A closer look at the recent VA wait time audit

In May 2014, VA launched the Accelerating Access to Care Initiative, a nation-wide program to ensure timely access to care. As part of the Initiative, the VHA identified Veterans across the system experiencing long waits.  The VA also published a 50 page report on the delays experienced by VA patients.  Among the findings, they found:

1. The VA scheduling system  resulted in confusion among
scheduling clerks and front-line supervisors.

2. Meeting a 14-day wait-time performance target for new appointments was simply
not attainable

3. The concept of “desired date” is a scheduling practice unique to VA, and difficult
to reconcile against more accepted practices such as negotiating a specific
appointment date based on provider availability, or using a “return to clinic”
interval requested by providers.

4. . Overall, 13 percent of scheduling staff interviewed indicated they received
instruction (from supervisors or others) to enter in the “desired date” field a date
different from the date the Veteran had requested. At least one instance of such
practices was identified in 76 percent of VA facilities. In certain instances this
may be appropriate (e.g., a provider-directed date can, under VA policy, override
a date specified by a patient), but the survey did not distinguish this, nor did it
determine whether this was done through lack of understanding or malintent
unless it was clearly apparent.

5. Eight percent of scheduling staff indicated they used alternatives to the Electronic
Wait List (EWL) or Veterans Health Information Systems and Technology
Architecture (VistA) package. At least one of such instance was identified in 70
percent of facilities. As with desired date practices, we did not probe the extent
to which some of these alternatives might have been justified under VA policy.
The questionnaire employed did not isolate appropriate uses of external lists.

6. Findings indicate that in some cases, pressures were placed on schedulers to
utilize inappropriate practices in order to make waiting times (based on desired
date, and the waiting lists), appear more favorable. Such practices are
sufficiently pervasive to require VA re-examine its entire performance
management system and, in particular, whether current measures and targets for
access are realistic or sufficient.

7. Staffing challenges were identified in small CBOCs, especially where there were
small counts of providers or administrative support.

Related Posts

Posted by Matt Rigling | U.S. Economy

STATA statistical code for estimation of Millimet et al. (2002) econometric worklife model

The STATA code for estimating the Millimet et a;. (2002) econometric worklife model can be found below. The code  will need to be adjusted to fit your purposes. However, the […]

Posted by Matt Rigling | U.S. Economy

A narrative description of the Millimet et. al (2002) econometric worklife model

The following describes the approach used by Millimet et al (2002) to estimate U.S. worker worklife expectancy. The pdf version can be found here: Millimet (2002) Methodology Description  Methodology First, transition […]

Posted by Matt Rigling | U.S. Economy

Big BLS employment data, disability, and worklife expectancy

Big Data. Bureau of Labor Statistics. Survey data. Employment Big Data.  Those are all things that calculating worklife expectancy for U.S. workers requires.  Worklife expectancy is similar to life expectancy and […]

Posted by Matt Rigling | BLS Data | Earnings | Industry | U.S. Economy | Wage and hour cases

FLSA OT report for individuals working in Derrick, rotary drill, and services unit operators, oil, gas, and mining occupations

In this post, we look at the weekly overtime (OT) hours typically worked by those who work in Derrick, rotary drill, and services unit operators, oil, gas, and mining occupations. Many […]

Posted by Matt Rigling | U.S. Economy

Younger workers today have slightly less attachment to the workforce than younger workers in the past

Big Data. Bureau of Labor Statistics. Survey data. Employment Big Data.  Those are all things that calculating worklife expectancy for U.S. workers requires.  Worklife expectancy is similar to life expectancy and […]

Posted by Matt Rigling | BLS Data | Job openings | U.S. Economy

Elementary and Middle School Teachers experienced the largest increase of job openings nationwide for Dec

Elementary and Middle School teachers experienced the largest increase of new openings of all occupations in the US for the month of December with 4,017 new job openings. Month Occupation […]

Posted by Matt Rigling | U.S. Economy

Replication of the Millimet et al. (2002) work was sufficient and yielded similar results

Big Data. Bureau of Labor Statistics. Survey data. Employment Big Data.  Those are all things that calculating worklife expectancy for U.S. workers requires.  Worklife expectancy is similar to life expectancy and […]

Posted by Matt Rigling | BLS Data | Job openings | U.S. Economy

Tallahassee, FL experienced largest increase in job openings of all US MSAs for Dec

The Tallahassee, FL MSA (metropolitan statistical area) experienced the largest increase of job openings of all MSAs in the United States for the month of December with 155 new openings. Month MSA Total […]

Posted by Matt Rigling | BLS Data | Earnings | Industry | U.S. Economy | Wage and hour cases

FLSA OT report for individuals working in roofing occupations

In this post, we look at the weekly overtime (OT) hours typically worked by those who work in roofing occupations. Many of the employees that work in these jobs are not exempt […]

Posted by Matt Rigling | U.S. Economy

Steward and Gaylor (2015) Matched CPS Sample Sizes for 1993-2013 time period

Big Data. Bureau of Labor Statistics. Survey data. Employment Big Data.  Those are all things that calculating worklife expectancy for U.S. workers requires.  Worklife expectancy is similar to life expectancy and […]