I’m almost caught up on recording last quarter’s journal club papers, with this second to last topic: Investigating health system performance: An application of data envelopment analysis to Zambian hospitals by Felix Masiye.
This data envelopment analysis (DEA) is an approach I’ve been hearing a lot about recently, and it seems to work through quite an operations-research lens. I hope I’ll be looking into it more in the near future.
This National Health Statistics Report that we read toward the end of last quarter’s journal club has one of the driest names we’ve seen. But the topic is a fascinating glimpse into the limits of our knowledge about society. How many households in USA have given up their landline phone entirely and only have a cell phone? Well, we answer most questions like that with a telephone survey. Uh-oh. Fortunately the National Health Interview Survey (in my experience, pronounced most commonly as “en-hiss”) is a health survey were enumerators visit households in person, and even though it is about population health, it can also answer this pressing question about technology use (and the potential invalidity of all of the surveys that do not visit households in person, but just call on the phone).
Continuing to catch up on my record of journal club topics, just under a month ago we read Parental income and the dynamics of health inequality in early childhood–evidence from the UK. There was a discussion of whether this was typical for a health economics paper.
Oh, how the quarter gets away. What happened in our journal club since I last recorded a paper? Well, I will start catching up now. The first thing that happened was just over a month ago we read a paper on prognosis for lovers of survival curves: Prognosis of patients with HIV-1 infection starting antiretroviral therapy in sub-Saharan Africa: a collaborative analysis of scale-up programmes. The author’s interpretation of their results:
Prognostic models should be used to counsel patients, plan health services, and predict outcomes for patients with HIV-1 infection in sub-Saharan Africa.
This week in journal club we are discussing Rudan et al, Epidemiology and etiology of childhood pneumonia in 2010. This description of an estimation method comes with an 80 page spreadsheet showing the calculation!
The quarter is underway, and journal club is back. This week will will discuss Tusting et al’s meta-analysis of socioeconomic development as an intervention against malaria.
I wonder if the forest plot is here to stay?
It presents a lot of information, but maybe it could emphasize the important parts more. There is great benefit to having a standard way to present systematic review data, however, so any changes need to be for huge benefit or just little tweaks.