Evidence map›Paper›PMID 31326008›Full record

ArticleAmerican journal of preventive medicine2019

Use of a Preventive Index to Examine Clinic-Level Factors Associated With Delivery of Preventive Care.

Brigit A Hatch, Carrie J Tillotson, Nathalie Huguet, Megan J Hoopes, Miguel Marino, Jennifer E DeVoe

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
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

6 authors.

Brigit A HatchDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon; OCHIN, Inc., Portland, Oregon. Electronic address: adamusb@ohsu.edu.
Carrie J TillotsonOCHIN, Inc., Portland, Oregon.
Nathalie HuguetDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Megan J HoopesOCHIN, Inc., Portland, Oregon.
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon; Biostatistics Group, Portland State University School of Public Health, Oregon Health & Science University, Portland, Oregon.
Jennifer E DeVoeDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon; OCHIN, Inc., Portland, Oregon.

Funding

Community-based HIT Tools for Cancer Screening and Health Insurance PromotionR01CA181452 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2014 to 2018
$3.1M
Evaluating Control of Hypertension - Effect of Social Determinants (ECHOES)R01HL136575 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2018 to 2021
$2.5M
ACCESS: Assessing Community Cancer care after insurance ExpanSionSR01CA204267 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2016 to 2020
$2.0M
Post Affordable Care Act: Evaluation of Community Health Centers (PACE)R01HS024270 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2015 to 2016
$796k
AHRQ HHS R01 HS024270NCI NIH HHS R01 CA181452NCI NIH HHS R01 CA204267NHLBI NIH HHS R01 HL136575
6 · The paper itself

Abstract

introductionThere is an increasing need for the development of new methods to understand factors affecting delivery of preventive care. This study applies a new measurement approach and assesses clinic-level factors associated with preventive care delivery.

methodsThis retrospective longitudinal cohort study of 94 community health centers used electronic health record data from the OCHIN community health information network, 2014-2015. Clinic-level preventive ratios (time covered by a preventive service/time eligible for a preventive service) were calculated in 2017 for 12 preventive services with A or B recommendations from the U.S. Preventive Services Task Force along with an aggregate preventive index for all services combined. For each service, multivariable negative binomial regression modeling and calculated rate ratios assessed the association between clinic-level variables and delivery of care.

resultsOf ambulatory community health center visits, 59.8% were Medicaid-insured and 10.4% were uninsured. Ambulatory community health centers served 16.9% patients who were Hispanic, 13.1% who were nonwhite, and 68.7% who had household incomes <138% of the federal poverty line. Clinic-level preventive ratios ranged from 3% (hepatitis C screening) to 93% (blood pressure screening). The aggregate preventive index including all screening measures was 47% (IQR, 42%-50%). At the clinic level, having a higher percentage of uninsured visits was associated with lower preventive ratios for most (7 of 12) preventive services.

conclusionsApproaches that use individual preventive ratios and aggregate prevention indices are promising for understanding and improving preventive service delivery over time. Health insurance remains strongly associated with access to needed preventive care, even for safety net clinic populations.

Indexed as

PovertyAdultCommunity Health CentersDelivery of Health CareElectronic Health RecordsFemaleHumansLongitudinal StudiesMaleMedicaidMedically UninsuredModels, StatisticalPreventive Health ServicesRetrospective StudiesUnited States

Identifiers

PMID31326008
PMCPMC6684138

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.