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Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

ABSTRACT: BACKGROUND:Physicians "purchase" many health care services on behalf of patients yet remain largely unaware of the costs of these services. Electronic health record (EHR) cost displays may facilitate cost-conscious ordering of health services. OBJECTIVE:To determine whether displaying hospital lab and imaging order costs is associated with changes in the number and costs of orders placed. DESIGN:Quasi-experimental study. PARTICIPANTS:All patients with inpatient or observation encounters across a multi-site health system from April 2013 to October 2015. INTERVENTION:Display of order costs, based on Medicare fee schedules, in the EHR for 1032 lab tests and 1329 imaging tests. MAIN MEASURES:Outcomes for both lab and imaging orders were (1) whether an order was placed during a hospital encounter, (2) whether an order was placed on a given patient-day, (3) number of orders placed per patient-day, and (4) cost of orders placed per patient-day. KEY RESULTS:During the lab and imaging study periods, there were 248,214 and 258,267 encounters, respectively. Cost display implementation was associated with a decreased odds of any lab or imaging being ordered during the encounter (lab adjusted odds ratio [AOR]?=?0.97, p =?.01; imaging AOR?=?0.97, p

SUBMITTER: Silvestri MT

PROVIDER: S-EPMC6082197 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

Silvestri Mark T MT Xu Xiao X Long Theodore T Bongiovanni Tasce T Bernstein Steven L SL Chaudhry Sarwat I SI Silvestri Julia I JI Stolar Marilyn M Greene Erich J EJ Dziura James D JD Gross Cary P CP Krumholz Harlan M HM

Journal of general internal medicine 20180529 8

<h4>Background</h4>Physicians "purchase" many health care services on behalf of patients yet remain largely unaware of the costs of these services. Electronic health record (EHR) cost displays may facilitate cost-conscious ordering of health services.<h4>Objective</h4>To determine whether displaying hospital lab and imaging order costs is associated with changes in the number and costs of orders placed.<h4>Design</h4>Quasi-experimental study.<h4>Participants</h4>All patients with inpatient or ob ...[more]

PMID: 29845468

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Project description:BackgroundRedundant use of diagnostic tests in primary care has shown to be a contributor to rising Dutch healthcare costs. A price display in the test ordering system of the electronic health records (EHRs) could potentially be a low-cost and easy to implement intervention to a decrease in test ordering rate in the primary care setting by creating more cost-awareness among general practitioners (GPs). The aim of this study was to assess the effect of a price display for diagnostic laboratory tests in the EHR on laboratory test ordering behavior of GPs in the Westelijke Mijnstreek region in the Netherlands.MethodsA pre-post intervention study among 154 GPs working in 57 general practices was conducted from September 2019, until March 2020, in the Netherlands. The intervention consisted of displaying the costs of 22 laboratory tests at the time of ordering. The primary outcome was the mean test ordering rate per 1.000 patients per month, per general practice.ResultsTest ordering rates were on average rising prior to the intervention. The total mean monthly test order volume showed a non-statistically significant interruption in this rising trend after the intervention, with the mean monthly test ordering rate levelling out from 322.4 to 322.2 (P = 0.86). A subgroup analysis for solely individually priced tests showed a statistically significant decrease in mean monthly test ordering rate after implementation of the price display for the sum of all tests from 67.2 to 63.3 (P = 0.01), as well as for some of these tests individually (i.e. thrombocytes, ALAT, TSH, folic acid). Leucocytes, ESR, vitamin B12, anti-CCP and NT-proBNP also showed a decrease, albeit not statistically significant (P > 0.05).ConclusionsOur study suggests that a price display intervention is a simple tool that can alter physicians order behavior and constrain the expanding use of laboratory tests. Future research might consider alternative study designs and a longer follow-up period. Furthermore, in future studies, the combination with a multitude of interventions, like educational programs and feedback strategies, should be studied, while potentially adverse events caused by reduced testing should also be taken into consideration.

Project description:BackgroundThe elicitation of contact information, notification and testing of sex partners of HIV infected patients (aPS), is an effective HIV testing strategy in low-income settings but may not necessarily be affordable. We applied WHO guidelines and the International Society for Pharmaco-economics and Outcomes Research (ISPOR) guidelines to conduct cost and budget impact analyses, respectively, of aPS compared to current practice of HIV testing services (HTS) in Kisumu County, Kenya.MethodsUsing study data and time motion studies, we constructed an Excel-based tool to estimate costs and the budget impact of aPS. Cost data were collected from selected facilities in Kisumu County. We report the annual total and unit costs of HTS, incremental total and unit costs for aPS, and the budget impact of scaling up aPS over a 5-year horizon. We also considered a task-shifted scenario that used community health workers (CHWs) rather than facility based health workers and conducted sensitivity analyses assuming different rates of scale up of aPS.ResultsThe average unit costs for HIV testing among HIV-infected index clients was US$ 25.36 per client and US$ 17.86 per client using nurses and CHWs, respectively. The average incremental costs for providing enhanced aPS in Kisumu County were US$ 1,092,161 and US$ 753,547 per year, using nurses and CHWs, respectively. The average incremental cost of scaling up aPS over a five period was 45% higher when using nurses compared to using CHWs (US$ 5,460,837 and US$ 3,767,738 respectively). Over the five years, the upper-bound budget impact of nurse-model was US$ 1,767,863, 63% and 35% of which were accounted for by aPS costs and ART costs, respectively. The CHW model incurred an upper-bound incremental cost of US$ 1,258,854, which was 71.2% lower than the nurse-based model. The budget impact was sensitive to the level of aPS coverage and ranged from US$ 28,547 for 30% coverage using CHWs in 2014 to US$ 1,267,603 for 80% coverage using nurses in 2018.ConclusionScaling aPS using nurses has minimal budget impact but not cost-saving over a five-year period. Targeting aPS to newly-diagnosed index cases and task-shifting to community health workers is recommended.

Project description:ImportanceClinicians who order unnecessary radiographic imaging may cause financial harm to patients who have increasing levels of cost sharing. Clinician predictors of low-value imaging are largely unknown.ObjectiveTo characterize clinician predictors of low-value imaging for acute uncomplicated back pain and headache, including clinicians who saw both conditions.Design, setting, and participantsMultivariate logistic regression modeling of imaging rates after acute uncomplicated back pain and headache visits as indicated by January 2010 to December 2014 commercial insurance claims and demographic data from a large US health insurer. Participants included 100 977 clinicians (primary care physicians, specialist physicians, and chiropractors).Main outcomes and measuresImaging after acute uncomplicated back pain and headache visits was recorded. We identified whether the clinician's prior patient received imaging, whether the clinician was an owner of imaging equipment, and the varying impact by clinician specialty. We then used high rates of low-value back imaging as a predictor for low-value headache imaging.ResultsClinicians conducted 1 007 392 visits for 878 720 adults ages 18 to 64 years with acute uncomplicated back pain; 52 876 primary care physicians conducted visits for 492 805 adults ages 18 to 64 years with acute uncomplicated headache; 34 190 primary care clinicians conducted 405 721 visits for 344 991 adults ages 18 to 64 years with headache and had also conducted at least 4 visits from patients with back pain. If a primary care physician's prior patient received low-value back imaging, the patient had 1.81 higher odds of low-value imaging (95% CI, 1.77-1.85). This practice effect was larger for chiropractors (odds ratio [OR], 2.80; 95% CI, 2.74-2.86) and specialists (OR, 2.98; 95% CI, 2.88-3.07). For headache, a prior low-value head image predicted 2.00 higher odds of a subsequent head imaging order (95% CI, 1.95-2.06). Clinician ownership of imaging equipment was a consistent independent predictor of low-value imaging (OR, 1.65-7.76) across clinician type and imaging scenario. Primary care physicians with the highest rates of low-value back imaging also had 1.53 (95% CI, 1.45-1.61) higher odds of ordering low-value headache imaging.Conclusions and relevanceClinician characteristics such as ordering low-value imaging on a prior patient, high rates of low-value imaging in another clinical scenario, and ownership of imaging equipment are strong predictors of low-value back and headache imaging. Findings should inform policies that target potentially unnecessary and financially burdensome care.

Dataset Information

Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

Publications

Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

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