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Erschienen in: BMC Public Health 1/2015

Open Access 01.12.2015 | Research article

From pills to patients: an evaluation of data sources to determine the number of people living with HIV who are receiving antiretroviral therapy in Germany

verfasst von: Daniel Schmidt, Christian Kollan, Matthias Stoll, Hans-Jürgen Stellbrink, Andreas Plettenberg, Gerd Fätkenheuer, Frank Bergmann, Johannes R Bogner, Jan van Lunzen, Jürgen Rockstroh, Stefan Esser, Björn-Erik Ole Jensen, Heinz-August Horst, Carlos Fritzsche, Andrea Kühne, Matthias an der Heiden, Osamah Hamouda, Barbara Bartmeyer, ClinSurv Study Group

Erschienen in: BMC Public Health | Ausgabe 1/2015

Abstract

Background

This study aimed to determine the number of people living with HIV receiving antiretroviral therapy (ART) between 2006 and 2013 in Germany by using the available numbers of antiretroviral drug prescriptions and treatment data from the ClinSurv HIV cohort (CSH).

Methods

The CSH is a multi-centre, open, long-term observational cohort study with an average number of 10.400 patients in the study period 2006–2013. ART has been documented on average for 86% of those CSH patients and medication history is well documented in the CSH.
The antiretroviral prescription data (APD) are reported by billing centres for pharmacies covering >99% of nationwide pharmacy sales of all individuals with statutory health insurance (SHI) in Germany (~85%). Exactly one thiacytidine-containing medication (TCM) with either emtricitabine or lamivudine is present in all antiretroviral fixed-dose combinations (FDCs). Thus, each daily dose of TCM documented in the APD is presumed to be representative of one person per day receiving ART. The proportion of non-TCM regimen days in the CSH was used to determine the corresponding number of individuals in the APD.

Results

The proportion of CSH patients receiving TCMs increased continuously over time (from 85% to 93%; 2006–2013). In contrast, treatment interruptions declined remarkably (from 11% to 2%; 2006–2013). The total number of HIV-infected people with ART experience in Germany increased from 31,500 (95% CI 31,000-32,000) individuals to 54,000 (95% CI 53,000-55,500) over the observation period (including 16.3% without SHI and persons who had interrupted ART). An average increase of approximately 2,900 persons receiving ART was observed annually in Germany.

Conclusions

A substantial increase in the number of people receiving ART was observed from 2006 to 2013 in Germany.
Currently, the majority (93%) of antiretroviral regimens in the CSH included TCMs with ongoing use of FDCs. Based on these results, the future number of people receiving ART could be estimated by exclusively using TCM prescriptions, assuming that treatment guidelines will not change with respect to TCM use in ART regimens.
Hinweise
Daniel Schmidt and Christian Kollan contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

DS contributed to the conception of the study and interpretation of the data, performed the data analysis and statistical analysis and drafted the manuscript. CK was responsible for the study design, devised the estimation approach, performed the data analysis and interpretation of the data, was responsible for database management and helped to draft the manuscript. MH performed the negative binomial regression with quadratic time trend. OH was responsible for the design and implementation of the CSH and supported the overall analysis approach and the writing of the manuscript. BB supported the management and coordination of the study, served as the CSH study coordinator, contributed to improving data quality and coverage and helped to draft the manuscript. AK managed the data collection. MS, H-JS, AP, GF, FB, JB, JvL, JR, SE, B-EJ, H-AH, CF contributed reagents/materials/analysis tools and data. All authors participated in the critical discussion of the results, and all read and approved the final manuscript.

Authors’ information

Daniel Schmidt and Christian Kollan are joint first authors.

Background

Combined antiretroviral therapy (ART) as a standard of care has dramatically reduced mortality and morbidity and has led to an enormous increase in quality of life among people infected with HIV [1,2]. In most patients who receive ART, progression to AIDS or death is increasingly rare [3-5], and their life expectancies have significantly improved [6-8]. However, ART is a complex and lifelong therapy that must be well monitored, coordinated and tracked. Although ART is still not available for a large number of people in need, especially in developing countries [9], the number of people living with HIV who are receiving treatment is increasing worldwide [9]. In industrialised countries, a large number of people living with HIV are under treatment [10]. As HIV has become a chronic disease, an increasing number of people must be treated for decades, making it an important economic and public health issue to gain information on this group. Information on the current number of people living with HIV receiving ART in Germany is scarce owing to a lack of data, and access to personal-level drug prescription data is forbidden because of data protection.
HIV treatment in Germany is characterized by a decentralised structure. Medical care is mainly provided by specialized outpatient centres and office-based HIV specialists, and unlike in many countries people can consult a doctor of their own choice at any time and anywhere in the country. Furthermore, health care in Germany is compulsory for all German citizens and legal residents and is mostly provided by statutory health insurance (SHI) or private health insurance (PHI) [11-13]. SHI occupies a central position in the German health care system. Approximately 85% of German residents are covered by SHI, and nearly 60% of the total health expenditures are borne by SHI [12]. SHI reimburses pharmacies for the prescriptions of those who are covered via specialised pharmacy billing centres. Therefore, the prescription details are electronically recorded. The recording and use of these data are regulated by the social security law (§300 SGB V). Data from health services research such as electronically recorded pharmacy data are being increasingly used for research in Germany. Nevertheless, public health studies using data representing nearly all persons covered by SHI are scarce.
The prescription data include all antiretroviral drugs, regardless of whether they are for permanent or short-term therapies, e.g., post-exposure prophylaxis (PEP). No individual information and, therefore no indications, are available. In contrast, the prospective multi-centre observational German ClinSurv HIV cohort (CSH) ongoing since 1999 is the largest available nationwide source of people infected with HIV and collects detailed information on the initiation, composition and discontinuation of individuals’ daily ART from their participating centres [14].
Since the approval of the first antiretroviral agent, at least in the industrialised world, more than 30 antiretroviral pharmaceuticals, either single-drug formulations or fixed-dose combinations, are available for the treatment of HIV infection [15]. Nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) are still the main components of antiretroviral drug combinations [16] and are recommended as an element of any first-line antiretroviral regimen by therapy guidelines [17-19]. Currently, a combination of three antiretroviral drug classes consisting of two NRTIs and a third agent, either a protease inhibitor (PI) or a non-nucleoside reverse transcriptase inhibitor (NNRTI) or an integrase inhibitor (INI), is recommended for first-line therapy [17,18]. During the last decade, it has been recommended that all first-line NRTI combinations contain an element of a thiacytidine medication (TCM), either lamivudine (3TC) or emtricitabine (FTC) [17,19,20]. The two medications are interchangeable, but because of their high antiretroviral similarity with no additional effects, concomitant use should be avoided [17]. NRTI-free regimen such as PI monotherapy are not recommended because of inferior antiviral potency [17,18,21-23]. Because standard ART consists of a combination of at least three antiretroviral drugs given in a multitude of combination regimens, it is impossible to estimate the number of people receiving ART prescriptions based on all single drugs [24]. However, virtually all ART regimens prescribed in different studies in a setting of daily clinical practice contain exactly one TCM [25-33]. Thus, each daily TCM documented in the APD may be assumed to be representative of one person per day treated with ART. It was hypothesised that the ART regimens and treatment interruptions recorded in the CSH were representative of people living with HIV under antiretroviral treatment in Germany and that the prescriptions covered by SHI were comparable with those that were not.
This study used available prescription data sources from both pharmacy billing centres and the CSH to determine the number of people living with HIV currently receiving ART, the number of HIV-infected people with ART experience, and the differences in those numbers over time between 2006 and 2013.

Methods

Data sources used for analysis

ART prescription data (APD)

ART prescription data were provided by Insight Health™ for the years 2006–2013. The data were collected on a monthly basis from billing centres that processed all reimbursed prescriptions from pharmacies based on the date of redemption at the counter. The provider claimed a coverage of >99% within the SHI prescription market. The recorded numbers of prescribed standard units (i.e., numbers of tablets) of each antiretroviral drug were used for this study.
Defined daily doses (DDDs) were determined as recommended in the treatment guidelines [17]. The number of prescribed DDDs was calculated for TCMs depending on the doses of standard units. According to our approach, a DDD that included a TCM represented one person-day, assuming that one person was treated with TCM continuously every day for a quarter, as is recommended by treatment guidelines. In the case of the prescription of a 150 mg dose of lamivudine, 2 tablets were equivalent to one DDD.

The German ClinSurv HIV cohort (CSH)

The Clinical Surveillance of HIV Disease is a nationwide multi-centre, open, long-term observational cohort study for the clinical surveillance of HIV in Germany. The CSH was initiated in 1999 as collaboration between major HIV treatment centres and the Robert Koch Institute (RKI) which serves as the coordinating institution. Anonymised data on patient demographics, detailed information on antiretroviral treatment, laboratory parameters and clinical events are collected biannually in a standardised format. The study design is described in detail elsewhere [14]. In the study period 2006–2013, an average number of 10.400 patients were observed and consecutively monitored at 15 clinical centres in various, predominantly urban areas in Germany. Antiretroviral treatment history, including any interruptions in treatment, is documented in detail in the CSH [14,24]. Treatment duration is calculated individually according to the beginning and end dates of each antiretroviral drug treatment. All ART documentation is assessed manually. Quality control algorithms are applied, and in the case of inconsistencies, the centres are requested to submit the revised data to the RKI [14].
The Robert Koch Institute is the German national public health institute, therefore the Federal Commissioner for Data Protection is the responsible entity for studies which are conducted by the Robert Koch Institute. Information on HIV infection collected in ClinSurv corresponds to the data reported to the RKI according to legal requirements implemented by the national Protection against Infection act (IfSG) of 2001. All patient data collected in ClinSurv are generated during routine care. The German Federal Commissioner for Data Protection therefore waived the need for ethical approval for the ClinSurv study. No written informed consent is required from patients.
The overall person-days observed from persons receiving any antiretroviral treatment between 2006 and 2013 in the CSH were analysed and categorised into three groups: medications that contained approved drugs, medications that contained at least one non-approved drug, and interrupted therapy. In the first group, we distinguished between regimens that did include a TCM and those without TCM. The numbers of all of these groups were calculated quarterly. Treatment interruption was defined as any observation time between therapy initiation and latest observed event with documented treatment discontinuation.
For the analysis of ART regimen in the CSH we separated mainly used regimens and minor regimens. Mainly used regimens were either defined as ART regimen containing two or three NRTIs and another drug class (NNRTIs, PIs, INIs) or two or three NRTIs exclusively. Minor regimens were those including more than three NRTIs and NRTI-free regimen.

Combination of data sources

Determining the number of people living with HIV receiving ART

The number of prescribed DDDs of TCMs derived from ART prescription data was used to determine the number of people living with HIV receiving quarterly SHI-covered TCM containing ART in Germany. The proportion of persons covered by SHI was calculated for each federal state based on the number of persons with SHI and the population number of the respective state. To account for patients without SHI (including those privately insured, uninsured, or receiving free medical care) whose prescriptions were not covered in the APD, the number of patients was raised in average by a weighted factor of 16.3% [34]. By adding the numbers of person-days of non-TCM ART segments derived from the CSH, we determined the total number of people living with HIV receiving quarterly ART in Germany. In addition, considering the proportion of person-days with treatment interruption seen in the CSH yielded the number of patients in Germany with ART experience. For an overview of the investigated data sources, see Figures 1 and 2.
The estimated number of HIV-infected persons with ART experience was smoothed using a negative binomial regression with quadratic time trend in the period of 2006 to 2013. The statistical errors of these numbers were assumed to be independent. The independent variables considered in the negative binomial regression were the time - measured in quarters since the first quarter in year 2006 - and the square of this time. The latter variable allowed us to adjust for a slowing down of the exponentially increasing trend in the recent years.

Results

ClinSurv HIV cohort (CSH)

The proportion of person-days with TCM-containing regimens reported in the CSH increased continuously over the study period, from 85% in 2006/I to 93% in 2013/IV. In contrast, the proportion of person-days with any observed treatment interruption declined from 11% in 2006/I to 2% in 2013/IV. The proportion of person-days with an antiretroviral regimen that contained non-approved drugs decreased from 6% in 2006/I to 2% in 2013/IV (Table 1).
Table 1
The German ClinSurv HIV cohort in the study period 2006–2013
Year/quarter
Patients under observation
Patients under ART time
Observation time
Time under ART or interruption
ART status unknown
Art naive
ART regimens with approved drugs exclusively
ART regimens containing non-approved drugs
Treatment interruptions
ART experienced
TCMs in the CSH
Proportion of interruptions
 
N
Days
   
2006/I
8717
6986
753553
613673
8211
131728
516827
29909
66937
81.4%
84.5%
10.9%
2006/II
8856
7104
773115
630625
7907
134629
533732
32431
64462
81.6%
85.3%
10.2%
2006/III
9002
7214
792169
646716
7742
137766
547485
36102
63129
81.6%
86.2%
9.8%
2006/IV
9075
7281
803312
655415
7530
140415
558719
36453
60243
81.6%
87.0%
9.2%
2007/I
9267
7434
798257
652832
7219
138281
560733
33462
58637
81.8%
87.7%
9.0%
2007/II
9407
7552
820040
671081
7345
141682
579930
33382
57769
81.8%
88.4%
8.6%
2007/III
9564
7689
844690
690514
7304
146945
595635
38313
56566
81.7%
89.1%
8.2%
2007/IV
9683
7828
855138
704369
6948
143877
609239
39403
55727
82.4%
89.5%
7.9%
2008/I
9758
7937
853480
705518
6344
141676
619880
31297
54341
82.7%
89.8%
7.7%
2008/II
9903
8069
863850
716324
5985
141595
632750
31325
52249
82.9%
90.4%
7.3%
2008/III
10031
8206
884551
737289
5895
141423
656479
28383
52427
83.4%
90.7%
7.1%
2008/IV
10124
8340
896771
752357
5982
138495
678973
22195
51189
83.9%
91.0%
6.8%
2009/I
10222
8484
886182
747140
5303
133792
677700
21820
47620
84.3%
91.3%
6.4%
2009/II
10384
8624
910943
769502
4859
136659
700526
21972
47004
84.5%
91.6%
6.1%
2009/III
10569
8814
934456
791390
4779
138362
722970
22322
46098
84.7%
91.8%
5.8%
2009/IV
10697
8989
946177
808947
4660
132635
742278
22853
43816
85.5%
92.0%
5.4%
2010/I
10799
9140
936276
805104
4473
126765
741693
22313
41098
86.0%
92.3%
5.1%
2010/II
10956
9290
958828
827947
4376
126573
768583
21791
37573
86.3%
92.4%
4.5%
2010/III
11123
9468
980925
849665
4289
127041
792663
21195
35807
86.6%
92.4%
4.2%
2010/IV
11171
9617
989771
865271
3898
120674
808229
22985
34057
87.4%
92.3%
3.9%
2011/I
11258
9761
974608
859468
3418
111790
803378
24123
31967
88.2%
92.3%
3.7%
2011/II
11333
9870
994656
880602
3347
110776
824465
25470
30667
88.5%
92.3%
3.5%
2011/III
11467
10030
1013429
901100
3305
109118
845603
26049
29448
88.9%
92.4%
3.3%
2011/IV
11480
10089
1021398
910156
3063
108245
857736
24301
28119
89.1%
92.5%
3.1%
2012/I
11588
10196
1014121
906295
3068
104831
858296
21730
26269
89.4%
92.6%
2.9%
2012/II
11612
10261
1019125
914177
2916
102114
867192
20862
26123
89.7%
92.6%
2.9%
2012/III
11651
10338
1032814
929619
2661
100626
883234
21460
24925
90.0%
92.4%
2.7%
2012/IV
11574
10334
1023954
925347
2423
96245
882817
20421
22109
90.4%
92.5%
2.4%
2013/I
11428
10229
980141
890397
2109
87707
852262
18571
19564
90.8%
92.7%
2.2%
2013/II
11092
9978
960764
876969
1508
82345
843148
16594
17227
91.3%
92.8%
2.0%
2103/III
10760
9725
879002
804520
1199
73313
775500
14296
14724
91.5%
92.7%
1.8%
2013/IV
8358
7610
363973
331301
621
31848
317585
7227
6489
91.0%
92.5%
2.0%
Determined patient numbers, observation time and proportions of treated patients as well as TCM use and treatment interruptions in the ClinSurv HIV cohort.
The exact composition of ART regimens of the CSH is shown in Figure 3. The proportion of non-TCM regimen among NRTI/NNRTI and NRTI/PI dramatically decreased over the study period. Non-TCM regimens were most frequently observed among minor regimen which was the only group with a slight increase of only 1% over the study period. The differentiated analyses of the group minor regimens without TCM showed that over the study period, the proportion of any non-TCM-NRTI containing regimen (TCM-NRTI [+X]) as well as the proportion of regimens consisting of two PIs or PI monotherapy decreased, whereas the dual combinations PI/AI, PI/II and other NRTI-free regimens increased continuously from 2007 to 2013 (Figure 4).

Antiretroviral prescription data (APD)

The number of TCM-containing prescriptions increased from 1,778,070 prescribed DDDs in 2006/I to 3,838,620 prescribed DDDs in 2013/IV.
Taking into account the number of days per quarter led to the number of patients receiving SHI covered TCM containing ART. We observed a systematic seasonal variation, with a disproportionately high number of prescriptions in the last quarter of each year. The number of patients receiving SHI covered TCM-containing ART increased from 19,756 persons in 2006/I to 41,724 persons in 2013/IV. The proportion of persons covered by SHI was different in the respective federal states and ranged from approximately 80% to 90%. The weighted proportion of persons covered by SHI used for the calculation was on average 83.7% over the study period (Table 2).
Table 2
German population, SHI coverage and calculated weighted SHI-coverage factor
Year/quarter
German population
Number of people in SHI
SHI-coverage nationwide
Weighted SHI-coverage factor
2006/I
82314906
70013157
85.1%
83.2%
2007/I
82217837
70022112
85.2%
83.5%
2008/I
82002356
69952132
85.3%
83.4%
2009/I
81802257
69719142
85.2%
84.1%
2010/I
81751602
69473638
85.0%
84.3%
2011/I
81843743
69311329
84.7%
83.3%
2012/I
81843743*
69398840
84.8%
83.9%
2013/I
81843743*
69521912
84.9%
84.0%
*updated data for 2012 and 2013 not available yet.

Determining the number of people living with HIV receiving ART

After accounting for patients without SHI by adding 16.3% to the patient numbers derived from APD, the numbers of people living with HIV receiving TCM-containing ART in Germany were 23,751 in 2006/I and increased to 49,719 in 2013/IV. By compensating for regimens not containing TCMs, the number of all people living with HIV receiving ART was estimated at 28,101 in 2006/I and increased continuously to 53,776 in 2013/V. Taking into account those who had interrupted therapy led to the total number of HIV-infected people with ART experience in Germany. Due to the observed seasonal variation, we smoothed the trend by using a negative binomial regression with quadratic time trend. The total number of all HIV-infected people with ART experience in Germany increased from 31,500 (95% CI 31,000-32,000) in the first quarter of 2006 to 54,000 (95% CI 53,000-55,500) individuals by the end of 2013 (Table 3 and Figure 5). The average difference between the number of patients in Germany who had initiated ART and those who had left observation because of emigration or death was estimated to be an average of 2,900 persons per year.
Table 3
Step by step calculated data underlying the estimation of the number of people living with HIV receiving ART in Germany, 2006 to 2013
Year/quarter
Days per quarter
DDDs of TCM from APD
Persons receiving SHI-covered TCM
Weighted SHI-coverage factor
People living with HIV treated with TCM
TCMs in the CSH
People living with HIV receiving ART in Germany
Proportion of interruptions in the CSH
HIV-infected people with ART experience in Germany (PT_E)
PT_E statistically smoothed
95% CI
95% CI
PT_E smoothed and rounded N (95% CI)
2006/I
90
1778070
19756
83.2%
23751
84.5%
28101
10.9%
31547
31505
30796
32229
31500 (31000-32000)
2006/II
91
1910070
20990
83.2%
25222
85.3%
29586
10.2%
32953
32198
31559
32848
32000 (31500-33000)
2006/III
92
1975770
21476
83.1%
25824
86.2%
29960
9.8%
33203
32896
32321
33480
33000 (32500-33500)
2006/IV
92
2114310
22982
83.1%
27641
87.0%
31757
9.2%
34971
33600
33082
34125
33500 (33000-34000)
2007/I
90
1982490
22028
83.5%
26385
87.7%
30092
9.0%
33064
34310
33838
34787
34500 (34000-35000)
2007/II
91
2106480
23148
83.3%
27776
88.4%
31434
8.6%
34396
35024
34588
35465
35000 (34500-35500)
2007/III
92
2174850
23640
83.3%
28383
89.1%
31844
8.2%
34687
35743
35330
36159
35500 (35500-36000)
2007/IV
92
2326950
25293
83.3%
30377
89.5%
33926
7.9%
36841
36467
36066
36872
36500 (36000-37000)
2008/I
91
2204460
24225
83.4%
29023
89.8%
32312
7.7%
35009
37195
36794
37600
37000 (37000-37500)
2008/II
91
2418270
26574
83.5%
31814
90.4%
35196
7.3%
37964
37926
37516
38339
38000 (37500-38500)
2008/III
92
2498580
27158
84.3%
32211
90.7%
35508
7.1%
38226
38661
38237
39089
38500 (38000-39000)
2008/IV
92
2680710
29138
84.2%
34578
91.0%
38009
6.8%
40781
39399
38957
39845
39500 (39000-40000)
2009/I
90
2562540
28473
84.1%
33844
91.3%
37072
6.4%
39595
40139
39678
40604
40000 (39500-40500)
2009/II
91
2719650
29886
84.1%
35529
91.6%
38809
6.1%
41336
40882
40403
41366
41000 (40500-41500)
2009/III
92
2792580
30354
84.3%
36015
91.8%
39239
5.8%
41667
41627
41132
42127
41500 (41000-42000)
2009/IV
92
2980560
32397
84.0%
38544
92.0%
41876
5.4%
44274
42374
41866
42887
42500 (42000-43000)
2010/I
90
2829630
31440
84.3%
37290
92.3%
40385
5.1%
42556
43121
42605
43643
43000 (42500-43500)
2010/II
91
2952420
32444
84.0%
38619
92.4%
41794
4.5%
43783
43869
43348
44396
44000 (43500-44500)
2010/III
92
3060450
33266
84.1%
39564
92.4%
42800
4.2%
44681
44618
44096
45146
44500 (44000-45000)
2010/IV
92
3208470
34875
84.0%
41494
92.3%
44947
3.9%
46790
45367
44847
45892
45500 (45000-46000)
2011/I
90
3021690
33574
83.3%
40316
92.3%
43696
3.7%
45388
46115
45599
46636
46000 (45500-46500)
2011/II
91
3162900
34757
83.2%
41771
92.3%
45256
3.5%
46888
46862
46349
47379
47000 (46500-47500)
2011/III
92
3301830
35889
83.2%
43160
92.4%
46721
3.3%
48301
47607
47095
48124
47500 (47000-48000)
2011/IV
92
3414960
37119
83.2%
44619
92.5%
48217
3.1%
49756
48351
47832
48874
48500 (48000-49000)
2012/I
91
3268320
35916
83.9%
42827
92.6%
46271
2.9%
47652
49092
48555
49634
49000 (48500-49500)
2012/II
91
3356700
36887
83.8%
44007
92.6%
47543
2.9%
48944
49831
49260
50407
50000 (49500-50500)
2012/III
92
3447960
37478
83.6%
44816
92.4%
48483
2.7%
49819
50566
49942
51197
50500 (50000-51000)
2012/IV
92
3632040
39479
83.6%
47240
92.5%
51089
2.4%
52344
51298
50599
52006
51500 (50500-52000)
2013/I
90
3467760
38531
84.0%
45861
92.7%
49478
2.2%
50591
52026
51230
52834
52000 (51000-53000)
2013/II
91
3657690
40194
84.0%
47861
92.8%
51555
2.0%
52585
52748
51834
53677
52500 (52000-53500)
2103/III
92
3768660
40964
84.0%
48791
92.7%
52657
1.8%
53639
53466
52413
54539
53500 (52500-54500)
2013/IV
92
3838620
41724
83.9%
49719
92.5%
53776
2.0%
54849
54178
52967
55416
54000 (53000-55500)

Discussion

We estimated the number of people living with HIV who received ART based on SHI prescription data and on ART history data from the CSH. An underlying assumption was that the ART regimens and treatment interruptions recorded in the CSH would similarly apply to HIV-infected people outside of the cohort and that the prescription numbers in the APD would be comparable with all people living with HIV in Germany.
In the 2006–2013 observation period, substantial increases were observed for the number of people living with HIV receiving ART and for the number of HIV-infected people with ART experience in Germany. Concomitantly, the use of regimens that included TCMs increased continuously, whereas treatment interruptions in the CSH decreased remarkably.
In an earlier estimation approach by Kollan et al., the calculation was based on the daily drug dosages of all substances. In our opinion, the new approach of calculating the number of individuals based mainly on unambiguous drugs (TCMs in this study) offers a simple and appropriate method that could be further adapted for other investigations.
At the beginning of the observation period, the percentage of CSH regimens that did not include TCMs was 15%, and it decreased by half over time.
In Germany and other industrialised countries with a large number of available antiretroviral drugs, the share of TCMs would need to be taken into account when using this approach to estimate the number of people living with HIV under antiretroviral treatment. However, in countries with fewer antiretroviral drug options, the number of people living with HIV receiving ART could potentially be calculated exclusively using the number of delivered TCMs, which would be a reliable and simple estimation method. Assuming that the proportion of TCM use in Germany will continue to increase, this approach could become even more effective for calculating German estimates.
The total number of all HIV-infected people with ART experience in Germany was estimated to be 31,500 in the first quarter of 2006 and increased continuously to 54,000 individuals by the end of 2013. According to our estimation, the observed study population of the CSH represents more than 20% of all treated patients in Germany. In the CSH all patients who are seen in the centres are automatically included into the cohort without the need for written informed consent. The CSH is therefore the least biased source available and is the largest nationwide cohort of HIV-positive patients. Nonetheless, the CSH in this study is only used to determine the corresponding proportion of non-TCM and treatment interruptions. In our opinion, the demographics do not affect the TCM proportion of those with access to ART. In order to verify this approach with regard to more uncommon ART regimens and first-line subsequent regimens we analysed the composition of regimens of the CSH patients. As shown, the vast majority of ART regimens in the CSH are main regimens which include two or three NRTIs and another drug class such as NNRTIs, PIs, INIs (Figure 3). This applies for first-line therapies as well as for following regimens considering we pooled all data of CSH patients together for the analysis of ART regimens, and therefore regimens after first-line therapy naturally had a greater impact. Non-TCM regimens were most frequently observed within the group minor regimen which was also the only group with a slight increase of only 1% over the study period. Until 2010, within the minor regimen group double or mono PIs and non-TCM-NRTI containing regimens were most frequently observed, and from 2010 to the end of the observation period NRTI-sparing regimens, e.g. PI/AI and PI/INI continuously increased. If the prescribing patterns regarding regimens without TCMs would change in the future then this would have to be considered for our approach. However, this is not the case for the described study period.
It is interesting to note the considerable decline in CSH treatment interruptions. This reflects recent findings showing that there are more risks than benefits from so-called drug holidays [35-37]. In current HIV treatment guidelines, structured treatment interruptions are no longer recommended and are only considered individually under special circumstances [38]. However, currently between 2% of interruption time is apparently an inevitable fact.
In the APD data, we observed a systematic seasonal effect, with the fewest prescriptions at the beginning of each year and the most by the end of the year. We speculate that this effect may be caused by differing patient demand driven by practical considerations with regard to the beginning of the new year (i.e., Christmas holidays, closing of medical offices) and/or prescription co-payments whose reimbursements depend on the annual amounts of all individual co-payments within a calendar year.
Our approach may lead to an overestimation of the number of people receiving continuous ART by patients receiving only short-term ART. This might be relevant in case of discontinuation of therapy early in a quarter or when patients received a PEP.
When a person discontinued therapy before the medication was consumed, we counted that person as someone who was treated, but this person would not get prescriptions in the next quarter, and the overestimation would have been offset in the next billing period.
Representative data regarding the number of PEP prescriptions are rare. Studies regarding PEP are often performed in certain populations with limited significance for the general public. To account for the overestimation resulting from PEP prescriptions, we attempted to determine the number of PEP prescriptions using available studies and sources. We assumed that most PEP prescriptions would come from physicians who were authorised for the special care of patients with HIV/AIDS according to the HIV/AIDS Quality Assurance Agreement (§ 135 para 2 SGB V). According to our findings, the number of PEP prescriptions was estimated to be approximately 2400–2800 per year in Germany [39,40]. Considering that 12 PEP prescriptions are necessary to result in one patient treated per year, an overestimation of approximately 200 to 233 patients in total could have occurred. In terms of the total number of approximately 54,000 people living with HIV receiving ART in Germany, the resulting overestimation would be comparatively small.
On average, the increase in the number of people living with HIV receiving ART was approximately 2,900 persons per year in Germany. This increase should not be confused with the number of persons who initiated therapy, but rather represents the difference between people who initiated ART and those who discontinued treatment because of emigration or death. Thus, the true number of persons who began treatment is probably higher than the observed difference.
The proportion of people covered by PHI differed among the federal states. Those federal states with higher PHI coverage, e.g. City-States, tend to be those with a higher number of prescriptions. We therefore used a weighted SHI-coverage factor based on the data for each federal state and applied it to the antiretroviral prescription data in order to improve the estimates. Using the nationwide SHI-coverage factor would underestimate the total number by 1.6% (N = 650 persons).
With this study, we provide a nationwide estimate and a useful tool for calculating the number of people living with HIV who received ART, those with ART experience and the increase in ART usage between 2006 and 2013 in Germany using the available number of prescriptions and surveillance data from the CSH.
This approach can be useful to estimate the number of people living with HIV and those receiving ART in other countries. Additionally, the described methodology could potentially be used and adapted for other investigations or medications in the future.

Limitations

The described approach has some limitations. One limitation is an overestimation resulting from the cases that were discussed above. Of those cases, the number of PEP prescriptions is the most uncertain, which could be the main limitation.
Overall, our aim was to estimate the number of treated patients among all persons with access to ART. We do not aim to, and therefore do not, estimate the number of non-treated patients among all people infected with HIV in Germany.
Lamivudine is approved for the treatment of hepatitis B with a dose of 100 mg once daily for persons not infected with HIV. The use of lamivudine with approval for HIV therapy (150 mg and 300 mg) in the treatment of hepatitis B of HIV-negative individuals attributable to economic considerations cannot be excluded. However, the off-label use of HIV-labelled lamivudine would require an alternative dosing regimen by administration on alternating days and/or by dividing the pills, which we consider impractical in reality.
A limitation with regard to applying this approach in the future is that if TCM prescribing patterns, such as the currently discussed dual NRTI-sparing therapies, or other treatment practices significantly change, the impact of a second source (in our case, the CSH) on the estimate would be greater.

Conclusions

This report describes the first comprehensive approach to estimating the number of people living with HIV who receive ART. The study provides a possible approach for determining the number of people receiving specialised HIV medical care in Germany. This method allows for contrasting the numbers of people living with HIV receiving ART derived from different sources or estimation approaches. This approach can be useful to estimate the number of people living with HIV and those receiving ART in other countries. The described methodology could be used and adapted for different investigations or medications in the future. Non-TCM regimens and CSH treatment interruptions declined notably. Assuming that this trend will continue in the future, the number of people living with HIV receiving ART could be estimated exclusively using TCM-containing prescriptions. In other settings with fewer available antiretroviral drugs, the estimation would be even more robust.
It is also of interest to note trends in antiretroviral therapy with regard to NRTI-free regimens. In this context, the relevance of data from cohort studies remains very high for observing and assessing such developments.

Acknowledgements

The authors are grateful to the patients who joined the ClinSurv HIV cohort and to all collaborative treatment centres. The authors would like to thank Viviane Bremer for her helpful and constructive comments on the manuscript. We are grateful to Katie Ann Jacques for her critical feedback and advice on this article.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​4.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

DS contributed to the conception of the study and interpretation of the data, performed the data analysis and statistical analysis and drafted the manuscript. CK was responsible for the study design, devised the estimation approach, performed the data analysis and interpretation of the data, was responsible for database management and helped to draft the manuscript. MH performed the negative binomial regression with quadratic time trend. OH was responsible for the design and implementation of the CSH and supported the overall analysis approach and the writing of the manuscript. BB supported the management and coordination of the study, served as the CSH study coordinator, contributed to improving data quality and coverage and helped to draft the manuscript. AK managed the data collection. MS, H-JS, AP, GF, FB, JB, JvL, JR, SE, B-EJ, H-AH, CF contributed reagents/materials/analysis tools and data. All authors participated in the critical discussion of the results, and all read and approved the final manuscript.

Authors’ information

Daniel Schmidt and Christian Kollan are joint first authors.
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Metadaten
Titel
From pills to patients: an evaluation of data sources to determine the number of people living with HIV who are receiving antiretroviral therapy in Germany
verfasst von
Daniel Schmidt
Christian Kollan
Matthias Stoll
Hans-Jürgen Stellbrink
Andreas Plettenberg
Gerd Fätkenheuer
Frank Bergmann
Johannes R Bogner
Jan van Lunzen
Jürgen Rockstroh
Stefan Esser
Björn-Erik Ole Jensen
Heinz-August Horst
Carlos Fritzsche
Andrea Kühne
Matthias an der Heiden
Osamah Hamouda
Barbara Bartmeyer
ClinSurv Study Group
Publikationsdatum
01.12.2015
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2015
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-1598-4

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