Georgia
Epidemiology
Report
The Georgia Epidemiology Report is a publication of the Epidemiology Section of the Epidemiology and Prevention Branch, Division of Public Health, Department of Human Resources
April1997
Volume 13 Number 4
Evaluation of Perinatal Case Management in Georgia 1991-1994
http://www.ph.dhr.state.ga.us
Division Of Public Health
Patrick J. Meehan, M.D. - Director Epidemiology and Prevention Branch State Epidemiologist
Kathleen E. Toomey, M.D., M.P.H.- Director Epidemiology Section Paul A. Blake, M.D., M.P.H.-Chief
Notifiable Diseases
Jeffrey D. Berschling, M.P.H.; Karen R. Horvat, M.P.H. ; Amri B. Johnson, M.P.H.; Jane E. Koehler, D.V.M, M.P.H.; Katherine GibbsMcCombs, M.P.H.; Preeti Pathela, M.P.H.; Sabrina Walton, M.S.P.H.
Chronic Disease
Nancy E. Stroup, Ph.D.-Program Manager Patricia M. Fox, M.P.H.; A. Rana Bayakly, M.P.H.; Edward E. Pledger, M.P.A.
Tuberculosis
Naomi Bock, M.D., M.S.
HIV/AIDS/Sexually Transmitted Diseases
Kim Cook, M.D., M.S.P.H.-Program Manager Stephanie Bock, M.P.H.; Mary Lynn Gaffield, M.P.H.; Andrew Margolis, M.P.H.
Perinatal Epidemiology
Mary D. Brantley, M.P.H.; Paul C. Gangarosa, M.P.H.; Raymond E. Gangarosa, M.D., M.P.H.; Leslie E. Lipscomb, M.P.H.; Mary P. Mathis, Ph.D., M.P.H.
Preventive Medicine Resident
Hussain R. Yusuf, M.B.B.S., M.P.H.
EIS Officer
Michael S. Friedman, M.D.
Georgia Epidemiology Report Editorial Board
Editorial Executive Committee Paul A. Blake, M.D., M.P.H.- Editor Kathleen E. Toomey, M.D., M.P.H. Mary D. Brantley, M.P.H. Jeffrey D. Berschling, M.P.H.
Mailing List Edward E. Pledger, M.P.A.
Perinatal Case Management (PCM) is a Georgia Medicaid care coordination program for pregnant women. Medicaid began funding PCM in October 1990 to remove barriers and improve access to prenatal care. We assessed whether pregnant women who received PCM enrolled in prenatal care earlier than women who did not receive PCM.
Methods
We examined the Georgia Medicaid Claims files for the years 1991-1994, constructed a Medicaid delivery cohort for each year and retrieved the Medicaid Claims File history for each woman for the prenatal period (300 days before delivery). We identified women who received the PCM Comprehensive code (first claim) in the prenatal period. We then searched the prenatal period for Current Procedure Terminology Codes (CPT) that pertained to prenatal care. We excluded 883 PCM women and 18,906 non-PCM women over the four years for whom no claim was submitted for any of the selected prenatal care CPT codes. We also excluded 23,059 PCM women over the four years who received PCM after enrolling in prenatal care. This exclusion was roughly 35% per year statewide and for 1994 ranged from 14-67% by health district. This latter group was excluded because they were already into prenatal care and their timing of entry could not be influenced by PCM. We assessed the number of days a woman was enrolled in prenatal care by constructing an interval between the first prenatal care claim date and the delivery date. We compared the average number of days enrolled in prenatal care for PCM women and non-PCM women by year (1991-1994) and assessed trends over time. We repeated the analysis by stratifying race, age and health district.
Results
The PCM program expanded coverage from 12% of Medicaid deliveries (6,456 of 52,230) in 1991 to 40% of Medicaid deliveries (23,415 of
Epidemiology Section, Epidemiology & Prevention Branch, Two Peachtree St., N.W., Atlanta, GA 30303-3186
Phone: (404) 657-2588
FAX: (404) 657-2586
58,772) in 1994. In 1991, the proportion of blacks enrolled was lower than the proportion of whites enrolled. By 1994, the proportion enrolled was similar for blacks and whites (Figure 1).
Figure 3. Average Days From First Prenatal Care to Delivery for PCM and Other Medicaid Women
Figure 1. Percent Medicaid Mothers Receiving PCM by Race, Geogia 1991-1994
Average Days
Percent
Source: Georgia Medicaid Claims File
Percent
Source: Georgia Medicaid Claims File
For all years and both races, as maternal age increased, coverage decreased (Figures 2). By 1994, the proportion enrolled in PCM by the 19 health districts in Georgia ranged from 20% to 75% (not shown).
Figure 2. Percent Medicaid Mothers Receiving PCM by Age, Georgia 1991-1994
By 1994, PCM women were enrolled into prenatal care an average of 54.2 days earlier than in 1991 and non-PCM women were enrolled into prenatal care an average of 26 days earlier than in 1991 (Table 1). The shift toward a greater average length of prenatal care for the PCM group occurred for both white and black women. The change in the difference between the PCM group and the non-PCM group between 1991 and 1994 was similar for whites (28 days) and blacks (26.2 days) (Table 1). Blacks, however, had a larger gap to close between 1991 and 1994. The shift toward a greater average length of prenatal care for the PCM group vs. the non-PCM group occurred for all age groups; however, not all age groups reached the point where the PCM average was greater (and significant p=<0.05) than the non-PCM average (not shown). By 1994, 10 of 19 health districts showed statistically significant longer prenatal care duration intervals for women enrolled in PCM than women not enrolled in PCM (not shown).
Percent
Source: Georgia Medicaid Claims File
Compared with 1991, all pregnant women on Medicaid entered prenatal care earlier in 1994. In 1991, PCM women were enrolled in prenatal care an average of 22.7 days later than non-PCM women. In 1994, PCM women enrolled in care an average of 5.5 days earlier than non-PCM women (Figure 3).
Discussion
We conclude that by 1994, PCM improved the timing of entry into prenatal care in Georgia. To our knowledge, this is the first study in Georgia to demonstrate a favorable impact of a publicly funded program on timing of prenatal care.
Two strengths of this study are: q It included all births with a Medicaid claim,
which represent over half the births in the state of Georgia; and q It compares two groups of Medicaid recipients, those enrolled and those not enrolled in PCM.
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Table 1. Average Interval (Days) between First Prenatal Care and Delivery for Women With and
Without Perinatal Case Management (PCM) Georgia Medicaid 1991-1994
Total Year 1991 1992 1993 1994 1994 minus 91
PCM 117.2 144.3 153.6 171.4 54.2
NONPCM 139.9 148.4 154.2 165.9 26
Diff. -22.7
-4.1 -.06 5.5 28.2
Signif ** **
*
White Year 1991 1992 1993 1994 1994 minus-1991
PCM 119.2 151.2 161.5 179.8 60.6
NONPCM 134.3 142.9 153.1 166.7 32.4
Diff. -15.1
8.3 8.4 13.1 28.2
Signif ** * * *
Black Year 1991 1992 1993 1994 1994 minus-1991
PCM 115.4 136.3 147.8 165.5 50.1
NONPCM 145.1 153.8 159 169 23.9
Diff. -29.7 -17.5 -11.2 - 3.5 26.2
Signif ** ** ** **
* PCM greater and significant at p.< 0.05 ** NONPCM greater and significant at p.<0.05
The maternal Medicaid claims file alone does not permit adequate control for premature delivery, and our analysis did not include information on any other program that might lead to earlier prenatal care, such as presumptive eligibility, expanded Medicaid eligibility, increased physician reimbursement, and incentive programs. Moreover, we were unable to distinguish which came first for women who had the first PCM and first prenatal care in the same month. The unit of service for PCM is a month, and is billed at the end of the month.
We may have introduced a bias by excluding women with no prenatal care code. More non-PCM than PCM women were excluded. This might be important if we failed to identify prenatal care code(s) that were particular to the non-PCM group. The fact that the non-PCM group average interval of care was higher than the PCM group in 1991 and the reverse was true in 1994 argues against this potential bias. The excluded PCM group decreased from 4.2% in 1991 to 0.8% in 1994. The excluded non-PCM group decreased from 16.9% to 8.8%.
Buescher studied care coordination (case management) in North Carolina. His study demonstrated a beneficial association of care coordination on birthweight distribution and infant mortality. His study differed from ours in that he linked prenatal visit records from public health departments and Medicaid claims paid for maternity care coordination to live birth certificates and evaluated whether care coordination improved birth outcomes. In both his and our study, the trend was for care coordination to begin earlier in pregnancy. He did not report on length of prenatal care, while our study reported earlier prenatal care over time both for women enrolled in case management (care coordination) and for women not enrolled in case management.
We cannot easily interpret the difference by health district in PCM vs. non-PCM differences because we lack district-specific information on content of PCM care and the role of other local interventions.
Summary
We used Georgia Medicaid claims files for the years 1991-1994 to evaluate whether women who received Perinatal Case Management (PCM), a care coordination service, entered prenatal care earlier than women who did not receive this service. Overall, there was a trend for all women for whom Medicaid paid for a delivery to enter care earlier. By 1994, women who received PCM entered care an average of 5.5 days earlier than women who did not receive PCM. The shift toward a greater average length of prenatal care for the PCM group occurred for both white and black women. The change in the difference between the PCM group and the non PCM group between 1991 and 1994 was similar for whites (28 days) and blacks (26.2 days). Blacks, however, had a larger gap to close between 1991 and 1994.
References
1. Buescher PA, Roth MS, Williams D, Goforth CM. An evaluation of the impact of maternity care coordination on Medicaid birth outcomes in North Carolina. American Journal of Public Health. 81(12):1625-9, 1991 Dec.
This report was contributed by Ed Tierney, Roger Rochat, Steve Einbender, Carol Hadley, B Jones.
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The Georgia Epidemiology Report Epidemiology and Prevention Branch Two Peachtree St., NW Atlanta, GA 30303-3186
April 1997
Volume 13 Number 4
Reported Cases of Selected Notifiable Diseases in Georgia Profile* for January 1997
Selected Notifiable Diseases Campylobacteriosis
Total Reported for January 1997 33
Previous 3 Months Total
Ending in January
1995
1996
1997
168
178
131
Previous 12 Months Total
Ending in January
1995
1996
1997
745
1026
776
Chlamydia genital infection Cryptosporidiosis
810
696
2525
2263
696
11636
13524
2
0
4
13
0
4
91
E. coli O157:H7
10
1
4
13
3
29
48
Giardiasis Gonorrhea Haemophilis influenzae (invasive)
71 1395
7
46 1958
6
119 5786
12
212 3892
16
280 1958
18
595 21354
40
847 19468
51
Hepatitis A (acute)
26
12
15
96
18
88
428
Hepatitis B (acute)
6
Blood Lead Level > 10 g/dL (cap)
159
Blood Lead Level > 10 g/dL (ven)
82
Legionellosis
0
Lyme Disease
1
Meningococcal Disease (invasive)
13
22
7
14
146
616
489
38
120
147
5
1
0
0
0
1
26
43
28
71
91
65
146
2998
2955
38
618
647
14
14
3
2
14
2
38
109
140
Mumps
2
0
4
3
0
12
10
Pertussis Rubella
1
4
6
6
10
30
34
0
0
0
0
0
0
0
Salmonellosis
89
256
365
351
1095
1687
1441
Shigellosis Syphilis - Primary Syphilis - Secondary
75
439
139
397
1457
1260
1153
19
44
72
45
177
291
194
35
100
150
111
480
644
488
Syphilis - Early Latent
101
388
378
292
1541
1678
1293
Syphilis - Other** Syphilis - Congenital
114
190
256
283
679
1160
982
0
8
17
4
30
60
31
Tuberculosis
63
215
200
195
770
768
771
* The cumulative numbers in the above table reflect the date the disease was first diagnosed rather than the date the report was received at the state office; and therefore are subject to change over time due to late reporting. The 3 month delay in the disease profile for a given month is designed to minimize any changes that may occur. This method of summarizing data is expected to provide a better overall measure of disease trends and patterns in Georgia.
** Other syphilis includes latent (unknown duration), late latent, late with symptomatic manifestations, and neurosyphilis.
Report Period
Total Cases Reported *
AIDS Profile Update
Percent
Risk Group Distribution (%)
Race Distribution (%)
Female
MSM IDU MSM&IDU HS Blood Unknown White Black Other
Last 12 Mos 04/96 to 03/97 5 Yrs Ago 04/91 to 03/92 Cumulative 01/80 to 03/97
2272 1795 17495
20.1
41.4 18.3
4.6
13.5
53.6 23.0
7.2
14.5
52.0 19.0
6.0
16.0 1.3
18.4
9.5 1.7
4.9
11.1 2.0
9.8
29.3 68.0 2.7 41.9 56.2 1.9 40.4 57.6 2.0
MSM - Men having sex with men IDU - Injection drug users HS - Heterosexual * Case totals are accumulated by date of report to the Epidemiology Section
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