Quantitative and Qualitative Pharmacy Research Flashcards

1
Q

What are the three main types of primary research?

A
  1. Basic research
  2. Clinical research
  3. Epidemiological research
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2
Q

What are some examples of secondary research?

A
  • Meta-analysis
  • Review
  • Systematic
  • Simple (narrative)
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3
Q

What are the FIVE steps to a research basis?

A
  1. Question -> What do the researchers want to know?
  2. Aim –> May be framed as specific objectives and/or hypotheses
  3. Methods –> Should be appropriate to the research question
  4. Results –> Attempt to answer research question
  5. Discussion and Conclusion –> Main findings + Comparison with previous work Strengths and weaknesses (limitations) + Future directions
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4
Q

For basic research (experimental research);

A) What does it determine the effect of?

B) what are examples of procedures and experimental design that are precisely specified + implemented?

C) What is done for confounding factors?

D) How is high internal validity achieved?

E) Why is external validity difficult to achieve?

A

A)

  • Determines the effect of variable X on outcome Y

B)

  • Animal/cell population, number of groups, case numbers, treatments, dosages of medication (mg/kg or mcg/kg)

C)

  • They are controlled or reduced

D)

HIV: outcome that occurs is because of intervention

  • Achieved by standardised experimental conditions

E)

  • Lab conditions not directly transferable to clinical practice –> e.g. may not be same, dose, route or dosage regimen
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5
Q

What are some considerations and obstacles to basic research?

A

Controlling conditions

  • Temperature and humidity

Availability/purity of materials and equipment

  • equipment breakdown

Animal research ethics

Need for excellent practical skills

  • Precision and accuracy

Unforeseen issues

Cost

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6
Q

What are the two types of clinical studies? Explain the differences.

A

Interventional

  • Compare the outcomes of treatments, procedures, practices, etc
  • Randomisation and blinding used to ensure observed differences are likely to be due to the intervention alone (.g. clinical trials)
  • Intervention is the only thing different between the two groups

Observational/descriptive

  • Patients treated individually based on clinical judgment and patient preference and outcomes monitored
  • Include non-interventional therapeutic studies, prognostic studies, observational drug studies, secondary data analyses, case series, and single case analyses.
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7
Q

For intervention clinical studies –> explain what the following terms mean

A) Randomised

B) Blinded

C) Double-blind

D) Controlled and placebo-controlled

A

A)

  • Active drug vs placebo (subgroups are similar e.g. age)
  • Randomly allocate to a treatment group

B)

  • Easier for a drug

C)

  • The patient and whoever is assessing the outcome doesn’t know if the patient had the active drug/placebo

D)

  • Treatment A is being compared treatment B
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8
Q

What is the negative of using a before-after design in pharmacy practice research?

A

Difficult to infer causation

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9
Q

Why may randomisation may be difficult in pharmacy practice research?

A

Risk of contamination —> the pharmacist shares too much information to the patient –> the patient becomes contaminated

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10
Q

What is an alternative to randomised designs? Briefly explain what it consists of.

A

Cluster randomised trials –> large numbers of patient required

  • Break pharmacies down to group A and group B –> group A provides information to patients and group B gives no pharmacist-based intervention
  • Usual care = control group; may be difficult to recruit
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11
Q

What are some factors for the ‘PICO’ clinical studies that have to be considered?

A
  • Patient recruitment, sample size
  • Adherence to study protocol

> Intention to treat vs per protocol

intention to treat: analyse data according to which group the patient was randomized to

per protocol: doing analysis based on whether the patient received intervention exactly according to what the study protocol did

  • Human research ethics
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12
Q

What do epidemiological studies investigate?

A

Investigate the distribution and historical changes in the frequency of diseases and the causes

  • Large patient groups
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13
Q

Epidemiological subtypes can be interventional or observational –> what are some examples of observational subtypes?

A
  • Cohort studies (longitudinal) —> compares the rate of disease among people exposed and not exposed to a hazard –> recruit a group of patients and follow them over time
  • Case control (retrospective) –> compares rate of prior exposure to a hazard among people with and without a health condition
  • Cross-sectional –> work at a simple time point –> split to those with and without disease –> look at exposure to factors among 2 groups
  • Longitdinal –> follow people over time

Prospective (recruit patient group and follow into the future) vs retrospective (looking backwards, reliant on patient recall and documentation)

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14
Q

What do prevalence and incidence mean in epidemiological studies?

A

Prevalence –> number of cases of disease present in a population

  • represented as a proportion/percentage
  • point prevalence –> at a particular point in time
  • period prevalence –> over a specified time period

Incidence –> number of NEW cases of a disease/disease onset

  • cumulative incidence = number of new cases over a time period/number of people at risk over that time period (proportion)
  • incidence rate = number of new cases/total person-time

incidence rate: used if different follow-up time for different people e.g. 10.8 per 100 patient years

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15
Q

What are some considerations for epidemiological studies?

A
  1. Selection bias –> match cases and controls
  2. Documentation/recall bias –> problem in case-control studies because it’s retrospective
  3. Loss to follow-up –> problem in cohort study
  4. Confounding –> less of a problem in cohort study as there is regular follow up –> can reliably ensure the gathering of information
  5. Time required
  6. Costs

5 and 6 = significant in a cohort study –> following over 10-20 years.

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16
Q

Pharmacoepidemiology –> study of use and effects of drugs in large numbers of people. What does it investigate?

A
  • Patterns of drug use
  • Safety
  • Effectiveness
  • Economic evaluations

Increasing using large datasets (e.g. administrative claims data, registries, electronic medical records, adverse event reporting systems)

17
Q

What are some examples of quantitative research?

A

Studies in which the researcher aims to quantify phenomena

  • Quantitative research produces numerical data

> Categorical (e.g. sex)

> Continuous (e.g. age)

18
Q

What are some examples of qualitative research? What do they investigate?

A

Qualitative researchers seek a deeper truth. They aim to study things in their natural setting, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them

  • Investigate how people see or interpret events or how they make sense of experiences
  • Identify the meaning that people attach to particular situations or explain their priorities and concerns
  • Exploring viewpoints of individuals in details –> small number of carefully selected samples
  • Why people hold these views and how it affects their behaviour
  • Not only what they say, but how they say it
19
Q

Compare quantitative vs qualitative research

A
20
Q

What are some methods for qualitative research?

A
21
Q

What does thematic analysis mean for qualitative data?

A

* Focus on themes emerging from data

  • Transcripts read by 2+ researchers who identify broad/issues/themes/codes
  • Choose exemplars (often verbatim quotes) that best represented the themes

Tools for data analysis

  • NVivo
  • Manual coding