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Hi,Here's what I think is the final assignment. Attached you'll the find the article referenced in the analysis, your checklist, the actual analysis and the rubric. I graded it overall at 31/33. I hope that you'll find this satisfactory. Feel free to ask for any revisions! Also if you are pleased with everything, I would totally appreciate a review of your experience work with me.Best,kem
NUR400 Rubric for Summary of Strengths and Weaknesses for CONSORT assignment (The checklist is
worth 25 points + the rubric below equals a total of 33 points)
Metrics:
Schematic
Criteria
CONSORT Rubric
Analysis
(Checklist)
Overall analysis
of strengths and
weaknesses of
the study, e.g.,
reliability and
validity, ethics
(IRB), topic, etc.
(7 points)
APA Citation,
grammar,
spelling is either
1 or 0 points
Total points: add
columns 14=_/33
Excellent
Needs some
improvement
Needs significant
improvement
Poor
CONSORT checklist
correct
(18-25 points)
24
CONSORT
checklist with a
few errors
(12-17 points)
CONSORT
Checklist
CONSORT
checklist
(6-11 points)
Clearly identifies
the strengths and
weaknesses of the
study.
(7 points)
6
Somewhat
identifies the
strengths and
weaknesses of the
study.
(5 points)
Identifies to a
limited degree the
study findings.
(0-5 points)
Slightly or does
not identify the
study findings.
(3 points)
(0-2 points)
Correct
Incorrect
Incorrect
Incorrect
(1 point)
(0 points)
(0 points)
(0 points)
_________points
_________points
______31___points _________points
AJPH OPEN-THEMED RESEARCH
CommunityRx: A Real-World Controlled Clinical
Trial of a Scalable, Low-Intensity Community
Resource Referral Intervention
Stacy Tessler Lindau, MD, MAPP, Jennifer A. Makelarski, PhD, MPH, Emily M. Abramsohn, MPH, David G. Beiser, MD, MS, Kelly Boyd,
BS, Chiahung Chou, PhD, Mihai Giurcanu, PhD, Elbert S. Huang, MD, MPH, Chuanhong Liao, MS, L. Philip Schumm, MA and
Elizabeth L. Tung, MD, MS
Objectives. To test the effect of CommunityRx, a scalable, low-intensity intervention
that matches patients to community resources, on mental health-related quality of life
(HRQOL) (primary outcome), physical HRQOL, and confidence in finding resources.
Methods. A real-world trial assigned publicly insured residents of Chicago, Illinois, aged
45 to 74 years to an intervention (n = 209) or control (n = 202) group by alternating
calendar week, December 2015 to August 2016. Intervention group participants received usual care and an electronic medical record–generated, personalized list of
community resources. Surveys (baseline, 1-week, 1- and 3-months) measured HRQOL
and confidence in finding community resources to manage health.
Results. At 3 months, there was no difference between groups in mental (–1.03; 95%
confidence interval [CI] = –3.02, 0.96) or physical HRQOL (0.59; 95% CI = –0.98, 2.16).
Confidence in finding resources was higher in the intervention group (odds ratio = 2.08;
95% CI = 1.18, 3.63); the effect increased at each successive time point. Among intervention group participants, 65% recalled receiving the intervention; 48% shared community resource information with others.
Conclusions. CommunityRx did not increase HRQOL, but its positive effect on confidence in finding resources for self-care suggests that this low-intensity intervention
may have a role in population health promotion.
Trial Registration. ClinicalTrials.gov Identifier: NCT02435511. (Am J Public Health. 2019;109:
600–606. doi:10.2105/AJPH.2018.304905)
See also Corbie-Smith et al., p. 531, and Lindau, p. 546.
T
he shift from fee-for-service to valuebased payment models in health care
demands population health management
strategies that support individuals’ efforts to
maintain health and manage chronic conditions outside the health care setting.1 Policy
recommendations for population health
management have called for cross-sector collaboration, including hand-offs from medical
professionals to community-based service
providers2,3 that support individuals’ self-care,
basic, or “health-related social needs.”4 Although community referral solutions are already being adopted by health systems, little is
known about the effect of these interventions
on, or the mechanisms through which they
might improve, health outcomes.5–7
600
Research
Peer Reviewed
Lindau et al.
CommunityRx is a community resource
referral information system, developed in
partnership with stakeholders across sectors,
local residents, and with support from a US
Center for Medicare and Medicaid Innovation Healthcare Innovation Award.4
The delivery approach is “whole person,”8
universal, and low-intensity. By making
meaningful use of electronic medical record
(EMR) data9 and integrating with existing
clinical workflows, CommunityRx addresses
the full range of resource needs for all people
seeking health care. At each visit, for every
person, a HealtheRx is generated, including
resources for basic needs such as food and
housing, physical and mental wellness, and
disease management including smoking
cessation, weight loss, and counseling. Data
about community resources, including location, hours, and cost, are obtained by ongoing
assessment via direct observation and phone
surveys.10,11
In a previous observational study of
CommunityRx, more than 113 000 outpatients (aged 0–99 years) received a
HealtheRx during a clinical encounter (Appendix A, available as a supplement to the
online version of this article at http://www.
ajph.org). Each HealtheRx listed community
resources matched to the patient’s characteristics (age, gender, preferred language,
home address) and conditions (e.g., wellness,
homelessness, Alzheimer’s disease, hypertension). This study demonstrated the
feasibility of integrating the automated
CommunityRx intervention with widely
used EMR systems and yielded positive
ABOUT THE AUTHORS
Stacy Tessler Lindau is with the Departments of Obstetrics and Gynecology and Medicine-Geriatrics and Palliative Medicine,
The University of Chicago, Chicago, IL. Jennifer A. Makelarski, Emily M. Abramsohn, and Kelly Boyd are with the
Department of Obstetrics and Gynecology, The University of Chicago. David G. Beiser is with the Department of Medicine,
Section of Emergency Medicine, The University of Chicago. Chiahung Chou is with the Department of Health Outcomes
Research and Policy, Auburn University, Auburn, AL. Mihai Giurcanu, Chuanhong Liao, and L. Philip Schumm are with the
Department of Public Health Sciences, The University of Chicago. Elbert S. Huang and Elizabeth L. Tung are with the
Department of Medicine, Section of General Internal Medicine, The University of Chicago.
Correspondence should be sent to Stacy Tessler Lindau, MD, MAPP, Professor, Departments of Ob/Gyn and MedicineGeriatrics, The University of Chicago, 5841 S Maryland Ave, MC2050, Chicago, IL 60637 (e-mail: slindau@uchicago.edu).
Reprints can be ordered at http://www.ajph.org by clicking the “Reprints” link.
This article was accepted November 22, 2018.
doi: 10.2105/AJPH.2018.304905
AJPH
April 2019, Vol 109, No. 4
AJPH OPEN-THEMED RESEARCH
process-level outcomes including feasibility
and high satisfaction among patients and
providers.12
The Center for Medicare and Medicaid
Innovation also commissioned an external
evaluation of all Health Care Innovation
Awards, including CommunityRx, to assess
their impact on health care utilization. This
case–control study found, during the 3 years
following implementation, an average increase
in primary care visits and decrease in hospital
admissions among Medicare beneficiaries for
whom at least 1 HealtheRx was generated
(n = 7385) compared with 7260 matched
controls and an average decrease in emergency department (ED) visits among Medicaid beneficiaries (n = 2408) compared with
2437 matched controls.13,14 Although these
early results are promising, they do not
provide insights into the individual-level
mechanism of action or the effect of the
CommunityRx intervention on health
outcomes.
To characterize the individual-level
mechanisms and health effects of CommunityRx, we adapted the Self- and Family
Management Framework by Grey et al.15
widely used to study interventions to promote chronic disease management (Appendix
B, available as a supplement to the online
version of this article at http://www.ajph.
org). The framework identifies evidencebased “processes” or targets for interventions,
including “activating community resources”
as a key process that drives more distal quality
of life, health, and health care outcomes.15
CommunityRx targets this key process. The
model also differentiates between proximal
and distal outcomes, identifying self-efficacy
as 1 of several important proximal outcomes
on the causal pathway linking self-management to improved health.
Other promising resource referral interventions have been delivered to more selected populations, often using a screening
tool, targeted to a single basic or social need
(e.g., food insecurity or intimate partner violence) or specific disease (e.g., diabetes,
stroke) and either manually created or not
personally tailored.7 Most of these interventions have been studied under efficacy conditions,16 delivered by trained research
personnel, rather than via the usual workflow. To fill a gap in knowledge about the
effectiveness of a universal, low-intensity
April 2019, Vol 109, No. 4
AJPH
approach, we conducted a real-world trial17
of CommunityRx with an inclusive sample
of middle-aged and older adults. Building on
the framework by Grey et al., we tested the
hypotheses that providing automatically
generated referrals to community resources
for all patients at the point of care would yield
near-term improvement in patient mental
health-related quality of life (HRQOL; primary
outcome) and physical HRQOL (secondary
outcome). We also tested the hypothesis that
the intervention would increase confidence in
finding resources for self-care, a measure of
self-efficacy (secondary outcome).
using Qualtrics (Qualtrics, Provo, UT).
Face-to-face baseline interviews were
conducted during the medical encounter.
Phone interviews were conducted at 1
week, 1 month, and 3 months. The baseline
survey assessed sociodemographic characteristics and outcome measures; follow-up
surveys included outcome measures and, for
the intervention group only, questions
about the HealtheRx. Participants received
a $15 gift card for baseline survey completion and a $25 check payment for each
completed follow-up survey.
Intervention
METHODS
This trial was conducted at an urban academic medical center serving a predominantly African American (54% of 961 000
people) and high-poverty region (51% of
families lived below 200% of the federal
poverty level).18 Results reporting follows the
Transparent Reporting of Evaluations with
Nonrandomized Designs guidelines.19
Study Participants
Participants were enrolled from December
2015 to August 2016 from the ED and primary care clinic (PCC). The last follow-up
survey was conducted in December 2016.
Patients aged 45 to 74 years seeking care were
eligible if they were beneficiaries of Medicare,
Medicaid, or both, and resided in the 16-zipcode study region (inclusive of the medical
center’s primary service area). Those who
recalled previously receiving a HealtheRx,
did not speak English, or lacked capacity to
provide informed consent because of cognitive status or medical acuity were ineligible.
Study Procedures
The automated HealtheRx intervention
was integrated with routine EMR-based
discharge workflows. Delivery of the intervention by clinical staff via their usual
workflow prohibited individual-level randomization; patients were assigned by alternating calendar week to the intervention or
control groups.
Survey instruments were pretested for
validity and feasibility of administration.
Research assistants conducted interviews by
Details of the CommunityRx system have
been described previously.12 Control group
participants received usual care, which could
include receiving oral or written information
about resources. In addition to usual care,
intervention group participants received the
HealtheRx from their nurse in the ED or
administrative staff in PCC during discharge.
Intervention group participants also received
a mailed copy of their HealtheRx with the
1-week interview incentive check.
To ensure that intervention group participants received the HealtheRx and control
group participants did not, research staff in the
PCC observed participants’ discharge process.
Observation was not logistically possible for
participants enrolled in the ED; instead, signs
reminding ED staff of the protocol were
posted. Three months into the trial, a digital
“on/off” switch was added to the CommunityRx software to manage alternating week
assignment and, at the patient level, to prevent
a HealtheRx from being generated for control group patients who returned for scheduled care during their 3-mon...
