Questions Flashcards

1
Q
  1. What is a meta-analysis?
A

A quantitative synthesis of the findings from other peer-reviewed articles that investigated a similar research question based on strict inclusion and exclusion criteria. The quantitative synthesis gives a weighted average of the effect being investigated.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
  1. How is a meta-analysis different to a systematic review?
A

A systematic review and meta-analysis use a similar, rigorous search process that is outlined in the PRISMA guidelines. However, a systematic review will include narrative synthesis of the findings of included studies, and a meta-analysis includes the quantitative or statistical synthesis. Therefore, a meta-analysis is able to produce a numerical indicator of effect.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q
  1. Why are you doing a meta-analysis and not an original data study?
A

Over the past four decades there has been growing interest in this research question. These studies span smaller scale cross-sectional studies to larger-scale longitudinal designs. Therefore, within the scope of the thesis year, it is not possible to meaningfully contribute to what is already known on this topic. However, by doing a meta-analysis, we are able to use what all of the other researchers have done and published and meaningfully contribute to knowledge through analysing a weighted average of these effects across the study designs and samples.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q
  1. What are Boolean operators?
A
  • Boolean operators are software functions that enable you to either expand or restrict a database search using relevant search terms. For example, you could use AND, OR, or NOT in between search terms, you could use quotation marks to keep multiple word phrases together, or you could use an asterisk to replace different endings to words that have a similar beginning. For example, if you have a word like behaviour or internalizing that have different US and UK spelling variations.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q
  1. How does your study differ to the one you reviewed by Wenze et al. (2015)?
A
  • The Wenze et al. (2015) study had a very similar research question. However, it was a systematic review that provided a narrative review of the relevant studies they identified, but did not include a weighted quantitative average of the effect. So, while the studies were summarised, it was unclear from that study if parents of twins had statistically worse outcomes than those of singletons. Further, as the Wenze et al. (2014) study’s search strategy only included relevant articles published up until 2014, there is nearly a decade of new research that has to been synthesised which is important to consider when we know that the rates of twin pregnancies and associated ART use are rapidly increasing, so this research question is becoming more and more relevant.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q
  1. Why are you excluding studies that focused on populations who are high risk/used substances?
A

Including studies with participants from high-risk groups like substance abuse can have a significant effect on the results of our meta-analysis, as the risk for individuals in these groups is typically higher than for the general population.

If we included participants from high-risk groups in our meta-analysis, it may inflate our overall baseline risk estimate, and we could overestimate the effect size, making the risk of twin birth on parental mental health appear higher than it actually is.

or

For the purpose of this meta-analysis, we will be excluding those studies because they introduce the risk of other known risk factors. At this stage, we are wanting to evaluate the baseline risk introduced by twin birth compared with singleton birth, as best we can anyway!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
  1. Survey studies include recruitment of participants. What does your recruitment period look like instead?
A

The equivalent of the recruitment process for the meta-analysis design is the database searching and screening phase. What this involves is conducting a thorough search on a number of databases with our predetermined and piloted search terms, Boolean operators, and filters, and exporting all of those search results into a referencing manager system. From there, I will create a record of where the results came from and how many of them there were, I will then remove the duplicates so that each search results is only appearing in my list once. Then, I will start the screening process for relevance, starting with the titles, then abstracts, then full-texts.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q
  1. What will you do if the studies you include use different outcome measures? Do you have to standardise them?
A

Well the software we will be using, review manager, has the ability to compare multiple different standardised outcome measures by comparing mean differences, rather than having to go through and standardise them ourselves.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q
  1. What information will you be extracting from the studies and why did you choose that information?
A

Participants, study design, assessment and publication year, country, recruitment method/recruitment site measures, and outcome data in the for of means and standard deviations.

A part of the reason as to why we chose this data is so we are more accurately able to compare them all, and we are also so we can provide an overview on the landscape of the existing research on the topic.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q
  1. Why are you only doing a systematic review of the ART risk and not a meta-analysis?
A

It is only recently that researchers have focussed on the impact of ART on parental mental health. As a consequence, there is little research, and research that we do have is conflicting and may not be comparable for us to conduct a statistical analysis.

Also, a systematic review on its own does not meet the requirements for a thesis as there needs to be an analysis element.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q
  1. Are you looking at diagnostic or screening measures?
A

We have predicted that it will be mostly screening measures, as we predict that most measures will be surveys. Surveys on their own are not sufficient for diagnoses.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q
  1. Why are you looking at the 2 year period?
A

I did an extensive search of the literature, and the most common theme was the two year period. There were not many studies that included pregnancy and beyond 2 years old.

There are a few advantages to why we have done this.
a. It ensures that our studies are comparable, therefore increasing internal validity
b. Focussing on one age period can reduce potential confounding variables, therefore increasing external validity as we are able to better generalise our findings to the population of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Why are you only looking at studies after 1980?

A

xxxx

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q
  1. Why is now the right time to conduct this meta-analysis on this topic?
A

The last systematic review with a similar research question was conducted by Wenze in (2015), since then there has been a wealth of new research on the topic, from cross-sectional data to cohort studies. We are wanting to contribute a quantitative analysis to the topic as one has never been done before.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
  1. Why did you choose to focus on depression, anxiety, and stress as outcomes of interest? Are there other outcomes that you considered but ultimately decided not to include?
A

So far, the research in this area on higher risk births such as twins, have almost exclusively focused on more clinical based outcomes which has primarily included depression, anxiety and stress. As this is a meta-analysis, we are seeking common outcomes in the literature, which might differ to an original data study that might try to understand more specific psychological outcomes or something more novel.

Literature has consistently shown that twin birth has an impact on these outcomes

There a lot of standardised/validated measures for these particular outcomes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q
  1. How is the weighting of each study determined in a forest plot?
A

The weighting of each study in a forest plot is determined by the amount of information or precision that the study provides for the meta-analysis. The larger the sample size of a study, the more precise the estimate of the effect size is likely to be. Therefore, studies with larger sample sizes are given more weight in the meta-analysis, as they contribute more information to the overall estimate of the effect size.

The weight of each study is usually represented in the forest plot by the size of the square symbol that represents that study. The larger the square, the more weight that study is given in the meta-analysis. This means that studies with large sample sizes will have larger squares, while studies with smaller sample sizes will have smaller squares.

17
Q
  1. What is the benefit of conducting a meta-analysis rather than a systematic review?
A

While a systematic review provides a comprehensive summary of the literature, a meta-analysis takes it a step further by pooling the results of individual studies to estimate a summary effect size. The main benefit of this is that it provides a more statistically robust approach, which can improve reliability, validity and objectivity.

18
Q
  1. What potential limitations do you anticipate in conducting this meta-analysis and systematic review, and how do you plan to address them?
A

the search process is iterative during the piloting stage, however it is very systematic (rigid) once the actual search process has begun. This is to reduce bias in the process. The limitations of your study are more likely to relate to the outcomes that are examined rather than the design. For example,
- we won’t be able to determine how many mothers/fathers have clinical diagnoses from the measures used,
- we won’t be able to directly compare mothers and fathers, and
- we won’t be able to analyse different risk factors associated with the outcomes, such as sociodemographic variables and neonatal risk factors.
- We also won’t be able to speculate on the trajectory of these outcomes over time, or the long term outcomes past 2 years of age

19
Q
  1. Why are you excluding studies that are associated with mental health but not directly related?
A

1) They are not within the scope of our research question (We had to draw a line somewhere)

2) Less research has been done on those outcomes so there are fewer studies to compare

3) There is more inconsistency for these outcomes so it is less likely they can be statistically compared.

20
Q
  1. Why are you excluding studies that do not report mental health outcomes using standardised measures or validated questionnaires?
A

To ensure the quality and reliability of the results

1) ensure that the studies we include are measuring the same concepts in a consistent way. This makes it easier to compare and combine the results of different studies.

2) If I were to use studies that are non-standardised or unvalidated, it may introduce variability or bias into the results, which can make combining and comparing studies difficult.

3) By excluding studies that do not use standardized measures or validated questionnaires, you can help ensure that your meta-analysis is based on high-quality studies that have used rigorous methods and measures.

21
Q
  1. Can you explain the National Institutes of Health Quality Checklist and how you will use it to assess the quality of the studies?
A
  • We will be using the observational/cross-sectional and case control version.
  • Designed to help reviewers evaluate the quality and risk of bias.
  • Includes 14 questions that are grouped into 3 categories:

Selection bias: this category includes questions related to the sampling frame, selection of participats and nonresponse bias

Study design: This category includes questions related to the study design, exposure and outcome measurement, and confounding variables.

Statistical analysis and reporting: this category includes questions related to the statistical methods used to analyse the data and the completeness and the transparency of reporting

Each question is scored as “yes”, “no” or “unclear” based on the information provided in the study report. After all questions have been scored, the results are used to determine the overall quality of the study and risk of bias

For example, if most of the questions are “yes” the study is considered to have low risk of bias