Dataset Information

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

ABSTRACT:

Objective

To assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs).

Study setting

Community health centers within the 50 states and Washington, DC.

Study design

Estimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit.

Data collection

2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011.

Principal findings

Having an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians.

Conclusions

Electronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider.

SUBMITTER: Frogner BK

PROVIDER: S-EPMC5269546 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

Frogner Bianca K BK Wu Xiaoli X Park Jeongyoung J Pittman Patricia P

Health services research 20170201

<h4>Objective</h4>To assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs).<h4>Study setting</h4>Community health centers within the 50 states and Washington, DC.<h4>Study design</h4>Estimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit.<h4>Data collecti ...[more]

PMID: 28127772

Similar Datasets

Project description:BackgroundFederal initiatives are underway that provide physicians with financial incentives for meaningful use (MU) of electronic health records (EHRs) and assistance to purchase and implement EHRs.ObjectiveWe sought to examine readiness and interest in MU among primary care physicians and specialists, and identify factors that may affect their readiness to obtain MU incentives.Design/participantsWe analyzed 4 years of data (2008-2011) from the National Ambulatory Medical Care Survey (NAMCS) Electronic Medical Record (EMR) Supplement, an annual cross-sectional nationally representative survey of non-federally employed office-based physicians.Main measuresSurvey-weighted EHR adoption rates, potential to meet selected MU criteria, and self-reported intention to apply for MU incentives. We also examined the association between physician and practice characteristics and readiness for MU.Key resultsThe overall sample consisted of 10,889 respondents, with weighted response rates of 62 % (2008); 74 % (2009); 66 % (2010); and 61 % (2011). Primary care physicians' adoption of EHRs with the potential to meet MU nearly doubled from 2009 to 2011 (18 % to 38 %, p<0.01), and was significantly higher than specialists (19 %) in 2011 (p<0.01). In 2011, half of physicians (52 %) expressed their intention to apply for MU incentives; this did not vary by specialty. Multivariate analyses report that EHR adoption was significantly higher in both 2010 and 2011 compared to 2009, and primary care physicians and physicians working in larger or multi-specialty practices or for HMOs were more likely to adopt EHRs with the potential to meet MU.ConclusionsPhysician EHR adoption rates increased in advance of MU incentive payments. Although interest in MU incentives did not vary by specialty, primary care physicians had significantly higher rates of adopting EHRs with the potential to meet MU. Addressing barriers to EHR adoption, which may vary by specialty, will be important to enhancing coordination of care.

Dataset Information

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

Objective

Study setting

Study design

Data collection

Principal findings

Conclusions

Publications

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets