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Active ADR Monitoring in General Medicine Wards: Causality, Severity and Preventability Assessment with PvPI Reporting

  • 12 slides
  • 15 viva questions
  • 3 modules
  • No code needed

@adr-monitoring-causality-medicine-wardsUpdated Oct 2026

Six months on the wards, four validated scales, every suspected ADR reported to PvPI

Pharm.D, Clinical Pharmacy · Year 5 · Advanced · 26 weeks · Team of 3

More info
Level
Advanced · 26 weeks · Team of 3
Relevant for
All India
Common at
PCI (Pharm.D Regulations 2008), RGUHS, KUHS
Syllabus
PCI Pharm.D 2008 · Project Work (6 months, 20 h/week) · Year 5
Tech stack
  • CDSCO suspected ADR reporting form (PvPI)
  • Naranjo ADR probability scale
  • WHO-UMC causality categories
  • Modified Hartwig & Siegel severity scale
  • Modified Schumock–Thornton preventability criteria
  • WHO ATC classification
  • SPSS / Excel
  • Micromedex / Lexicomp
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  1. Pinned

    1 min

    Overview

    This project is a six-month prospective observational study of adverse drug reactions (ADRs) in the General Medicine wards of a 750-bed tertiary-care teaching hospital. Pharm.D students attend daily ward rounds as part of their clerkship, which puts them in the best position to pick up ADRs that busy clinicians often notice but never document or report.

    The team screens every in-patient admitted to the study units using an active surveillance approach: case-sheet review, nursing notes, laboratory trends and direct patient interviews. Each suspected ADR is documented on the CDSCO Suspected Adverse Drug Reaction Reporting Form, forwarded through the hospital's ADR Monitoring Centre (AMC) under the Pharmacovigilance Programme of India (PvPI), and then assessed with four validated tools: the Naranjo algorithm and WHO-UMC system for causality, the modified Hartwig & Siegel scale for severity and the modified Schumock–Thornton criteria for preventability. Suspected drugs are coded with the WHO ATC classification and reactions are grouped by organ system.

    The outcome is a clear picture of incidence, pattern and preventability of ADRs in medicine wards, the drug classes most often responsible, and the patient factors (age, polypharmacy, renal function, comorbidity) associated with ADRs, analysed with chi-square and logistic regression in SPSS. The study fits the PCI Pharm.D Year V Project Work slot (six months, 20 hours per week) and produces a 40–50-page report defended in a 30-mark oral examination.

    Syllabus alignment

    PCI · Pharm.D 2008

    Project Work (6 months, 20 h/week) · Year 5 · 100 = thesis 70 + oral 30

    Subjects this project applies
    • Clinical Research (Year V)
    • Pharmacoepidemiology and Pharmacoeconomics (Year V)
    • Clinical Pharmacokinetics and Pharmacotherapeutic Drug Monitoring (Year V)
    • Clerkship — ward rounds (Year V)
    • Pharmacotherapeutics I–III (Years II–IV)
    How it is evaluated

    See your department's project guidelines.

    1 min read · 15 viva questions

  2. 2 min

    Synopsis

    Abstract

    A prospective observational study will be conducted over six months in the General Medicine wards of a tertiary-care teaching hospital to determine the incidence, pattern, causality, severity and preventability of ADRs. Suspected reactions will be identified by active surveillance, reported to PvPI through the hospital AMC, and assessed with the Naranjo scale, WHO-UMC criteria, modified Hartwig & Siegel scale and modified Schumock–Thornton criteria. Risk factors will be analysed by chi-square test and binary logistic regression.

    Introduction

    An adverse drug reaction is a response to a drug that is noxious and unintended and occurs at doses normally used in humans for prophylaxis, diagnosis or therapy. ADRs prolong hospital stay, increase cost and erode patient trust. India's PvPI, coordinated by the Indian Pharmacopoeia Commission as the National Coordination Centre, depends on AMCs in teaching hospitals, yet spontaneous reporting in India remains low and under-reporting is the rule rather than the exception.

    Review and gap

    Published Indian studies report ADR incidence in medicine wards ranging widely because of differing definitions and surveillance intensity. Many rely on spontaneous reports only, assess causality with a single scale, or omit preventability. Few student studies report agreement between Naranjo and WHO-UMC or link ADRs to modifiable risk factors such as polypharmacy.

    Proposed work

    • Active, daily surveillance by trained Pharm.D students under a clinical pharmacist preceptor.
    • Dual causality assessment with Cohen's kappa for agreement.
    • Severity and preventability grading for every confirmed ADR.
    • Risk-factor analysis to identify patients who need closer monitoring.

    Feasibility

    • Setting: the hospital already hosts a PvPI AMC and a Department of Pharmacy Practice.
    • Time: six months of data collection at 20 hours per week fits the PCI project allocation.
    • Cost: scales and reporting forms are free; SPSS is available in the college computer lab.
    • Ethics: Institutional Ethics Committee approval and written informed consent are obtained before enrolment.
  3. 1 min

    Problem statement

    Adverse drug reactions are a leading cause of preventable harm in hospitalised patients, particularly older adults with multiple comorbidities receiving many drugs. In Indian teaching hospitals, suspected ADRs are frequently managed at the bedside — the drug is stopped or an antidote is given — but the event is not documented as an ADR, not assessed for causality and not reported to PvPI. As a result, the hospital has no data on which drugs and patients are at highest risk, and national signal detection is weakened.

    There is a need for a systematic, prospective ADR monitoring study in medicine wards that measures incidence, characterises reactions by organ system and drug class using ATC codes, assesses causality, severity and preventability with validated scales, identifies risk factors, and demonstrates how a clinical pharmacist-led surveillance model can increase reporting to PvPI.

  4. 1 min

    Objectives & scope

    1. 01Determine the incidence of ADRs among in-patients of General Medicine wards over six months by active surveillance.
    2. 02Characterise ADRs by organ system, onset, suspected drug and WHO ATC class.
    3. 03Assess causality with the Naranjo algorithm and WHO-UMC system and measure agreement between them with Cohen's kappa.
    4. 04Grade severity with the modified Hartwig & Siegel scale and preventability with the modified Schumock–Thornton criteria.
    5. 05Identify patient-related risk factors (age, gender, number of drugs, comorbidities, renal function) associated with ADRs.
    6. 06Report every suspected ADR to PvPI through the hospital ADR Monitoring Centre and document the management and outcome of each reaction.

    Scope

    In scope

    • All in-patients aged ≥ 18 years admitted to General Medicine units during the study period who give consent.
    • ADRs occurring during admission and ADRs that caused the admission.
    • Causality, severity and preventability assessment; ATC coding; outcome documentation; PvPI reporting.
    • Risk-factor analysis with descriptive and inferential statistics.

    Out of scope

    • Medication errors without harm, therapeutic failure and intentional overdose (recorded separately but not analysed as ADRs).
    • Paediatric, obstetric and ICU patients.
    • Rechallenge of any drug for the purpose of the study — rechallenge information is used only when it occurred clinically.
    • Cost-of-ADR analysis (listed as future scope).
  5. 2 min

    Methodology

    Study design: prospective, observational, active-surveillance study.

    Setting and duration: General Medicine wards (four units) of a 750-bed tertiary-care teaching hospital with a PvPI ADR Monitoring Centre; six months of data collection within the Year V project period.

    Sample size: all eligible admissions during the period (census sampling). Assuming an ADR incidence of 10% from Indian ward studies, absolute precision of 3% and 95% confidence, n = Z²pq/d² = (1.96² × 0.10 × 0.90)/0.03² ≈ 384 patients; the wards admit about 150 patients a month, so six months comfortably exceeds this.

    Inclusion criteria: in-patients aged ≥ 18 years of either gender, admitted for ≥ 24 hours, receiving at least one drug, and giving written informed consent (or consent from a legally acceptable representative).

    Exclusion criteria: patients admitted with intentional poisoning or overdose, pregnant women, and patients transferred to ICU within 24 hours of admission.

    Instruments: specially designed patient-profile form, CDSCO Suspected ADR Reporting Form, Naranjo scale (definite ≥ 9, probable 5–8, possible 1–4, doubtful ≤ 0), WHO-UMC causality categories, modified Hartwig & Siegel severity scale (levels 1–7: mild, moderate, severe), modified Schumock–Thornton criteria (definitely, probably, not preventable), WHO ATC index, Micromedex/Lexicomp for known reaction profiles.

    Ethics: approval from the Institutional Ethics Committee registered with CDSCO, conducted as per the ICMR National Ethical Guidelines (2017); written informed consent in English, Kannada or the patient's language; confidentiality protected by study codes — no names, hospital numbers or identity documents are entered in the analysis sheet.

    Statistical analysis: SPSS. Descriptive statistics (frequency, percentage, mean ± SD); incidence with 95% CI; chi-square/Fisher's exact test for associations; binary logistic regression for independent risk factors (odds ratio, 95% CI); Cohen's kappa for Naranjo vs WHO-UMC agreement; p < 0.05 significant.

    MonthActivity
    0Protocol, IEC submission, seminar 1
    1–5Daily surveillance, assessment, PvPI reporting; seminar 2 at month 3
    6Analysis, report writing, seminar 3 and submission
  6. 1 min

    Architecture & tech stack

    • CDSCO suspected ADR reporting form (PvPI)
    • Naranjo ADR probability scale
    • WHO-UMC causality categories
    • Modified Hartwig & Siegel severity scale
    • Modified Schumock–Thornton preventability criteria
    • WHO ATC classification
    • SPSS / Excel
    • Micromedex / Lexicomp

    The study follows a screen → confirm → assess → report pipeline. Every consenting patient is followed daily from admission to discharge. A suspected ADR triggers a structured assessment by the team, which is then validated by the preceptor before it enters the dataset and is forwarded to PvPI.

    flowchart TD
      A[IEC approval and protocol registration] --> B[Daily admissions to General Medicine units]
      B --> C{Inclusion criteria met and consent given?}
      C -->|No| Z[Not enrolled]
      C -->|Yes| D[Patient-profile form: demographics, diagnosis, drugs]
      D --> E[Daily follow-up: case sheet, labs, nursing notes, interview]
      E --> F{Suspected ADR?}
      F -->|No| G[Follow up to discharge]
      F -->|Yes| H[Document on CDSCO ADR reporting form]
      H --> I[Causality: Naranjo and WHO-UMC]
      I --> J[Severity: modified Hartwig and Siegel]
      J --> K[Preventability: modified Schumock-Thornton]
      K --> L[Preceptor validation]
      L --> M[Report to PvPI via hospital AMC]
      L --> N[SPSS dataset: ATC code, organ system, outcome]
      G --> N
      N --> O[Incidence, chi-square, logistic regression, kappa]

    Data structure

    Each enrolled patient is one record with a study code; each ADR is a linked record holding the suspected drug (generic name and ATC code), reaction term, onset, dechallenge/rechallenge result, the four scale grades, management, outcome and PvPI submission date. Keeping ADRs as separate records lets one patient contribute more than one reaction without double-counting patients in the incidence denominator.

  7. 3 modules

    Modules

    • Member 1 — Screening, enrolment and patient profiling

      Attends daily rounds in two units, applies inclusion and exclusion criteria, takes informed consent, fills the patient-profile form and maintains the enrolment log that forms the incidence denominator.

    • Member 2 — ADR detection, documentation and PvPI reporting

      Reviews case sheets, laboratory trends and nursing notes for triggers such as antidote use or abrupt drug stoppage, documents suspected ADRs on the CDSCO form, and tracks submission of each report through the hospital AMC.

    • Member 3 — Causality, severity, preventability and statistics

      Applies Naranjo, WHO-UMC, Hartwig & Siegel and Schumock–Thornton assessments, codes drugs with ATC, computes Cohen's kappa and runs the chi-square and logistic-regression analyses in SPSS.

  8. Locked

    Presentation

    12 slides with speaker notes. The outline below is free; the bullets, notes and the generated .pptx unlock with the project.

    1. Active ADR Monitoring in General Medicine Wards
    2. Background
    3. Pharmacovigilance Programme of India
    4. Aim and Objectives
    5. Methodology
    6. Assessment Scales
    7. Study Flow
    8. Results — Incidence and Demographics
    9. Results — Pattern and Drugs
    10. Results — Causality, Severity, Preventability
    11. Discussion and Conclusion
    12. Recommendations and References

    Bullets, speaker notes and the .pptx download unlock with the project.

    Presentation is locked: 12 slides, Speaker notes, .pptx download.

  9. Locked

    How to run

    A research, analysis or design project, so there's no code bundle: 10 steps to carry it out with CDSCO suspected ADR reporting form (PvPI), Naranjo ADR probability scale and WHO-UMC causality categories.

    The good part is behind this lock. Like every good viva answer.

    How to run is locked: 10 steps.

  10. 1 min

    Future scope

    • Cost-of-ADR analysis: direct medical costs of managing ADRs and extra bed-days.
    • Trigger-tool methodology (for example, the IHI Global Trigger Tool approach) to compare detection rates with active interviewing.
    • Multi-centre extension across hospitals in the regional PvPI network.
    • Educational intervention for residents and nurses, with before–after comparison of spontaneous reporting rates.
    • Pharmacogenomic sub-study for severe cutaneous reactions to carbamazepine or allopurinol, with separate IEC approval.
  11. 9 sources

    References

    1. Pharmacy Council of India — Pharm.D Regulations 2008
    2. Central Drugs Standard Control Organisation (CDSCO) — Suspected Adverse Drug Reaction Reporting Form and pharmacovigilance resources
    3. Indian Pharmacopoeia Commission — Pharmacovigilance Programme of India (PvPI)
    4. Naranjo CA, Busto U, Sellers EM, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther. 1981;30(2):239–245.
    5. Hartwig SC, Siegel J, Schneider PJ. Preventability and severity assessment in reporting adverse drug reactions. Am J Hosp Pharm. 1992;49(9):2229–2232.
    6. Schumock GT, Thornton JP. Focusing on the preventability of adverse drug reactions. Hosp Pharm. 1992;27:538.
    7. Uppsala Monitoring Centre — The use of the WHO-UMC system for standardised case causality assessment
    8. WHO Collaborating Centre for Drug Statistics Methodology — ATC/DDD Index
    9. Indian Council of Medical Research. National Ethical Guidelines for Biomedical and Health Research Involving Human Participants. 2017.

    Cite this bundle

    OnlyProjects. (2026). Active ADR Monitoring in General Medicine Wards: Causality, Severity and Preventability Assessment with PvPI Reporting: Pharm.D Clinical Pharmacy project bundle [Educational resource]. https://onlyprojects.online/projects/pharmd-clinical-adr-monitoring-causality-medicine-wards

Slides, diagrams & files

12 slides. Titles are free; bullets, speaker notes and the .pptx unlock with the project.

  1. SLIDE 1

    Active ADR Monitoring in General Medicine Wards

  2. SLIDE 2

    Background

  3. SLIDE 3

    Pharmacovigilance Programme of India

  4. SLIDE 4

    Aim and Objectives

  5. SLIDE 5

    Methodology

  6. SLIDE 6

    Assessment Scales

  7. SLIDE 7

    Study Flow

  8. SLIDE 8

    Results — Incidence and Demographics

  9. SLIDE 9

    Results — Pattern and Drugs

  10. SLIDE 10

    Results — Causality, Severity, Preventability

  11. SLIDE 11

    Discussion and Conclusion

  12. SLIDE 12

    Recommendations and References

Architecture diagram

1
flowchart TD
  A[IEC approval and protocol registration] --> B[Daily admissions to General Medicine units]
  B --> C{Inclusion criteria met and consent given?}
  C -->|No| Z[Not enrolled]
  C -->|Yes| D[Patient-profile form: demographics, diagnosis, drugs]
  D --> E[Daily follow-up: case sheet, labs, nursing notes, interview]
  E --> F{Suspected ADR?}
  F -->|No| G[Follow up to discharge]
  F -->|Yes| H[Document on CDSCO ADR reporting form]
  H --> I[Causality: Naranjo and WHO-UMC]
  I --> J[Severity: modified Hartwig and Siegel]
  J --> K[Preventability: modified Schumock-Thornton]
  K --> L[Preceptor validation]
  L --> M[Report to PvPI via hospital AMC]
  L --> N[SPSS dataset: ATC code, organ system, outcome]
  G --> N
  N --> O[Incidence, chi-square, logistic regression, kappa]

Files

Viva questions & answers

3 of 15 questions free. Explain each answer in your own words before you move on.

  1. Concept

    Define an adverse drug reaction and distinguish it from an adverse event.

    WHO defines an ADR as a response to a drug that is noxious and unintended and occurs at doses normally used in humans. An adverse event is any untoward medical occurrence during treatment that need not have a causal relationship with the drug. Every ADR is an adverse event, but causality must be assessed before an adverse event is called an ADR.

  2. Concept

    Explain the structure of the Pharmacovigilance Programme of India.

    PvPI is run by the Indian Pharmacopoeia Commission as the National Coordination Centre under the Ministry of Health. ADR Monitoring Centres in medical colleges and hospitals collect reports, assess them and enter them in VigiFlow, and the data is shared with the WHO Uppsala Monitoring Centre for global signal detection. CDSCO acts on signals through label changes or regulatory action.

  3. Concept

    What is the difference between Type A and Type B reactions?

    Type A reactions are augmented, dose-related and predictable from the drug's pharmacology, such as hypoglycaemia with insulin; they are common and usually less severe. Type B reactions are bizarre, not dose-related and unpredictable, such as anaphylaxis or Stevens–Johnson syndrome; they are rare but often severe.

+12 more questions

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