Skip to main content

Measuring the uptake of continuous care among people living with HIV receiving antiretroviral therapy and social determinants of the uptake of continuous care in the southwest of China: a cross-sectional study



Continuous care is essential for people living with HIV. This study aimed to measure continuous care uptake and investigate the association between higher uptake of continuous care and behavioral and social factors, including HIV-acquisition risk and socioeconomic characteristics.


A hospital-based cross-sectional study was conducted from April to November 2019 in an HIV treatment center of a specialized hospital in Kunming city, China. Fourteen service indicators were used to calculate composite care scores, which were classified into three levels (low, middle, and high), using principal component analysis. The Behavioral Model for Vulnerable Populations was employed to examine predisposing, enabling, and need factors associated with composite care scores among people living with HIV.


A total of 702 participants living with HIV aged ≥ 18 years (median age: 41.0 years, 69.4% male) who had been on ART for 1–5 years were recruited. Based on ordinal logistic regression modeling, predisposing factors: being employed (adjusted odds ratio (AOR): 1.54, 95% confidence interval (CI): 1.13–2.11), heterosexuals (AOR: 1.58, 95% CI: 1.11–2.25) and men who have sex with men (AOR: 2.05, 95% CI: 1.39–3.02) and enabling factors: Urban Employee Basic Medical Insurance (AOR: 1.90, 95% CI: 1.03–3.54), middle socioeconomic status (SES) (AOR: 1.42, 95% CI: 1.01–2.01), were positively associated with the higher level of continuous care uptake, compared to the unemployed, people who inject drugs, those with no medical insurance and low SES, respectively.


There were large differences in continuous care uptake among people living with HIV. HIV-acquisition risk categories and socioeconomic factors were significant determinants of uptake of continuous care. Our findings could inform the development of evidence-based strategies that promote equitable healthcare for all people living with HIV.

Peer Review reports


With a dramatic increase in survival time among people living with HIV due to antiretroviral therapy (ART), healthcare systems face new challenges in maintaining them in care and meeting their care needs [1, 2]. As the number of people receiving life-long ART continues to grow, the focus of HIV care has gradually transformed from urgent care to chronic care with regular routine management, similar to that for other systemic chronic conditions, in order to protect the person's physical and mental health [3,4,5]. People with HIV are living longer and aging, and have a more significant burden of comorbidities from chronic noncommunicable diseases (NCDs) than other people [6]. To address this challenge in HIV care, it is increasingly recognized that comprehensive multi-system screening and management integrated with HIV care has benefits for both adults living with HIV who are receiving care and the healthcare system [6,7,8,9].

Unlike access to care or engagement in HIV care, which only reflects the snapshot of reach care or use of HIV care, uptake of continuous care among people living with HIV means utilizing comprehensive care by those people over a certain time period, such as one year. Nevertheless, continuous care represents a new area of challenge in HIV care. Continuous care for people living with HIV receiving long-term ART involves scheduled visits and regular follow-up to monitor ART response, aligned with long-term ART. Infectious complications of HIV, such as tuberculosis, viral hepatitis, and some sexual transmitted infections, also continue to affect individuals' quality of life; screening and management of these complications are areas of focus [10,11,12,13]. Furthermore, HIV infection is related to some NCDs, including cardiovascular diseases, atherosclerosis, osteoporosis, and renal diseases [13,14,15]. With lifelong use of ART, the side effects of some of the medicines are also associated with non-HIV-related chronic conditions, including but not limited to alterations in metabolism, liver and renal functions [16], bone mineral density (BMD) [17], and neuropsychiatric effects [18]. Following the recommendation by current international guidelines for HIV treatment and prevention [10,11,12], continuous and comprehensive care for people living with HIV receiving ART involves a series of services, including regular follow-up visits to monitor their responses, management of HIV advanced diseases, comprehensive multi-system screening and management of coinfections and chronic complications, such as tuberculosis, viral hepatitis, syphilis, cardiovascular diseases, changes of liver and renal function and loss of BMD, which are associated with HIV infection, aging and access to ART [3, 19, 20]. Furthermore, routine assessment and management of mental health conditions, especially depression, are recommended to be integrated into the package of HIV care services for all people living with HIV in non-psychiatric healthcare settings [11, 21].

While continuous care is vital for people living with HIV, especially those who are stable and have been receiving ART for more than one year, less research is being done to explore utilization of continuous care. Studies have only assessed accessing and utilizing some HIV services within continuous care, especially among key populations such as people who inject drugs and men who have sex with men [22, 23], but little is known about individual and specific factors that influence the uptake of continuous care among people living with HIV receiving ART. Previous studies have indicated that some factors, including HIV-acquisition risk, socioeconomic status (SES), age, area of residence, health insurance, social support, and stigma, were associated with HIV epidemics, testing, maternal care, delays in treatment, access to ART and mental healthcare, attrition of ART, and even poorer treatment outcomes [23,24,25,26,27,28]. People living with HIV from a disadvantaged social class are more likely to have a delayed diagnosis, worse access to healthcare, and even worse treatment outcome, which are related to factors such as unemployment, low education, and poor living conditions [29]. People who inject drugs and other socially disadvantaged and marginalized populations generally suffer late diagnosis and initiate ART in the late stages of infection [30], compared to MSM who usually initiate ART earlier and are more likely to access HIV-related care, have higher adherence to ART, and experience better treatment outcomes [31]. Since HIV-acquisition risk has been demonstrated as a primary behavioral factor associated with HIV diagnosis and treatment, the effect of HIV-acquisition risk on uptake of continuous care among people living with HIV receiving ART should be carefully elucidated.

China also has a complicated HIV epidemic and faces challenges in managing a growing number of people living with HIV [32]. Reportedly, 861,042 surviving people were living with HIV in China in 2018 [33]. HIV epidemics in southwest China are interrelated across the three most at-risk populations [34], including people who inject drugs, people with unsafe heterosexual contact, and MSM [35, 36]. China now funds its national HIV responses almost entirely (98.4%) from domestic resources [37]. The National Free Antiretroviral treatment program (NFATP) was established in 2003 and rapidly expanded ART coverage in 2016 [1, 32]. The designated hospitals by the national programs are responsible for all components of HIV treatment and care. At the end of 2018, 718,499 people living with HIV (83.4%) in China were accessing ART through the NFATP [29]. Because of substantial attrition along the HIV care continuum, especially among people who inject drugs, the program faces severe challenges in retaining the increasing number of people living with HIV in care [1]. Some Chinese researchers focused on the importance of continuity in HIV care and the management of non-AIDS-related chronic complications, such as cardiovascular diseases, chronic kidney diseases, loss of BMD, highlighting the multidisciplinary chronic care needs of people living with HIV on lifelong ART [19, 20]. However, there is lack of consensus around comprehensive continuous care and the lack of certain interventions in the national Chinese guidelines. Current Chinese National Guidelines for HIV/AIDS Diagnosis and Treatment (2018 version) only focus on access to ART and monitoring response of ART, involving regular prescription of ART, annual monitoring of viral loads and CD4 counts, monitoring blood cell counts, liver function and urine tests, optional monitoring of renal function (optional for Tenofovir disoproxil fumarate), and blood lipids (optional for Lopinavir/Ritonavir) [38]. Multidisciplinary screening and management, an essential component of continuous and comprehensive care, as well as mental health care, is absent in the current Chinese guidelines.

Studies in China have shown income-related inequalities in linkage to care or attrition from treatment programs [23, 39]. These trends have been observed in the whole country as well as in regions including southwest China, the major site of the HIV epidemic [40]. However, there is a paucity of studies measuring continuous care for people living with HIV who are stable on ART as a whole, especially in the Asia–Pacific region. Moreover, under the context of free ART to treat all people living with HIV, no study has reported whether people living with HIV who have received ART are retained in the HIV care continuum and receive an equal amount of comprehensive care to maintain both their physical and mental health regardless of their socioeconomic characteristics and three main HIV exposure categories in China. Additionally, how suspected determinants affect the utilization of continuous care in southwest China necessitates a more in-depth examination. To address those gaps in the limited data on continuous care, the Behavioral Model for Vulnerable Populations was used to guide our approach [41]. It suggests that there are predisposing, enabling and need components that can predict the use of health services as well as the impact of utilization on health status outcome. This model has been used to understand other health service utilization among people living with HIV [42]. Such research is critical given the potential for continuous care on an HIV care modality. Identifying population groups with barriers to accessing ongoing comprehensive and continuous HIV care will apprise the development of interventions targeted towards the most vulnerable populations among people living with HIV.

This study was a part of a larger project aiming to examine continuous care patterns among people living with HIV who have been on ART in the southwest of China. The current study's first objective was to compare continuous care uptake among people with different exposure categories in Kunming city, southwest China. This was done by recruiting and characterizing people living with HIV according to three exposure categories as heterosexual men or women, men who have sex with men (MSM), and people who inject drugs, and comparing their uptake of continuous care elements, predisposing, enabling and need factors. The second objective was to develop a composite score of the uptake of all types of continuous care and identified the determinants of levels of continuous care uptake.


Study design and setting

We conducted a hospital-based cross-sectional survey from April to November 2019 at the Third People's Hospital of Kunming, the capital city of Yunnan province, southwest China. The hospital is the biggest hospital specializing in infectious diseases in Yunnan province, with a leading HIV treatment center, and has been serving people living with HIV since 1999. In 2004, as a designated center of the NFATP in Kunming, it launched a free ART program for people living with HIV and provided HIV care for local clients as well as those referred from other cities of China. As of 2018, this center has offered free ART and follow-up service for about 8,000 people.

Participants' eligibility criteria were (1) having self-reported exposure to HIV-acquisition risk as heterosexual contact, male homosexual contact, or injecting drugs use, (2) being aged 18 years or more, and (3) having been on ART for at least one but no more than five years. This last criterion was set in order to reach a requirement on the average time of retention in care to viral suppression and also to avoid some of the longer-term complications after five years, which need more intensive care [43,44,45]. Potential participants were assessed to be capable of participating in the study if they were physically and mentally able to provide verbal consent to participate in the study on the day of the interview.

Study sample and procedures

A total sample size of 664 was first calculated to determine the rate of receiving continuous care among people living with HIV based on the assumption that such a rate was 50% and using a margin of error of 4%, a confidence interval (CI) of 95%, and a 20% refusal rate or missing data. To compare uptake of care among three exposure categories, we used the two independent proportions formula [46], and we assumed that the uptake rate among the reference group (people who inject drugs) was 50% and the uptake rate among one of the other groups was 65%. Given a ratio of 1:1, 80% power, and a 20% refusal rate, a minimum of 213 participants per group with different HIV-acquisition risks was required.

Using convenience sampling, all consecutive eligible people living with HIV who visited the HIV treatment center during the study period were recruited. When the minimum sample size of each HIV-acquisition risk group was reached, recruitment of subjects in the corresponding group stopped.

Recruitment took place over eight months with a 99.0% response rate. If a potential participant indicated an interest in participating, the hospital staff then referred them to one of our five trained research assistants who conducted the interview using a structured guideline. A structured questionnaire was developed in English and then translated into Chinese. Back translation into English was also performed to validate the translation. Pre-testing of the questionnaire was completed with twenty persons living with HIV not involved in the study to ensure the comprehensibility of the questionnaire. The research assistant informed the participants of the study goals, benefits and risks of participation, and research procedures. The participants were told that their responses would be anonymous. They were also informed that they could withdraw at any time, and all information would be kept confidential. With the verbal consent of the respondents, one-to-one interviews were conducted. Each participant provided their NFATP unique personal identification number in order to link their questionnaire data to their medical records. After completing the interview, the field supervisor reviewed the participants' medical records in the database of the NFATP and the outpatient system of the study hospital to collect information about the utilization of continuous care.


Data source

Participants self-completed a set of questionnaires comprising demographic and socioeconomic information, perceived HIV-related stigma, perceived social support, other characteristics of accessibility to care, uptake of mental healthcare and diagnosis of chronic comorbidities in the last 12 months. Medical records in the database of the NFATP and outpatient system of the treatment center were reviewed to collect information about participant's routine follow-up and testing, infectious comorbidities such as viral hepatitis, and non-infectious chronic comorbidities generally associated with aging such as cardiovascular diseases, chronic kidney disease, and loss of bone mineral density during the last 12 months.

Indicators of continuous care

We developed indicators and domains of HIV continuous care based on existing literature and published guidelines (Table 1) [11, 12, 38, 47]. Based on China's free ART manual, subsequent follow-up visits are scheduled for every three months among people who are stable on ART [48]. With the central government's financial support, routine blood tests accompanied by follow-up visits four times a year and at least one viral load test and CD4 count per year are free for people who are stable on ART [48]. Follow-up indicators include the frequency of HIV clinic visits and free routine follow-up testing. Routine ART monitoring involved frequency of CD4 testing and viral load assay while extra multi-system screening included risk of cardiovascular [49] and chronic kidney diseases [50], electrocardiogram (ECG), assessment of bone mineral density [20], tuberculosis screening, and serological testing for hepatitis B and C viruses and syphilis during the past 12 months. Except for BMD, which was measured in another tertiary hospital, all HIV-related care was carried out in the study hospital. Laboratory tests were arranged at the same clinic visit as much as possible. BMD was not free of charge and measured by dual-energy X-ray absorptiometry scanner, which is the gold standard for the diagnosis of osteoporosis according to the WHO [51].

Table 1 Summary of indicators used to create the composite score of continuous care uptake for people living with HIV on antiretroviral therapy

Computation of composite score of continuous care

The comprehensive care package includes 14 indicators reflecting continuous care for people living with HIV who are on ART. We developed a composite score using principal component analysis (PCA), which reduces the number of dimensions in high-dimensional data while retaining most of the features and patterns [52]. The optimal number of dimensions based on a scree plot was five. Weights were derived from these five components that collectively accounted for 79.6% of the variance, with the first to fifth components explaining 25%, 23%, 28%, 17%, and 16% of the variance, respectively (Fig. 1). Using varimax rotation, we condensed the 14 indicators into five principal components relevant to each dimension, and an initial score (IS) was formulated by summing the product of each of those component weights with their corresponding PCA scores [53].

Fig. 1
figure 1

Conceptual framework for the composite score of continuous care for people living with HIV

The value of the initial score can be positive or negative, making it difficult to interpret. Therefore, a standardized composite score (CS) was developed using the formula:

$${\text{CS }} = { 1}00 \, \times \, \left( {{\text{IS }} - {\text{ minimum IS}}} \right) \, / \, \left( {{\text{maximum IS }} - {\text{ minimum IS}}} \right)$$

Higher values of the standardized composite score reflect higher uptake of continuous care. The median score was 45.0 with an interquartile range (IQR) of 36.4 to 51.7 and a range of 0 to 100. The outcome of interest was continuous care, classified into terciles of low, middle, and high based on the standardized score.

Study explanatory variables

To examine the factors that influence the uptake of continuous care, we employed the Behavioral Model of Health Services Utilization for Vulnerable Populations [41] in which the factors can be categorized into three domains of explanatory variables as follows:

Predisposing factors

These factors refer to characteristics that people possess and influence the propensity of individuals to seek care. Traditional predisposing factors were age (18–34, 35–49 and 50 + years), sex, ethnicity (Han and other), religious beliefs (with or without), marital status, education level (primary school or below, secondary school, high school, and university or equivalent), employment status (employed and unemployed), vulnerable predisposing factors of HIV-related stigma and HIV-acquisition risk. HIV-related stigma was assessed using a Chinese version of internalized stigma and personal stigma scales [54]. HIV-acquisition risk was derived from the database of the NFATP and classified into three main categories: heterosexual contact, homosexual contact, and injecting drug use [29, 55]. Unlike in Western countries, the epidemic of HIV among MSM in China indicated that there is almost no interaction between risk groups of MSM and people who inject drugs or, at least, there is very limited crossover [56], so we distinguished MSM and those who also inject drugs into different groups.

Enabling factors

These factors refer to the resources that enable the utilization of care. In this study, we focused on the area of residence (rural, urban, suburban), socioeconomic status, social support, type of medical insurance (uninsured, New Rural Cooperative Medical Insurance (NRCMI), Urban Employees Basic Medical Insurance (UEBMI), and Urban Residents Basic Medical Insurance (URBMI)) and the accessibility to care (e.g., distance to nearest HIV facility, travel time, transportation fee, waiting time for medicine). Socioeconomic status was measured by a wealth index, which was generated from self-reported household assets and household conditions as reported elsewhere [57] and categorized into terciles (low, middle, and high). Social support (number of people) was measured using the Social Support Questionnaire (SSQ) [58].

Need factors

These factors describe the need for health care determined by individual perception or professional medical evaluation, which are direct causes of the use of medical services. We included the presence of chronic comorbidities based on the Charlson Comorbidity Index and ART duration. Besides AIDS, the Charlson Comorbidity Index accounts for eleven chronic comorbidities, including diabetes mellitus, liver disease, malignancy, chronic kidney disease, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, peripheral vascular disease, cerebrovascular disease or transient ischemic attack, connective tissue disease, and peptic ulcer disease [59]. We employed a checklist of these eleven comorbidities in both the questionnaire and medical records review. Chronic comorbidity was defined as having at least one of these chronic diseases identified from either the questionnaire or medical record. ART duration was obtained from the database of NFATP, which was defined as the time since ART initiation in years.

Statistical analysis

We performed all analyses in R version 4.0.3 using descriptive statistics to summarize participant characteristics and considering a p-value less than 0.05 as statistically significant. Mean and standard deviation (SD) were used to describe normally distributed continuous variables, median with IQR for non-normally distributed variables, and frequency and percentage for categorical variables. The Kruskal–Wallis test was used to compare the distribution of a non-normal continuous variable among groups. The Chi-square test was used to compare the difference in exposure of HIV-acquisition risk and categorical groups of care uptake. The probabilities of dependent variables in different age groups, education levels, and SES groups were calculated and compared using the multinomial Cochran-Armitage trend test with Bonferroni's correction for multiple comparisons. Due to the ordinal nature of care uptake from the composite score, ordinal logistic regression using a proportional odds model was used to investigate the effects of the determinants of higher uptake. Before modeling, we employed the omnibus Brant test for testing the parallel line regression assumption for the proportional odds assumption. A non-significant p-value for the full model and final model indicates that the proportional odds assumption for the model was tenable. The univariate and multivariate proportional odds models were fitted with low uptake as the baseline outcome level. We further performed a backward stepwise multivariate ordinal logistic regression model and eliminated variables that were not significant in the univariate model (p-value > 0.05). An ordinal odds ratio (OR) with a 95% confidence interval (CI) was presented.


Socio-demographic characteristics of people living with HIV on ART

A total of 702 adults with HIV on ART (heterosexuals, MSM, and people who inject drugs comprise one-third of the sample) attending the HIV treatment center in Kunming participated in the study. The age of the participants ranged from 18 to 77 years with a median age of 41 years. MSM had significantly higher percentages of participants aged between 18–34 years, employed, with university or higher education and middle to high SES. Basic medical insurance covered 92.7% of participants. The scores of HIV-related stigma were similar among the three groups, but MSM had significantly higher social support (Table 2).

Table 2 Socio-demographic characteristics of people living with HIV on ART by HIV-acquisition risk category

Profile of uptake of continuous care and care-related accessibility among people living with HIV on ART

Table 3 describes the percentages of each indicator of uptake of continuous care. Most indicators had high rates of uptake (63.5 – 93.3%), with exceptions being adequate virological monitoring (15.8%), mental health assessment (15.0%) and counseling (30.8%), and BMD measurement (36.5%).

Table 3 Uptake of indicators of continuous care and other characteristics of accessibility of care for people living with HIV on ART according to HIV-acquisition risk

Significant differences among the three groups were observed for uptake of continuous care and accessibility of care indicators. MSM had the highest proportion of uptake in all care indicators, except for the hepatitis C virus serological test. People who inject drugs accounted for the highest proportion (87.1%) of being diagnosed with chronic comorbidities (p < 0.001). There were also significant differences in the distance to the nearest HIV facility, travel time, and waiting time for receiving medicine. ART duration among the three groups was significantly different with men who have sex with men having a lower duration than the other two groups. No substantial differences in the adequate uptake of routine tests, electrocardiograms, and transportation fees to HIV facilities were observed.

Determinants of uptake of continuous care for people living with HIV on ART

Based on the univariable ordinal logistic regression analysis, age, gender, employment status, medical insurance, education level, SES, HIV-acquisition risk, chronic comorbidities, and the number of social supporters were significantly associated with the composite scores of continuous care. However, there were no significant differences in the composite care scores by characteristics of accessibilities to care, including distance to nearest HIV facility, travel time, transportation fee, waiting time for medicine, and treatment duration (Table 4).

Table 4 Distribution of scores for uptake of continuous care and results of univariable ordinal logistic regression analysis (unadjusted) according to level of composite care score of continuous care

We included nine potential predictors of the higher composite scores of continuous care derived from univariate analyses in a multivariable ordinal logistic regression model (Table 5). Only four variables, employment status and HIV-acquisition risk (predisposing factors), medical insurance and SES (enabling factors), were retained in the final model, indicating significantly independent determinants of the higher composite scores of continuous care among people living with HIV. After the parallel line test, the final model did not violate the proportional odds assumption.

Table 5 Results of multivariable ordinal logistic regression analysis according to level of composite care score of continuous care

Employed people had 1.54 times higher odds of having higher composite care scores (AOR: 1.54, 95% CI: 1.13–2.11) compared to unemployed people, holding constant all other variables. The tendency to reach higher composite care scores for people living with HIV was 1.58 (95% CI: 1.11–2.25) and 2.05 (95% CI: 1.39–3.02) times higher among heterosexuals and MSM, respectively, when compared with people who inject drugs. The cumulative odds for patients with UEBMI was 1.90 (95% CI: 1.03–3.54) times higher than the uninsured participants to attain a higher composite care score. Participants with a middle socioeconomic status level had 1.42 (95% CI: 1.01–2.01) times greater odds to receive a higher composite care score of continuous care than patients with a low socioeconomic status.


Large differences in continuous care uptake among people living with HIV in Kunming, China was observed, spanning from a low rate of 15% in mental health assessment to higher than 90% in tuberculosis screening. This finding is similar to studies from Vietnam and China [60, 61]. Compared with heterosexuals and people who inject drugs, MSM were more likely to receive a higher uptake of continuous care in terms of adequate clinic visits, adequate CD4 and viral load tests, mental health assessment, measuring bone mineral density, chronic kidney disease risk, hepatitis B virus and syphilis serological test. On the other hand, people who inject drugs were more likely to receive mental health counseling and get tested for the hepatitis C virus but less likely to attain other forms of care than MSM and heterosexuals. However, the signal indicator may not reflect the overall situation of comprehensive continuous care that people living with HIV need.

We constructed a novel measure of an individual's healthcare utilization—a composite care score—by using highly standardized estimates of 14 different types of care utilization. The composite care score provides a clearer signal on personal healthcare utilization and helps to account for variation due to behavior and social environment. Application of a composite score or index has been elaborated with broader implications for gauging utilization of complicated services or clinical indicators complex for a disease, evaluating the efficiency of the healthcare system, identifying disparities, improving quality of care, and allocating healthcare resources [62, 63].

In the predisposing domain, employed people living with HIV were more likely to receive higher levels of care, probably because of their higher SES and/or medical insurance. Employment can reduce people's financial hardships and sustain their personal financial resources and has been found to be associated with accessing HIV care [64]. Further, based on a composite care score, we found that MSM and heterosexuals were more likely to receive higher levels of continuous care than people who inject drugs. Our result adds to the literature that exposure of HIV-acquisition risk is an important independent predisposing determinant of healthcare utilization for people living with HIV. Consistent with previous studies worldwide, intravenous drug use was identified as a risk for HIV late diagnosis, discontinuity of HIV care, access to care or ART, poor treatment outcomes, and even less survival time for people who inject drugs [1, 31, 65, 66]. People who inject drugs are recognized as one of the key populations who often suffer from punitive laws or stigmatizing policies or are most at risk of acquiring or transmitting HIV [67]. Thus, their engagement in HIV care is important to a successful HIV response around the world. Healthcare settings may provide an environment that reinforces the care-seeking behaviors of people who inject drugs and their retention in care. The finding of different care uptake levels among people living with HIV with different exposure of HIV-acquisition risk suggests that healthcare providers should take into account the specific needs and situation of all people in the population to ensure equitable healthcare. Engaging people living with HIV to better understand their healthcare needs, including those who are not in care or receive less care than they require, could aid the development of more effective and efficient strategies for universal health coverage.

Among enabling factors in the Behavioral Model, the middle SES group was significantly associated with composite care scores with participants in the middle SES group being 1.42 times more likely to receive a higher level of continuous care than those with a low SES. This result is consistent with current global thinking around the bidirectional relationship between socioeconomic-related inequality and poor utilization of HIV care [25]. Therefore, the allocation of healthcare resources should put more concern on poor or vulnerable people. Interestingly, participants with a high SES were not more likely to receive more continuous care. This may be because this subgroup of people may prefer to have their services in a private setting or other general hospitals where information could not be collected. Unsurprisingly, the enabling factor of medical insurance had a significant effect on the uptake of continuous care. In this study, people with urban employee medical insurance had a higher likelihood of receiving higher levels of care than those with other types of medical insurance. This study confirmed a previous study [68] indicating dual vulnerability challenges and lack of opportunities to make better choices due to limited employment and health insurance among the poor or the unemployed. Although China’s national HIV care program provides free general laboratory tests, CD4 and viral load tests once a year, people living with HIV have to pay for the remaining tests and examinations, such as BMD measurements, additional viral load tests, and serological tests of viral hepatitis. The tests which are not free were voluntarily taken based on the client’s ability to pay, and test costs can be beyond their affordability. This may explain the relationships between composite care scores and socioeconomic status, medical insurance and employment status, leaving alone other potential financial barriers (transport costs and busy working).

Without interventions, socio-demographic factors limiting access to HIV-related services, ART, and retention in care would undoubtedly jeopardize the ending of AIDS by 2030 [66].

Healthcare providers could play an essential role in reducing inequalities in healthcare utilization among people living with HIV by inquiring about additional social and structural barriers to care access. Continuous care for people living with HIV who were unemployed or had a low SES should also be given priority. Financial subsidies or increasing reimbursements of non-employee medical insurance, job referral and training in the community may be potential community interventions for comprehensive continuous care for people living with HIV [25]. Beyond clinic-level interventions aiming at developing equality of healthcare utilization, individual-level interventions such as enhanced awareness of viral load monitoring, management of mental health, and monitoring chronic disease risks should be offered with greater completeness and consistency to the identified vulnerable groups, particularly people who inject drugs, the unemployed, and people with low SES, after they have received ART. The fact that significant differences in uptake of continuous care in HIV exposure categories and socioeconomic characteristics existed, even after accounting for demographic characteristics and care-related accessibility, suggests that many factors that differentially influence utilization of continuous care remain. These should be the focus of future research and targeted interventions to provide fair and high-quality healthcare for all people living with HIV.

This study collected common and comprehensive services suggested for all people living with HIV [69, 70] and could be accessed easily in most hospitals in China. However, the findings of this study should be interpreted in the context of several limitations. Firstly, the results can be generalized only to people living with HIV who had been on ART for at least one year but less than five years. Secondly, a nonprobability sampling method was used to recruit study participants with different HIV-acquisition risks. This could lead to sampling bias as the distribution of the people with HIV with different HIV-acquisition risks in our clinic might not be similar to that of the general HIV population. Therefore, it could limit the generalizability of our findings to the general HIV population. Thirdly, there are some limitations related to the construction and use of the composite care scores. These scores employed PCA, which tends to minimize the contribution of each indicator. This may reduce the reliability of the composite care score because some indicators perform well in one study and others in another. This score may not truly reflect the quality of care given the heterogeneity in clients’ needs and test availability. However, PCA is the most credible and scientific approach for combing data from different indicators while generating weights for each dimension. This increases concern over the validity of composite care scores. Levels of care uptake were obtained by classifying the composite care scores and ranking the scores prior to grouping. The score only provided a relative measure of inequality in care uptake, it cannot provide information on absolute levels of care uptake. Fourthly, the wealth status defined in this study was classified into terciles to minimize incorrect inferences based on an extremely skewed socioeconomic distribution. We also found instances of over- and under-estimation of SES in some settings that are not reflective of reality. Fifthly, causality cannot be established due to the nature of our cross-sectional study design. Lastly, as a hospital-based study, there may be information bias because we did not collect information about those not registered in the study hospital or did not utilize care of the national program. There may be recall bias in the perceived use of mental health care; however, we used limited time of perceived use of mental health care in the last 12 months, which may somehow reduce recall bias.


Based on a composite score to measure continuous care, we identified HIV-acquisition risk, employment, socioeconomic status, and medical insurance as independent determinants of receiving a higher uptake of continuous care among people living with HIV in the southwest of China. Findings could contribute to informing the development of need-oriented health resource allocation and evidence-based strategies that promote equitable healthcare.

Availability of data and materials

The data used in this study are available from the corresponding author on reasonable request.



Adjusted odds ratio


Antiretroviral therapy


Bone mineral density


Confidence interval


Chronic kidney diseases


Cardiovascular diseases


Desoxyribonucleic acid




Human immunodeficiency virus


Hepatitis B/C virus


Men who have sex with men


Noncommunicable diseases


National Free Antiretroviral Treatment Program


New Rural Cooperative Medical Insurance


Rapid plasma regain


Principal component analysis


People who inject drugs


Ribonucleic acid


Socioeconomic status




T. pallidum Passive particle agglutination assay


Urban Employees Basic Medical Insurance


Urban Residents Basic Medical Insurance


  1. Ma Y, Dou Z, Guo W, Mao Y, Zhang F, McGoogan JM, Zhao Y, Zhao D, Wu Y, Liu Z, et al. The human immunodeficiency virus care continuum in China: 1985–2015. Clin Infect Dis. 2018;66(6):833–9.

    Article  PubMed  Google Scholar 

  2. Kranzer K, Govindasamy D, Ford N, Johnston V, Lawn SD. Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review. J Int AIDS Soc. 2012;15(2):17383.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Topp SM, Mwamba C, Sharma A, Mukamba N, Beres LK, Geng E, Holmes CB, Sikazwe I. Rethinking retention: mapping interactions between multiple factors that influence long-term engagement in HIV care. PLoS ONE. 2018;13(3):e0193641.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Kitahata MM, Tegger MK, Wagner EH, Holmes KK. Comprehensive health care for people infected with HIV in developing countries. BMJ. 2002;325(7370):954–7.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Chu C, Selwyn PA. An epidemic in evolution: the need for new models of HIV care in the chronic disease era. J Urban Health. 2011;88(3):556–66.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Joint United Nations Programme on HIV/AIDS. Chronic care for HIV and noncommunicable diseases: How to leverage the HIV experience. Geneva: UNAIDS; 2011.

    Google Scholar 

  7. Althoff KN, Gebo KA, Moore RD, Boyd CM, Justice AC, Wong C, Lucas GM, Klein MB, Kitahata MM, Crane H, et al. Contributions of traditional and HIV-related risk factors on non-AIDS-defining cancer, myocardial infarction, and end-stage liver and renal diseases in adults with HIV in the USA and Canada: a collaboration of cohort studies. The Lancet HIV. 2019;6(2):e93–104.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Boyd CM, Lucas GM. Patient-centered care for people living with multimorbidity. Curr Opin HIV AIDS. 2014;9(4):419.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. The Lancet. 2013;382(9903):1525–33.

    Article  Google Scholar 

  10. Panel on Antiretroviral Guidelines for Adults and Adolescents: Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents with HIV. Department of Health and Human Services; 2019. Accessed 18 Jul 2020.

  11. World Health Organization: Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: recommendations for a public health approach. 2nd edn. Geneva, Switzerland: World Health Organization; 2016. Accessed 11 Aug 2020.

  12. European AIDS Clinical Society (ECAS): Guidelines version 10.1 October. Accessed 10 Jan 2021.

  13. Havlir DV, Currier JS. CROI 2015: complications of HIV infection and antiretroviral therapy. Top Antivir Med. 2015;23(1):56–65.

    PubMed  Google Scholar 

  14. Ghosn J, Abdoul H, Fellahi S, Merlet A, Salmon D, Morini J-P, Deleuze J, Blacher J, Capeau J, Bastard J-P. Prevalence of silent atherosclerosis and other comorbidities in an outpatient cohort of adults living with HIV: associations with HIV parameters and biomarkers. Aids Res Hum Retrov. 2021;37(2):101–8.

    Article  CAS  Google Scholar 

  15. Hemkens LG, Bucher HC. HIV infection and cardiovascular disease. Eur Heart J. 2014;35(21):1373–81.

    Article  CAS  PubMed  Google Scholar 

  16. Calmy A, Hirschel B, Cooper DA, Carr A. Clinical update: adverse effects of antiretroviral therapy. Lancet. 2007;370(9581):12–4.

    Article  PubMed  Google Scholar 

  17. Hamill MM, Pettifor JM, Ward KA, Norris SA, Prentice A. Bone mineral density, body composition, and mineral homeostasis over 24 months in urban South African women with HIV exposed to antiretroviral therapy. JBMR plus. 2020;4(5):e10343.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  18. Treisman GJ, Soudry O. Neuropsychiatric effects of HIV antiviral medications. Drug Saf. 2016;39(10):945–57.

    Article  CAS  PubMed  Google Scholar 

  19. Cao W, Hsieh E, Li T. Optimizing treatment for adults with HIV/AIDS in China: successes over two decades and remaining challenges. Curr HIV/AIDS Rep. 2020;17(1):26–34.

    Article  PubMed Central  PubMed  Google Scholar 

  20. Guan W, Pan W, Yu W, Cao W, Lin Q, Zhang Z, Song X, Li Y, Tian J, Xu Y, et al. Long-term trabecular bone score and bone mineral density changes in Chinese antiretroviral-treated HIV-infected individuals. Arch Osteoporos. 2021.

    Article  PubMed  Google Scholar 

  21. Zinkernagel C, Taffé P, Rickenbach M, Amiet R, Ledergerber B, Volkart A-C, Rauchfleisch U, Kiss A, Werder V, Vernazza P. Importance of mental health assessment in HIV-infected outpatients. J Acquir Immune Defic Syndr. 2001;28(3):240–9.

    Article  CAS  PubMed  Google Scholar 

  22. Chen M, Dou Z, Wang L, Wu Y, Zhao D, Gan X, Hu R, Ma Y, Zhang F. Gender differences in outcomes of antiretroviral treatment among HIV-infected patients in China: a retrospective cohort study, 2010–2015. J Acquir Immune Defic Syndr. 2017;76(3):281–8.

    Article  PubMed  Google Scholar 

  23. Wong NS, Mao J, Cheng W, Tang W, Cohen MS, Tucker JD, Xu H. HIV Linkage to care and retention in care rate among MSM in Guangzhou China. AIDS Behav. 2018;22(3):701–10.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Koirala S, Deuba K, Nampaisan O, Marrone G, Ekstrom AM, group C-S. Facilitators and barriers for retention in HIV care between testing and treatment in Asia-A study in Bangladesh, Indonesia, Lao, Nepal, Pakistan, Philippines and Vietnam. PLoS ONE. 2017;12(5):e0176914.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. Tran BX, Hwang J, Nguyen LH, Nguyen AT, Latkin NR, Tran NK, Minh Thuc VT, Nguyen HL, Phan HT, Le HT, et al. Impact of socioeconomic inequality on access, adherence, and outcomes of antiretroviral treatment services for people living with HIV/AIDS in Vietnam. PLoS ONE. 2016;11(12):e0168687.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Wood S, Ratcliffe S, Gowda C, Lee S, Dowshen NL, Gross R. Impact of insurance coverage on HIV transmission potential among antiretroviral therapy-treated youth living with HIV. AIDS. 2018;32(7):895–902.

    Article  PubMed  Google Scholar 

  27. Chu D-T, Vo H-L, Tran D-K, Nguyen Si Anh H, Bao Hoang L, Tran Nhu P, Nguyen Ngoc K, Thu Nguyen T, Pham Van Q, Tien NLB, et al. Socioeconomic inequalities in the HIV testing during antenatal care in vietnamese women. IJERPH. 2019;16(18):3240.

    Article  PubMed Central  Google Scholar 

  28. Silva-Santisteban A, Segura ER, Sandoval C, Giron M, Petrera M, Caceres CF. Determinants of unequal HIV care access among people living with HIV in Peru. Glob Health. 2013;9:1–9.

    Article  Google Scholar 

  29. Ding Y, Ma Z, He J, Xu X, Qiao S, Xu L, Shi R, Xu X, Zhu B, Li J. Evolving HIV Epidemiology in Mainland China: 2009–2018. Curr HIV/AIDS Rep. 2019;16(6):423–30.

    Article  PubMed  Google Scholar 

  30. Kiriazova TK, Postnov OV, Perehinets IB, Neduzhko OO. Association of injecting drug use and late enrolment in HIV medical care in Odessa Region Ukraine. HIV Med. 2013;14(Suppl 3):38–41.

    Article  PubMed  Google Scholar 

  31. Lima TA, Beyrer C, Golub JE, Mota JCD, Malta MS, Silva C, Bastos FI. Inequalities in HAART uptake and differential survival according to exposure category in Rio de Janeiro, Brazil. Cad Saude Publica. 2018;34(8):e00009617.

    Article  PubMed  Google Scholar 

  32. Wu Z, Chen J, Scott SR, McGoogan JM. History of the HIV Epidemic in China. Curr HIV/AIDS Rep. 2019;16(6):458–66.

    Article  PubMed Central  PubMed  Google Scholar 

  33. National Center for AIDS/STD Control and Prevention. 2018 China national HIV/STD/HCV program implementation report. Beijing: Chinese Center for Disease Control and Prevention; 2019. (Chinese).

    Google Scholar 

  34. Zhang L, Chow EPF, Jing J, Zhuang X, Li X, He M, Sun H, Li X, Gorgens M, Wilson D, et al. HIV prevalence in China: integration of surveillance data and a systematic review. Lancet Infect Dis. 2013;13(11):955–63.

    Article  PubMed  Google Scholar 

  35. Cui Y, Guo W, Li D, Wang L, Shi CX, Brookmeyer R, Detels R, Ge L, Ding Z, Wu Z. Estimating HIV incidence among key affected populations in China from serial cross-sectional surveys in 2010–2014. J Int AIDS Soc. 2016;19(1):20609.

    Article  PubMed Central  PubMed  Google Scholar 

  36. Chen Q, Sun Y, Sun W, Hao M, Li G, Su X, Xin R, Lu H. Trends of HIV incidence and prevalence among men who have sex with men in Beijing, China: Nine consecutive cross-sectional surveys, 2008–2016. PLoS ONE. 2018;13(8):e0201953.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Dieleman JL, Haakenstad A, Micah A, Moses M, Abbafati C, Acharya P, Adhikari TB, Adou AK, Kiadaliri AA, Alam K. Spending on health and HIV/AIDS: domestic health spending and development assistance in 188 countries, 1995–2015. Lancet. 2018;391(10132):1799–829.

    Article  Google Scholar 

  38. AIDS and Hepatitis C Professional Group, Society of Infectious Diseases Chinese Medical Association, Chinese Center for Disease Control and Prevention. Chinese guideline for diagnosis and treatment of HIV/AIDS (2018). Zhonghua Nei Ke Za Zhi. 2018;57(12):867–84 (Chinese).

    Google Scholar 

  39. Liao B, Zhang X-W, Wang J-Y, Liu J, Liang J, He W-J, Hong B, Li Y. Analysis of factors associated with dropping-out from HIV antiretroviral therapy in Kunming City, China. Bmc Infect Dis. 2019;19(1):1034.

    Article  CAS  Google Scholar 

  40. Lu L, Jia M, Ma Y, Yang L, Chen Z, Ho DD, Jiang Y, Zhang L. The changing face of HIV in China. Nature. 2008;455(7213):3.

    Article  CAS  Google Scholar 

  41. Gelberg L, Andersen RM, Leake BD. The Behavioral Model for Vulnerable Populations: application to medical care use and outcomes for homeless people. Health Serv Res. 2000;34(6):1273.

    CAS  PubMed Central  PubMed  Google Scholar 

  42. Ulett KB, Willig JH, Lin H-Y, Routman JS, Abroms S, Allison J, Chatham A, Raper JL, Saag MS, Mugavero MJ. The therapeutic implications of timely linkage and early retention in HIV care. AIDS Patient Care STDS. 2009;23(1):41–9.

    Article  PubMed Central  PubMed  Google Scholar 

  43. Boulle A, Van Cutsem G, Hilderbrand K, Cragg C, Abrahams M, Mathee S, Ford N, Knight L, Osler M, Myers J. Seven-year experience of a primary care antiretroviral treatment programme in Khayelitsha South Africa. AIDS. 2010;24(4):563–72.

    Article  PubMed  Google Scholar 

  44. Hess KL, Hall HI. HIV Viral Suppression, 37 States and the District of Columbia, 2014. J Community Health. 2018;43(2):338–47.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Hall HI, Tang T, Westfall AO, Mugavero MJ. HIV care visits and time to viral suppression, 19 US jurisdictions, and implications for treatment, prevention and the national HIV/AIDS strategy. PLoS ONE. 2013;8(12):e84318.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  46. Ngamjarus C. n4Studies: Sample size calculation for an epidemiological study on a smart device. Siriraj Med J. 2016;68(3):160–70.

    Google Scholar 

  47. Gardner EM, McLees MP, Steiner JF, Del Rio C, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52(6):793–800.

    Article  PubMed Central  PubMed  Google Scholar 

  48. National Center for AIDS/STD Prevention and Control. Chinese Center for Disease Control and Prevention: [China free antiretroviral treatment manual]. 4th ed. Beijing: People’s Medical Publishing House; 2016. (Chinese).

    Google Scholar 

  49. Knobel H, Jerico C, Montero M, Sorli ML, Velat M, Guelar A, Saballs P, Pedro-Botet J. Global cardiovascular risk in patients with HIV infection: concordance and differences in estimates according to three risk equations (Framingham, SCORE, and PROCAM). AIDS Patient Care STDS. 2007;21(7):452–7.

    Article  PubMed  Google Scholar 

  50. Yombi JC, Jones R, Pozniak A, Hougardy JM, Post FA. Monitoring of kidney function in HIV-positive patients. HIV Med. 2015;16(8):457–67.

    Article  CAS  PubMed  Google Scholar 

  51. Kanis JA. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. Osteoporos Int. 1994;4(6):368–81.

    Article  CAS  PubMed  Google Scholar 

  52. Lever J, Krzywinski M, Altman N. Principal component analysis. Nat Methods. 2017;14(7):641–2.

    Article  CAS  Google Scholar 

  53. Zhang Z, Castelló A. Principal components analysis in clinical studies. Annals of Translational Medicine. 2017;5(17):351–351.

    Article  PubMed Central  PubMed  Google Scholar 

  54. Li J, Assanangkornchai S, Lu L, Jia M, McNeil E, You J, Chongsuvivatwong V. Development of internalized and personal stigma among patients with and without HIV infection and occupational stigma among health care providers in Southern China. Patient Prefer Adherence. 2016;10:2309–20.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  55. Lu L, Jia M, Ma Y, Yang L, Chen Z, Ho DD, Jiang Y, Zhang L. The changing face of HIV in China. Nature. 2008;455(7213):609–11.

    Article  CAS  PubMed  Google Scholar 

  56. Wu Z, Wang Y, Detels R, Bulterys M, McGoogan JM. HIV/AIDS in China: epidemiology, prevention and treatment. Berlin: Springer; 2020.

    Book  Google Scholar 

  57. Jin Y, Assanangkornchai S, Du Y, Liu J, Bai J, Yang Y. Measuring and explaining inequality of continuous care for people living with HIV receiving antiretroviral therapy in Kunming, China. PLoS ONE. 2021;16(5):e0251252.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  58. Sarason IG, Sarason BR, Shearin EN, Pierce GR. A brief measure of social support: practical and theoretical implications. J Soc Pers Relat. 1987;4(4):497–510.

    Article  Google Scholar 

  59. Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, Januel JM, Sundararajan V. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.

    Article  PubMed  Google Scholar 

  60. Nguyen QL, Nguyen LH, Tran BX, Phan HT, Le HT, Nguyen HD, Tran TD, Do CD, Nguyen CM, Thuc VT, et al. Co-financing for viral load monitoring during the course of antiretroviral therapy among patients with HIV/AIDS in Vietnam: a contingent valuation survey. PLoS ONE. 2017;12(2):e0172050.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  61. Wu Z, Wang Y, Detels R, Rotheram-Borus MJ. China AIDS policy implementation: reversing the HIV/AIDS epidemic by 2015. Int J Epidemiol. 2010.

    Article  PubMed Central  PubMed  Google Scholar 

  62. Indyk JA, Buckingham D, Obrynba KS, Servick C, Gandhi KK, Kramer A, Kamboj MK. The type 1 diabetes composite score: an innovative metric for measuring patient care outcomes beyond hemoglobin A1c. Pediatr Qual Saf. 2020.

    Article  PubMed Central  PubMed  Google Scholar 

  63. Pääkkönen J, Seppälä TT. Using composite indicators to evaluate the efficiency of health care system. Appl Econ. 2014;46(19):2242–50.

    Article  Google Scholar 

  64. Johnson M, Samarina A, Xi H, Valdez Ramalho Madruga J, Hocqueloux L, Loutfy M, Fournelle M-J, Norton M, Van Wyk J, Zachry W. Barriers to access to care reported by women living with HIV across 27 countries. AIDS Care. 2015;27(10):1220–30.

    Article  PubMed Central  PubMed  Google Scholar 

  65. Rebeiro PF, Abraham AG, Horberg MA, Althoff KN, Yehia BR, Buchacz K, Lau BM, Sterling TR, Gange SJ, Research NAACCO, et al. Sex, race, and HIV risk disparities in discontinuity of HIV care after antiretroviral therapy initiation in the United States and Canada. AIDS patient Care STDs. 2017;31(3):129–44.

    Article  PubMed Central  PubMed  Google Scholar 

  66. Abgrall S, Del Amo J. Effect of sociodemographic factors on survival of people living with HIV. Curr Opin HIV AIDS. 2016;11(5):501–6.

    Article  PubMed  Google Scholar 

  67. Zhao Y, Luo T, Tucker JD, Wong WCW. Risk factors of HIV and other sexually transmitted infections in China: a systematic review of reviews. PLoS ONE. 2015;10(10):e0140426.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  68. Yehia BR, Stewart L, Momplaisir F, Mody A, Holtzman CW, Jacobs LM, Hines J, Mounzer K, Glanz K, Metlay JP. Barriers and facilitators to patient retention in HIV care. Bmc Infect Dis. 2015;15(1):1–10.

    Article  Google Scholar 

  69. Hoang T, Goetz MB, Yano EM, Rossman B, Anaya HD, Knapp H, Korthuis PT, Henry R, Bowman C, Gifford A, et al. The impact of integrated HIV care on patient health outcomes. Med Care. 2009;47(5):560–7.

    Article  PubMed Central  PubMed  Google Scholar 

  70. Posse M, Meheus F, Van Asten H, Van Der Ven A, Baltussen R. Barriers to access to antiretroviral treatment in developing countries: a review. Tropical Med Int Health. 2008;13(7):904–13.

    Article  Google Scholar 

Download references


This study is part of the first author's thesis in partial fulfillment of the requirements for a PhD at Prince of Songkla University, Thailand. Our gratitude and appreciation go to data collectors and adults living with HIV attending the HIV treatment center who participated in this study. We are grateful to all the staff of the Third People's Hospital for their cooperation. Finally, we gratefully acknowledge Assistant Professor Edward McNeil for his help with the data analysis and proofreading the of the manuscript.


This work was supported by the Higher Education Research Promotion and Thailand's Education Hub for Southern Region of ASEAN Countries Project Office of the Higher Education Commission and Yunnan Provincial Department of Education Science Research Fund Project, Yunnan province, China (Grant No. 2020J0610). The funding organizations had no role in the development of study design or in the collection, analysis, and interpretation of data.

Author information

Authors and Affiliations



Conceptualization, YJ and SA; methodology, YJ, MF and SA; validation, YJ, SA, MF, WG and BT; formal analysis, YJ and BT; investigation, JY, MF, WG and MY; resources, WG, BT and YD; data curation, YJ, MF, YD and BT; writing—original draft preparation, YJ; writing—review and editing, SA; visualization, YJ; supervision, SA; project administration, YJ and YD; funding acquisition, YJ. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sawitri Assanangkornchai.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Human Research Ethics Committee of Prince Songkhla University (REC:61-340-18-1) and the Third People's Hospital of Kunming (REC:2019012901). The anonymity of the data was assured, and verbal informed consent was obtained from the participants to participate in the study after providing them with detailed information on the study procedures. The implementation of all stages of the study has been conducted in accordance with the ethical standards and the tenets of the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Jin, Y., Assanangkornchai, S., Fang, M. et al. Measuring the uptake of continuous care among people living with HIV receiving antiretroviral therapy and social determinants of the uptake of continuous care in the southwest of China: a cross-sectional study. BMC Infect Dis 21, 943 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Human immunodeficiency virus
  • Healthcare utilization
  • Behavioral model for vulnerable populations
  • Principal component analysis
  • Ordinal logistic regression