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skeleton_doc.Rmd
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skeleton_doc.Rmd
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---
title: "HAQ article framework"
output:
word_document: default
html_document:
df_print: paged
---
```{r, include = FALSE }
knitr::opts_chunk$set(cache = TRUE, echo = FALSE)
library(tidyverse)
```
# Main document
## Introduction
* Amenable mortality defined as ...
* Thought to be a useful comparative measure of effectiveness and quality of healthcare
* Has been updated using GBD methodology and study data 2015
* International comparisons published [@ref]
* First time publication of English sub-national comparison
* Describes
+ Variation
+ Trends
+ Cross comparison with conventional method
+ Models variation with deprivation scores
+ Models variation with other metrics of local healthcare quality and performance
## Methods
* Calculation of HAQ described elsewhere
* In brief (to flesh out):
+ Identifies causes of death using Nolte and McKee list [@ref]
+ Recodes using 'garbage code' methodology
+ Risk adjusts
+ Calculates PCA
+ Constructs index using first 3 componenets
+ Scales index to 0-100
+ Compares index for each country against SDI using frontier analysis
+ Estimates additional gain/loss in index given countries level of socio-economic deprivation
* Obtain pre-calculated HAQ values for each UTLA from GBD
* Calculate summary metrics (tabulate)
* Plot variation and trends per LA via line charts and maps
* Obtain other metrics of healthcare performance and quality ? what
+ ONS area amenable and avoidable mortality rates (model/ correlation)
+ ?? Healthcare spend - ?is this available by LA - ? or estimation from CCGs
+ ?? SHMI - at provider level but map to LA?
+ Other??
* Simple regression model vs UTLA deprivation score and calculate predicted HAQ
## Results
* Tabular summaries
* Maps and charts
* ? Statistical analysis on trends
* Comparison with amenable mortality from ONS
* Context of other metrics
* Model vs deprivation (IMD)
* Estimates of potential improvement
## Discussion
* Novel method
* Literature about vailidty of amenable mortality as a measure of healthcare performance and quality
* What does this add?
* Paucity of indicators of population healthcare quality
* Potential as a monitoring tool?
* Other ideas?
## Conclusions
## Potential figures
```{r}
```
**********
# Abstract
## Introduction
## Methods
```{r literature_search}
source("pubmedAbstractR.R")
search <- "amenable mortality"
gbd <- pubmedAbstractR(search)
gbd %>%
group_by(year)%>%
tally() %>%
ggplot(aes(year, n)) +
geom_line() +
geom_point() +
labs(tite = paste("Annual articles on ", search))
```
## Results
## Discussion
## Conclusions