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Uniform Data System (UDS) Report 2005: Comparisons and Trends. September 2006 Cassandra Arceneaux MD, MPH General Preventive Medicine Resident- UTMB. Objectives. Identify demographics and total number of patients seen over past 5 years - PowerPoint PPT Presentation
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Uniform Data System (UDS) Report 2005:
Comparisons and Trends
September 2006September 2006
Cassandra Arceneaux MD, MPHCassandra Arceneaux MD, MPH
General Preventive Medicine General Preventive Medicine Resident- UTMBResident- UTMB
Objectives
Identify demographics and total number of Identify demographics and total number of patients seen over past 5 yearspatients seen over past 5 years
Compare medical productivity to other Compare medical productivity to other districts and previous yearsdistricts and previous years
Compare costs by encounter and service Compare costs by encounter and service Discuss bad debt and adjustmentsDiscuss bad debt and adjustments Review statistics by payor categoriesReview statistics by payor categories
Patient Totals and Demographics
2005 Statistics
2005 total patients2005 total patients 17,51917,519
Receiving medical servicesReceiving medical services 16,81816,818
Prenatal patientsPrenatal patients 7373
Total Patients
15500
16000
16500
17000
17500
18000
18500
Total Users Medical Services
20012002200320042005
Total Pts. = Total users of all servicesMedical Services = No. of pts. using medical services
Patients by Age and Gender
13%
7%
33%
47%
Pediatric (<15yo)*
Geriatric (>64)*
Women's Health (ages 15-44)*
Other
* Groups noted as target populations by UDS
2005
Patients by Race and Ethnicity
White 34%
Black 32%
Hispanic 33%
2005
Patients by Diagnosis
Prenatal Patients
AgeAge 20022002 20032003 2004*2004* 2005*2005* TotalsTotals
<15<15 00 00 00 00 00
15-1915-19 3131 4343 1717 1010 101101
20-2420-24 5151 4444 4141 2424 160160
25-4425-44 5050 5151 5050 3939 190190
>44>44 11 00 00 00 11
Total Total PatientsPatients
133133 138138 108108 7373 452452
* Did not report less than 2 prenatal visits
2005 Prenatal Patients by Race
BlackLatinoWhiteAsianUnreported
14%
64%
14%
7% 1%
34% 32%
33%
Total Patients Prenatal Patients
Prenatal Care
Age of Patients
14%
33%
53%
15-19 yo
20-24 yo
25-44 yo
Entry to Prenatal Care
55%36%
9% FirstTrimesterSecondTrimesterThirdTrimester
Delivery, Postpartum, and Infant Utilization
20022002 20032003 2004*2004* 2005*2005*
Users who delivered Users who delivered during the yearduring the year
31%31% 5%5% 13%13% 59%59%
BW 1501-2500g**BW 1501-2500g** 0%0% 0%0% 1%1% 4%4%
BW>2500gBW>2500g 31%31% 5%5% 12%12% 41%41%
Postpartum CarePostpartum Care 20%20% 5%5% 9%9% 15%15%
Newborn visitNewborn visit 21%21% 2%2% 6%6% 25%25%
*Less than 2 visits not reported
*No BW <1501g
2005 Enrollment of Prenatal Care Users in WIC Prenatal care users: Prenatal care users: 78%78% Infants: Infants: 49%49% Postpartum care users: Postpartum care users: 49%49%
Visits by Primary Diagnosis**
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
HTN DM Depression* STDs
20012002200320042005
*2001-2003 values represent all mental disorders excluding drug and ETOH dependence; later part of 2004 first mental health counselor hired**some data limitations include accuracy of diagnosis and coding and what diagnosis was listed as primary
Patients with Primary Diagnosis**
0
500
1000
1500
2000
2500
3000
3500
HTN DM Depression* STDs
20012002200320042005
*2001-2003 values represent all mental disorders excluding drug and ETOH dependence; later part of 2004 first mental health counselor hired**some data limitations include accuracy of diagnosis and coding and what diagnosis was listed as primary
Preventive Service Visits**
0
1000
2000
3000
4000
5000
6000
ContraceptiveManagement
Pap Smear Child Health*
20012002200320042005
*up to age 11**some data limitations include accuracy of diagnosis and coding and what diagnosis was listed as primary
Preventive Service Patients**
0
500
1000
1500
2000
2500
3000
3500
4000
ContraceptiveManagement
Pap Smear Well ChildVisits*
20012002200320042005
*up to age 11
**some data limitations include accuracy of diagnosis and coding and what diagnosis was listed as primary
Productivity, Charges, Collections, and Adjustments
Medical Team Productivity
0
1000
2000
3000
4000
5000
6000
4C's Texas Urban Large
2003*
2004
2005
Total visits for physicians and mid-levels (Total physician FTEs**)+ (Total Midlevel FTEs/2) *2003 Excludes Psychiatry**FTEs = Full Time Equivalent Hours or 2080 hrs
Medical Team Productivity =
Dental Team Productivity
0
500
1000
1500
2000
2500
3000
4C's TX Urban Large
200320042005
Dental Team Total Visits for dentists and hygienistsProductivity = Total dentist FTEs + hygienists FTEs
Medical Cost Per Visit*
0
20
40
60
80
100
120
4C's Texas Urban Large
200320042005
* Includes Psychiatry
Medical Cost Total Medical Service Costs - Lab/Xray Per Visit= Total Medical Service Visits - Nursing
$90$105
$117 $109
Medical Costs (Definitions) Costs for Medical Care Costs for Medical Care
Medical StaffMedical Staff Lab and X-RayLab and X-Ray Medical/Other DirectMedical/Other Direct
Costs for Medical ServicesCosts for Medical Services Dental HealthDental Health Mental healthMental health Substance AbuseSubstance Abuse Pharmacy/PharmaceuticalsPharmacy/Pharmaceuticals Other Professional CostsOther Professional Costs
Costs for Enabling and other Program Related ServicesCosts for Enabling and other Program Related Services
Administrative Costs (Definition)
Total Facility Costs +Total Total Facility Costs +Total Administration Costs = OverheadAdministration Costs = Overhead
2005 Medical /Administrative CostsServicesServices Accrued Accrued
Medical CostsMedical CostsFacility/ Facility/ administratiadministrationon
TotalsTotals
Medical CareMedical Care 2,253,0232,253,023 1,636,8331,636,833 3,889,8563,889,856
Other ClinicalOther Clinical 1,550,3861,550,386 893,972893,972 2,444,3582,444,358
EnablingEnabling 255,156255,156 129,938129,938 385,094385,094
TotalsTotals 4,058,5654,058,565 2,660,7432,660,743 6,719,3086,719,308
Medical Vs. Administrative Costs
0
1000000
2000000
3000000
4000000
5000000
6000000
Medical Overhead
2001200220032004*2005*
*STD fund and WIC fund moved from clinic into general fund; loss in providers
Laboratory and Pharmacy Costs
0
100000
200000
300000
400000
500000
600000
700000
800000
900000
Lab/Xray Pharmacy
20012002200320042005
Lab/X-ray Total Lab/X-ray Costs including OverheadCosts = Total Medical Visits – Nurse Visits
Pharmacy (Accrued Cost of Pharmacy not including pharmaceuticals) + Costs = (Accrued cost of pharmaceuticals)
Proportion of Payors
0 1 3 237
1014
27 6 76
25
38 37
88
59
4339
0
10
20
30
40
50
60
70
80
90
100
4Cs Texas Urban Large
CHIP
Private Insurance
Medicare
Medicaid
Unisured
Proportion of Payors 2001-2005
0
10
20
3040
50
60
70
80
90
Uninsured Medicaid Medicare PrivateInsurance
20012002200320042005
2005 Collections by Payor
Medicaid (28%)
Medicare (17%)
Other PublicInsurance (9%)Private Insurance(1%)Self Pay (45%)
Medicaid Patients
0
200
400
600
800
1000
1200
1400
20012002200320042005
Number of 4C’s pts with Medicaid by year
Bad Debt as % of Self Pay Charges
0
500000
1000000
1500000
2000000
2500000
Bad Debt
20012002200320042005
Bad Self-Pay Bad Debt Write-offDebt = Self-Pay Charges
Self Pay Collection Rate
0%
5%
10%
15%
20%
25%
4C's Texas Urban Large
200320042005
Self Pay Amount CollectedCollection Rate = Full Charges
Surplus/Deficit as % Total Cost
-5%
0%
5%
10%
15%
20%
2001
2002
2003
2004
2005*
Surplus/ (Total Amount Collected + Total Revenue) – Total Accrued Costs incl.OverheadDeficit = Total Accrued Costs including Overhead
*2005 does not really reflect a deficit but a transfer of excess funds reserved for Texas City renovations
Findings
Total number of patients have decreasedTotal number of patients have decreased Due to limitations in coding we are unable Due to limitations in coding we are unable
to assess utilization trends by diagnosisto assess utilization trends by diagnosis An apparent decrease in preventive visits An apparent decrease in preventive visits
and decline in visits for major diagnosesand decline in visits for major diagnoses Medical team productivity increased and is Medical team productivity increased and is
significantly high compared to state and significantly high compared to state and national CHC averagesnational CHC averages
Findings
Medical cost per encounter remains less than state Medical cost per encounter remains less than state and national CHC averagesand national CHC averages
In 2005 the proportion of private insurance and In 2005 the proportion of private insurance and Medicaid patients has increased compared to the Medicaid patients has increased compared to the uninsured uninsured
Number of Medicaid patients has decreased since Number of Medicaid patients has decreased since 20032003
Collection rate continues to be low for self payers Collection rate continues to be low for self payers compared to standard set by statecompared to standard set by state
Bad debt continues to increaseBad debt continues to increase
Limitations
There is a discrepancy between what the There is a discrepancy between what the UDS reports and what the AS-400 showsUDS reports and what the AS-400 shows
UDS methods of calculation and reporting UDS methods of calculation and reporting have changed since 2002have changed since 2002
Current system has inability to accurately Current system has inability to accurately assess utilization by health conditions assess utilization by health conditions diagnosed and codeddiagnosed and coded
Opportunities
Maintain provider productivityMaintain provider productivity Increase utilization rate among all clinic Increase utilization rate among all clinic
patientspatients Increase number of insured patientsIncrease number of insured patients Increase collectionsIncrease collections EMR implementation will help to improve EMR implementation will help to improve
health data qualityhealth data quality