Asthma Clinical Trial
Official title:
Helping Chicago's Westside Adults Breathe and Thrive: Long Term Effectiveness of a Healthy Homes Approach to Improving Respiratory Health
Adults with asthma living in Chicago's West and Southwest side who completed the home-based Community Health Worker (CHW) intervention called Helping Chicago's Westside Adults Breathe and Thrive (HCWABT I) after October 2015 were eligible to participate in a randomized control trial called HCWABT II, which will evaluate the long-term impact of the intervention on their asthma control, asthma severity, healthcare use, and asthma-related quality of life. Participants are randomly assigned to an intervention arm, where they continue to receive occasional (monthly or bimonthly) contact from the CHW who served them during HCWABT I. or a control arm, where they no longer receive contact from the CHW. Members of both groups receive monthly data collection calls from a Research Assistant. We hypothesize that participants in the control arm will experience sustained improvements in asthma outcomes as compared to their pre-HCWABT I levels and that participants in the CHW intervention arm will continue to improve in asthma control severity, quality of life, and healthcare use.
Participants who enroll into HCWABT II will be randomized into one of two study arms: MPI or
MPC. In order to randomly choose which arm participants will be enrolled into, the RA will
select an envelope prior to the 12-Month visit that will tell them which arm to consent the
participant into. A total of 68 envelopes will read MPI and 68 envelopes will read MPC. If a
participant declines the maintenance phase, that envelope will be recycled for a future
drawing.
All data will be stored in a password-protected database on Sinai's secure server. Data will
be de-identified, except for one data collection tool, the Personal Data Sheet, which will
contain the participant's personal information along with their study ID. This information
will be kept in a separate password protected database. All data will be archived. Paper
files will be saved for a minimum of seven years in a secure locked facility. Electronic data
will be saved indefinitely, but will always remain password protected and stored on a secure
server hosted by Sinai's Information Systems Department. De-identified data will be available
to researchers who wish to use it through a data agreement approved by both institutions.
Findings will be widely disseminated. The dissemination plan is discussed in Rating Factor 5.
Baseline characteristics will be compared between participants who complete the entire
intervention and follow-up period, and those who are either lost to follow-up or dropout, to
assess the effect of selection bias. Dropout and completion rates will be reported.
Screening-to-enrollment ratios will be calculated from screening data. Frequencies, means and
medians, as appropriate, will be calculated for each outcome variable at baseline and over
the follow-up period associated with that outcome. The effect of the 12-month AI will be
evaluated using pre-posttest methods with each participant serving as his/her own historical
control. Participants enrolled in Maintenance RCT will be both evaluated against their own
historical data as well as the data of the other arm of the study. A cost effectiveness
analysis will also be conducted using process measures, including staff time, materials,
referrals and time spent on various intervention activities in order to calculate
program-specific costs. Non-parametric tests will be used to assess whether changes between
baseline and follow-up are statistically significant. In cases where the degree of difference
is important, such as when comparing differences in outcomes between the two study arms, the
Wilcoxon Signed-Rank test will be used. Frequencies across time will be assessed via the
McNemar Test for Proportions. All statistical tests will be two-sided, with a significance
level of 0.05.
Goals and milestones will be rigorously evaluated each quarter and adjustments made if/when
we are behind our target. As one example, we expect to enroll 25 new participants, or 25% of
our total goal, into the AI every quarter of the first year. If, for some reason, we are only
able to recruit 10% of the total participants after the first quarter, we will adjust our
methods of recruitment, send out an additional mailing to Housing Choice Voucher residents
and pursue real-time monitoring of eligible patients in our health system to ensure that we
are reaching all adults who need our program. If after those efforts we've only met 30% of
our recruitment goal after the second quarter, we may propose a limited expansion in our
targeted area, but we do not foresee this being an issue.
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