Increasing screening for osteoporosis Team 1 - 10/2013 Thanks to Georgia Carlson and N Topeka staff.

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Presentation transcript:

Increasing screening for osteoporosis Team /2013 Thanks to Georgia Carlson and N Topeka staff

Increasing screening for osteoporosis Increase parsable documentation of fulfillment of patient choice for screening by USPSTF osteoporosis guidelines by 25% within 3 months This is your operationalized version The elevator version is the project title

Baseline data Made by QI Tools at OpenCPU Sometimes only a single baseline measurement is available

Baseline: Fishbone or Ishikawa diagram (cause and effect diagram) Made by QI Tools at OpenCPU

Baseline flow chart Made by LucidCharts PNG file downloaded from Lucid

Process map: baseline (optional) Made by QI Tools at OpenCPU

Stakeholder analysis Stakeholder’s impression of barriers – Doctor.: Clarity of evidence-based guidelines for f/u – Nurse: Hassle to input dx of tobaccoism in EHR=multiple clicks Reluctance to persistently ask about smoking cessation Lack of knowledge regarding billing for counseling Stakeholder’s impression of benefits from improvement – Doctor: Better cessation rates/counseling=more $$ – Nurse: More likely to ask and document if aware of $$ Stakeholder’s impression of solutions – Doctor: All interventions seem reasonable and appropriate. – Nurse: Willing to try new EHR documentation, concern that “not willing to quit, not counseled” will not be used

Chart review We manually reviewed 50 charts for – Presence of asthma in promoted Problem lists Criterion: ICD9 Criterion: Excluded free text – Parsable documentation in Health Maintenance of PFTs/spiro with pre/post testing or methacholine challenge – Criterion: Excluded free-text entries – Scanned documents PFTs/spiro Presence of hyper-reactivity by pre/post testing or methacholine challenge

Pareto chart Made by QI Tools at OpenCPU Sometimes sorted bar-chart is better

Interventions March 2011 – All anticoag patients cared for by residents Single provider receives all results – Cypress patients Nurses verify doses when pt arrives for lab draw May 15, 2011 – All anticoag patients cared for by residents Registry for identified late patients June 8, 2011 – Cypress patients Point of care testing

Flow chart: revised Result is sent to Cypress Clinic PA contacts the patient Patient reports warfarin use and factors such as diet, medications, etc Warfarin dose adjusted INR f/u scheduled Blood is drawn POC for INR by lab or home health or other EHR queried weekly for pts without INR > 30d Patient contacted > 30 d Result entered into EHR Clinician & patient make decisions: Use Warfarin by Wichita nomogram Nurse enters results into EHR Nurse forwards results to PA

Lit search: Clinical Evidence USPSTF Guidelines ( te.htm) Comparison of different screening tools (FRAX®, OST, ORAI, OSIRIS, SCORE and age alone) to identify women with increased risk of fracture. A population-based prospective study (PMID: ) Bone-Density Testing Interval and Transition to Osteoporosis in Older Women (PMID: ) Better would be to include a quantitative estimate of benefit

Lit search: Implementation Evidence Mailed intervention and self-scheduling improves osteoporosis screening compliance Control group: 5% Mailed letters: 17% o J Bone Miner Res PMID: Electronic Standing Orders Highlight Care Gaps and Allow Nonphysicians to Address Them o DEXA rose from 45% to 52% o Try to quantify benefit

Intervention 1: Improved Documentation 4 main categories Concise RN-approved Star: automatic drop-down to A/P ICD-9 code and G-billing code for appropriate counseling Bill code every time, but will not be billed after max allowable

Intervention #2: Patient Information Information to be sent by PCP Resident

Results: projected monthly income Unit priceBefore 100 Pts/month After 100 Pts/month Revenue INR Encounter billing Expense Staff time (who, how much) $0.3/minute0.00 Supplies for machine per box which provides 48 tests ($4.32 per test) Machine * Net income per month

Results: Made by QI Tools at OpenCPU Unusual to have this slide

Summary Initial results suggest an improvement occurred Revenue positive

Recommendations for future teams Can G-code be used for quarterly billing for anticoagulation?