Evidence map›Paper›PMID 29567439›Full record

ArticlePreventive medicine2018

Preventive care utilization: Association with individual- and workgroup-level policy and practice perceptions.

Erika L Sabbath, Emily H Sparer, Leslie I Boden, Gregory R Wagner, Dean M Hashimoto, Karen Hopcia, Glorian Sorensen

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Erika L SabbathBoston College, School of Social Work, Chestnut Hill, MA, United States. Electronic address: erika.sabbath@bc.edu.
Emily H SparerCenter for Community-based Research, Dana-Farber Cancer Institute, Boston, MA, United States; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Leslie I BodenDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, United States.
Gregory R WagnerDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Dean M HashimotoWorkplace Health and Wellbeing, Partners HealthCare System, Boston, MA, United States; Boston College Law School, Chestnut Hill, MA, United States.
Karen HopciaWorkplace Health and Wellbeing, Partners HealthCare System, Boston, MA, United States.
Glorian SorensenCenter for Community-based Research, Dana-Farber Cancer Institute, Boston, MA, United States; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Boston College · USDana-Farber Cancer Institute · USBoston University · USHarvard University · USMass General Brigham · US

Funding

The Harvard TH Chan School of Public Health Center for Work, Health and WellbeingU19OH008861 · OH · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SORENSEN, GLORIAN C · 2007 to 2025
$23.9M
Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
Quantifying Economic & Health Effects of Psychosocial Workplace ExposuresK01OH010673 · OH · BOSTON COLLEGE · PI SABBATH, ERIKA LEHR · 2014 to 2016
$324k
ACL HHS U19OH008861NCI NIH HHS R25 CA057711NIOSH CDC HHS K01 OH010673NIOSH CDC HHS U19 OH008861
6 · The paper itself

Abstract

Preventive medical care may reduce downstream medical costs and reduce population burden of disease. However, although social, demographic, and geographic determinants of preventive care have been studied, there is little information about how the workplace affects preventive care utilization. This study examines how four types of organizational policies and practices (OPPs) are associated with individual workers' preventive care utilization. We used data collected in 2012 from 838 hospital patient care workers, grouped in 84 patient care units at two hospitals in Boston. Via survey, we assessed individuals' perceptions of four types of OPPs on their work units. We linked the survey data to a database containing detailed information on medical expenditures. Using multilevel models, we tested whether individual-level perceptions, workgroup-average perceptions, and their combination were associated with individual workers' preventive care utilization (measured by number of preventive care encounters over a two-year period). Adjusting for worker characteristics, higher individual-level perceptions of workplace flexibility were associated with greater preventive care utilization. Higher average unit-level perceptions of people-oriented culture, ergonomic practices, and flexibility were associated with greater preventive care utilization. Overall, we find that workplace policies and practices supporting flexibility, ergonomics, and people-oriented culture are associated with positive preventive care-seeking behavior among workers, with some policies and practices operating at the individual level and some at the group level. Improving the work environment could impact employers' health-related expenditures and improve workers' health-related quality of life.

Indexed as

Organizational PolicyPatient Acceptance of Health CarePerceptionPreventive MedicineAdultBostonFemaleHumansMiddle AgedOrganizational CulturePsychologyQuality of LifeSurveys and QuestionnairesWorkplaceHealth care utilizationOrganizational policiesPreventive health carePsychosocial factors

Identifiers

PMID29567439
PMCPMC6028933
OpenAlexW2791509671

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.