Show HN: Review healthcare.gov plan prices in 1 click rather than 16
thehealthsherpa.com
thehealthsherpa.com
27596 is in multiple counties - you've got it listed only in Wake, but it's also Franklin county and IIRC Granville county too.
Is suspect 27596 is not the only ZIP in the country with this issue, and it can affect the results of this - Coventry was supposedly (as of a few days ago, anyway) not offering ACA plans in Franklin county, but was in Wake.
We currently include the plans from all counties in a particular zipcode rather than limiting to a specific county, but we should probably ask a user to specify their county if there's ambiguity. I'll get on adding this.
As for the data itself, it's current as of two weeks ago which is already slightly stale. This said, the data will only be as updated as the Healthcare.gov data from https://data.healthcare.gov/dataset/QHP-Individual-Medical-L...
EDIT: and thanks for your project - nice use of the data to help people get fast/easy access!
Personally I hate that notation and use capital M whenever given the opportunity. I feel like it used to show superiority or present another barrier to people outside of finance looking in.
a millimeter is = to 1000 micrometers.
1 thousand 1 thousands = 1 million
Disclaimer: I've been in the US my whole life.
And don't forget that 'cents' is short for 'centidollars'.
All of the SI prefixes k and below are lowercase.
I suspect people use MM/mm for the same reason, some guy just made a typo one day and it caught on.
(from the UK where m = million)
The price of plans varies dramatically by the deductible, and for most healthy people the deductible matters WAY more than the nominal plan level. (Since for ordinary services the different plan levels pay an extra $10-$50, but for a catastrophe the only number that matters is the deductible.)
We'd love to be able to find this data per-plan, but its not currently easily discoverable for the states without exchanges.
We're hoping to find deductible data in time for these plans as well as more data that would help people differentiate plans such as number of providers in-network nearby.
for zip code 03570
I recently came across http://samaritanministries.org/intro/ and it's much more appealing.
Would be nice if something like this was on the official site but my guess as to why it's not (besides the general mismanagement of the site creation...) is that by default it shows higher prices for plans than people would be eligible for (ex: no income based subsidies). That would make them "look bad" and they'd like to show lower overall costs.
Bug report too: When I entered a zip code the first two pages of the results show up blank. Clicking page 3 and onward show the data though. If there's only one page of data nothing shows up at all (no paging links either).
Thanks for the bug report- In theory I just pushed a fix for it. Could you confirm it's working for you now? If it's still there, could you let me know what zipcode you are using?
I was about to report one more about funky displaying of plan names but looks like the source data itself is like that (in the set you linked too). Search for bronze plans in 07302 and you'll see: AmeriHealth NJ Tier 1 Advantage_Ã
To send a request: https://data.healthcare.gov/resource/qhp-iml-dev.json?state=...
My notes on that page explain why this is really not a great dataset. These aren't really price quotes, they're averages they've generated for various age ranges. And since deductibles, coinsurance rates, and copays aren't included, there's really no way to compare them on a level playing field (although this is a problem that healthcare.gov has as well).
https://www.healthcare.gov/find-premium-estimates/#results/&...
On a bright side, I bet a ton of people got their pockets full by working on all of these exchanges.
I do think we will see states release data back to the federal gov for ease of use in time. NM and ID already has done this and other states seem to send their raw data to individuals when asked -- suggesting the data can be centralized (e.g. when we reached out to CA for data, they quickly provided their data to us).