Literature DB >> 28215382

A Place-Based Community Health Worker Program: Feasibility and Early Outcomes, New York City, 2015.

Priscilla M Lopez1, Nadia Islam1, Alexis Feinberg1, Christa Myers2, Lois Seidl2, Elizabeth Drackett2, Lindsey Riley1, Andrea Mata3, Juan Pinzon4, Elisabeth Benjamin4, Katarzyna Wyka5, Rachel Dannefer2, Javier Lopez2, Chau Trinh-Shevrin1, Karen Aletha Maybank2, Lorna E Thorpe6.   

Abstract

INTRODUCTION: This study examined feasibility of a place-based community health worker (CHW) and health advocate (HA) initiative in five public housing developments selected for high chronic disease burden and described early outcomes.
METHODS: This intervention was informed by a mixed-method needs assessment performed December 2014-January 2015 (representative telephone survey, n=1,663; six focus groups, n=55). Evaluation design was a non-randomized, controlled quasi-experiment. Intake and 3-month follow-up data were collected February-December 2015 (follow-up response rate, 93%) on 224 intervention and 176 comparison participants, and analyzed in 2016. All participants self-reported diagnoses of hypertension, diabetes, or asthma. The intervention consisted of chronic disease self-management and goal setting through six individual CHW-led health coaching sessions, instrumental support, and facilitated access to insurance/clinical care navigation from community-based HAs. Feasibility measures included CHW service satisfaction and successful goal setting. Preliminary outcomes included clinical measures (blood pressure, BMI); disease management behaviors and self-efficacy; and preventive behaviors (physical activity).
RESULTS: At the 3-month follow-up, nearly all intervention participants reported high satisfaction with their CHW (90%) and HA (76%). Intervention participants showed significant improvements in self-reported physical activity (p=0.005) and, among hypertensive participants, self-reported routine blood pressure self-monitoring (p=0.013) compared with comparison participants. No improvements were observed in self-efficacy or clinical measures at the 3-month follow-up.
CONCLUSIONS: Housing-based initiatives involving CHW and HA teams are acceptable to public housing residents and can be effectively implemented to achieve rapid improvements in physical activity and chronic disease self-management. At 3-month assessment, additional time and efforts are required to improve clinical outcomes.
Copyright © 2016 American Journal of Preventive Medicine. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28215382      PMCID: PMC5656273          DOI: 10.1016/j.amepre.2016.08.034

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


Introduction

Place-based initiatives are a potentially effective approach to reduce health disparities among residents living in underserved neighborhoods.[1] Community health workers (CHWs) and health advocates (HAs) can play a role in advancing community health.[2] CHWs are health professionals who provide healthcare support and have a close understanding of communities they serve through shared ethnicity, culture, language, and life experiences.[3] HAs provide health insurance enrollment and post-enrollment healthcare navigational assistance.[4] In limited settings, CHWs have been deployed in public housing to address specific health needs, support health promotion, or build social capital.[5-8] None have been launched with municipal funds. In January 2015, a partnership among a city health agency, housing authority, community-based organizations, and academic partners was launched to address the health of residents in East Harlem, New York City, a neighborhood with high rates of obesity, diabetes, and barriers to health care.[9] This publicly financed initiative, the Harlem Health Advocacy Partnership, was guided by a health equity framework[10] and offered CHW services to housing residents to manage chronic diseases and set health goals, as well as insurance navigational assistance by a team of HAs to help residents find, understand, and use affordable/low-cost health insurance and health care, and review plan options. This study aimed to demonstrate feasibility and examine preliminary effectiveness.

Methods

Study Design

Intervention design and protocol was developed between June 2014 and January 2015 through meetings between partner institutions and interactions with public housing resident leaders. Participants were recruited from five public housing developments representing 12,720 residents; developments were selected for high hemoglobin A1c levels per health surveillance data.[11] Intervention inclusion criteria were age ≥ 18 years; self-reported diagnosis of hypertension, diabetes, or asthma; fluency in English or Spanish; and participation consent. The intervention was informed by a mixed-method needs assessment performed by academic partners from December 2014 to January 2015 (random sample telephone survey, n=1,663; six focus groups, n=55) among residents living in selected housing developments, as well as in five nearby developments with comparable demographic/health status make-up (comparison community). Needs assessment details have been published elsewhere as a report to policymakers and stakeholders.[11] Intervention evaluation design was a non-randomized, controlled quasi-experiment. Most intervention and all comparison participants were recruited from the needs-assessment telephone survey if they reported hypertension, diabetes, or asthma diagnoses and expressed interest; additional recruitment of intervention participants occurred via local health fairs and outreach. Intake and 3-month follow-up data collection by academic partners occurred February–December 2015; a brief in-person questionnaire and biometric assessment of blood pressure, height, and weight were administered at each time point. All participants received a $20 cash incentive for completing follow-up survey. CHWs were recruited from targeted housing residences and broader East Harlem community, hired by a local community- based organization, and trained in CHW core competencies, health education, goal setting, and in facilitating linkages to care by referring to HAs employed by another local community-based organization expert in health insurance enrollment and access to care issues. The CHW intervention included six or more educational/instrumental support visits, as well as referral to HAs as needed. CHW and HAs were trained separately on respective competencies but jointly on Harlem Health Advocacy Partnership protocol/referral processes. HA support was available to both intervention and comparison communities.

Measures

At each visit, blood pressure was measured three times and averaged for analyses. Self-reported physical activity, general mental health status, self-perceived chronic disease management, healthcare access, self-efficacy, and quality of life were assessed at each time point.

Statistical Analysis

Group differences in demographics, health insurance, and general health characteristics were compared using chi-square tests. Between-group differences in changes in outcome measures from baseline to follow-up were assessed using mixed models for continuous outcomes and generalized estimating equations for categorical outcomes. Each model included time (baseline, follow up); group (intervention, comparison); and their interaction term. Models adjusted for baseline age to account for older average age among intervention participants and conducted using SAS, version 9.2, or Stata, version 12. Analyses were conducted in 2016.

Results

Needs assessment survey results confirmed no statistically significant differences in aggregate demographics, health insurance status/type, self-reported health, or health behaviors between residents in intervention and comparison developments (Appendix, available online). Prevalence of targeted health conditions (hypertension, diabetes, and asthma) was also similar. Despite comparable aggregate demographic/health status profiles between residents in intervention and comparison developments, participants who enrolled into the intervention were significantly older than those enrolled in the comparison group (Figure 1). A greater proportion of intervention participants self-reported a hypertension diagnosis (87% vs 71%, p=0.001) and being diagnosed with all three reported conditions (18% vs 11%, p=0.056), but a lower proportion reported having diagnosed asthma (38% vs 50%, p=0.045). The intervention group experienced greater attrition (11%) between baseline and follow-up than the comparison group (3%), with a total response rate of 93%. Analyses were based on 199 intervention and 171 comparison participants with follow-up information, adjusting for between-group age differences.
Figure 1

Participant CONSORT diagram for longitudinal evaluation of HHAP intervention, East Harlem, New York City, 2015.

Note: Boldface indicates statistical significance (p<0.05).

aHealth conditions are adjusted for age. HHAP, Harlem Health Advocacy Partnership.

Nearly all (90%) intervention participants reported high satisfaction with their CHW and most (76%) established personal goals at follow-up. Measured clinical outcomes did not improve in intervention versus comparison participants over time (Table 1). At follow-up, however, intervention participants reported greater improvements in physical activity than comparison participants (p=0.005), and those with hypertension reported greater improvements in self-monitoring of blood pressure (p=0.013). Intervention participants were also more likely to receive help from an HA in solving health insurance problems (p=0.019, not shown). Of those receiving HA support, 97% found services helpful. Compared with comparison participants, intervention participants were more likely to report at follow-up having changed their health insurance or insurance status (11% vs 4%, p=0.009), and to report having changed their personal doctor (14% vs 6%, p=0.024). Open-ended responses confirmed high satisfaction with the program (Appendix, available online).
Table 1

Behavioral and Clinical Outcomes at Baseline and at 3-Month Follow-Up, Intervention Versus Comparison Group: East Harlem, New York City, 2015

Intervention group (n=199)Comparison group (n=171)Estimated between-group difference
OutcomeBaseline3-month FUp-valueBaseline3-month FUp-valueDifference (95% CI)p-value
Measured clinical outcomes, M (SD)
 Systolic blood pressure (SBP)132.8 (21.3)133.0 (22.1)0.866128.8 (20.8)124.3 (19.4)0.0043.79(-0.14, 7.72)0.059
 Diastolic blood pressure (DBP)82.6 (12.3)83.9 (13.7)0.27482.4 (12.3)81.1 (12.5)0.1062.32(-0.05, 4.69)0.055
 BMI33.5 (7.8)33.7 (8.2)0.41534.3 (8.6)34.1 (8.2)0.1020.39(-0.05, 0.82)0.082
Self-reported behaviors, M (SD)
 Average number of days of physical activity, past 2 weeks4.6 (5.1)6.6 (5.8)<0.0015.7 (5.6)5.9 (5.6)0.8401.90(0.58, 3.23)0.005
General health
 % reporting mental health status as “Excellent,” “Very good,” or “Good”56.769.00.02570.066.50.9720.12(-0.10, 0.34)0.303
Hypertension management
 % reporting they are managing their hypertension well80.588.80.01985.186.70.7810.07(-0.03, 0.17)0.149
 % with diagnosed hypertension at baseline who routinely measure their own blood pressure45.660.70.00144.343.80.8970.15(0.03, 0.26)0.013
Diabetes management
 % reporting they are managing their diabetes well65.780.00.01175.084.50.0730.05(-0.09, 0.18)0.504
 % with diagnosed diabetes at baseline who routinely measure their glycemic levels74.072.10.66263.259.20.5610.02(-0.12, 0.16)0.819
Asthma management
 % reporting they are managing their asthma well87.579.70.15185.082.40.589-0.05(-0.19, 0.09)0.491

Note: Boldface indicates statistical significance (p<0.05). Absolute difference is shown for blood pressure, BMI, and average days of physical activity in the estimated between-group difference column. Difference in % improved is shown for percentage-based outcomes.

FU, follow-up.

Discussion

This evaluation of a publicly funded, place-based CHW initiative found using locally recruited CHWs and facilitated referrals to HAs to be well received by low-income housing residents and effective at rapidly improving services navigation, self-reported physical activity, and self-management behaviors. Findings are consistent with literature suggesting that CHW programs generally achieve positive outcomes for chronic disease prevention and self-management when supportive relationships with patients are developed,[7,12,13] and high satisfaction levels and risk reduction can be achieved when programs established in public housing settings use residents as workers.[5,6] In early intervention months, it was challenging to improve clinical outcomes. Other studies have documented challenges in improving clinical outcomes, depending heavily on integration with clinical services, dose, and intervention standardization.[14,15]

Limitations

Findings should be interpreted while being mindful of key limitations. First, this was a controlled quasi-experiment; participants in treatment and control groups were not randomly selected. Intervention participants were older and in worse health than comparison participants, reducing the effectiveness of the comparison proxy group. Second, sample size limited the statistical power to detect differences.

Conclusions

These findings demonstrate the feasibility of a municipal health department leading a place-based CHW/HA intervention targeting multiple chronic conditions using public funds, catalyzed by multisector partnerships. Findings also stress the importance of collective monitoring of early results, which, for this project, has yielded increased attention to building formal clinical integration mechanisms and improved documentation of intervention fidelity. Such innovative models inform and align with Medicaid Expansion and other policy efforts designed to more effectively link communities to care.
  8 in total

1.  Application of a CBPR framework to inform a multi-level tobacco cessation intervention in public housing neighborhoods.

Authors:  Jeannette O Andrews; Martha S Tingen; Stacey Crawford Jarriel; Maudesta Caleb; Alisha Simmons; Juanita Brunson; Martina Mueller; Jasjit S Ahluwalia; Susan D Newman; Melissa J Cox; Gayenell Magwood; Christina Hurman
Journal:  Am J Community Psychol       Date:  2012-09

Review 2.  Systematic review of physical activity promotion by community health workers.

Authors:  Evelyn Fabiana Costa; Paulo Henrique Guerra; Taynã Ishii Dos Santos; Alex Antonio Florindo
Journal:  Prev Med       Date:  2015-08-20       Impact factor: 4.018

3.  A randomized community trial to increase mammography utilization among low-income women living in public housing.

Authors:  J S Slater; C N Ha; M E Malone; P McGovern; S D Madigan; J R Finnegan; A L Casey-Paal; K L Margolis; N Lurie
Journal:  Prev Med       Date:  1998 Nov-Dec       Impact factor: 4.018

4.  Enhancing physical and social environments to reduce obesity among public housing residents: rationale, trial design, and baseline data for the Healthy Families study.

Authors:  Lisa M Quintiliani; Michele A DeBiasse; Jamie M Branco; Sarah Gees Bhosrekar; Jo-Anna L Rorie; Deborah J Bowen
Journal:  Contemp Clin Trials       Date:  2014-08-17       Impact factor: 2.226

Review 5.  Outcomes of community health worker interventions.

Authors:  Meera Viswanathan; Jennifer Kraschnewski; Brett Nishikawa; Laura C Morgan; Patricia Thieda; Amanda Honeycutt; Kathleen N Lohr; Dan Jonas
Journal:  Evid Rep Technol Assess (Full Rep)       Date:  2009-06

Review 6.  Effectiveness of community health workers in the care of people with hypertension.

Authors:  J Nell Brownstein; Farah M Chowdhury; Susan L Norris; Tanya Horsley; Leonard Jack; Xuanping Zhang; Dawn Satterfield
Journal:  Am J Prev Med       Date:  2007-05       Impact factor: 5.043

Review 7.  Community health worker interventions to improve access to health care services for older adults from ethnic minorities: a systematic review.

Authors:  Ilona Verhagen; Bas Steunenberg; Niek J de Wit; Wynand J G Ros
Journal:  BMC Health Serv Res       Date:  2014-11-13       Impact factor: 2.655

Review 8.  Community Interventions to Improve Glycemic Control in African Americans with Type 2 Diabetes: A Systemic Review.

Authors:  Brittany L Smalls; Rebekah J Walker; Heather S Bonilha; Jennifer A Campbell; Leonard E Egede
Journal:  Glob J Health Sci       Date:  2015-02-24
  8 in total
  10 in total

1.  Housing-Based Health Interventions: Harnessing the Social Utility of Housing to Promote Health.

Authors:  Diana Hernández
Journal:  Am J Public Health       Date:  2019-02       Impact factor: 9.308

Review 2.  Community Health Workers in Action: Community-Clinical Linkages for Diabetes Prevention and Hypertension Management at 3 Community Health Centers.

Authors:  David A Stupplebeen; Tetine L Sentell; Catherine M Pirkle; Bryan Juan; Alexis T Barnett-Sherrill; Joseph W Humphry; Sheryl R Yoshimura; Jasmin Kiernan; Claudia P Hartz; L Brooke Keliikoa
Journal:  Hawaii J Med Public Health       Date:  2019-06

3.  Promoting Physical Activity Among Immigrant Asian Americans: Results from Four Community Health Worker Studies.

Authors:  Laura C Wyatt; Carina Katigbak; Lindsey Riley; Jennifer M Zanowiak; Rhodora Ursua; Simona C Kwon; Chau Trinh-Shevrin; Nadia S Islam
Journal:  J Immigr Minor Health       Date:  2022-10-23

4.  Secondhand smoke exposure in public and private high-rise multiunit housing serving low-income residents in New York City prior to federal smoking ban in public housing, 2018.

Authors:  Elle Anastasiou; Alexis Feinberg; Albert Tovar; Emily Gill; M J Ruzmyn Vilcassim; Katarzyna Wyka; Terry Gordon; Ana M Rule; Sue Kaplan; Brian Elbel; Donna Shelley; Lorna E Thorpe
Journal:  Sci Total Environ       Date:  2019-11-21       Impact factor: 7.963

Review 5.  Community Outreach to African-Americans: Implementations for Controlling Hypertension.

Authors:  Samar A Nasser; Keith C Ferdinand
Journal:  Curr Hypertens Rep       Date:  2018-04-10       Impact factor: 5.369

6.  Community Health Worker Intervention in Subsidized Housing: New York City, 2016-2017.

Authors:  Amy L Freeman; Tianying Li; Sue A Kaplan; Ingrid Gould Ellen; Marc N Gourevitch; Ashley Young; Kelly M Doran
Journal:  Am J Public Health       Date:  2020-03-19       Impact factor: 9.308

7.  The Neighborhood as a Unit of Change for Health: Early Findings from the East Harlem Neighborhood Health Action Center.

Authors:  Rachel Dannefer; Barbara C Wong; Padmore John; Jaime Gutierrez; La'Shawn Brown-Dudley; Kim Freeman; Calpurnyia Roberts; Elana Martins; Ewel Napier; Philip Noyes; Hannah Seoh; Jane Bedell; Cassiopeia Toner; Torian Easterling; Javier Lopez; Noel Manyindo; Karen Aletha Maybank
Journal:  J Community Health       Date:  2019-08-26

8.  Scaling a Community-Wide Campaign Intervention to Manage Hypertension and Weight Loss.

Authors:  Belinda M Reininger; Lisa A Mitchell-Bennett; MinJae Lee; Paul G Yeh; Amanda C Davé; Soo Kyung Park; Tianlin Xu; Alma G Ochoa-Del Toro
Journal:  Front Med (Lausanne)       Date:  2021-11-22

9.  Implementation Facilitators and Challenges of a Place-Based Intervention to Reduce Health Disparities in Harlem Through Community Activation and Mobilization.

Authors:  Nancy VanDevanter; Lynna Zhong; Rachel Dannefer; Noel Manyindo; Sterling Walker; Victor Otero; Kimberly Smith; Rose Keita; Lorna Thorpe; Elizabeth Drackett; Lois Seidl; La'Shawn Brown-Dudley; Katherine Earle; Nadia Islam
Journal:  Front Public Health       Date:  2022-04-26

10.  Evaluation of Secondhand Smoke Exposure in New York City Public Housing After Implementation of the 2018 Federal Smoke-Free Housing Policy.

Authors:  Lorna E Thorpe; Elle Anastasiou; Katarzyna Wyka; Albert Tovar; Emily Gill; Ana Rule; Brian Elbel; Sue A Kaplan; Nan Jiang; Terry Gordon; Donna Shelley
Journal:  JAMA Netw Open       Date:  2020-11-02
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.