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  • Research article
  • Open Access
  • Open Peer Review

Associations between perceived barriers and benefits of using HIV pre-exposure prophylaxis and medication adherence among men who have sex with men in Western China

  • 1,
  • 1Email author,
  • 1,
  • 1,
  • 2,
  • 3,
  • 4 and
  • 5
BMC Infectious Diseases201818:575

https://doi.org/10.1186/s12879-018-3497-7

  • Received: 7 April 2018
  • Accepted: 1 November 2018
  • Published:
Open Peer Review reports

Abstract

Background

To investigate the associations between the perceived barriers and benefits of using HIV pre-exposure prophylaxis medication, including worries about the side effects, disliking taking drugs, perceived burden of taking medication, positive expectations as to the efficacy of the drugs, favourable doctor-patient relationships, and medication adherence among men who have sex with men (MSM) to provide a target for improving medication adherence and reducing HIV infection among MSM.

Methods

MSM were recruited in western China from April 2013 to October 2014, administered oral tenofovir (TDF) daily and followed up every 12 weeks for 2 years. At each follow-up, the medication rate was calculated based on the self-reported number of missed doses over 2 weeks, and then, the medication adherence was evaluated. The barriers and benefits perceived during medication were obtained by a self-administered questionnaire, and their effects on medication adherence were analysed by linear mixed models.

Results

A total of 411 participants were enrolled in this study, and 1561 follow-up observation points were obtained. The average medication rate was 0.62 ± 0.37, and the medication rate increased with longer follow-up (P < 0.05). The medication rate was higher among MSM who were divorced (compared to those who were unmarried, P < 0.0001). MSM with more positive expectations as to the efficacy of the drugs showed higher rates of medication (P < 0.0001), while those who were more worried about side effects had a lower medication rate (P = 0.0208). In contrast, the dislike of taking the drugs and the burden perceived during medication had no effects on the actual medication rate of taking TDF (P > 0.05).

Conclusion

How to obtain and maintain high medication adherence among MSM is the key to the PrEP intervention strategy for effective reduction of HIV infection. For MSM in China, we should deepen their understanding of the effectiveness and safety of PrEP and increase their confidence in PrEP, thereby improving their medication adherence.

Trial registration

ChiCTR-TRC-13003849. Registered on 24/06/2013.

Keywords

  • Pre-exposure prophylaxis, PrEP
  • MSM
  • Adherence
  • Barriers and benefits

Background

The report of the Joint United Nations Program on HIV/AIDS [1] points out that the number of HIV infections reached 1.8 million in 2016 and men who have sex with men (MSM) have a higher risk of infection. The Progress Report on AIDS Prevention and Treatment in China [2] shows that the HIV epidemic currently maintains a low- prevalence trend, with a higher-prevalence among MSM, especially in the western part of China [3]. In 2006, MSM accounted for 2.5% of new HIV infections in China, and the rate increased dramatically to 25.5% in 2017 [4, 5].

Pre-exposure prophylaxis (PrEP) has been considered the most promising biomedical HIV prevention strategy so far. The antiviral drug tenofovir (TDF) used in PrEP and combined therapy with TDF and emtricitabine (TDF-FTC) have been approved by the USFDA as preventive drugs for the MSM population [6], and in 2014, comprehensive PrEP guidelines were released [7]. Many international clinical studies have shown the effectiveness of PrEP in different groups, including MSM [810], women [11] and injection drug users [12, 13].

In addition, studies have also suggested that adherence to medication is crucial for the efficacy of PrEP [9, 11, 1416]. The iPrEP study demonstrated that the once-daily oral PrEP drug resulted a 44% reduction in the incidence of HIV among MSM and transgender women, while pill use on 90% or more of days showed greater protection (73%), and it increased to 92% efficacy for participants with detectable drug levels [10]. However, a study conducted among African women unable to show the efficacy of oral PrEP due to their low adherence levels [17]. Therefore, an investigation into barriers and facilities associated with adherence to PrEP is required.

Factors from the perspectives of social, behavioural and psychological areas associated with PrEP adherence have been identified in clinical trials [9, 1820]. However, in China, only one open-label clinical trial has been conducted among HIV-uninfected MSM in western China to assess the efficacy and safety of oral TDF in preventing HIV infection [21], but little is known about the barriers and facilities of PrEP adherence in China. Based on the fact that PrEP clinical trials have not been widely conducted in China, assessing participants’ feelings and attitudes during medication among the very first group of people involved in taking PrEP drugs is important and necessary. For instance, participants who perceive that there are side effects of drugs tend to show low adherence to medication, while sound doctor-patient relationships are a facilitator of adherence [22, 23].

Therefore, in this study, we aimed to investigate the changes in barriers and benefits that HIV-uninfected MSM perceive during the course of medication and examine the associations between perceived barriers and benefits of oral PrEP and actual medication adherence to provide a basis and some guidance for application and promotion of PrEP strategies among MSM in China.

Methods

Participants and study design

Participants were recruited from Chongqing, Sichuan, Xinjiang and Guangxi by non-probability sampling from April 2013 to October 2014, including via publishing information on gay websites and cooperating with non-governmental organizations. Inclusion criteria: (1) MSM aged 18–65 years; (2) self-reported negative or unknown HIV status; (3) had engaged in sex with male partners at least every two weeks; (4) had at least one or more same-sex partners one month before the trial; and (5) willing to take medicine under guidance and comply with follow-up arrangements. Exclusion criteria: (1) HBsAg- or anti-HBc-positive, (2) having a serious illness that investigators considered could possibly interfere with the interventions, follow-ups or assessments of the participants; (3) advanced cancer; (4) alcohol abuse within one year before entering the study; (5) receiving other drugs 3 months prior to screening; and (6) having a history of severe allergies.

A total of 575 MSM eligible were enrolled in the daily TDF group after the screening, and they were informed about the purpose and content of the study as well as the possible benefits and risks. All participants signed the informed consent and were given standard HIV prevention interventions, including HIV testing, counselling to reduce the risk of HIV infection, free condom distribution, and STI management.

Procedures

Participants were asked to fill in the self-administered quantitative questionnaire for the baseline survey and at each follow-up conducted every 12 weeks, inquiring about their feelings or attitudes during medication, the number of missed pills, as well as the occurrence of adverse events within the last two weeks during the follow-up. In addition, HIV-1 serological detection, blood biochemical examination and haematological examination were performed. At each follow-up, a new round of drugs was supplied. In addition, every two weeks, our trained investigators contacted participants though QQ or telephone to learn about their medication use and provide counselling on adherence.

Participants stopped using the medication if one of the following occurred: confirmed HIV infection; serious adverse reactions; failure to participate in follow-up, planning to leave the research study, or other reasons; or medicine withdrawal for personal reasons.

This study follows the Declaration of Helsinki and Good Clinical Practice and has been approved and supervised by the Ethics Committee.

Measures

Demographic characteristics

Participants reported their age, household registration, educational level, marital status and average monthly income in the baseline survey.

HIV-related characteristics

HIV-related characteristics included HIV counselling or testing previously, threat perception of HIV, and HIV knowledge, which was addressed by 13 questions concerning HIV infection and transmission (1 point for correct answer, 0 for incorrect answer; the total scores≥11 points was regarded as a high level of HIV knowledge). Additionally, the number of male sexual partners, the frequency of looking for sexual partners through the Internet and whether they had been diagnosed with sexually transmitted diseases (STDs) by doctors in the past six months were assessed in the baseline survey.

Perceived barriers during medication

The barriers included a dislike of taking the drugs, worries about the drug’s side effects, and the sense of burden perceived during medication. Participants were asked about the barriers perceived when taking TDF in the face-to-face follow-up surveys every 12 weeks. The barriers were rated as 1 point (not at all) to 5 points (always), and participants rated them according to their feelings during medication.

The dislike of taking drugs was made up of 3 items, including “I don’t like the taste”, “I don’t like the formulation” and “I think the drugs are hard to swallow”. Then, the average score of the three was taken. Standard Cronbach’s α coefficient varied between 0.72 and 0.79 over eight time points.

In addition, the sense of burden perceived during medication was evaluated by “I’m worried about that sexual partners know that I’m taking medicine”, and the worries about the drug side effects were accessed by “I’m worried about drug side effects” directly both at baseline and during follow-up.

Perceived benefits during medication

The benefits included positive expectations to medication and favourable doctor-patient relationships at baseline and during the follow-up surveys.

Participants were asked to provide an answer in response to “I think the drugs kept me safe from AIDS” to evaluate the positive expectations to medication, with the answer scored with 1 point (not at all) to 5 points (always).

The doctor-patient relationship consists of two items: “Doctors here are friendly to me, and they care about my health,” and “I trust the doctors here.” The Cronbach’s α coefficient was 0.71 at baseline and varied between 0.74 and 0.91 over the eight time points.

Definition of adherence

We used the medication rate in the last two weeks to assess the adherence of the participants. At each follow-up, the participants were asked to answer whether they missed some doses or not and to fill in the number of missed doses if they did. Medication rate = (14 − number of missed doses)/14, between 0 and 1.

Statistics analysis

The enumeration data including demographic characteristics were expressed as frequency and rate, while measurement data were expressed as \( \overline{X}\pm S \), median and range. Longitudinal data were analysed using a linear mixed model (LMM), reporting the β coefficient and 95% confidence intervals (95% CI). LMM was used to assess the change in medication rate over the follow-up and to evaluate which variables were associated with the trend of change. The medication rate in each follow-up was used as the outcome variable to fit the null model and the random intercept-slope model. After the addition of the level 1 explanatory variable (scores of the barriers and benefits perceived during medication) and the level 2 explanatory variable (demographic characteristics), the final model was fitted. The modelling of the linear mixed models was conducted using the Proc Mixed of SAS software. All statistical analyses were performed using SAS 9.4 software and SPSS 22.0 software. P < 0.05 was considered to have statistical significance.

Results

Of 575 participants who completed the baseline survey in the TDF group, 141 who did not participate in at least one follow-up and 23 who did not report the number of missed doses at least once were excluded. Thus, a total of 411 MSM involved in at least one follow-up with a maximum of 8 and an average of 3.54 were included in the final analysis. A total of 1561 follow-up observation points were provided.

The demographical and HIV-related characteristics are shown in Table 1. The average age of the 411 MSM was 29.34 ± 7.85 years, and their age ranged from 18 to 61 years. Among the participants, 73.90% were urban residents, and 26.10% were rural residents; 90% graduated from high school and above, and 78.83% were unmarried. Nearly half (48.27%) had an average monthly income above 3000 yuan. The scores of HIV knowledge ranged from 0 to 13 with a median of 9, and only 26.76% had scores above 11. While 64.63 and 81.91% of participants declared that they had ever engaged in HIV counselling and testing, respectively, only 56.97% believed that AIDS is a great threat to themselves and their families. Only 40.63% had only one male sexual partner in the past six months, but only 9.34% had been diagnosed with an STD in the past six months.
Table 1

Demographic and HIV-related characteristic

Variables

Group

N

%

Age

18–25 years old

163

39.66

26–35 years old

158

38.44

older than 35 years old

90

21.90

Household registrationa

Urban

303

73.90

Rural

107

26.10

Education levela

Junior high or below

39

9.56

Senior high

116

28.43

Junior college

93

22.79

College or above

160

39.22

Marital status

Unmarried

324

78.83

Married

62

15.09

Divorced/widowed

25

6.08

Monthly income(RMB)a

≤1000

63

15.59

1001–3000

146

36.14

3001–5000

138

34.16

5001–10,000

47

11.63

≥10,001

10

2.48

HIV knowlegde score

< 11

301

73.24

≥11

110

26.76

HIV counselinga

Yes

265

64.63

No

145

35.37

HIV testinga

Yes

335

81.91

No

74

18.09

Perceived AIDS severitya

Moderate and low

135

32.93

High

275

67.07

Perceived AIDS threat to themselves and familya

Moderate and low

176

43.03

High

233

56.97

Number of male sexual partners in the past six monthsa

1

154

40.63

2

89

23.48

≥3

136

35.88

Looking for sexual partners though the Internet in the past six monthsa

Never

148

37.95

Occasionally

153

39.23

Always/Sometimes

89

22.82

Diagnosed with STD by doctors in the past six monthsa

Yes

38

9.34

No

369

90.66

aPartially missing data (numbers might not add up to the total because of missing data)

The scores of the barriers and benefits participants perceived at baseline and during the follow-up are shown in Table 2. The changes in the scores of “worries about drug side effects” and “positive expectation about the efficacy of the drugs” over the follow-up are shown in Fig. 1. At baseline, when participants had not yet started to take PrEP, the score for “worries about drug side effects” was 2.97 ± 1.15, but it showed a decreasing trend during the follow-up. Participants had a relatively high expectation about the efficacy of the drugs at baseline (3.17 ± 1.36), and even though the score was 2.89 ± 1.41 at first follow-up, there was an increasing trend throughout the follow-up, which reached 3.72 ± 1.37 at the end. The scores of “disliked taking drugs” and “burden perceived during medication” fluctuated at a low and moderate level throughout the follow-ups, respectively. The score of “relationships between doctor and participants” was high both at baseline (4.20 ± 1.13) and throughout the entire follow-up.
Table 2

Overall medication rate and scores of the barriers and benefits perceived during medication (mean ± sd)

 

Baseline

12 week

24 week

36 week

48 week

60 week

72 week

84 week

96 week

medication rate

Not applicable

0.57 ± 0.39

0.58 ± 0.37

0.59 ± 0.37

0.61 ± 0.36

0.70 ± 0.34

0.70 ± 0.33

0.69 ± 0.32

0.67 ± 0.39

dislike of taking drugs

Not applicable

1.69 ± 0.77

1.70 ± 0.84

1.65 ± 0.76

1.81 ± 0.87

1.75 ± 0.79

1.64 ± 0.75

1.70 ± 0.87

1.55 ± 0.77

worries about drugside effects

2.97 ± 1.15

2.90 ± 1.33

2.84 ± 1.42

2.74 ± 1.40

2.86 ± 1.45

2.76 ± 1.36

2.63 ± 1.37

2.45 ± 1.23

2.23 ± 1.07

burden perceived during medication

2.07 ± 1.23

2.23 ± 1.42

2.34 ± 1.50

2.32 ± 1.47

2.32 ± 1.53

2.54 ± 1.59

2.78 ± 1.66

2.21 ± 1.57

2.09 ± 1.41

positive expectations to medication

3.17 ± 1.36

2.89 ± 1.41

2.94 ± 1.42

2.98 ± 1.51

3.01 ± 1.54

3.17 ± 1.50

3.50 ± 1.51

3.70 ± 1.54

3.72 ± 1.37

favorable doctor patient relationship

4.20 ± 1.13

4.12 ± 1.16

3.92 ± 1.28

4.06 ± 1.24

4.02 ± 1.26

4.15 ± 1.17

4.30 ± 1.13

4.46 ± 1.03

4.52 ± 1.01

Fig. 1
Fig. 1

Graph of the changes in the scores of positive expevtations to medication and worries about the drug’s side effects and of predictive medication rate over the follow-up

The average medication rate for the entire cohort was 0.62 ± 0.37, and its changes during the follow-ups are shown in Table 2. The results of the linear mixed model used to analyse the factors associated with medication adherence are shown in Table 3. The changes of predictive medication rate over the follow-up are shown in Fig. 1. The β coefficient for “time” (meaning follow-up times and coded as 1 to 8) was significant (β = 0.014; 95% CI = 0.005–0.024), indicating that the medication rate increased slightly during the follow-up. After adjusting for potential confounding variables, participants who were divorced showed a higher medication rate (compared with those who were unmarried, β = 0.179; 95% CI = 0.047–0.311). “Positive expectations towards medication”, as a time-varying value, was positively associated with the medication rate over time (β = 0.033; 95% CI = 0.020–0.047), indicating that those with higher scores on positive expectations as to the efficacy of the medicine over time reported better adherence to medication over time. In addition, the more worried the participant was about drug side effects during the follow-up, the lower the medication rate (β = − 0.019; 95% CI = − 0.035−− 0.003). However, the dislike of taking drugs, burden perceived during medication, and the relationship between the doctor and participant showed no correlation with the medication rate (P > 0.05).
Table 3

Linear mixed model for medication rate over time

 

β

t value

P

95% CI

Variables

 Intercept

0.542

7.49

< 0.0001

0.400~ 0.683

 Time

0.014

2.87

0.0046

0.005~ 0.024

 Age

0.011

0.42

0.6717

−0.039~ 0.060

Household registration

 Rural

ref

   

 Urban

− 0.047

−1.20

0.2321

−0.123~ 0.030

 Education level

0.018

1.07

0.2837

−0.015~ 0.052

Marital status

 Unmarried

ref

   

 Married

−0.017

−0.33

0.7429

−0.116~ 0.083

 Divorced/widowed

0.179

2.65

0.0085

0.047~ 0.311

 Monthly income(RMB)

−0.010

− 0.61

0.5440

− 0.044~ 0.023

 Dislike of taking drugs

0.004

0.35

0.7267

−0.019 ~ 0.028

 Positive expectations to medication

0.033

4.81

<.0001

0.020~ 0.047

 Favorable doctor-patient relationship

−0.017

−1.94

0.0527

−0.033~ 0.001

 Worries about drug side effects

−0.019

−2.31

0.0208

−0.035~ − 0.003

 Burden perceived during medication

0.014

1.87

0.0621

−0.001~ 0.029

β: longitudinal linear regression coefficient for medication rate

Discussion

This study is among the first to examine the potential factors related to PrEP adherence among MSM in a clinical trial in China, and its findings suggest that MSM’s positive expectations towards medication was a facilitator, while their worries about drug side effects was a barrier to PrEP adherence during the whole course of medication.

In the present study, a positive expectation towards medication refers to their trust in the efficacy of the drugs, which was evaluated only at a moderate level during the first follow-up but increased as the follow-up continued. The medication rate became higher along with an increase in their expectations during the follow-up, suggesting that it is still urgent to make efforts to publicize the effectiveness of PrEP drugs. Although many clinical trials of PrEP have been conducted worldwide and TDF was first approved by the FDA as a preventive drug for the MSM population in 2012, this is the first clinical research on PrEP conducted in China and according to the previous surveys on the willingness to use PrEP among MSM in China, only 22% of MSM (308/1402) reported that they had heard of PrEP [24], and a similar rate was observed among female sex workers (16.5%, 264/1611) [25] indicating that MSM in China only have a relatively low awareness of PrEP and that the majority of them have very little understanding of this new biomedical HIV prevention strategy. Therefore, providing more clinical evidence to them may contribute to improving their adherence to medication. It has always been said that the efficacy of drugs depends on patient adherence, but efficacy and adherence may complement each other since positive expectations as to their efficacy encourages people to be more likely to take the medicine on their own initiative.

In addition, the more worried patients are about side effects, the lower the medication rate, which is consistent with not only those studies examining factors associated with willingness to use PrEP [26] but also results found in clinical trials [27, 28]. Unlike therapeutic drugs, few people would take a preventative drug if it has serious side effects, which is in line with the findings of Mustanski et al. [29] that PrEP is more likely to be used as a preventative strategy for HIV if it has a low burden of side effects and satisfactory benefits are perceived. The worries about drug side effects showed a declining trend in the MSM during the follow-ups, which may be related to the low incidence of adverse events during medication. In our entire follow-up, the main adverse events were nausea, vomiting and diarrhoea, all with a low incidence, and there were no serious adverse events reported. Therefore, in addition to positive expectations of drug efficacy affecting the medication rate, their confidence in the safety of the drugs was also an important facilitator of their medication, which suggested that we should provide them correct information about this drug, inform them of possible side effects, and help them during the follow-ups, thereby reducing their worries about the efficacy and safety of the drugs and improve their adherence to medication.

There was no relationship between disliking taking drugs and the medication rate. In our study, the dislike of taking drugs referred to disliking the drug formulation, taste and pill size. The TDF used in this study were white tablets with 300 mg/tablet. During the follow-ups, the score of the dislike of taking drugs was lowest, which means the drug formulation, taste and size were acceptable by participants to some extent.

No association between the burden perceived during medication and the medication rate was observed. We hypothesized that taking medicine would give their partners a sense that they are in HIV at-risk status, which may impact their adherence. However, we did not find any such relationship and considered that this may be related to the dosing strategy, in which daily oral drugs had more flexibility when compared with dosing ‘on demand’, another dosing strategy recommended for MSM (a double dose of TDF/FTC 2–24 h before each sexual intercourse, followed by two single doses of TDF/FTC, 24 and 48 h after the first drug intake), and with this dosing strategy (dosed ‘on demand’), Mutua et al. [30] found that the burden perceived during medication reduced adherence.

However, the average medication rate during the entire follow-up was not very high. We believed that, other than the factors that we have examined in this study, there were some other barriers that existed and impacted the medication rate. In this study, we mainly focused on some attitudinal factors during medication and examined their relationships with adherence, which could provide some guidelines as to the implementation of clinical trials in China, and thus, it is the very first step in the promotion of PrEP in China. Nevertheless, medication is a long-term process, and long-term adherence to medication may be affected by many factors. For instance, patients may forgot to take their medicine, which has been reported in some studies [28, 31] and in our study; when we asked participants why they missed their doses, some reported that they forgot to take them sometimes. Thus, in the future, interventions should be developed to help remind people to take their medicine. In addition, supplying patients with additional correct information about the benefits and potential risks of the drugs, provided to both MSM and clinicians, their confidence in the drug efficacy could increase, and at the same time, their adherence could be improved.

Limitations

There are some shortcomings in this study. First, we recruited the participants by non-probability sampling, which may lead to some bias and limit the generalizability of this study. In addition, even though we enrolled 575 MSM, 141 did not participate in at least one follow-up. However, when compared with those who were involved in all follow-ups, there were no significant differences in their attitudes (positive expectation about the efficacy of the drugs, worries about the drug side effects, the sense of burden perceived, doctor-participant relationship) in the baseline survey. The average number of follow-ups of the 411 participants was 3.5 times, and there was a certain loss to follow-up. Ensuring a high retention rate should be a priority in future clinical trials. In addition, we used the self-reported number of pills in the past two weeks to evaluate the medication rate. Self-report is the most widely used method to assess medication adherence; however, it may have some recall bias. [32]. Other approaches used in PrEP clinical trials in other countries such as pill counts, electronic monitoring device data, and blood drug level have their strengths and limitations, and therefore, a combination of two or more methods to evaluate adherence could be used in the next clinical trial [33].

Conclusion

How to obtain and maintain high medication adherence is the key in PrEP to achieve an effective reduction in HIV infection. The results of our study showed that the overall medication rate in the daily medication group is not high. Worries about the efficacy and safety of PrEP were factors influencing the medication rate. For MSM in China, we should work to increase their understanding of the effectiveness and safety of PrEP and increase their confidence in PrEP, thereby improving their medication adherence.

Abbreviations

MSM: 

Men Who Have Sex With Men Men Who Have Sex With Men

PrEP: 

Pre-exposure Prophylaxis

TDF: 

Tenofovir

TDF-FTC: 

Tenofovir and Emtricitabine

USFDA: 

US Food and Drug Administration

Declarations

Acknowledgements

We thank all participants and investigators in Chongqing, Sichuan, Xinjiang and Guangxi for their help.

Funding

This study was supported by the National Key Project for Infectious Diseases of the Ministry of Science and Technology of China (grant number 2012ZX10001007–007) and Chongqing Science & Technology Commission (No. cstc2013jcyjA10009).

Availability of data and materials

The datasets used during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

YH performed the data analyses and wrote the manuscript; XNZ was involved in the design of the study and collecting data in Chongqing, as well as the revision of the manuscript; BP, YZ, HL, JHD, JYZ was involved in the design of the study and collecting data. ALH was in charge of this study. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Ethics Committee of Chongqing Medical University has approved the study(2012010). An informed consent form was read and signed by all study participants.

Consent for publication

Not applicable.

Competing interests

The authors have declared that no competing interests exist.

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Authors’ Affiliations

(1)
Department of Health Statistics and Information Management, School of Public Health and Management, Chongqing Medical University, Chongqing, China
(2)
Department of Epidemiology and Medical Statistics, School of Public Health, Guangxi Medical University, Nanning, China
(3)
Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Xinjiang, China
(4)
Department of Epidemiology and Medical Statistics, School of Public Health, Sichuan University, Sichuan, China
(5)
Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China

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