors, negligence, fear of legal liabilityand communication gap were cited by key informants as barriers for reporting practice.

CONCLUSIONS

Adverse drug reaction reporting practice among doctors wasfound to be low. Sex, level of education, work experience, existence of reporting form and reporting to marketing authorization holderswere significantly associated with ADR reporting practice. In addition, there are gaps in availabilities of guidelines, reporting systems and structure, pre-service and in-service training, and awareness of doctors on impact of reporting. Hence, improving access to ADR reporting form, decentralize safety monitoring system, and conducting awareness training on ADR reporting are essential to improve the ADR reporting practice.

Drug Therapeutic Failures as a Cause of Admission to an Intensive Care Unit at a University Hospital

Objective

Drug therapeutic failures (TFs) are included in pharmacovigilance reporting, as some authors consider them a type of adverse drug reaction. Given their high frequency in Colombia, we studied their importance as a cause of admission to an intensive care unit (ICU).

Methods

This was a cross-sectional observational study. Clinical records of patients who arrived at the emergency service of a third-care level university hospital were reviewed. Information was collected by a resident in clinical toxicology, and each case was validated and analyzed by a research team using the algorithm proposed by Vaca González and Schumock and Thornton criteria for preventability to evaluate the existence of possible medication errors.

Findings

In total, 697 clinical records were evaluated and 18 patients presented TFs (2.6%, 95% confidence interval 1.5%-4.1%) as the cause of admission to the ICU. The most frequent TFs were seizures (56%) and hypertension (28%). The most commonly associated medications were valproic acid (28%) and losartan (28%). Ten cases (56%) were associated with drug misuse and the same number of cases was preventable, according to Schumock and Thornton criteria.

Conclusion

This is the first study assessing TFs as a cause of admission to the ICU in the Colombian population. The frequency of TFs in our study was similar to that described in the literature; being the most common cause the inappropriate drug use, particularly for drugs with complex kinetics, such as antiepileptic drugs.

Nurse-led medicines' monitoring in care homes, implementing the Adverse Drug Reaction (ADRe) Profile improvement initiative for mental health medicines: An observational and interview study

Introduction

Preventable adverse effects of medicines often pass unnoticed, but lead to real harm.

Intervention

Nurse-led monitoring using the structured Adverse Drug Reaction (ADRe) Profile identifies and addresses adverse effects of mental health medicines.

Objectives

This study investigated the implementation and clinical impact of ADRe, and barriers to and facilitators of sustained utilisation in routine practice.

Methods

Administration of ADRe was observed for 30 residents prescribed mental health medicines in ten care homes. The study pharmacist reviewed completed ADRes against medication records. Policy context was explored in 30 interviews with service users, nurse managers and strategic leads in Wales.

Results

Residents were aged 60–95, and prescribed 1–17 (median 9 [interquartile range (IQR) 7–13]) medicines. ADRe identified a median of 18 [IQR 11.5–23] problems per resident and nurses made 2 [1–2] changes to care per resident. For example: falls were reported for 9 residents, and care was modified for 5; pain was identified in 8 residents, and alleviated for 7; all 6 residents recognised as dyspnoeic were referred to prescribers. Nurses referred 17 of 30 residents to prescribers. Pharmacists recommended review for all 30. Doubts about administering ADRe, sometimes expressed by people who had not yet used it, diminished as it became familiar. ADRe was needed to bridge communication between resident, nurses and prescribers. When barriers of time, complacency, and doctors’ non-availability were overcome, reporting with ADRe made prescribers more likely to heed nurses’ concerns regarding residents’ welfare. Clinical gains were facilitated by one-to-one time, staff-resident relationships, and unification of documentation.

Implications

To our knowledge, ADRe is the only instrument that brings a full account of patients’ problems to medication reviews. This juxtaposition of signs and symptoms against prescriptions facilitates dose adjustments and de-prescribing and leads to: reduced pain and sedation; early identification of problems linked to ADRs, such as falls; and timely medication reviews e.g. for dyspnoea.

HLA-associated antiepileptic drug-induced cutaneous adverse reactions

Adverse drug reactions (ADRs) are a common cause of hospital admissions (up to 19%), with the majority of cases due to off-target predictable drug effects (type A reactions). However, idiosyncratic drug-induced immune activated (type B) reactions contribute to a range of hypersensitivity reactions, with T-cell-mediated type IV hypersensitivity reactions mainly manifesting as cutaneous ADRs (cADRs). Aromatic antiepileptic drugs (AEDs), used in the treatment of epilepsy as well as bipolar disorder or neuropathic pain, have been implicated as culprit drugs in a spectrum of pathologies ranging from mild maculopapular exanthema (MPE) to severe and life-threatening conditions including drug reaction with eosinophilia and systemic symptoms (DRESS), Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). These AED-induced cADRs are unpredictable based on pharmacological and clinical factors alone, thereby prompting investigations into genomic contributors mediating risk of pathology. The most strongly associated risk genes identified are from the human leukocyte antigen (HLA) class I alleles, which play a critical role in adaptive immunity by flagging either infected or aberrant cells for recognition by surveying T-cells. In the setting of drug hypersensitivity, the immunogenicity of HLA molecules and their peptide cargo can be modulated by interactions with small drug molecules that drive inappropriate T-cell responses. This review discusses the current understanding of HLA class I molecules in modifying risk of AED-induced cADRs.

Healthcare professionals' pharmacovigilance knowledge and adverse drug reaction reporting behavior and factors determining the reporting rates

Background: Spontaneous adverse drug reaction (ADR) reports prepared by healthcare professionals (HCPs) are the backbone of collecting post-marketing safety data. However, underreporting is a global problem creating health, economic, and ethical burden.

Objectives: To determine the factors limiting ADR reporting rates from the HCPs’ point of view.

Methods: A questionnaire containing 43 questions evaluating sociodemographic characteristics, pharmacovigilance knowledge and activities, and prescription behaviors was prepared on “surveymonkey.com.” The link was distributed mainly by professional organizations.

Results: Although this survey aimed to reach all HCPs, most of the respondents were physicians and nurses. Of the 259 (69.6%) participants who encountered ADR at least once, only 105 (40.5%) reported ADR. The term “pharmacovigilance” was heard for the first time in this survey by 35.5% (n = 132) of the participants. Only 34.7% (n = 129) of the participants knew where to find the ADR reporting form, and 25.5% (n = 95) had previously filled the form and/or read it. Only 28.5% (n = 106) of the participants were aware of the ADR reporting and monitoring system of their institutions and related professionals. Almost all the participants agreed that pharmacovigilance and ADR reporting training are necessary.

Conclusion: The main reason for underreporting is limited pharmacovigilance knowledge of HCPs. Training activities based on the needs and preferences of HCPs and close follow-up by authorities are the main steps to improve pharmacovigilance activities.

Detecting Adverse Drug Events: Accuracy and Generalizability

The incidence and impacts of adverse drug events (ADE) have been extensively studied, but there is an emerging focus on real-time detection systems. These can play an important role, along with systems pharmacology and population-level epidemiology, in a multipronged approach to prevent ADEs and mitigate their harm. Tailoring ADE detection systems to a particular health care setting or ADE type can improve predictive accuracy, but the added complexity reduces its wider applicability. As this approach becomes increasingly used we can imagine detection algorithms of greater complexity but also a set of algorithms encompassing the full range of health care settings and ADE types, thus creating a system that is both accurate and widely applicable.

Defining and classifying terminology for medication harm: a call for consensus

PURPOSE

The multiplicity in terms and definitions of medication-related harm has been a long-standing challenge for health researchers, clinicians, and regulatory bodies. The purpose of this narrative review was to report the diversity of terms; compare definitions, classifications, and models describing medication harm; and suggest which may be useful in both clinical practice and the research setting.

METHODS

A narrative review of key studies defining and/or classifying medication harm terminology was undertaken.

RESULTS

This review found that numerous terms are used to describe medication harm, and that there is a lack of consistency in current definitions, classifications, and applications. This lack of consistency applied across clinical jurisdictions and regulatory terminologies. A number of limitations in current definitions and classifications were identified. These included the exclusion of key types of medication harm events, ambiguous wording, and a lack of clarity and consensus on subclassifications. In general, there was some overlap in key models from the literature and these were presented to describe similarities and differences.

CONCLUSION

Without uniformity quantifying, comparing, combining, or extrapolating medication harm data, such as a rate of harm in a specific population, is a challenge for those involved in medication safety and pharmacovigilance. There is a pressing need for further discussion and international consensus on this topic. Adoption of standard descriptors by practitioner groups, regulatory and policy organisations would foster quality improvement and patient safety.

Adverse Drug Reactions, Power, Harm Reduction, Regulation and the ADRe Profiles

The power and influence of healthcare systems comes largely from the ability to prescribe efficacious medicine. However, medicine can sometimes cause harm rather than bring benefits. Systematically checking patients for the adverse effects of medicines, as listed in manufacturers' literature, would protect patients from iatrogenic harm, but this is rarely undertaken. We argue for the benefits of this approach using the example of the prescription of antipsychotics to older adults. Prescribing antipsychotics to control challenging behaviours associated with dementia is a controversial matter, and regulatory intervention is under discussion. Improved regulatory systems could protect against iatrogenic harm, such as over-sedation, falls, tremor, or drug-induced Parkinsonism. However, measuring the impact and outcomes of regulatory interventions has proved difficult, not least because there are rarely systematic records of all adverse effects of medicines. We indicate how regulatory initiatives to reduce antipsychotic prescribing can be supported by systematic monitoring and documentation of patients' signs and symptoms of putative adverse drug reactions. Monitoring documentation then provides the rationale and support for professionals' responses to identified problems. Longitudinal monitoring records would improve understanding of the impact and outcomes of adverse drug reactions (ADRs) on health and wellbeing, and the many costs of ADRs.

The impact of serious adverse drug reactions: a population-based study of a decade of hospital admissions in New South Wales, Australia

AIMS

Adverse drug reactions (ADRs) have major impacts on patients and the hospital system. Methods identifying ADRs from selected International Classification of Diseases-10th revision (ICD-10) diagnosis and external cause codes can be applied to population-level hospital admissions data, enabling the study of rare, yet serious ADRs. The present study aimed to use ICD10-based methods to identify four types of serious idiosyncratic ADRs in Australia, and to assess changes in incidence and their impact on length of stay (LOS), readmission and in-hospital mortality.

METHODS

The study used a census of hospital admission data from New South Wales between July 2000 and June 2012. Changes in incidence rates over time relative to a control group were estimated using log-linear regression. To assess impacts on LOS, readmission and mortality, each ADR case was matched with five controls, and cases were compared with controls via generalized linear models appropriate to each outcome.

RESULTS

The incidence of three ADR types showed a significant increase over time relative to controls, while the fourth type showed no evidence of change. All ADR types were significantly associated with an increase in LOS of between 22% and 328%. Significant increases in risk of readmission or death were only observed for some ADR types.

CONCLUSIONS

Reducing the incidence of idiosyncratic ADRs is challenging. ICD10-based methods support population-level analyses that can provide important insights into the effects and changes in ADRs over time. This, combined with strategies related to both patient care and drug monitoring pre- and post-commercial release, provides ways forward.