Један каталог истраживачких метода — сазнајте како свака ради, када се користи и шта не може.
Fidelity of Implementation refers to the degree to which an evidence-based practice or intervention is delivered as originally designed and intended. The Fidelity of Implementation Scale (or fidelity assessment framework) operationalizes this concept by specifying the core components of an intervention, defining each c
The FIQ is the most widely used patient-reported outcome measure for fibromyalgia disease burden. Developed by Cynthia Burckhardt and colleagues in 1991, this 10-item questionnaire quantifies how fibromyalgia affects physical function, work capacity, depression, anxiety, sleep, pain, and fatigue. The revised version (F
The FWQ is a self-report questionnaire assessing pregnant women's subjective perception of fetal wellbeing, maternal physical and emotional health, and prenatal bonding. Developed by DiPietro and colleagues studying fetal development and maternal-fetal attachment, the FWQ captures non-clinical dimensions of pregnancy e
The GRBAS Scale (Grade, Roughness, Breathiness, Asthenia, Strain) is a clinician-rated perceptual assessment tool for classifying voice quality across five distinct vocal dimensions. Developed by Hirano in 1981, GRBAS provides a standardized language for voice clinicians and physicians to describe dysphonia characteris
The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is a 27-item, CMS-mandated patient experience survey administered to a random sample of hospital inpatients after discharge. Launched in 2006 by the Centers for Medicare & Medicaid Services and the Agency for Healthcare Research and Quality,
The HDDS is a simple, 12-item food group checklist that captures the diversity of the household diet in the preceding 24 hours. Developed by the FAO in 2011 as a proxy indicator of dietary quality and nutrient adequacy, the HDDS enables rapid assessment of the nutritional vulnerability of households in resource-limited
The System Usability Scale (SUS) is a rapid, validated tool for measuring perceived usability of digital products, widely adapted for health applications. Developed by John Brooke in 1996 and extensively validated by Bangor and colleagues, the 10-item SUS generates a single composite score reflecting users' subjective
The Health Belief Model (HBM) is a foundational psychological framework developed by Marshall Rosenstock in 1966 to predict and explain preventive health behavior. Based on the central premise that people take health action to avoid illness when they perceive susceptibility to a health threat and believe that taking ac
Health literacy scales are validated self-report instruments designed to measure the capacity of individuals to access, understand, appraise, and communicate health information to maintain or improve health. The Rapid Estimate of Adult Literacy in Medicine (REALM) and Test of Functional Health Literacy in Adults (TOFHL
The Health Protective Behavior Scale (HPBS) assesses self-reported engagement in preventive behaviors during infectious disease outbreaks, including hand hygiene, respiratory etiquette, isolation, and vaccination. Developed from literature review and behavioral theory by Bish and Michie, and refined through implementat
Health Technology Assessment (HTA) is a structured, multidisciplinary approach to evaluating the clinical, economic, and societal effects of healthcare technologies (devices, drugs, procedures, systems). HTA synthesizes evidence from clinical trials, observational studies, and economic analyses to support decision-make
The Health-Promoting Lifestyle Profile II (HPLP-II) is a 52-item self-report instrument developed by Walker, Sechrist, and Pender in 1987 to assess and measure health-promoting behaviors across multiple life domains. Based on Pender's Health Promotion Model, the HPLP-II evaluates six dimensions of positive health behav
The Healthcare Team Vitality Instrument (HTVI) is a brief, 5-item survey designed to measure healthcare team cohesion, communication quality, and shared purpose—dimensions of team "vitality" that are associated with effective teamwork and patient safety. Developed by Metersky and colleagues and validated in intensive c
The Healthcare Worker COVID-19 Burnout Scale (HWCBS) measures occupational burnout specific to pandemic-era healthcare work, including emotional exhaustion, depersonalization, and reduced personal accomplishment under pandemic stress. Adapted from the Maslach Burnout Inventory (MBI) by Lan and colleagues for COVID-19 c
The HEI-2020 is a composite score measuring diet quality based on adherence to the 2020–2025 Dietary Guidelines for Americans. Developed by USDA and the National Cancer Institute, the HEI evaluates 13 dietary components: adequacy of fruit, vegetables, grains, protein foods, dairy; moderation of saturated fat, added sug
The HFEQ is a parent-report questionnaire measuring the household food environment—the availability of healthy and unhealthy foods, parent feeding practices, and family mealtime characteristics. Developed by Boles, Fulkerson, and colleagues, the HFEQ captures multiple dimensions of the home environment that influence c
The HFIAS is a 9-item survey designed to measure the frequency and severity of food insecurity at the household level in resource-limited settings. Developed by the FANTA Project in 2007, it assesses four domains of food access: anxiety, dietary diversity, food consumption frequency, and household member deprivation. I
The HFSM is the official U.S. government measure of household food security, used in the Current Population Survey and National Health and Nutrition Examination Survey since 1995. The 18-item full form and 6-item short form assess the frequency and severity of food insecurity within a household based on direct reports
Hospital bed occupancy models forecast the number of occupied beds at future times by analyzing admission patterns, length of stay distributions, and discharge dynamics. These models support tactical decisions about staffing, supply chain management, and strategic decisions about capacity expansion.
Hospital readmission prediction models use statistical and machine learning techniques to identify patients at high risk of returning to the hospital shortly after discharge. These models guide targeted discharge planning and follow-up to improve outcomes and reduce costs.
The Hospital Survey on Patient Safety Culture (HSOPS) is a 42-item standardized instrument developed by the Agency for Healthcare Research and Quality (AHRQ) to measure patient safety culture in hospital settings. First released in 2004 and revised in 2018, the HSOPS assesses 12 composite dimensions of safety culture a
The Hunt and Hess Scale is the most widely used clinical grading system for assessing severity and prognosis in subarachnoid hemorrhage (SAH) caused by ruptured intracranial aneurysm. Developed by neurosurgeons William Hunt and Robert Hess in 1968, the five-point ordinal scale measures level of consciousness and presen
The IBDQ is a disease-specific quality of life measure for inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis. Developed by Elena Irvine and colleagues in 1994, this 32-item questionnaire measures how IBD affects bowel function, systemic symptoms, emotional well-being, and social functio
The Implementation Climate Scale (ICS) is a brief organizational assessment tool that measures the extent to which an organization's work climate, policies, and systems are aligned with and supportive of evidence-based practice (EBP) implementation. Developed by Ehrhart, Aarons, and Farahnak in 2014, the ICS measures f
The Illness Perception Questionnaire—Revised (IPQ-R) is a 70-item measure (brief version: 38 items) developed by Moss-Morris and colleagues (2002) to assess how individuals perceive and cognitively represent their illness. Based on Leventhal's Common Sense Model of illness representation, the IPQ-R measures nine dimens
The Implementation Leadership Scale (ILS) is a 12-item self-report measure that assesses unit-level leadership behaviors critical to successful implementation of evidence-based practices and innovations. Developed by Aarons, Ehrhart, and Farahnak in 2014, the ILS measures four dimensions of implementation leadership: p
The Implementation Outcome Taxonomy is a framework defining eight measurable dimensions for assessing implementation success: Acceptability, Adoption, Appropriateness, Feasibility, Fidelity, Implementation Cost, Penetration, and Sustainability. Developed by Proctor et al. (2011), it provides a standardized vocabulary a
Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the
The International Prostate Symptom Score (IPSS) is a validated seven-item self-report instrument adopted by the World Health Organization and American Urological Association to measure the severity of lower urinary tract symptoms (LUTS) in men with suspected benign prostatic hyperplasia (BPH). The IPSS comprises items
The IPCS is a self-report questionnaire measuring healthcare professionals' and students' attitudes, beliefs, and behaviors regarding interprofessional collaboration and teamwork. Developed through research by Hind and colleagues in 2003 and refined in subsequent interprofessional education studies, the IPCS evaluates
The IYCF assessment is a set of core indicators developed by WHO and UNICEF to measure the prevalence of key feeding practices in children aged 0–23 months. The indicators track six essential markers: exclusive breastfeeding in infants under 6 months, continued breastfeeding in the second year, timely introduction of c
The KDQOL is the most widely used quality of life measure for chronic kidney disease (CKD) patients, particularly those on dialysis. Developed by Ron Hays and colleagues in 1994, this multidimensional questionnaire (full version 134 items; short-form KDQOL-SF 36 items) measures kidney disease-specific impacts on physic
Knowledge Translation (KT) is the systematic synthesis, dissemination, exchange, and application of research findings to improve health outcomes and healthcare practice. First formalized by the Canadian Institutes of Health Research in 2004, KT recognizes that evidence generation alone does not automatically change cli
The Knowledge-to-Action (KTA) Framework is a conceptual model and process guide for translating evidence into practice, developed by Ian Graham and colleagues at the Ottawa Hospital Research Institute (2004–2006). The KTA framework addresses a central challenge in implementation science: research evidence alone does no
Lean is a management philosophy that emerged from the Toyota Production System, focused on maximizing patient value while minimizing waste. Applied to healthcare, Lean uses systematic methods to identify and eliminate non-value-added activities, reduce wait times, and improve the quality of patient care.
The Lockdown Wellbeing Scale (LWS) measures the specific psychological and social impacts of mobility restrictions and lockdown policies on individual well-being. Developed by Giuntella and colleagues from economic and social data on pandemic restrictions, it captures dimensions of isolation, social disconnection, rout
A Markov model is a decision-analytic tool that simulates disease progression through defined health states over time, calculating cumulative costs and quality-adjusted life years (QALYs) to enable cost-effectiveness analysis. Developed by Beck and Pauker in 1983, Markov models are now the standard framework for projec
A matched case report is a structured clinical case write-up in which the index patient is compared against one or more systematically selected matched comparators — typically patients with similar demographics, comorbidities, or clinical settings who did not experience the same unusual outcome. The matched comparator
A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure
The matched case-crossover design is a self-controlled observational study in which each case serves as its own control. A short hazard window immediately before the acute event is compared with one or more matched control windows — selected to have the same day of week, season, or other time-varying covariate — making
A matched cohort study is an observational design in which each exposed participant is paired with one or more unexposed counterparts who share key characteristics — such as age, sex, or comorbidity status — before both groups are followed forward in time to compare incident outcomes. Matching controls for measured con
A matched cross-sectional epidemiological study is an observational design that measures exposure and outcome simultaneously in a population sample while applying matching to control for one or more confounding variables. By pairing or grouping participants on key characteristics such as age, sex, or socioeconomic stat
A matched diagnostic accuracy study evaluates how well an index test correctly identifies a target condition in study participants who have been matched on key characteristics — such as age, sex, or disease severity — to control for confounding. By pairing diseased and non-diseased subjects on relevant factors before a
Matched dose-response analysis evaluates whether increasing levels of exposure are associated with proportionally increasing (or decreasing) risk of an outcome, within a study where cases and controls — or exposed and unexposed individuals — have been deliberately matched on key confounders such as age, sex, or study s
A matched ecological study is an observational epidemiological design in which aggregate units — such as geographic areas, communities, or time periods — are systematically paired or matched on key characteristics before comparing exposure and outcome rates. Matching at the group level controls for area-level confounde
A matched nested case-control study is an efficient observational design embedded within a defined cohort. When a participant develops the outcome of interest (a case), a small number of controls are sampled from those still at risk at that moment and matched to the case on key variables such as age, sex, or calendar t
A matched Phase II clinical trial is a single-arm or small-controlled early-efficacy study in which treated patients are paired with matched controls — drawn from historical databases, registries, or concurrent external cohorts — on key prognostic variables such as age, disease stage, and performance status. This desig
A matched Phase III clinical trial is a confirmatory, late-stage controlled study in which each participant assigned to the experimental treatment is paired with one or more controls who share key prognostic characteristics — such as age, disease stage, or comorbidities — before treatment allocation. By ensuring baseli
A Matched Phase IV study is a post-marketing observational design in which patients who received an approved drug (or intervention) are matched to comparable non-exposed patients — or patients on an alternative therapy — to evaluate real-world safety, effectiveness, or long-term outcomes. Conducted after regulatory app
A matched randomized clinical trial pairs participants (or clusters) on key baseline characteristics before randomization, then allocates one member of each pair to treatment and the other to control. This design combines the causal validity of randomization with the covariate balance of matching, increasing statistica
Matched screening test evaluation assesses the sensitivity, specificity, and predictive values of a screening or diagnostic test using a matched design, in which disease-positive cases are paired with one or more disease-free controls selected to share key characteristics such as age, sex, or clinical setting. Matching
The Maternal Diet Quality Index (MDQI) is a composite measure of maternal nutrition that evaluates diet quality during pregnancy and postpartum using a scored framework. Adapted from general population dietary quality indices, the MDQI emphasizes nutrients critical for fetal development and maternal health: folate, iro
A meta-analytic case report is a secondary research methodology that systematically identifies, appraises, and quantitatively or qualitatively pools data from multiple published individual case reports on the same clinical phenomenon. It is used most often when randomized trials or cohort data are unavailable — particu
A meta-analytic case series is an evidence-synthesis design that systematically identifies, appraises, and statistically pools outcome data from multiple single-arm case series on a defined clinical condition or intervention. It occupies a middle tier of evidence — above individual case reports and unsystematic series,
A meta-analytic case-control study systematically identifies, critically appraises, and quantitatively synthesizes data from multiple independent case-control studies examining the same exposure-disease relationship. By pooling odds ratios across studies, it yields a more precise and generalizable estimate of associati
The meta-analytic case-crossover design combines the within-person control structure of the case-crossover study with formal meta-analytic pooling across multiple studies. Each contributing study uses cases as their own controls by comparing exposure windows immediately preceding an acute event to matched reference win
A meta-analytic cohort study systematically identifies, appraises, and statistically pools the findings of two or more independent cohort studies addressing the same exposure-outcome relationship. By combining large prospective datasets, it provides more precise risk estimates than any single cohort alone, makes dose-r
A meta-analytic cross-sectional epidemiological study systematically identifies and statistically pools prevalence or proportion estimates from multiple independent cross-sectional surveys. By combining data across studies — often using variance-stabilising transformations and random-effects models — it produces a more
A meta-analytic diagnostic accuracy study systematically identifies and pools sensitivity and specificity data from multiple primary diagnostic test accuracy studies. Using the bivariate or hierarchical summary ROC (HSROC) model, it produces a joint summary of a test's ability to correctly classify diseased and non-dis
Meta-analytic dose-response analysis pools summary statistics from multiple epidemiological studies to characterize how disease risk changes across ordered levels of an exposure. Rather than comparing a single high-exposure group against a reference, it reconstructs a continuous or categorical exposure-risk curve acros