“Repeal and replace”: increased demand for intrauterine devices following the 2016 presidential election

Impact of perceived contraceptive policy changes on long acting reversible contraception dispensing trends

OBJECTIVE

We observed the long-term trend of Long Acting Reversible Contraception (LARC) usage before and after the 2016 presidential election.

METHODS

We observed the rate of LARC dispensed at a university student health centre in the 18 months preceding and 27 months following the 2016 U.S. presidential election which posed threat to contraception access. We applied a segmented regression model using two linear regression line segments to evaluate whether there is a time point where the trend of LARC dispensing changed. We fit the regression models with a breakpoint at month 0 (election month) and 3 months with a Locally Estimated Scatterplot Smoothing (LOESS) estimate with parameters obtained by estimating simple linear regression models separately below and above the breakpoint '0'.

RESULTS

There were a total of 2067 LARC methods dispensed from May 2015 to February 2019. The average number of LARC methods dispensed before November 2016 was 38/month and increased to 51/month post-presidential election. The LARC dispense rate significantly increased each month (0.38, 1.74; 95% confidence level, p < 0.05) until a breakpoint at 6 months (standard error 4.11) post-election followed by slower decrease (-0.59/month, 95% confidence level: -1.37, 0.20; p=not significant).

CONCLUSION

Our study is the first to report long-term trends (27 months post-election) in LARC uptake amidst the public discourse that suggested the end of a policy that provided LARC insurance coverage. Although this observational study cannot suggest causality, the findings could reflect actions taken to prevent unintended pregnancy in response to the event of uncertain national policy.

Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

Background

Individuals are increasingly turning to search engines like Google to obtain health information and access resources. Analysis of Google search queries offers a novel approach, which is part of the methodological toolkit for infodemiology or infoveillance researchers, to understanding population health concerns and needs in real time or near-real time. While searches predominantly have been examined with the Google Trends website tool, newer application programming interfaces (APIs) are now available to academics to draw a richer landscape of searches. These APIs allow users to write code in languages like Python to retrieve sample data directly from Google servers.

Objective

The purpose of this paper is to describe a novel protocol to determine the top queries, volume of queries, and the top sites reached by a population searching on the web for a specific health term. The protocol retrieves Google search data obtained from three Google APIs: Google Trends, Google Health Trends (also referred to as Flu Trends), and Google Custom Search.

Methods

Our protocol consisted of four steps: (1) developing a master list of top search queries for an initial search term using Google Trends, (2) gathering information on relative search volume using Google Health Trends, (3) determining the most popular sites using Google Custom Search, and (4) calculating estimated total search volume. We tested the protocol following key procedures at each step and verified its usefulness by examining search traffic on birth control in 2017 in the United States. Two separate programmers working independently achieved similar results with insignificant variation due to sample variability.

Results

We successfully tested the methodology on the initial search term birth control. We identified top search queries for birth control, of which birth control pill was the most popular and obtained the relative and estimated total search volume for the top queries: relative search volume was 0.54 for the pill, corresponding to an estimated 9.3-10.7 million searches. We used the estimates of the proportion of search activity for the top queries to arrive at a generated list of the most popular websites: for the pill, the Planned Parenthood website was the top site.

Conclusions

The proposed methodological framework demonstrates how to retrieve Google query data from multiple Google APIs and provides thorough documentation required to systematically identify search queries and websites, as well as estimate relative and total search volume of queries in real time or near-real time in specific locations and time periods. Although the protocol needs further testing, it allows researchers to replicate the steps and shows promise in advancing our understanding of population-level health concerns.

International Registered Report Identifier (IRRID)

RR1-10.2196/16543