2.4 Data collection
2.4.1 Demographic indicators
Data on gender, age, marital status, education level, medical insurances, residence, and registration status were collected.
2.4.2 Social support scale
The Scale of Social Support was adopted to evaluate the individuals’ subjective feelings about social support and care provided by the Love Home social support institute for PLWHA. This scale included 3 dimensions: subjective support, objective support, and social usefulness. Among them, objective support means objective, visible, and applicable support, including material support, social networks, and interpersonal relationships. Subjective support is defined as an emotional experience whenever they are respected, supported, and understood in the social interactions. Usage of social support indicates the extent, to which individuals use social support. When adding the above dimensions together, we got a total score for social support, in which higher scores correlate with higher levels of social support. This scale has been verified with good reliability and validity. To evaluate the impact of social support and social care model on PLWHAs’ score of social support, our study analyzed the difference of total and 3 dimensions of scores before and after the intervention (net benefit value).
2.4.3 Evaluation of medication adherence
Medication adherence was determined through face-to-face interview and by asking the following question: “In the past 30 days, how many times did you take your medications within 1 hour of the set time.” Participants’ answers were categorized according to the following scores: “never” = 1, “seldom” = 2, “less than half of the time” = 3, “around half of the time” = 4, “more than half of the time” = 5, and “always within 1 hour of the set time” = 6. When adding the above numbers together, we got a total score for medication adherence correlating between higher scores and higher level of medication adherence. The net benefit value of adherence was calculated by the methods described above. In addition, the correlation between social support scale and medication adherence was evaluated.
2.5 Statistical methods
Data were entered twice to the statistical program of Epidata 3.0 to ensure accuracy. SPSS 19.0 was adopted for data analysis, and the chi-squared test was used to compare the distribution of the social demographic indicators between infected individuals and AIDS patients. The paired t test or nonparametric test was conducted to compare the difference of total score and each dimension score of social support scale and the medication adherence scale before and after intervention. Pearson or Spearman correlation test was used to analyze the correlation between net benefit value of social support and adherence. Multifactor linear regression was adopted to evaluate the influence of medication adherence score exerted by social support score by controlling the demographic indicators. All P value < .05 was considered statistically significant difference.
2.6 Ethics review
The study followed the principles outlined in the Declaration of Helsinki. The patients received both written and oral information about the study before they gave their informed consent. In the information, it was emphasized that participation was voluntary and could be terminated at any time during the study. The patients were also assured about confidentiality. Permission for the study was obtained from the Ethical Review Board in You-An Hospital Ethics Committee (Reg. No. Jingyoukelunzi  No.7).
3.1 Participant characteristics
In the study, 243 eligible PLWHAs were finally selected and recruited into intervention group. At the baseline survey, 7.6% of the 243 eligible participants were classified as having AIDS. Most patients were men. Patients with HIV were mostly between the ages of 21 to 30 years, while AIDS patients were generally between the ages of 31 to 40. PLWHAs were mostly single, with a college level of education, obtained medical insurance through their work, and were nonmigrants (Table 3).
3.2 Net benefit value of social support and medication adherence
Our results showed that there were significant differences in the total score and the subjective support score after the intervention (t = −3.62, −2.81, P < .05). Before the intervention, the total social support score was 22.52 ± 5.29 points, while after intervention the score increased to 23.98 ± 5.96 points, which indicated that total social support score and subjective support were significantly higher than that before the intervention. This signified in depth that the mode of social support and care-giving could probably exert influence to improve the total score and subjective support score. Conversely, objective support and support utilization scores showed that there were no statistically significant changes (all P > .05). Medication adherence was increased with statistical significance after the intervention (t = 5.75, P < .05), from 5.52 ± 1.29 points before the intervention to 6.00 ± 0.00 points afterward (Table 4).
3.3 Correlation analysis between medication adherence and social support
The results of linear correlation analysis showed that there was a statistically significant correlation between the net benefit value of total social support score and that of social support utilization score, and that of medication adherence (r = 0.14, 0.12, all P < .05), with a weak correlation revealing that the net benefit value of total social support score and social support utilization score would affect the improvement of medication adherence to some extent. The net benefit value of subjective and objective support score and the difference of medication adherence score, however, showed no statistically significant correlation (all P > .05) (Table 5).
3.4 Multifactor analysis on factors related to effectiveness of mediation adherence
The multifactor linear regression results showed that self-paid status of medical insurance (reference group as urban worker insurance), Beijing nonmigrant status of residence registry (reference group as migrant population) and the net benefit value of social support utilization score had statically significant influence on that of medication adherence score (standardized β = −0.14, 0.17, 0.16, all P < .05), which indicated that the net benefit value of medication adherence of the self-paid PLWHAs was 0.14 times lower than that of those participants with urban worker insurance, and the net benefit value of medication adherence score of the registered Beijing residence population has a 0.17 times higher than that of those migrant PLWHAs, with the medication adherence rate rising 0.16 times for each 1 point rise in net benefit value of social support utilization score. However, our results showed that there was no statistically significant relation between other factors and the net benefit value of medication adherence (all P > .05) (Table 6).
In countries with broad access to effective antiretroviral therapy (HAART), HIV/AIDS has transformed from an acute disease often lethal in the first 2 years after AIDS illness to a chronic disease with life expectancy now measured in decades. For the PLWHA population, the adherence to the antiviral medication is crucial for survival and mostly depends on influences from the various support, including material and mental support from community, family, and friends. Hence, it is of great importance to explore the social support, social care pattern, and implement strategy toward PLWHAs.[18–21] Therefore, we designed and implemented our social support and care-giving intervention model according to the characteristics of Beijing community residence and the Love Home social support institute. Also, we have further evaluated the relationship between medication adherence and the social support level to provide more evidence to AIDS patients nursing and care.
The intervention population was composed of highly educated single young male adults with HIV infection who were predominantly native residents (nonmigrants) and had their medication covered by themselves. The social support and care-giving interventions mainly included one-on-one consultation on medication by care-givers consisting of nurses, physicians, and peer volunteer. Our results revealed good levels of intervention coverage and participation.
Our study examined a package of interventions utilizing social support to improve medication adherence. We found the intervention had a significant and positive effect on the sense of social support, as perceived by the participants. The medication adherence was positively related to the presence of the social support. This supports the role of social support and care-giving on medication adherence, although a relative weak correlation was identified, which could probably be attributed to the lack of comprehensive social care and support as well as other relevant factors not under consideration in our study. Therefore, we recommend further study to be conducted in this field.[23,24]
The multivariable linear analysis showed that the main factors related to the medication adherence were the net benefit value of utilization of social support, possession of medical insurance, and residential status, which is consistent with previous reports globally that the implementation of social support and care-giving proved to be a successful strategy that influences PLWHAs’ health.[13,14,23] Under the support and guidance of trained peer volunteers, who were HIV-infected with similar background as the participants, but with good medical adherence rates, PLWHAs’ medication adherence could effectively improve. In our study, this improvement was achieved by intermediate variables such as self-efficacy that transfers the influence of the implementation of social support to the medication adherence. The more the PLWHAs made use of the social support, the higher his/her self-efficacy was, which led to a better medication adherence.[12,25]
Our findings also suggest that except for providing proper social support, more attention should be given to encourage the PLWHA community to further utilize their social support and care-giving network. Therefore, we highly recommend a beneficial social environment should be created to encourage a higher participation for PLWHA community, in order to improve their medication adherence. As another influencing factor, the residence status should be taken into consideration, as the migrant population's medication adherence is often altered by their frequent change of treatment location, compared with the fixed registered Beijing residence. Our results further indicate that this discriminative medical insurance policy also prevents the migrant population from getting local prompt medical care. Those whose treatment is not covered by insurance have a comparatively lower medication adherence compared to the registered Beijing residence.
In summary, the article reveals that our social support and care-giving model and status of medical insurance as well as residence registry can exert multiple benefits in facilitating PLWHAs’ adherence of HAART. To further ameliorate this situation, attentions should also be paid to various social characteristics, such as medical insurance of the PLWHA population. However, limitations of this study also exist. Since the study was not a randomized community intervention trial with a parallel control group, its scientific sense was inevitably compromised to some extent. Moreover, the intervention interval was relatively short, leading to masked intervention factors that could only be accessed through a longer study period.
Based on the findings of this study, we would like to put forward the following suggestions:
- A more integrative social support and care-giving system should be provided to the PLWHA community. The government should take more responsibility to remove stigmatization and discrimination toward the HIV/AIDS population by using social activities and media publications to promote acceptance by society. More people should be motivated to join the social support system.
- Strong measures should be taken to motivate the PLWHA population to join and utilize the social support system. The medical care personnel and volunteers should operate on the community level, making use of available network platforms to inspire more PLWHAs to join and improve their medication adherence.
- Effective policy measures should be taken to improve the medical insurance coverage for the migrant population, which would improve their access to diagnosis and treatment services, lower the economical burden on the migrant PLWHA population, and encourage usage of antiviral treatment in this community.
Our article reveals that our social support and care-giving model, status of medical insurance and residence registry can exert multiple benefits in facilitating PLWHAs’ adherence of HAART. To further ameliorate this situation, attentions should also be paid to various social backgrounds as medical insurance of the PLWHA population.
The authors would like to extend our appreciation to the 243 participants of this survey. The authors would also like to thank the Office of Beijing Traditional Medicine who sponsored us for the survey. Especially we would extend our thanks to those social volunteers, nurses, physician, and peer volunteers who contributed dramatically to the process of data collection and social support and care-giving to PLWHAs.
Xing-Ming Li conceived the study design, conceptualized the ideas, and supervised the whole analytical procedure. Scottie Bussell contributed to this writing during his fellowship. Xiao-Qing Yuan conducted the study design and the data collection and supervised the manuscript writing. Jun-Jie Wang, Wan-Ying Zhang and Alon Rasooly provided technical support for drafting and revising the manuscript.
Conceptualization: Xiao-Qing Yuan, Alon Rasooly, Jun-Jie Wang.
Data curation: Xiao-Qing Yuan, Alon Rasooly.
Formal analysis: Xing-Ming Li, Xiao-Qing Yuan.
Methodology: Xing-Ming Li, Xiao-Qing Yuan, Scottie Bussell, Jun-Jie Wang.
Project administration: Xing-Ming Li, Xiao-Qing Yuan.
Supervision: Scottie Bussell.
Writing – original draft: Alon Rasooly, Wan-Ying Zhang.
Writing – review and editing: Xing-Ming Li, Alon Rasooly, Scottie Bussell.
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Keywords:Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.
AIDS; intervention study; medication adherence; social support