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Lessons from the AHRQ PSI Lessons from the AHRQ PSI Validation Pilot Project Validation Pilot Project AHRQ QI Users Meeting AHRQ QI Users Meeting September 10, 2008 September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center for Healthcare Policy and Research Center for Healthcare Policy and Research Team: Mamatha Pancholi and Marybeth Farquhar (AHRQ); Team: Mamatha Pancholi and Marybeth Farquhar (AHRQ); Jeffrey Geppert and Teresa Schaaf (Battelle Memorial Jeffrey Geppert and Teresa Schaaf (Battelle Memorial Institute); Sheryl Davies and Kathryn McDonald (Stanford); Institute); Sheryl Davies and Kathryn McDonald (Stanford); Garth Utter, Richard White, Daniel Tancredi, Patricia Garth Utter, Richard White, Daniel Tancredi, Patricia Zrelak, Ruth Baron, and Banafsheh Sadeghi (UC Davis) Zrelak, Ruth Baron, and Banafsheh Sadeghi (UC Davis)

Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

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Page 1: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Lessons from the AHRQ PSI Lessons from the AHRQ PSI Validation Pilot ProjectValidation Pilot Project

AHRQ QI Users MeetingAHRQ QI Users MeetingSeptember 10, 2008September 10, 2008

Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center for Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center for Healthcare Policy and ResearchHealthcare Policy and Research

Team: Mamatha Pancholi and Marybeth Farquhar (AHRQ); Jeffrey Geppert and Team: Mamatha Pancholi and Marybeth Farquhar (AHRQ); Jeffrey Geppert and Teresa Schaaf (Battelle Memorial Institute); Sheryl Davies and Kathryn Teresa Schaaf (Battelle Memorial Institute); Sheryl Davies and Kathryn McDonald (Stanford); Garth Utter, Richard White, Daniel Tancredi, Patricia McDonald (Stanford); Garth Utter, Richard White, Daniel Tancredi, Patricia Zrelak, Ruth Baron, and Banafsheh Sadeghi (UC Davis)Zrelak, Ruth Baron, and Banafsheh Sadeghi (UC Davis)

Page 2: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Outline Outline

What do we mean by “validation”?What do we mean by “validation”? GoalsGoals MethodsMethods ResultsResults Future plansFuture plans ImplicationsImplications

Page 3: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Validation Validation

A valid measure accurately represents the true state of the A valid measure accurately represents the true state of the phenomenon being measured (i.e., “free of systematic error”). phenomenon being measured (i.e., “free of systematic error”).

Content (aka consensual) validity is the degree to which a Content (aka consensual) validity is the degree to which a measure “on its face” adequately samples all relevant measure “on its face” adequately samples all relevant domains of the concept of interest.domains of the concept of interest.

Criterion (aka concurrent) validity is the degree to which a Criterion (aka concurrent) validity is the degree to which a measure generates data that agree with data from a better measure generates data that agree with data from a better (“gold standard”) approach to measuring the same (“gold standard”) approach to measuring the same characteristic.characteristic.

Predictive validity is the degree to which a measure Predictive validity is the degree to which a measure successfully predicts an outcome of interest.successfully predicts an outcome of interest.

Construct (aka convergent/discriminant) validity is the degree Construct (aka convergent/discriminant) validity is the degree to which a measure correlates with other measures, based on to which a measure correlates with other measures, based on a construct that is grounded in prior literature or a sound a construct that is grounded in prior literature or a sound conceptual frameworkconceptual framework

Page 4: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Content validity established Content validity established Modified RAND/UCLA Appropriateness Method Physicians of various specialties/subspecialties, nurses, other

professionals (e.g., midwife, pharmacist) were nominated Each potential indicator was assigned to one or two panels All panelists rated all assigned indicators (1-9) on overall usefulness

and other dimensions Pre-conference ratings and comments were collected Individual ratings were returned to panelists with distribution of ratings

and other panelists’ comments Telephone conference call(s) focused on high-variability items and

panelists’ suggestions, which were adopted only by consensus Post-conference ratings and comments were collected Excluded indicators rated “Unclear,” “Unclear-,” or “Unacceptable”:

– Median score <7, OR– At least 2 panelists rated the indicator in each of the extreme 3-point

ranges

Page 5: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Content validity

48 indicators reviewed in total– 37 reviewed by multispecialty panel– 15 of those reviewed by surgical panel

20 “accepted” based on face validity– 2 dropped due to operational concerns

17 “experimental” or promising indicators 11 rejected

Page 6: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

OECD Expert panel review of PSI usefulness and “preventability”c

Acceptable Acceptable (-) Unclear Unclear (-) Decubitus ulcer Complications of

anesthesia Death in low mortality DRG

Failure to rescue

Foreign body left in Selected infections due to medical care

Postop hemorhage/ hematoma

Postop physiologic/ metabolic derangement

Iatrogenic pneumothoraxa

Postop PE or DVTb Postop respiratory failure

Postop hip fracturea Transfusion reaction Postop abdominopelvic wound dehiscence

Technical difficulty with procedure

Birth trauma Postop sepsis

Obstetric trauma (all delivery types)

a Panel ratings were based on definitions different than final definitions. For “Iatrogenic pneumothorax,” the rated denominator was restricted to patients receiving thoracentesis or central lines; the final definition expands the denominator to all patients (with same exclusions). For “In-hospital fracture” panelists rated the broader Experimental indicator, which was replaced in the Accepted set by “Postoperative hip fracture” due to operational concerns. b Vascular complications were rated as Unclear (-) by surgical panel; multispecialty panel rating is shown here.c “Acceptable” and “acceptable-” both have median score 7-9; “acceptable” means no more than 1 or 2 panelists rated indicator below 7whereas “acceptable-” means no more than 1 or 2 panelists rated indicator in 1-3 range.

Page 7: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

National Quality Forumevidence review

National Voluntary Consensus Standards for Hospital Care: Additional Priorities, 2007

Purpose was to seek additional voluntary consensus standards for measuring the performance of the nation’s general acute care hospitals, including: 1) morbidity and mortality measures, 2) anesthesia and surgery measures, 3) measures for utilization rates for risky or often unnecessary procedures, 4) surgical volume and mortality measures, 5) readmission rates and length of stay (LOS) rates, 6) pain assessment, and 7) pediatric asthma.

Convened Technical Assessment Panels for Patient Safety, Surgery and Anesthesia, Pediatric, Public Reporting, Length of Stay and Readmission

Page 8: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

NQF review results

QI NameEndorsed

date

Death in Low-Mortality DRGs (PSI 2) 5/15/08

Death Among Surgical Patients w/ Treatable Complications (PSI 4) 5/15/08

Foreign Body Left During Procedure-Provider level (PSI 5) 5/15/08

Iatrogenic Pneumothorax-Provider level (PSI 6) 5/15/08

Postoperative DVT or PE (PSI 12) 7/31/08

Postoperative Wound Dehiscence-Provider level (PSI 14) 5/15/08

Accidental Puncture or Laceration-Provider level (PSI 15) 5/15/08

Transfusion Reaction-Provider level (PSI 16) 5/15/08

Yellow = proposed HACs; Cyan = proposed RHQDAPU

Page 9: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Predictive validity established: Impact of preventing a PSI on mortality, LOS, charges

NIS 2000 analysis by Zhan & Miller, JAMA 2003;290:1868-74

Indicator Δ Mort (%) Δ LOS (d) Δ Charge ($)

Postoperative septicemia 21.9 10.9 $57,700

Selected infections due to medical care 4.3 9.6 38,700

Postop abd/pelvic wound dehiscence 9.6 9.4 40,300

Postoperative respiratory failure 21.8 9.1 53,500

Postoperative physiologic or metabolic derangement

19.8 8.9 54,800

Postoperative thromboembolism 6.6 5.4 21,700

Postoperative hip fracture 4.5 5.2 13,400

Iatrogenic pneumothorax 7.0 4.4 17,300

Decubitus ulcer 7.2 4.0 10,800

Postoperative hemorrhage/hematoma 3.0 3.9 21,400

Accidental puncture or laceration 2.2 1.3 8,300

Excess mortality, LOS, and charges computed from mean values for PSI cases and matched controls.

Page 10: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Predictive validity established: Impact of preventing a PSI on mortality, LOS, charges

VA PTF 2001 analysis by Rivard et al., Med Care Res Rev; 65(1):67-87

Indicator Δ Mort (%) Δ LOS (d) Δ Cost ($)

Postoperative septicemia 30.2 18.8 $31,264

Selected infections due to medical care 2.7 9.5 13,816

Postop abd/pelvic wound dehiscence 11.7 11.7 18,905

Postoperative respiratory failure 24.2 8.6 39,745

Postoperative physiologic or metabolic derangement

Postoperative thromboembolism 6.1 5.5 7,205

Postoperative hip fracture

Iatrogenic pneumothorax 2.7 3.9 5,633

Decubitus ulcer 6.8 5.2 6,713

Postoperative hemorrhage/hematoma 5.1 3.9 7,863

Accidental puncture or laceration 3.2 1.4 3,359

Excess mortality, LOS, and charges computed from mean values for PSI cases and matched controls.

Page 11: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

AHRQ PSI Validation Pilot Goals AHRQ PSI Validation Pilot Goals

Gather evidence on the criterion validity of the PSIs Gather evidence on the criterion validity of the PSIs based on medical record reviewbased on medical record review

Improve guidance about how to interpret & use the Improve guidance about how to interpret & use the datadata

Evaluate potential refinements to the specificationsEvaluate potential refinements to the specifications

Develop medical record abstraction toolsDevelop medical record abstraction tools

Develop mechanisms for conducting validation Develop mechanisms for conducting validation studies on a routine basisstudies on a routine basis

Page 12: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Positive Predictive Value Positive Predictive Value

The The positive predictive value positive predictive value or or post-test probability post-test probability is the is the proportion of flagged cases who actually had the event. proportion of flagged cases who actually had the event.

The Positive Predictive Value (PPV) can be further defined The Positive Predictive Value (PPV) can be further defined as: as:

Page 13: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

PSI Validation Pilot Methods PSI Validation Pilot Methods

Retrospective cross-sectional study designRetrospective cross-sectional study design Volunteer sample of collaborative partners Volunteer sample of collaborative partners

– Facilitating organizations (e.g., Arizona)Facilitating organizations (e.g., Arizona)– Hospital systemsHospital systems– Individual hospitalsIndividual hospitals

Sampling based on administrative data Sampling based on administrative data Sampling probabilities assigned using Sampling probabilities assigned using

AHRQ QI software to generate desired AHRQ QI software to generate desired sample size locally (30) and nationally (240 sample size locally (30) and nationally (240 per indicator)per indicator)

Page 14: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Data collection methodsData collection methods

Each hospital identified chart abstractors Each hospital identified chart abstractors Training occurred via webinarsTraining occurred via webinars Medical record abstraction tools & guidelinesMedical record abstraction tools & guidelines

– Pretested in the Sacramento areaPretested in the Sacramento area– Targeted the ascertainment of the event, risk Targeted the ascertainment of the event, risk

factors, evaluation & treatment, and related factors, evaluation & treatment, and related outcomesoutcomes

Coordinating center entered data from paper Coordinating center entered data from paper formsforms

Page 15: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

PSI Validation Pilot TimelinePSI Validation Pilot Timeline

■ 10 indicators- divided into 2 phases of 5 each■ Phase I review-

Training early 2007 Chart review 4 month process 2nd Qtr 2006 through 1st Qtr 2007 (but some hospitals had to reach back as far as 4th Qtr 2005)

■ Phase II review – Awaiting OMB approval Pre-pilot (6 hospitals) now underway

Phase III –sensitivity determination

Page 16: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

PSI Validation Pilot PhasesPSI Validation Pilot Phases

Phase I Phase II

Accidental puncture and laceration

Foreign body left in during procedure

Selected infection due to medical care

Postoperative hemorrhage or hematoma

Postoperative pulmonary embolism or deep vein thrombosis

Postoperative physiologic and metabolic derangement

Postoperative sepsis Postoperative respiratory failure

Iatrogenic pneumothorax Postoperative wound dehiscence

Page 17: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

PSI Validation Pilot SamplesPSI Validation Pilot Samples

Phase I Hospitals Sample

Accidental puncture and laceration 43 249

Iatrogenic pneumothorax 38 205

Postoperative PE/DVT 37 155

Selected Infection due to Medical Care 37 189

Postoperative Sepsis 33 164

Overall 47 967

Page 18: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

N=249N=249 91% (95% CI = 86-94%) PPV or true events 91% (95% CI = 86-94%) PPV or true events 9% (n=23) were false positives 9% (n=23) were false positives

– 7% (n=18) miscoded 7% (n=18) miscoded 4 had disease-related lesions (perforated appendix or 4 had disease-related lesions (perforated appendix or

ischemic colon, ruptured AA, rectovesical fistula)ischemic colon, ruptured AA, rectovesical fistula)7 had a different complication (4 bleeding due to 7 had a different complication (4 bleeding due to

operative conduct, 1 surgical site infection, 1 dislodged operative conduct, 1 surgical site infection, 1 dislodged gastrostomy tube, 1 periprosthetic fracture)gastrostomy tube, 1 periprosthetic fracture)

7 cases had no apparent event other than normal 7 cases had no apparent event other than normal operative/procedural conduct (intentional, rule-out)operative/procedural conduct (intentional, rule-out)

– 2% POA (related to an earlier episode of care)2% POA (related to an earlier episode of care)

Accidental Puncture or LacerationAccidental Puncture or Laceration

Page 19: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Accidental Puncture or LacerationAccidental Puncture or Laceration

Characteristics of confirmed cases (N=226)– 170 (75%) were potentially consequential– Most were related to an abdominal or pelvic

procedure 51 (30%) enterotomy or other perforation of the

GI tract 42 (25%) bladder injury 33 (19%) dural tear 27 (16%) vascular injury

– 132 (78%) involved a reparative procedure at the time of occurrence

– 19 (11%) required a return to the OR (one death)

Page 20: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Iatrogenic pneumothoraxIatrogenic pneumothorax

N=205N=205 78% (95% CI = 73-82%) PPV or true events 78% (95% CI = 73-82%) PPV or true events

that occurred during the hospitalizationthat occurred during the hospitalization 11% were false positives 11% were false positives

– 7% (n=14) present or suspected at 7% (n=14) present or suspected at admission, most (n=8) transferred inadmission, most (n=8) transferred in

– 4% no documentation of event (miscoded), 4% no documentation of event (miscoded), but some with suspicion (n=3)but some with suspicion (n=3)

11% had exclusionary diagnosis or procedure 11% had exclusionary diagnosis or procedure (e.g., trauma, metastatic cancer)(e.g., trauma, metastatic cancer)

Page 21: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Iatrogenic pneumothoraxIatrogenic pneumothorax

Characteristics of confirmed cases (N=156)– 9 (6%) transthoracic needle aspiration or biopsy– 66 (47%) central venous catheter placement

Only 4 used sonographic and 7 fluoroscopic guidance

– 59 (40%) other invasive procedures on or near the neck or chest wall 37 catheterization, pacemaker insertion 3 laparoscopic procedures 8 nephrectomy/renal procedures 2 operations involving the spinal canal 9 Other procedures

– 5 (5%) mechanical ventilation– 1 (1%) cardiopulmonary resuscitation

Page 22: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Postoperative DVT or PEPostoperative DVT or PE

N = 155N = 155 Coding perspective:Coding perspective:

– PPV = 83% (95% CI = 73-95%)PPV = 83% (95% CI = 73-95%)– 17% were false positives 17% were false positives

10% (n=12) POA10% (n=12) POA7% (n=8) no documentation of VTE (miscoded)7% (n=8) no documentation of VTE (miscoded)

Clinical perspective:Clinical perspective:– PPV = 48% (95% CI = 33-61%)PPV = 48% (95% CI = 33-61%)– Additional false positives due to preoperative VTE (20%), Additional false positives due to preoperative VTE (20%),

upper extremity DVT (9%), superficial or unspecified vein (6%)upper extremity DVT (9%), superficial or unspecified vein (6%)

Page 23: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Comparing PPV estimates with UHC Comparing PPV estimates with UHC sample for postoperative DVT/PEsample for postoperative DVT/PE

UHC Cohort (n=450) Coding Clinical Sensitivity 80% (46- 00%) 100%

Specificity 99.5% (99.3-99.6%) 98.6% (98.6-99.2%)

Positive Predictive Value 72% (67-79%) 44% (36-52%)

Negative Predictive Value 99.6% (98.9-100%) 100%

AHRQ Cohort (n=121) Positive Predictive Value 83% (73-95%) 48% (33-61%)

Page 24: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Selected Infection due to Selected Infection due to Medical CareMedical Care

N=191N=191 61% (95% CI = 51-71%) were true events that occurred during 61% (95% CI = 51-71%) were true events that occurred during

the index hospitalizationthe index hospitalization 39% were false positives 39% were false positives

– 7% (n=14) had exclusionary diagnosis7% (n=14) had exclusionary diagnosis– 20% (n=39) were present on admission, with no new 20% (n=39) were present on admission, with no new

infectioninfection– 12% (n=23) had no documentation of infection12% (n=23) had no documentation of infection

Page 25: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Selected Infection due to Selected Infection due to Medical CareMedical Care

N=115 with new infection – 106 with new infection– 9 with POA + new infection

Majority related to central lines (n= 53)– 35 ** cases due to non-tunneled central lines (SC, IJ, Fem)

Mean 11 days (7 days SD), range 2-35 days (n=33)– 17 cases associated with PICC lines

Mean 13.4 days (7.7 days SD), range 2-35 days 26 cases related to other types of catheters (3 arterial

lines, 4 long-term vascular access ports, 3 ET, 8 IV, 1 urinary, 2 other)

* Difficult review- some earlier termination by abstractors** 2 cases had extreme values of 101 and 374 days were excluded from

calculation

Page 26: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Postoperative SepsisPostoperative Sepsis

N=164N=164 41% (95% CI = 28-54%) were true events that 41% (95% CI = 28-54%) were true events that

occurred during the hospitalizationoccurred during the hospitalization 59% were false positive 59% were false positive

– 17% had no documentation of bacteremia, 17% had no documentation of bacteremia, septicemia, sepsis or SIRSsepticemia, sepsis or SIRS

– 17% had infection (=14%) or sepsis (=3%) 17% had infection (=14%) or sepsis (=3%) POA POA

– 25% did not have elective surgery25% did not have elective surgery

Page 27: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Summary of PPVsSummary of PPVsPreliminary estimatesPreliminary estimates

PSI PPV%

Accidental puncture or lacerationAccidental puncture or laceration 91%91%

Iatrogenic pneumothoraxIatrogenic pneumothorax 78%78%

Postoperative DVT/PEPostoperative DVT/PE 48-83%48-83%

Selected infections due to medical careSelected infections due to medical care 61%61%

Postoperative sepsisPostoperative sepsis 41%41%

PPVs high for NQF-endorsed indicators

Page 28: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Recognizing limitationsRecognizing limitations

Not all data elements of interest available via Not all data elements of interest available via chart reviewchart review

Time constraints (minimize burden on Time constraints (minimize burden on collaborators)collaborators)

Inter-hospital variation in documentation and Inter-hospital variation in documentation and abstraction abstraction

Volunteer sample; time periods varied slightly Volunteer sample; time periods varied slightly across hospitals across hospitals

Page 29: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Further analysis of potential preventabilityFurther analysis of potential preventability Evaluation of alternative ICD-9-CM Evaluation of alternative ICD-9-CM

specificationsspecifications– Can we improve PPV?Can we improve PPV?

Establish ongoing infrastructure for Establish ongoing infrastructure for validationvalidation

Estimate sensitivity of 10 indicators Estimate sensitivity of 10 indicators (including Foreign Body, Pneumothorax, (including Foreign Body, Pneumothorax, Wound Dehiscence, and Accidental Wound Dehiscence, and Accidental Puncture and Laceration)Puncture and Laceration)

AHRQ QI Validation PilotAHRQ QI Validation PilotFuture plansFuture plans

Page 30: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

Policy implicationsPolicy implications

Coding changes needed to enhance specificity Coding changes needed to enhance specificity and PPV in some areas and PPV in some areas – AHRQ proposed new codes for DVTAHRQ proposed new codes for DVT– CMS proposed new code for catheter-CMS proposed new code for catheter-

associated bloodstream infectionassociated bloodstream infection With these changes, 3 of 5 PSIs tested in With these changes, 3 of 5 PSIs tested in

Phase 1 should have high PPVPhase 1 should have high PPV These indicators have been endorsed by NQFThese indicators have been endorsed by NQF More data on sensitivity (false negatives) are More data on sensitivity (false negatives) are

needed to avoid rewarding hospitals that needed to avoid rewarding hospitals that underreportunderreport

Page 31: Lessons from the AHRQ PSI Validation Pilot Project AHRQ QI Users Meeting September 10, 2008 Presenter: Patrick S. Romano, MD MPH; Professor, UC Davis Center

AHRQ project teamAHRQ project team– Mamatha Pancholi &Marybeth FarquharMamatha Pancholi &Marybeth Farquhar

Battelle training and support teamBattelle training and support team– Laura Puzniak & Lynne JonesLaura Puzniak & Lynne Jones

All of the validation pilot partners!All of the validation pilot partners!

AcknowledgmentsAcknowledgments