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Tuesday, June 5, 2012

Waiting for Comprehensive Waiting-Time Stats

My print column explores the challenges facing medical watchdogs who want to assess how long patients must wait to get treatments, and evaluate programs designed to reduce delays.
The challenges were highlighted by a report out earlier this year from the U.S. Department of Veterans Affairs’ Office of Inspector General, which found that waiting times for mental-health appointments were longer than the VA’s internal statistics indicated.
The VA concurred with the assessment and has outlined a plan to address the shortcomings. One of them is a 25-year-old-scheduling system of the “blue-screen, roll-and-scroll” variety, according to Michael Davies, an internist and the VA’s acting director of high reliability systems and consultation. “The plan is to replace it,” Davies said. “In the last 25 years, there’s been a lot of work in the private sector on creating some really wonderful scheduling systems. So our plan is to buy one of those scheduling systems and adapt it for use in the VA” — if the agency gets funding to do it.
Gordon P. Erspamer, a San Francisco attorney who has represented veterans who have sued the VA for delaying treatment, said that even improved software wouldn’t be immune to false data that could be reported by staff members seeking to reduce waiting times artificially. “The problem is, when you have a system as complicated as this, there always are ways to tweak the numbers to make them look better,” Erspamer said.
Mary Schohn, director of the VA’s mental-health operations, said that anyone who falsifies data would be subject to “disciplinary actions.” She added, “That’s not a culture we want to engender within the VA.”
The U.K.’s National Health Service has gotten better at measuring waiting times from a few decades ago, when it counted only how many people were waiting for a procedure and not how long they wait, according to John Appleby, chief economist of the King’s Fund, an independent health think tank in London, and visiting professor at City University London. Yet controversies persist over how to present the data, and over their accuracy.
“Especially because the government has put a lot of pressure on reducing waiting times, I suspect there’s an issue with data quality,” Appleby said, emphasizing the importance of auditing and monitoring the numbers. “You may have what you think are good measures. Whether people are filling in forms correctly is another matter.”
As hard as it is for agencies to measure their own performance, it is far harder to compare agencies or countries on the basis of how long patients wait for treatment. “It would be terrific if we could get” waiting-time data for different health-care providers, said Anne-Marie Audet, vice president for health system quality and efficiency at the Commonwealth Fund, a New York foundation that aims to improve health care. “We don’t have that yet.”
Comparing countries can be even tougher, according to Luigi Siciliani, an economist at the University of York’s Centre for Health Economics, who has worked on such international comparisons. “Patients differ in their wait, so you have a distribution of waiting times,” Siciliani said. Governments report different measures: the mean, the median, the proportion of patients waiting more than x months/weeks. The waiting time of the patients at 90th percentile.” Also, even when data are available, it’s not always clear how to combine, say, waiting times on the order of months for a hip replacement, and of hours for emergency treatments such as surgery after hip fracture. “So, aggregation is a big issue,” Siciliani said.
Appleby hasn’t found comparable numbers between the U.K. and France — nor even between England and Scotland. “I’ve tried to do this myself,” he said. “We can’t even do it within the U.K.”


    • Just read your article on the wait times. Extremely interesting, and I would say just the start. I presently work for the VA and found this very salient AND very frustrating, b/c I just finished 80 chart reviews for the higher reviewers to find out if the schedulers are fudging the numbers, cooking the books, etc. I had completed the same chart reviews 6 months ago for the same reasons. Congress and Veteran Service Organizations are looking into the discrepancy between what the VET is saying from the VSOs and then what the higher level administrators are reporting.
      The VHA of course is stating that everything is all rosy and great, even though in reality the VETS are really getting a raw deal with long wait times especially for audiology and rehab medicine. The problem is that nobody who is in charge of the hospitals want to tell the truth because they will not get their bonuses and performance pay. People in the VHA who are leaders are not capable at this point of really keeping the VET in mind by telling everybody the truth. The truth is that VETS are waiting up to 2-3 months to get into speciality and also to get a PCP appt in high population areas.
      I could go on and on about how the statistics and the archaic appt menu system needs to be changed.
      It does not take a rocket scientist to look and ask the question: ‘why is everybody being seen within the 14 days of the desired date” , but the the third next available appt time is out 3 months? REALLY?
      I think a journalist like yourself could do every Veteran in this country a favor by doing some investigative reporting about this issue.
      The house of smoke and mirrors is alive and well, and of course charging the country for admission.
      Keep up the good work….the data is out there and you are smart enough to drill down to the reality of the situation! We need people like you.
    • I suppose that an imperfect measure of wait time is better than no measure at all. As long as people understand the limitations, it could still be useful. Certainly, the relative improvement (or the opposite) as a function of time could be observed. The airlines certainly attempt to game their arrival time performance, but there is still some value in the numbers. Of course, the wait time is but only a measure of the performance of the health care system. You could have a short wait time for an appointment, but what about the effectiveness of said appointment?

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