Subtopic Deep Dive

← Pharmacovigilance and Adverse Drug Reactions

Drug Safety Surveillance in Hospital Settings
Research Guide

What is Drug Safety Surveillance in Hospital Settings?

Drug Safety Surveillance in Hospital Settings monitors adverse drug reactions (ADRs) causing hospital admissions or occurring during inpatient stays using prospective cohort studies and electronic health records.

Researchers quantify ADR incidence, preventability, and outcomes in high-risk populations like the elderly. Prospective studies in hospitals report ADR admission rates of 6.5% (Pirmohamed et al., 2004, 3166 citations) and inpatient ADR rates up to 14.9% (Davies et al., 2009, 686 citations). Computerized surveillance systems detect adverse drug events (ADEs) more effectively than voluntary reporting (Classen et al., 1991, 638 citations).

Curated Papers

Key Challenges

Why It Matters

Hospital surveillance identifies ADRs as a leading cause of admissions, with 6.5% of cases ADR-related, informing policies to reduce healthcare costs (Pirmohamed et al., 2004). STOPP criteria highlight inappropriate medications in older patients linked to avoidable ADEs and hospitalizations (Hamilton et al., 2011). Computerized systems enable real-time detection, reducing ADE rates by improving monitoring (Classen et al., 1991). These insights guide interventions like medication reconciliation to prevent errors at admission (Tam et al., 2005).

Key Research Challenges

Under-detection of ADRs

Manual reporting misses many ADRs, with prospective studies needed for accurate incidence. Computerized surveillance improves detection but requires validation (Classen et al., 1991). Inpatient ADRs often go unrecognized post-admission (Davies et al., 2009).

Medication history errors

Errors at admission are common and lead to preventable ADRs. Systematic reviews show high frequency and clinical importance (Tam et al., 2005). Pharmacist involvement reduces these risks.

High-risk elderly populations

Elderly patients face higher ADR rates due to polypharmacy and inappropriate prescribing. STOPP criteria identify PIMs associated with ADEs causing hospitalization (Hamilton et al., 2011). Age-related correlations persist across studies (Routledge et al., 2003).

Essential Papers

Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients

Munir Pirmohamed, Sally James, Shaun Meakin et al. · 2004 · BMJ · 3.2K citations

Abstract Objective To ascertain the current burden of adverse drug reactions (ADRs) through a prospective analysis of all admissions to hospital. Design Prospective observational study. Setting Two...

Frequency, type and clinical importance of medication history errors at admission to hospital: a systematic review

Vincent C. Tam · 2005 · Canadian Medical Association Journal · 809 citations

Medication history errors at the time of hospital admission are common and potentially clinically important. Improved physician training, accessible community pharmacy databases and closer teamwork...

Adverse Drug Reactions in Hospital In-Patients: A Prospective Analysis of 3695 Patient-Episodes

Emma Davies, Christopher F. Green, Stephen Taylor et al. · 2009 · PLoS ONE · 686 citations

Adverse drug reactions (ADRs) are a major cause of hospital admissions, but recent data on the incidence and clinical characteristics of ADRs which occur following hospital admission, are lacking. ...

Computerized Surveillance of Adverse Drug Events in Hospital Patients

David C. Classen · 1991 · JAMA · 638 citations

<h3>Objective.</h3> —To develop a new method to improve the detection and characterization of adverse drug events (ADEs) in hospital patients. <h3>Design.</h3> —Prospective study of all patients ad...

The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE)

Sinéad Langan, Sigrún Alba Jóhannesdóttir Schmidt, Kevin Wing et al. · 2018 · BMJ · 576 citations

In pharmacoepidemiology, routinely collected data from electronic health records (including primary care databases, registries, and administrative healthcare claims) are a resource for research eva...

Potentially Inappropriate Medications Defined by STOPP Criteria and the Risk of Adverse Drug Events in Older Hospitalized Patients

H. Hamilton, Paul Gallagher, Cristín Ryan et al. · 2011 · Archives of Internal Medicine · 564 citations

STOPP criteria PIMs, unlike Beers criteria PIMs, are significantly associated with avoidable ADEs in older people that cause or contribute to urgent hospitalization.

Drug-Related Hospital Admissions

Thomas R. Einarson · 1993 · Annals of Pharmacotherapy · 513 citations

OBJECTIVE: To review and summarize studies reporting rates of drug-related hospital admissions. DATA SOURCES: Manual and computerized literature searches using MEDLINE, Index Medicus, and Internati...

Reading Guide

Foundational Papers

Start with Pirmohamed et al. (2004) for ADR admission burden (3166 citations), then Classen et al. (1991) for computerized detection methods, followed by Davies et al. (2009) for inpatient incidence.

Recent Advances

Study Hamilton et al. (2011) on STOPP criteria in elderly; Langan et al. (2018) on RECORD-PE for EHR studies; Gallagher et al. (2007) on inappropriate prescribing.

Core Methods

Prospective cohort analysis (Pirmohamed 2004); computerized screening (Classen 1991); STOPP criteria for PIMs (Hamilton 2011); medication reconciliation (Tam 2005).

How PapersFlow Helps You Research Drug Safety Surveillance in Hospital Settings

Discover & Search

Research Agent uses searchPapers and citationGraph to explore Pirmohamed et al. (2004) as the foundational ADR admission study, revealing 3166 citations and connected works like Davies et al. (2009). exaSearch finds hospital-specific surveillance papers, while findSimilarPapers identifies related inpatient ADR analyses from 250M+ OpenAlex papers.

Analyze & Verify

Analysis Agent applies readPaperContent to extract ADR incidence rates from Classen et al. (1991), then verifyResponse with CoVe checks claims against raw text. runPythonAnalysis computes meta-statistics on admission rates across Pirmohamed (2004) and Davies (2009) datasets; GRADE grading assesses evidence quality for prospective cohorts.

Synthesize & Write

Synthesis Agent detects gaps in post-discharge ADR surveillance beyond Forster et al. (2005) and flags contradictions in elderly ADR rates. Writing Agent uses latexEditText for methods sections, latexSyncCitations for 10+ papers, and latexCompile for reports; exportMermaid visualizes ADR causality workflows.

Use Cases

"Analyze ADR admission rates from prospective hospital studies and plot incidence trends."

Research Agent → searchPapers('prospective ADR hospital admissions') → Analysis Agent → runPythonAnalysis(pandas meta-analysis on Pirmohamed 2004 + Davies 2009 rates) → matplotlib trend plot output.

"What is the ADR burden in elderly inpatients per STOPP criteria?"

Research Agent → citationGraph(Hamilton 2011) → Synthesis Agent → gap detection → Writing Agent → latexEditText(draft) → latexSyncCitations(10 papers) → latexCompile(PDF report with tables).

"Find code for computerized ADR surveillance systems from papers."

Research Agent → paperExtractUrls(Classen 1991) → Code Discovery → paperFindGithubRepo → githubRepoInspect → verified surveillance algorithm code snippets.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ hospital ADR papers starting with Pirmohamed (2004), generating structured incidence report with GRADE scores. DeepScan applies 7-step analysis to Classen (1991) for ADE detection methods, with CoVe checkpoints verifying computerized surveillance claims. Theorizer builds intervention models from Tam (2005) errors and Hamilton (2011) STOPP data.

Try Doxa for Drug Safety Surveillance in Hospital Settings Research

Frequently Asked Questions

What is Drug Safety Surveillance in Hospital Settings?

It monitors ADRs causing admissions or occurring inpatient using prospective cohorts and EHRs, quantifying burden like 6.5% admission rate (Pirmohamed et al., 2004).

What methods detect hospital ADRs?

Prospective observational studies assess admissions (Pirmohamed et al., 2004); computerized screening signals outperform charts (Classen et al., 1991).

What are key papers?

Pirmohamed et al. (2004, 3166 citations) on admissions; Davies et al. (2009, 686 citations) on inpatients; Classen et al. (1991, 638 citations) on computerized surveillance.

What open problems exist?

Under-detection persists despite tools; post-discharge ADRs need surveillance (Forster et al., 2005); validating EHR algorithms for real-time use remains challenging (RECORD-PE, Langan et al., 2018).