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Patient Enablement Instrument

The Patient Enablement Instrument (PEI) is a brief, validated six-item questionnaire that measures the degree to which a clinical consultation leaves the patient feeling more capable of understanding and managing their health condition. Developed by Howie and colleagues in 1998, the PEI assesses whether the consultatio

2 zdrojů1998

health informatics

Patient Engagement Scale

The Patient Engagement Scale measures the degree to which patients take active responsibility for managing their health and healthcare. Developed by Hibbard and colleagues (2004), the Patient Activation Measure (PAM) operationalizes engagement as a progression from awareness of health issues through confident self-mana

1 zdroj2004

Patient Flow Simulation

Discrete Event Simulation (DES) is a computational technique that models the movement of patients through healthcare facilities by simulating individual patient journeys and interactions with resources (staff, beds, equipment). DES allows realistic representation of complex, stochastic healthcare processes and supports

3 zdrojů1990

health services

Patient Health Questionnaire-2

The Patient Health Questionnaire-2 (PHQ-2) is an ultra-brief, validated two-item screening instrument developed by Kroenke and colleagues in 2003 to identify major depression in primary care and medical populations. The PHQ-2 assesses the two cardinal symptoms of depression (depressed mood and anhedonia) over the past

3 zdrojů2003

Patient Reported Experience Measure Framework

The Patient Reported Experience Measure (PREM) framework is a methodological approach for systematically collecting, analyzing, and acting on patient feedback about healthcare experiences. Unlike HCAHPS, which is a specific, standardized survey, PREM is a flexible framework that can be adapted to different care setting

3 zdrojů2015

Patient Safety Climate in Healthcare Organizations

The Patient Safety Climate Scale (PSCS) is a focused, brief assessment tool designed to measure staff perceptions of the safety climate within a specific healthcare unit or department. Unlike broader safety culture instruments, the PSCS concentrates on the immediate work environment—how safety is prioritized at the tea

3 zdrojů2005

health services

Patient Satisfaction Questionnaire

The Patient Satisfaction Questionnaire (PSQ) is a psychometrically validated self-report instrument developed by Ware and colleagues beginning in 1983 to measure patient satisfaction with medical care. The PSQ-18, a shortened version, comprises 18 items assessing general dimensions of healthcare satisfaction including

3 zdrojů1983

health outcomes

PDQ-39

The PDQ-39 is the most widely used patient-reported outcome measure for Parkinson's disease quality of life. Developed by Crispin Jenkinson and colleagues in 1997, this 39-item self-report questionnaire comprehensively assesses how Parkinson's symptoms affect daily functioning, emotional well-being, stigma, social supp

3 zdrojů1997

Person-Centred Care Assessment Tool

The Person-Centred Care Assessment Tool (PCAT) is an observational and staff-report instrument designed to evaluate the degree to which healthcare services and interactions embody person-centered care principles. Developed by Brendan McCormack and David Edvardsson, the PCAT assesses key dimensions of person-centered pr

2 zdrojů2010

medical imaging

PET Kinetic Modeling

PET kinetic modeling is a quantitative analysis technique that tracks the temporal behavior of radioactive tracers in tissue to extract physiological parameters such as blood flow, metabolic rate, and receptor density. Established by Patlak, Logan, and Gunn in the 1980s and 1990s, kinetic modeling transforms raw PET ti

3 zdrojů1983

pharmacometrics

Pharmacokinetic Compartment Model

The pharmacokinetic compartment model represents the body as one or more hypothetical compartments interconnected by first-order rate processes, describing how a drug is absorbed, distributed, and eliminated over time. Systematized by Gibaldi and Perrier in 1982, these models use ordinary differential equations to char

1 zdroj1982

pharmacology

Pharmacovigilance PRR/ROR

Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR) are statistical methods for detecting safety signals in spontaneous adverse event reporting databases. Developed and formalized by researchers in the early 2000s, these measures identify drug-adverse event associations that warrant further investigation.

2 zdrojů2002

Phase I Clinical Trial

A Phase I clinical trial is the first stage of human testing for a new drug, biologic, or intervention. Its primary objective is to evaluate safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) rather than therapeutic efficacy. Small cohorts of participants — typically healthy volunteers or patients w

2 zdrojů1960

Phase II clinical trial

A Phase II clinical trial is the second stage in the drug or intervention development pipeline, conducted after Phase I safety testing. Its primary goal is to assess whether the intervention shows preliminary efficacy signals in a relevant patient population at the dose established in Phase I, while continuing to chara

2 zdrojů1960

Phase III clinical trial

A Phase III clinical trial is a large-scale, confirmatory randomised controlled trial designed to establish the efficacy and safety of an intervention in the target patient population before regulatory submission. It builds on the signal identified in Phase II, tests the intervention at its proposed dose under controll

2 zdrojů1962

Phase IV study

A Phase IV study is a post-marketing surveillance study conducted after a drug, device, or intervention has received regulatory approval. Its primary purpose is to monitor long-term safety, detect rare adverse events, assess effectiveness in routine clinical practice, and explore new indications or populations not adeq

2 zdrojů1970

health behavior

Physical Activity Enjoyment Scale

The Physical Activity Enjoyment Scale (PACES), developed by Kendzierski and DeCarlo (1991), is a 16-item measure of the positive affective responses and enjoyment experienced during or after physical activity. Based on the premise that enjoyment is a powerful predictor of exercise adherence and intrinsic motivation, PA

1 zdroj1991

Picker Patient Experience Questionnaire

The Picker Patient Experience Questionnaire is a comprehensive, validated instrument developed by the Picker Institute to measure the quality of the patient experience across multiple dimensions of healthcare delivery. Administered post-discharge or post-encounter, it assesses ten domains of patient-centered care: resp

2 zdrojů2002

health education

PIS

The PIS is a self-report questionnaire measuring healthcare students' sense of professional identity, belonging, and commitment to their chosen discipline. Developed by Adams and colleagues in 2006, the PIS assesses the degree to which students have internalized professional roles, values, behaviors, and career commitm

2 zdrojů2006

health services

Pittsburgh Sleep Quality Index

The Pittsburgh Sleep Quality Index (PSQI) is a comprehensive self-report questionnaire developed by Buysse and colleagues in 1989 to assess sleep quality and sleep disturbances. The PSQI comprises 19 items aggregated into seven components that evaluate sleep duration, sleep efficiency, sleep disturbances, daytime dysfu

3 zdrojů1989

Placebo Tests

Placebo tests are a family of falsification checks that probe the credibility of a causal claim by re-running the analysis on a fake treatment, a false intervention date, or an outcome that should not have been affected. The approach was popularised through the synthetic control work of Abadie, Diamond and Hainmueller

2 zdrojů2010

agronomy

Plant Disease SEIR Model

The Plant Disease SEIR Model is a deterministic compartmental modelling framework adapted from human epidemiology to describe how a pathogen spreads through a host plant population. Rooted in the foundational work of J. E. Van der Plank and the Kermack-McKendrick tradition, it partitions all plants into four states — S

2 zdrojů1963

Policy Evaluation Coarsened Exact Matching

Coarsened Exact Matching (CEM) is a quasi-experimental causal-inference technique that creates balanced treatment and control groups from observational data by temporarily coarsening covariates into bins, exactly matching units within those bins, and then pruning unmatched observations before estimating policy effects.

2 zdrojů2011

Policy Evaluation Counterfactual Impact Evaluation

Counterfactual Impact Evaluation (CIE) for policy assessment estimates the causal effect of a public policy or programme by comparing observed outcomes of participants against a rigorously constructed counterfactual — what would have happened had the policy not existed. Rooted in the Rubin potential-outcomes framework,

2 zdrojů1974

Policy Evaluation Difference-in-Differences

Policy Evaluation DiD applies the difference-in-differences estimator specifically to assess the causal impact of government programs, regulations, or policy reforms. It compares outcome changes in a group exposed to the policy against a comparable untreated group, before and after the policy took effect, isolating the

2 zdrojů1978

Policy Evaluation Doubly Robust Estimation

Policy Evaluation Doubly Robust Estimation applies the doubly robust (DR) estimator to assess the causal effect of a public policy or programme. It combines a model of treatment assignment (propensity score) with a model of the outcome, and requires only one of the two models to be correctly specified to produce a cons

2 zdrojů1994

Policy Evaluation Entropy Balancing

Entropy balancing is a maximum-entropy reweighting method that assigns weights to control-group units so that their weighted covariate moments exactly match those of the treated group. Introduced by Hainmueller (2012), it provides exact balance on specified moments without iterative propensity-score trimming, making it

2 zdrojů2012

Policy Evaluation Event Study Design

A policy evaluation event study design is a quasi-experimental approach that estimates causal effects of a policy by plotting treatment-period-by-period coefficients around a common event time. It extends difference-in-differences to visualize both pre-treatment parallel trends and the dynamic post-treatment evolution

2 zdrojů1993

Policy Evaluation Fuzzy Regression Discontinuity

Fuzzy Regression Discontinuity Design (Fuzzy RDD) estimates the causal effect of a policy when eligibility is determined by crossing a threshold on a continuous score, but actual take-up or compliance is imperfect. Developed formally by Hahn, Todd, and Van der Klaauw (2001), it uses the threshold as an instrumental var

2 zdrojů2001

Policy Evaluation Instrumental Variables

Instrumental Variables (IV) estimation for policy evaluation is a quasi-experimental technique that uses an exogenous instrument — a variable that shifts exposure to a policy but is otherwise unrelated to the outcome — to recover the causal effect of a program or intervention from non-experimental data. Popularised in

2 zdrojů1996

Policy Evaluation Interrupted Time Series

Interrupted Time Series (ITS) for policy evaluation uses routinely collected aggregate time-series data to estimate the causal impact of a policy change. A segmented regression model splits the series at a known intervention date, estimating both an immediate level shift and a change in trend attributable to the policy

2 zdrojů1975

Policy Evaluation Inverse Probability Weighting

Policy evaluation inverse probability weighting (IPW) uses estimated propensity scores to reweight observed units so that the weighted sample mimics a randomised experiment. Each unit is weighted by the inverse of its probability of receiving the policy, creating a pseudo-population in which treatment assignment is ind

2 zdrojů1952

Policy Evaluation Marginal Structural Model

A Policy Evaluation Marginal Structural Model (MSM) is a causal inference framework that estimates the population-average effect of a policy by using inverse probability weighting to create a pseudo-population in which treatment assignment is independent of measured confounders, enabling unbiased comparison of potentia

2 zdrojů2000

Policy Evaluation Matching Estimator

The policy evaluation matching estimator estimates the causal effect of a program or policy on treated units by pairing each participant with one or more non-participants who share similar pre-treatment characteristics. Developed rigorously by Heckman, Ichimura & Todd (1998) and Abadie & Imbens (2006), it avoids parame

2 zdrojů1998

Policy Evaluation Panel Event Study

A panel event study is a quasi-experimental design that traces how an outcome evolves in periods before and after a policy event, using unit and time fixed effects to identify the causal effect. Widely used in economics and policy research, it tests for anticipation effects, verifies parallel pre-trends, and estimates

2 zdrojů2021

Policy Evaluation Propensity Score Matching

Policy evaluation propensity score matching applies the propensity score framework — originally developed by Rosenbaum and Rubin (1983) and operationalized for program evaluation by Heckman et al. (1997) — to estimate the causal effect of a policy intervention. It constructs a credible comparison group from non-partici

2 zdrojů1983

Policy Evaluation Propensity Score Weighting

Policy evaluation propensity score weighting applies inverse-probability weighting to observational data to estimate the causal effect of a policy program. By reweighting participants and non-participants so they resemble a target population, it removes selection bias from voluntary or administratively allocated progra

2 zdrojů1983

Policy Evaluation Regression Discontinuity Design

Policy Evaluation Regression Discontinuity Design (Policy RDD) exploits a known eligibility threshold in a policy rule to estimate the causal effect of that policy on outcomes. Units just below the cutoff serve as a credible comparison group for units just above it, making RDD one of the most transparent quasi-experime

2 zdrojů1960

Policy Evaluation Synthetic Control Method

The Synthetic Control Method (SCM) is a causal inference technique for evaluating the effect of a policy or intervention on a single treated unit — such as a region, country, or firm — by constructing a weighted combination of untreated comparison units that closely mirrors the treated unit before the intervention. Int

2 zdrojů2003

psychometrics

Polytomous DIF

Polytomous differential item functioning detects whether a test or survey item with more than two ordered response categories (e.g., Likert-type scales, partial-credit items) functions differently across groups such as gender, ethnicity, or language background, after controlling for the latent trait being measured. It

2 zdrojů1990

psychometrics

Polytomous item analysis

Polytomous item analysis examines the psychometric behavior of items that have more than two ordered response categories — such as Likert-type scales or partial-credit tasks. It evaluates each item's difficulty thresholds, discriminating power, and category functioning to determine whether the full response scale is be

2 zdrojů1969

implementation science

PORAS

The Perceived Organizational Readiness for Assisting the System (PORAS) is a 19-item self-report measure developed by Helfrich and colleagues to assess organizational readiness to implement health information technology systems and other healthcare innovations. Grounded in Weiner's theory of organizational readiness fo

2 zdrojů2009

Practice Environment Scale of the Nursing Work Index

The Practice Environment Scale of the Nursing Work Index (PES-NWI) is a 31-item instrument designed to measure nurses' perceptions of their practice environment, particularly factors related to autonomy, control over practice, and organizational support. Developed by Lake in 2002 and based on foundational work by Krame

3 zdrojů2002

Pragmatic case series

A pragmatic case series is an observational study that documents consecutive or purposively selected patients receiving a clinical intervention or presenting with a condition under routine, real-world practice conditions — without randomization, a control group, or the highly controlled eligibility criteria characteris

Pragmatic case-control study

A pragmatic case-control study is an observational design that compares individuals who have developed a disease or outcome (cases) with those who have not (controls), using data collected under routine real-world conditions rather than strictly controlled experimental settings. Exposure histories are reconstructed fro

2 zdrojů1950

Pragmatic Cross-Sectional Epidemiological Study

A pragmatic cross-sectional epidemiological study measures the prevalence of exposures, outcomes, and risk factors in a defined population at a single point in time, conducted under real-world conditions rather than tightly controlled experimental settings. It provides a snapshot of the health status of a community or

Pragmatic diagnostic accuracy study

A pragmatic diagnostic accuracy study evaluates how well a diagnostic test performs under real-world clinical conditions — not in idealized, tightly controlled settings. Conducted within routine care workflows, it measures sensitivity, specificity, predictive values, and likelihood ratios for an index test against a re

2 zdrojů2000

Pragmatic Dose-Response Analysis

Pragmatic dose-response analysis quantifies how varying levels of an exposure or treatment relate to clinical outcomes under real-world conditions. By embedding dose-response questions within pragmatic study designs — broad eligibility criteria, routine care settings, and heterogeneous populations — it bridges the gap

2 zdrojů1990

Pragmatic ecological study

A pragmatic ecological study is an observational epidemiological design that examines associations between exposures and outcomes at the population or group level — using routinely collected, real-world data — with the explicit goal of informing practical public health decisions under everyday conditions. Rather than c

Pragmatic nested case-control

A pragmatic nested case-control study embeds a case-control analysis within a pre-existing real-world cohort — typically drawn from electronic health records, administrative claims, or disease registries — to examine associations between exposures and outcomes under routine clinical conditions. Controls are sampled fro

2 zdrojů1977

Pragmatic phase II clinical trial

A pragmatic Phase II clinical trial is an early-to-mid-stage interventional study that evaluates a new treatment's preliminary efficacy and safety under conditions that approximate real-world clinical practice rather than tightly controlled experimental settings. It sits between pure explanatory Phase II trials and lar

Pragmatic phase III clinical trial

A pragmatic phase III clinical trial is a large-scale randomized study designed to evaluate whether an intervention works under the conditions of everyday clinical practice rather than the tightly controlled environment of an explanatory efficacy trial. It recruits a broad, representative patient population, allows fle

Pragmatic phase IV study

A pragmatic Phase IV study is a post-marketing investigation conducted under routine clinical conditions to evaluate a drug or device's real-world effectiveness, long-term safety, and comparative performance. Unlike the controlled Phase III environment, it intentionally minimizes protocol restrictions — broad eligibili

Pragmatic randomized clinical trial

A pragmatic randomized clinical trial (pragmatic RCT) is an interventional study that tests whether a treatment works under routine clinical conditions, as opposed to the tightly controlled setting of an explanatory trial. It prioritizes broad eligibility, flexible delivery, and patient-relevant outcomes to answer the

Pragmatic Screening Test Evaluation

A pragmatic screening test evaluation assesses the real-world effectiveness of a screening instrument under routine clinical or public-health conditions — rather than the tightly controlled, ideal-participant settings of explanatory studies. It asks whether the screening tool performs adequately in the actual populatio

2 zdrojů2000

Pragmatic survival analysis

Pragmatic survival analysis applies time-to-event statistical methods within pragmatic or real-world settings, estimating how long patients survive, remain event-free, or retain treatment benefit under conditions of routine clinical practice. Unlike explanatory survival analyses conducted under tightly controlled trial