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chore(script): Comment all TODO and FIXME markers

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Marty Oehme 2024-01-06 10:05:11 +01:00
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scoping_review.qmd
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@ -329,7 +329,7 @@ There is also low evidence for return to work being increased by education, work
# Methodology and data
{{++ TODO: besides scoping, introduce systematic review considerations applicable: Cochrane, PRISMA ++}}
<!-- {{++ TODO: besides scoping, introduce systematic review considerations applicable: Cochrane, PRISMA ++}} -->
## The search protocol
@ -488,14 +488,14 @@ Of these, {nr_relevant} have been identified as potentially relevant studies for
""")
```
{{++ FIXME: Update description for changing study pool ++}}
<!-- {{++ FIXME: Update description for changing study pool ++}} -->
The currently identified literature rises almost continuously in volume,
with small decreases between 2001 and 2008, as well as more significant ones in 2012 and 2016,
as can be seen in @fig-publications-per-year.
Keeping in mind that these results are not yet screened for their full relevance to the topic at hand, so far only being *potentially* relevant in falling into the requirements of the search pattern, an increased results output does not necessarily mean a clearly rising amount of relevant literature.
{{++ FIXME: give full year scale ++}}
<!-- {{++ FIXME: give full year scale ++}} -->
<!-- TODO Should this be sub-divided by region or subdivision later per-section? -->
```{python}
@ -555,7 +555,7 @@ This is because, as @fig-publications-per-year showed, the overall output was no
In all of these cases, such outliers should provide clear points of interest during the screening process for possible re-evaluation of current term clusters for scoping.
Should they point towards gaps (or over-optimization) of sepcific areas of interest during those time-frames or more generally, they may provide an impetus for tweaking the identification query terms to better align with the prevailing literature output.
{{++ TODO: Add breakdown by thematic area++}}
<!-- {{++ TODO: Add breakdown by thematic area++}} -->
```{python}
#| label: fig-intervention-types
@ -588,9 +588,8 @@ plt.show()
by_intervention = None
```
{{++ TODO: describe intervention types with complete dataset ++}}
# Synthesis of Evidence --- a multitude of lenses
<!-- {{++ TODO: describe intervention types with complete dataset ++}} -->
This section will present a synthesis of evidence from the scoping review.
The section will also present a discussion on the implications of the current evidence base for policy and underscore key knowledge gaps.
@ -1138,7 +1137,6 @@ A variety of studies also look at female economic empowerment outcomes through a
focusing on the effects of interventions aimed at maternity support ---
childcare programmes, paid leave and maternity benefits.
{{++ insert intervention/outcome breakdown ++}}
## Spatial inequality