Primary care practice-based interventions and their effect on participation in population-based cancer screening programs: a systematic narrative review

AIM

To provide a systematic synthesis of primary care practice-based interventions and their effect on participation in population-based cancer screening programs.

BACKGROUND

Globally, population-based cancer screening programs (bowel, breast, and cervical) have sub-optimal participation rates. Primary healthcare workers (PHCWs) have an important role in facilitating a patient's decision to screen; however, barriers exist to their engagement. It remains unclear how to best optimize the role of PHCWs to increase screening participation.

METHODS

A comprehensive search was conducted from January 2010 until November 2023 in the following databases: Medline (OVID), EMBASE, and CINAHL. Data extraction, quality assessment, and synthesis were conducted. Studies were separated by whether they assessed the effect of a single-component or multi-component intervention and study type.

FINDINGS

Forty-nine studies were identified, of which 36 originated from the USA. Fifteen studies were investigations of single-component interventions, and 34 studies were of multi-component interventions. Interventions with a positive effect on screening participation were predominantly multi-component, and most included combinations of audit and feedback, provider reminders, practice-facilitated assessment and improvement, and patient education across all screening programs. Regarding bowel screening, provision of screening kits at point-of-care was an effective strategy to increase participation. Taking a 'whole-of-practice approach' and identifying a 'practice champion' were found to be contextual factors of effective interventions.The findings suggest that complex interventions comprised of practitioner-focused and patient-focused components are required to increase cancer screening participation in primary care settings. This study provides novel understanding as to what components and contextual factors should be included in primary care practice-based interventions.

Measured Performance and Vaccine Administration After Decision Support and Office Workflow Changes for Influenza Vaccination

Influenza vaccination is underused. We examined changes in vaccination following decision support and workflow changes in a cross-sectional analysis of three vaccination seasons among adult primary care patients from 21 practices. Interventions included clinical decision support changes to facilitate documentation; changes to rooming workflow for medical assistants and licensed practical nurses to promote vaccination, prepare orders, document care done elsewhere; and record patient refusals. We measured rates for a national vaccination performance measure and receipt of onsite vaccination. Approximately 120,000 patients were eligible each season. Performance on the quality measure increased each year (40.6% to 62.5% to 76.4%). Corresponding rates of onsite vaccination were 27.7%, 28.8%, and 31.5%. The adjusted odds ratio for onsite vaccination in the second season compared with the first was 0.94 (95% confidence interval [CI] 0.92, 0.96). Onsite vaccination was more likely in the third season compared with either previous season-adjusted odds ratio for third versus second 1.14 (95% CI, 1.12, 1.16) or adjusted odds ratio for third versus first 1.07 (95% CI 1.05-1.09). Sequential changes in decision support and patient rooming process workflows were associated with large improvements in measured performance and with a significant increase in clinic-administered influenza vaccination by the third season.

Meaningful Use of Electronic Health Records and Ambulatory Healthcare Quality Measures

Introduction

Electronic Health Record (EHR) adoption rates for office-based physicians doubled between 2008 and 2015, from 42% to 89%, and more than 60% of all office-based physicians achieved meaningful use by 2016. The US government has paid billions of dollars in incentives to promote EHR meaningful use. Nonetheless, evidence linking EHR meaningful use to quality measures improvements is limited.

Objective

This study aims to examine the relationship between EHR meaningful use and capabilities among four quality measures in an ambulatory healthcare setting.

Study design

A cross-sectional study design of the 2015-2016 National Ambulatory Medical Care Survey dataset.

Methods

We used adjusted multivariate regression models to examine associations between (a) EHR meaningful use and (b) 10 EHR-computerized capabilities, with four quality measures (blood pressure screening, tobacco use screening, obesity screening, and obesity education).

Results

We analyzed 30,787 office visits, representing an annual estimate of 680 million national office visits. Results showed that 95% of visits were to offices meeting EHR meaningful use criteria. We found one positive association between EHR meaningful use and obesity screening (OR= 3.5, 95% CI [1.742-6.917]). We also found eight positive associations between EHR capabilities and three quality measures (screening for blood pressure and obesity, and obesity education). These associations included five EHR-computerized capabilities: “record patient problem list”, “view lab results”, “Reminders for interventions/screening”, “Order lab results” and “Recording clinical notes”. No EHR capability was associated with screening for tobacco use.

Conclusions

We looked at a handful of screening-oriented quality measures in ambulatory healthcare and found limited associations with EHR meaningful use but multiple positively significant associations with EHR capabilities. Although EHR meaningful use has become more commonly used, offering substantial administrative efficiency over paper records, current patterns of EHR meaningful use do not always appear to translate into a better quality of care in physician offices. However, quality measures used represent limited procedures for a handful of specific conditions and not the overall healthcare aspect.

Meaningful Use: Does Physician Participation Move the Needle on Quality Metrics?

INTRODUCTION

To determine the association between pattern of participation in the Meaningful Use (MU) initiative and self-reported clinical quality metrics.

METHODS

We used state-level Medicaid electronic health record (EHR) incentive program data to categorize physicians based on receipt of MU payments (single year vs. multiple years) and self-reported quality metrics from 2011 to 2016.

RESULTS

Among 4,198 participating physicians, only 36% received more than one EHR incentive payment. Physicians participating for a single year had better cancer-screening metrics. By comparison, physicians who participated for multiple years reported better medication-related metrics and chronic disease management metrics.

CONCLUSIONS

Nature of participation may have varying degrees of influence on types of clinical quality metrics. Sustained participation may support management of chronic conditions. Administrative claims data will help to elucidate our findings.

Hospital participation in Meaningful Use and racial disparities in readmissions

OBJECTIVES

To measure the impact of hospital participation in Meaningful Use (MU) on disparities in 30-day readmissions associated with race.

STUDY DESIGN

A retrospective cohort study that compared the likelihood of 30-day readmission for Medicare beneficiaries discharged from hospitals participating in Stage 1 of MU with the likelihood of readmission for beneficiaries concurrently discharged from hospitals that were not participating in the initiative.

METHODS

Inpatient claims for 2,414,205 Medicare beneficiaries from Florida, New York, and Washington State were used as the primary data source. The study period (2009-2013) included at least 2 years of baseline data prior to each hospital initiating participation in MU. Estimates were derived with linear regression models that included hospital and time fixed effects. By including both hospital and time fixed effects, estimates were based on discharges from the same hospital in the same time period.

RESULTS

MU participation among hospitals was not associated with a statistically significant change in readmissions for the broader Medicare population (percentage points [PP], 0.6; 95% CI, -0.2 to 1.4), but hospitals' participation in the initiative was associated with a lower likelihood of readmission for African American beneficiaries (PP, -0.9; 95% CI, -1.5 to -0.4).

CONCLUSIONS

Hospital participation in MU reduced disparities in 30-day readmissions for African American Medicare beneficiaries.