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An introduction to study designs, focusing on descriptive and analytical approaches. Descriptive studies identify hypotheses and monitor health issues, while analytical studies test hypotheses about associations between exposures and outcomes. various study designs, including case reports, case series, cross-sectional surveys, qualitative studies, and randomized clinical trials. It also discusses the importance of research questions and study design selection.
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INTRODUCTION TO
STUDY DESIGNS
STUDY DESIGNS PAGE 02
TABLE OF CONTENTS
STUDY
DESIGNS
LECTURE OBJECTIVES
QUIZ
All Studies
Analytical (PICO)
Descriptive (PO)
Case Report Experimental Observational
Case Series
Cross-Sectional (Survey)
Qualitative
Group Data
Individual
Ecological Study
Cross-Sectional (Analytical)
Cohort
Case-Control
Hypothesis
Sequence Of Study Design
Analytical-Observational CASE-CONTROL Evaluate if hypothesized exposure is related to the outcome of interest
Analytical-Observational COHORT Further define importance of exposure for the development of outcome
Analytical-Experimental RCT Test the actual link between exposure and outcome. i.e. Causality
Identifying hypotheses to test in analytic studies
Quantification Of The Relationship
no
yes
Descriptive
Analytical
Assignment Of The Exposure By Researcher
Yes
No
Experimental (RCT)
Observational
TYPES OF STUDIES
USES, COMPARISONS & EXAMPLES
Descriptive Studies
Single case (^) similar cases Collection of
Single sample from larger population (No comparison)
Process of naturalistic inquiry that seeks in-depth understanding of phenomena within their natural setting (Individual, societies, languages)
● Detailed report of the symptoms, signs, diagnosis, treatment, and follow-up of an individual patient.
● Typically an unusual/novel occurrence
Detailed report of the symptoms, signs, diagnosis, treatment, and follow-up of a group of patients or cases with similar issue.
● Study prevalence of health related events at a point in time/snapshot.
● Often used to study conditions that are relatively frequent with long duration of expression (nonfatal, chronic conditions)
Answers the 'why?' questions
● Detecting novelties.
● Generating hypotheses.
● Allowing in-depth understanding.
● Educational value.
● Useful for hypothesis generation.
● Informative for very rare disease with few established risk factors.
● Cheap and simple.
● Ethically safe.
● Provides depth and detail
● Creates openness
● Simulates people’s individual experiences
● Lack of ability to generalize
● No possibility to establish cause-effect relationship
● Publication bias
● Cannot study cause and effect relationships
● Cannot assess disease frequency
Not suitable for studying rare or highly fatal diseases or a disease with short duration
● Usually fewer people studied
● Less easy to generalize
● Dependent on skills of the researcher
SPOTTING OF THE STUDY DESIGN
All Studies
Analytical (PICO)
Descriptive (PO)
Case Report Experimental Observational
Case Series
Cross-Sectional (Survey)
Qualitative
Group Data
Individual
Ecological Study
Cross-Sectional (Survey)
Cohort
Case-Control
Question 1
3 Issues Of The Design Tree
Question 2
Question 3
EXAMPLES
“Primary spontaneous pneumothorax is a common disorder occurring in young adults without underlying
lung disease. Although tobacco smoking is a well-documented risk factor for spontaneous pneumothorax, an
association between electronic cigarette use (that is, vaping) and spontaneous pneumothorax has not been
noted. We report a case of spontaneous pneumothoraces correlated with vaping”
Study design: Descriptive – Case Report
“Fourteen patients were treated for electronic cigarette burns between 2012 and 2016. Burn size ranged from
<1% to 6% total body surface area. Most patients suffered burns to their thighs because the battery or device
exploded in their pocket. The majority suffered partial thickness burns while four patients had full thickness
burns. Three patients required excision and autografting, all of which were full thickness burns. The average
time to recovery was 24.5 days”
Study design: Descriptive – Case Series
“We conducted 12 focus groups and two individuals interviews with youg adult nonusers e-cigarette vapers,
cigarette smokers, and dual users to assess beliefs about the effects of e-cigarettes. After a series of
open-ended questions,follow-up questions assessed reactions to domains previously examined in
expectancy measures for cigarette smoking and e-cigarette vaping. The constant comparative method was
used to derive themes from transcripts”
Study design: Descriptive - Qualitative
“A survey of 6902 German students (mean age 13.1 years, 51.3% male) recruited in six German states was
performed. Exposure to e-cigarette advertisements was measured with self-rated contact frequency to three
advertising images. Multilevel mixed-effect logistic regression models were used to assess associations
between exposure to e-cigarette advertisement and use of e-cigarettes, combustible cigarettes and hookahs
(ever and past 30 days)”
Spot the design! Three questions:
Q1: Analytical (association)
Q2: Observational (exposure was not randomly allocated)
Q3: Cross-sectional (Exposure & Outcome at the same time)
“Adult smokers (≥18 years old) making thewir first purchase at local participating
vape shops were asked by professional retail staff to complete a form with their
basic demographic and smoking history details together with scoring of their level
of nicotine dependence by a questionnaire. Participants were instructed how to
charge, fill, activate and use their e-cigs. Key troubleshooting was addressed and
phone numbers were supplied for technical assistance. Participants were
encouraged to use these products in the anticipation of reducing the number of
cig/day smoked. Their cigarette consumption was followed-up at 6 and 12 months”
Spot the design! Three questions:
Q1: Analytical (association)
Q2: Observational (exposure was not randomly allocated)
Q3: Cohort study (Exposure is measured BEFORE Outcome is measured)