Background
Methods
Results
Discussion
Miscellaneous
100

What is ACA also known as?

Obamacare

100

What years of data from the Behavioral Risk Factors Surveillance System were used in the analysis?

2010-2018

100

By how many percentage points did health insurance coverage increase in expansion states?

11.1 percentage points

100

How did the results compare to previous studies using fewer years of post-expansion data?

Showed more significant improvements in behaviors than past shorter-term studies.

100

What U.S. government agency oversees the Medicaid program?

Centers for Medicare and Medicaid Services

200

What is Medicaid? 

The largest public health insurance in the U.S. for lower-income people.

200

What were the criteria used by the author to identify the studies reviewed in Table 1?

Keyword searches, type of study, outcomes examined

200

What types of preventive care did the author find significant increases in utilization of?

Routine checkups, HIV tests, dental visits

200

What mechanism did the author propose that may explain the findings?

Increased access to primary care providers

200

In what year were the majority of ACA's Medicaid expansions implemented?

2014

300

What does the author say is the relationship between income and preventive care utilization?

There is a strong positive correlation - lower-income people are less likely to get preventive care

300

What income restriction was applied to isolate the effect of Medicaid expansion?

Below 100% of federal poverty level

300

According to the results, how did heavy drinking change in years 4-5 after Medicaid expansion?

Decreased

300

What limitation of the data was highlighted in the discussion?

No source of insurance information to confirm Medicaid enrollment

300

Approximately how many U.S. states expanded Medicaid under the ACA?

36 states + Washington D.C.

400

According to the conceptual framework, how could health insurance both increase and decrease investments in health behaviors?

Price effects and information from providers could improve behaviors, but insurance could also cause ex-ante moral hazard.

400

Why does the author only examine individuals below 100% of the FPL (and not up to the complete 138% FPL that the expansion made eligible) ?

They did not want to conflate the effects of Medicaid expansion and exchange subsidies. 

400

What did the event study analysis reveal about timing changes in health behaviors?

The changes emerged in years 4-5 after expansion.

400

Can the results for low-income childless adults generalize to other populations? Explain your answer

No

400

What health insurance program in the U.S. does Medicaid provide?

 Public health insurance for low-income individuals

500

What explains why health behaviors may respond slower to policy changes than short-term responses would suggest?

Factors like addiction and inertia mean behaviors are slow to respond.

500

What assumptions did the parallel trends analysis test, and what was the result?

Tested pretreatment trends were parallel and found assumption satisfied for most outcomes.

500

Approximately what was the elasticity the author calculated for the effect of insurance on HIV testing?

0.38

500

What long-term implication for research does the author emphasize based on the findings?

Importance of longer post-treatment periods to evaluate total effects.

500

According to the paper, what was a limitation of using the Behavioral Risk Factors Surveillance System (BRFSS) data?

It does not record the source of health insurance