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Choice intention for the national volume-based procurement drug and its associated factors: a cross-sectional study on patients with late-life depression in China

Abstract

Background

The national volume-based procurement (NVBP) policy has significantly decreased prices and increased the accessibility of NVBP drugs. Nevertheless, issues such as heightened adverse reactions and suboptimal efficacy have arisen. Concerns regarding the quality of low-cost medications and the absence of long-term research have been widely recognized. This has led to caution among patients with late-life depression (LLD) due to their delicate health and the severity of their condition. This study evaluated the choice intention for NVBP drugs and associated factors in older patients with LLD.

Methods

A weighted sample of 408 participants between December 2022 and March 2023 were included. Data were collected via face-to-face interviews and questionnaires. To identify significant associated factors of choice intention, a multilevel logistic regression model was employed.

Results

Over half (53.68%) of older patients with LLD intended to choose NVBP drugs. Associated factors included self-assessed poor economy, higher out-of-pocket expenses, monthly household income exceeding CNY 6000, absence of other non-communicable chronic diseases, ordinary registration, urban employee medical insurance, no requirements for brand-name drugs, adverse reactions after using NVBP drugs, and rejection of physicians’ recommendation for NVBP drugs. The interaction effect between the real economic condition and patients self-assessed economy significantly influences choice intention for NVBP drugs. Among 124 patients with self-assessed poor economy, 75 showed a higher intention to use NVBP drugs. In these patients, age, medical insurance reimbursement, and brand awareness were significantly associated with choice intention.

Conclusion

Economic factors, physical conditions, medical needs, and physician recommendations significantly influenced the choice intention for NVBP drugs. The choice intention can be improved by strengthening physician-patient communication, increasing the scope and proportion of medical insurance reimbursement, improving substitution studies, and conducting post-marketing re-evaluations of NVBP drugs.

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Introduction

Late-life depression (LLD) significantly contributes to disease burden and disability in older adults, profoundly impairing their quality of life [1]. With the acceleration of population aging in China, LLD is poised to become a prominent public health and social issue [2, 3]. Globally, approximately 14% of individuals over 55 experience depression, with 2% facing major depression [4]. The situation is more acute in China, where 2020 data revealed a 37.49% detection rate of depressive symptoms in nursing homes, including 8.54% with major depression [5]. According to the 2019 Global Burden of Diseases, depression ranked first in the burden of mental disorders in China, constituting 25.07% [6]. The economic impact of LLD on the aging population and society is substantial in China [7].

Epidemiological evidence indicates that patients with LLD frequently have comorbid conditions [8]. The high recurrence rate and prolonged treatment duration [9] result in over one-third of patients undergoing multidrug therapy [10]. The risk associated with such therapy escalate with age, leading to adverse medical events such as drug interactions, side effects, health deterioration, and hospitalization. Notably, 5-10% of hospitalizations among older patients are due to adverse drug reactions [11]. Consequently, it is imperative to focus on the therapeutic efficacy and potential drug interactions in older patients with LLD.

The rising health expenditure presents a significant challenge for many countries globally [12]. With the acceleration of population aging and the development of the social economy, health expenditure in China is rapidly increasing [13, 14]. Total health expenditure surged from 4097 billion in 2015 to 7230 billion in 2020, reflecting an annual growth rate of 12.03%. The percentage of total health expenditure in GDP is also rising [15]. As of 2018, total drug expenditure in China was 218.3 billion, accounting for 35.8% of health expenditure, significantly higher than the Organization for Economic Co-operation and Development-countries average of 17% [16].

In response to the escalating national medical expenditure, the Chinese government introduced the national volume-based procurement (NVBP) policy in 2018. This policy involves purchasing high-quality generic drugs, evaluated by national consistency, in large quantities through strong political commitment [17]. The policy aims to achieve economies of scale, establish volume-price linkage, promote the formation of a drug price market, reduce costs, and standardize drug procurement [18, 19]. Research and practice indicate that the NVBP policy has significantly lowered the prices of NVBP drugs [20], and increased their market share [21]. Consequently, the NVBP policy has markedly enhanced drug affordability and reduced patient cost [22].

Despite the benefits of the NVBP policy, certain limitations have emerged, such as increased adverse reactions and suboptimal effects. Widespread concerns persist regarding quality issues associated with low-cost medicines. As NVBP drugs gain widespread use in hospitals, patients, including older individuals with LLD, must choose between NVBP drugs and alternative medications. The fragility of health [23], weak economic foundations, severity and recurrence of the disease, and overlapping risk factors render older LLD patients particularly cautious about drug use [24, 25], especially NVBP drugs. Therefore, understanding the choice intention for NVBP drugs is pivotal for ensuring treatment compliance among this demographic.

To our knowledge, limited research exists on the choice intention for NVBP drugs in older LLD patients. Most studies on the NVBP policy have focused on its impact on drug prices and accessibility [26]. Only one qualitative study potentially revealed how factors such as family characteristics and health conditions may influence patients’ attitudes towards NVBP drugs [27]. Family financial security and support can enable some participants to pursue better brand-name drugs rather than NVBP drugs. Additionally, patients who have experienced multiple diseases, especially those who have undergone severe illnesses, tend to show resistance to switching to NVBP drugs compared to patients with only one chronic disease. The severity of the disease is considered to be one of the major factors influencing patients’ attitudes towards NVBP drugs. Moreover, the existing literature has mainly focused on the entire population, often neglecting stratified research on comorbidities [27], especially for this particularly vulnerable group of LLD. It is crucial to comprehend the choice intention for NVBP drugs and the underlying influencing factors in older patients with LLD, as it directly affects the policy’s impact and evaluation. This understanding is essential for researchers and decision-makers alike. Hence, this study evaluated the choice intention for NVBP drugs and associated factors in older patients with LLD.

Subjects and methods

Study design and participants

The study utilized face-to-face interviews and questionnaires administered to elderly individuals with depression in China from December 2022 to March 2023. According to the characteristics of the geographical distribution of the elderly, we used a probability method proportional to different regions. We calculated the sample size required for each partition and selected participants in each region. Taking into account a margin of error of 5%, a sample size of 402 was calculated at a 95% confidence level and 5% allowable error. Considering the loss rate of 20%, the required sample was 503. Finally, 408 samples were recovered, and the overall response rate was about 81.11%. Inclusion criteria included LLD patients (depressive disorders in the elderly aged 60 years and older [28]) who had previously used NVBP drugs. Exclusion criteria included hearing impairment or communication difficulties.

Variables and measurements

Outcome measure

The outcome variable was the choice intention for NVBP drugs. In this study, patients were considered to have a choice intention for NVBP drugs if they indicated their willingness to use NVBP drugs during data collection. Conversely, if a patient clearly indicated that they would not use NVBP drugs, they were considered to have no choice intention for NVBP drugs. The drugs that patients were currently taking, whether brand-name drugs or NVBP drugs, were not included in this study as part of the patients’ willingness.

Explanatory variables

To identify relevant factors, various independent variables were considered. The research team first reviewed NVBP-related literature [27, 29,30,31,32]and then established four primary influencing factors comprising 32 items: demographic characteristics, family and economic status, physical and medication condition, and NVBP-related medical behavior. These factors were utilized as independent variables in the “NVBP Drug Choice Intention and Its Associated Factors Questionnaire” for data collection. Those willing to participate in face-to-face interviews will undergo standardized interviews based on this questionnaire (Interview Guide in the Supplementary Appendix), while others will complete the questionnaire. The results were categorized according to the questionnaire type. Due to the non-normally distribution of the total variable, the median value was used as a cut-off point for the classification (Table S1 in the Supplementary Appendix).

Interview guide pilot testing

Standardized interviews aim to ensure all respondents receive the same questions and treatment, thereby ensuring consistency and comparability of research outcomes. The interview guide pilot testing included three different techniques: internal testing, expert assessment, and field-testing.

Firstly, we conducted internal testing with cooperation from survey team members to evaluate the preliminary interview guide [33]. One researcher acted as the participant while another conducted the interview, aiming to eliminate interviewer bias, clarify ambiguities, and remove inappropriate leading questions (Table S2 in the Supplementary Appendix), ensuring objectivity and consistency in the interview process.

Secondly, we invited relevant experts for professional assessment of the interview guide, including a medical researcher and a clinical psychologist, to optimize the appropriateness, comprehensiveness, logical flow, and clinical relevance of the research questions.

Subsequently, we proceeded with field-testing. We selected a small subset of eligible respondents, specifically elderly patients with LLD who had experience with NVBP drugs, to test the interview guide. Through this step, we assessed the performance of the interview guide in practical execution, including respondents’ comprehension of the questions, the effectiveness of the research questions, the time required for the interview, and the method of recording responses.

Through these testing steps, we will ensure that our study accurately collects and analyzes data on the willingness of LLD patients to choose NVBP drugs, while maintaining the scientific rigor and clinical relevance of the research.

Data collection

Participants were recruited via research posters, oral presentations, and hospital staff referrals. For participants willing to be interviewed, the first author of this paper (male, Master’s degree, pharmacist), who has received training, conducted structured interviews, which included outlining the study’s purpose and administering a structured questionnaire. (Interview process and questions can be found in the supplementary document) Fifteen participants were interviewed and coded as P1-P15. The researcher and participants had no prior relationship. Each interview lasted approximately 20–25 min. The questionnaire was recorded after the interview concluded. The remaining participants received instructions from researchers on completing the questionnaire and were briefed on the study’s objectives. Family members were permitted to read and assist participants in the completion of the questionnaire. In cases where participants were unable to complete the questionnaire, family members filled it out based on the participants’ responses.

Bias control

Three measures were used to control deviation. First, researchers maintained close communication with participants between data surveys. Second, this study adopted strict data management methods, such as double entry, cross-examination, and discussion of controversial data, which were discussed and traced by multiple professionals. Third, researchers check with participants after data collection to ensure accuracy and consistency of information transmission.

Statistical analysis

Logistic regression was employed to analyze choice intention and its associated factors. The independent variables considered comprised the following two categories: (1) those with statistically significant differences in univariate analysis (p < 0.05, chi-square test) and (2) those without statistically significant differences but clinically deemed relevant to choice intention. The study did not include continuous independent variables; hence, a box-Tidwell transformation was unnecessary. Multicollinearity was evaluated by examining the variance inflation factor and tolerance in a multiple regression model. The overall significance of the model was assessed using the − 2 log-likelihood ratio test. Descriptive statistics were utilized to assess the distribution of variables. Sample size was calculated using PASS version 15.0, and data analysis was conducted with SPSS version 26.0.

The association of demographic and family attributes, economic conditions, physical health, and medication use with participants’ choice intention for NVBP drugs was evaluated. Three models were developed: Model I incorporated social factors (demographic and family attributes, economic conditions), Model II considered individual factors (physical health, medication use), and Model III integrated both social and individual factors. Model fit was assessed through the Hosmer-Lemeshow goodness-of-fit chi-square test and Omnibus Tests of Model Coefficients. The receiver operating characteristic curve was employed to evaluate model specificity and sensitivity. Ultimately, model III, encompassing all significantly different factors, emerged as the optimal model (Table S3 in the Supplementary Appendix). Adjusted odds ratios (AOR), with 95% confidence intervals (CIs) and p-values (Wald Test) under 0.05, identified factors linked to the choice intention for NVBP drugs.

Ethics approval and consent to participate

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of The Affiliated Mental Health Center of Jiangnan University (WXMHCIRB2023LLky007). All participants, or their legal representatives if the participants were unable to write, signed informed consent.

Results

Characteristics of the participants

A total weighted sample of 408 older patients with LLD was enrolled in this study, including 179 males (43.87%) and 229 females (56.13%). Among them, the proportion of patients aged 60–69 years old (77.70%) was greater than those aged 70 years or older (22.30%). The marital status of the participants was as follows: unmarried (4.17%), married (74.75%), divorced (15.44%), and widowed (5.64%). Educational status was categorized as illiteracy (16.67%), primary school (57.11%), and junior high school and above (26.23%). Before retirement, 12.25% of participants had held professional positions such as doctors and teachers, 5.64% were military personnel, 27.70% were engaged in administrative management, 25.49% were service personnel, 19.85% were workers, and 6.62% were farmers (Table 1).

Table 1 Individual characteristics of the participants (N = 408)

Family members and economic conditions

Among 408 participants, 14.22% lived alone, 18.63% lived in nursing homes, and the remaining 67.16% lived with family members. More than half (52.94%) of the patients had a pension of less than CNY 2000. One-quarters (25.49%) of them had a total monthly household income of less than CNY 3000, while 19.12% of the participants had an income of more than CNY 6000. Additionally, 15.44% of the participants self-assessed their economic situation as rich, and 54.17% considered their economic status as average. A few participants (10.54%) were satisfied with their current life (Table 2).

Table 2 Family and economic status of the participants (N = 408)

Physical condition and medical condition

Approximately half (46.32%) of the participants had non-communicable chronic diseases, with 19.36% rating their health as good, and 22.55% taking medication for less than 5 years. The participants were covered by various medical insurance schemes, including civil servant medical insurance (MICS), urban employee medical insurance (MIUE), and urban resident medical insurance (MIUR). Notably, 40.20% had expert registration, and 44.85% could reach the nearest medical center within 20 min on foot. A small fraction (1.96%) drove to the hospital. Additionally, 40.69% had an out-of-pocket expenses below CNY 100. Less than half (43.38%) reported ease in obtaining brand-name drugs, and 47.30% purchased medicine from hospitals (Table 3).

Table 3 Physical condition and medical condition of the participants (N = 408)

Medication

A total of 42.40% of participants considered NVBP drugs to be as effective as brand-name drugs. Only 6.13% perceived the side effects of NVBP drugs to be comparable to those of brand-name drugs. Among these patients, the preference for NVBP drugs was highest at 68.00%. Despite the prevalence of adverse effects, 42.40% reported no significant adverse reactions from NVBP drugs. Approximately one-third (32.60%) believed that the quality of NVBP and brand-name drugs was consistent. Additionally, 84.56% of participants noted lower cash expenditures for NVBP drugs compared to brand-name drugs, and around 72.30% felt NVBP drugs met their basic needs. Moreover, 18.38% had requirements for the brand of drugs; 88.48% found NVBP drugs easily accessible. Furthermore, 65.20% admitted to being influenced by choices, while 93.63% felt influenced by doctors. Comparatively, 77.70% reported being influenced by pharmacists. This trust in physicians likely stems from a general trust in medical professionals, compounded by limited public awareness of the NVBP policy, as 78.18% admitted to knowing little about it (Table 4).

Table 4 Medication of the participants (N = 408)

Choice intention for NVBP drugs

Among the participants, the overall choice intention for NVBP drugs was 53.68%, with significantly higher intention observed in patients aged 60–69 years compared to those aged 70 years and above. Pre-retirement career also significantly influenced intentions, with professionals exhibiting higher willingness to use NVBP drugs than others. Additionally, patients living with family showed significantly higher intentions compared to nursing home residents. A notable difference was observed in patients with a monthly household income of CNY 3000–6000, who were more inclined to choose NVBP drugs than those earning above CNY 6000. Higher choice intention was also recorded among patients with self-rated financial difficulties and those without other non-communicable chronic diseases. Patients with MIUE insurance, expert registration, and no significant adverse reactions to NVBP drugs demonstrated greater intentions. During the NVBP policy, patients who felt that NVBP drugs have less cash expenditure than brand-name drugs, who thought that NVBP drugs can meet basic needs, who had no requirements for the brand of drugs, and who were susceptible to doctors showed higher intentions for NVBP drugs.

Multilevel analysis of factors

Logistic regression was employed to examine factors associated with NVBP drugs choice intention in older LLD patients, using statistically significant indicators from univariate analysis as independent variables and choice intention as dependent variables (Fig. 1). The adjusted regression model indicated that families with self-rated financial difficulties exhibited a markedly higher intention for NVBP drugs compared to affluent families. Patients without comorbid condition demonstrated a greater propensity for NVBP drugs choice than those with such conditions. Additionally, patients with MIUE insurance were 3.833 times more inclined to select NVBP drugs over those with MICS insurance, attributable to differing medical expense reimbursement rates. Besides, patients without brand requirements were more likely to use NVBP drugs. On the contrary, patients with a monthly household income above CNY 6000 were 63.5% less likely to choose NVBP drugs than those with a monthly household income of less than CNY 3000. The choice intention for NVBP drugs was significantly lower in patients who seek an ordinary doctor than in those who seek an expert. Patients who had experienced an adverse reaction after using NVBP drugs were 55.6% less likely to choose NVBP drugs again. Patients who felt that NVBP drugs are not cheaper than brand-name drugs and whose physicians were unable to change their drug selection showed significantly lower intention for NVBP drugs (Table 5).

Fig. 1
figure 1

Forest plot of choice intention related factors for NVBP drugs in depressed elders (Model 3, Wald Test)

Table 5 Factors associated with choice intention of NVBP drugs among participants (N = 408)

Sensitivity analysis

Considering the stability of efficacy, diabetic patients are less likely to change their treatment medications on their own. We analyzed whether the main outcome would change significantly if participants with diabetes mellitus were excluded: the sensitivity analysis was done for 341 patients (after the exclusion of the 67 individuals with diabetes mellitus). In addition, patients with a history of self-discontinuation have lower treatment adherence and exhibit greater arbitrariness in adjusting their medications. Therefore, we performed an additional sensitivity analysis excluding the participants with a history of self-discontinuation of drugs: the analysis was done for 369 patients (after the exclusion of the 39 individuals with a history of self-discontinuation of drugs). The primary outcome of the two sensitivity analyses did not change materially. (Tables S4-S11 in the Supplementary Appendix)

Baseline characteristics and factors in patients with self-assessed poor economy

A stratified analysis of individuals with self-assessed poor economic status indicated that 75 patients (60.48%) preferred NVBP drugs. Notably, significant disparities were observed in marital status, education level, residence, life satisfaction self-assessment, transportation, ease of obtaining brand-name drugs, drug efficacy, quality consistency, and the influence of surrounding individuals compared to the overall population (Table 6). Patients who did not self-assessed economic difficulties, those who self-assessed economic affluence, and those who reported an average economic status are detailed in the supplementary file. (Tables S12-S14 in the Supplementary Appendix)

Table 6 Individual characteristics of the participants with self-assessed poor economy (N = 124)

Related factors of choice intention for NVBP drugs among participants with self-assessed poor economic status were as follows (Table 7).

Table 7 Factors associated with choice intention of NVBP drugs among participants with self-assessed poor economy (N = 124)

Interaction effect between the monthly household income and patients self-assessed economy conditions

Subgroup analysis based on monthly household income revealed that for patients with a monthly household income of less than CNY 3000, there was no significant difference in NVBP drug choice intention based on self-assessed economic conditions. However, for patients with a monthly household income of CNY 3000 or more, significant differences in NVBP drug choice intention were observed based on self-assessed economic conditions (Table 8). The interaction effect between monthly household income and self-assessed economic conditions was illustrated in Fig. 2.

Fig. 2
figure 2

Probability plot of interaction effects among monthly household income and self-assessed economic conditions

Table 8 Subgroup analysis of monthly household income (N = 408)

Discussion

Currently, with the constriction on national medical insurance and the implementation of NVBP policy, the availability and substitution rate of NVBP drugs in clinical settings are expected to rise [34]. However, the selection preference for NVBP drugs among older patients with LLD significantly influences their clinical adherence and efficacy stability [35]. Consequently, it is imperative to assess the choice intention and associated factors of this demographic to inform future policy adjustments. This research filled this gap by revealing that economic factors, health status, medical needs, and doctor recommendations influence the choice intention of NVBP drugs among patients with LLD.

Our study demonstrated that more than half (53.68%) of the participants tend to choose NVBP drugs, which is similar to the findings of Sintayehu Alemu [36]. Patients’ preference for NVBP drugs has not been reported yet, especially in older patients with LLD. However, a recent generic drugs survey in China showed that the subjects’ tendency to choose generic drugs was 71.4%, which is higher than in our research [37]. Existing studies on patients with rheumatic disease [38], physicians [39], pharmacists [40], and patients and caregivers reported choice intention [41] ranging from 47.83 to 84.90%. Several factors, such as participants characteristics, different measurement tools, sampling differences, age range heterogeneity, sample size, policy system, and socio-cultural variations may explain the different attitude in these studies.

Economic factors significantly influence drug selection in older patients with LLD [42]. In this study, family monthly income and self-assessed economic conditions impacted drug choice. Participants with self-assessed poor economic status were 3.094 times more likely to choose NVBP drugs than their wealthier counterparts, likely due to the lower cost of NVBP drugs. Families with a monthly income of exceeding CNY 6000 exhibited a relatively negative attitude toward NVBP drugs, aligning with previous research conducted in China. The study revealed that patients without a fixed occupation and those with chronic diseases were more price-sensitive when choosing drugs, whereas those with higher incomes were less influenced by drug prices [43]. Given the higher cost of brand-name drugs, patients with better economic conditions showed a preference for these options, supported by their families’ financial resources [44].

Medical insurance and cash expenditure are also associated with the choice intention for NVBP drugs. Participants with MIUE insurance had a 3.833 times higher likelihood of selecting NVBP drugs compared to those with MICS insurance, likely due to MIUE’s lower reimbursement ratio [45]. In China, MICS offers higher drug reimbursement percentage and broader coverage than MIUE due to improved civil service benefits. Consequently, MIUE-insured patients incur higher out-of-pocket costs and prefer cheaper NVBP drugs. However, when NVBP drugs are excluded from the insurance catalog, leading to increased cash expenditure, the propensity to choose NVBP drugs diminishes. In other words, patients are more likely to accept lower out-of-pocket medical plans, which is in line with the findings of a study conducted in the United States. The study indicated that when drug prices rise, increased out-of-pocket costs reduce the payment willingness of the patients [46].

The current study indicated that older patients with LLD without chronic diseases were 1.679 times more likely to choose generic drugs under the NVBP policy, contrary to findings from a Swiss study [47]. This discrepancy may stem from the diminished efficacy of antidepressants in older patients compared to younger ones [48], coupled with notable differences in pharmacokinetic properties [49]. At the same time, older patients with LLD and chronic diseases require long-term medication. Due to the high proportion of medical insurance reimbursement for certain chronic diseases in China, the choice of NVBP drugs does not significantly reduce their out-of-pocket costs. Although NVBP drugs substantially reduce total drug costs, for some older patients, out-of-pocket expenses may not reduce for some older patients, and the therapeutic effect may be suboptimal, potentially exacerbating existing conditions. Consequently, these patients are cautious about using NVBP drugs and prefer brand-name drugs with long-term clinically proven results. Moreover, some patients prefer brand-name drugs when facing long-term treatment, especially for chronic diseases [50]. Conversely, patients without chronic diseases view NVBP drugs positively, perceiving them as effective and cost-saving over long-term use.

Interestingly, patients with ordinary registration demonstrated a lower propensity to choose NVBP drugs, seemingly contradicting the relationship between financial status and NVBP drug selection. This paradox may be attributed to the higher trust and compliance observed among patients consulting medical experts compared to those seeing ordinary practitioners [51]. Due to policy, physicians typically recommend NVBP drugs in hospitals, and patients presented with treatment plans by medical experts generally exhibit high acceptance. In contrast, those with ordinary registration may lack such trust in their physicians. Nevertheless, patient trust in doctors remains pivotal for treatment adherence [52].

The study indicated that adverse reactions to NVBP drugs significantly reduced patient willingness to use them. Adverse reactions have been proven to be one of the most common obstacles affecting patients’ medication behavior [53], which seriously affects patients’ compliance. Older patients with LLD are less inclined to choose NVBP drugs again if they experience adverse reactions, and this reluctance persists even after the reactions subside [54]. Moreover, injection pain [55] and drug interactions [56] can diminish willingness.

The present study identified that brand preference significantly influences the choice intention for NVBP drugs. Older patients with LLD, who had no requirements for drug brands, often prefer NVBP drugs. Prior to the NVBP policy, China implemented an evaluation of generic drugs’ treatment and efficacy consistency, focusing on quality and bioequivalence with brand-name drugs, to standardize quality and ensure efficacy. Generic drugs that passed this consistency evaluation could replace brand-name drugs, forming the basis of NVBP. Thus, NVBP drugs are suitable for older patients with LLD who do not require brand of drugs. Conversely, patients who prioritize brand-name drugs perceive NVBP drugs as cheaper but inferior in quality and efficacy. Additionally, a small cohort of patients who experienced side effects or poor efficacy with generic drugs exhibit hesitation toward NVBP drugs. Their trust in brand-name drugs makes them reluctant to use NVBP drugs to avoid potential dosage form and specification confusion. Evidence exhibited that patients’ attitudes toward generic drugs influence final prescriptions [57]; fortunately, this attitude is gradually shifting [58].

The analysis demonstrated that physicians’ recommendations significantly influenced patients’ attitudes toward NVBP drugs. To meet NVBP drug usage targets [59], many hospitals have reduced the availability of brand-name drugs. Patients more inclined to choose NVBP drugs were more likely to accept physician advice to switch. Conversely, patients accustomed to original brand-name drugs exhibited reluctance due to the stable efficacy of these medications. Older patients with LLD and severe conditions expressed concerns that NVBP drugs might exacerbate their symptoms, leading to rejection of physicians’ recommendations. This reluctance is reinforced by studies questioning the clinical efficacy and safety of generic drugs, indicating a need for further clinical validation on generic substitutions [60]. Additionally, social influences and concerns about NVBP drugs further impacted patients’ acceptance of physician-recommended NVBP drugs.

Individuals with self-assessed poor economic status displayed heightened price sensitivity, a factor confirmed by the current study. Stratified analysis revealed that patients with MIUE and MIUR insurance were 1.411 and 1.071 times more likely to select NVBP drugs compared to those with MICS insurance. The lower reimbursement ratios of MIUR and MIUE compared to MICS imply that these patients incur higher out-of-pocket expenses for the same medications, thus preferring the more affordable NVBP drugs to minimize cash expenditure. Additionally, brand recognition influences their drug selection intention; patients indifferent to brand names were more inclined to choose NVBP drugs than those concerned with brand identity. However, patients over 70 exhibited reduced willingness to opt for NVBP drugs, likely due to an increased reliance on medications and a preference for trusted brand-name drugs as they age [61].

Through the interaction analysis of choice intention for NVBP drugs based on different levels of self-assessed economic status and monthly household income, we found significant interactions between them. When self-assessed economic status was affluent, patients with a monthly household income more than CNY 3000 showed lower choice intention for NVBP drugs. Conversely, when self-assessed economic status was difficult, only patients with a household monthly income more than CNY 6000 showed lower choice intention for NVBP drugs. Additionally, for those with a household monthly income less than CNY 3000, there is a relatively higher choice intention of NVBP drugs, with no significant difference between the subgroups based on self-assessed economic status. When monthly household economic income ranged from CNY 3000 to 6000, choice intention for NVBP drugs gradually increased with self-assessed economic status shifting from affluent to difficult. Interestingly, patients with a monthly household income more than CNY 6000 exhibited lower choice intention for NVBP drugs despite self-assessed economic difficulty. One possible reason is that despite their self-assessed difficulty, their actual income is relatively high. Their mismatched assessments may be related to symptoms of LLD, including delusion of poverty [62]. Therefore, their self-assessment may include more disease factors. Their willingness to choose NVBP drugs is more related to actual household monthly income. This is similar to a study in Denmark, which suggests that people with a socially advantaged background may use alternative medications because they have more choices [63].

Our study was the first to reveal the choice intention for NVBP drugs and its associated factors among older patients with LLD. Most prior studies focused on attitudes toward generic drugs and NVBP efficacy. In the face of national compulsory substitution of brand-name drugs, few studies have paid attention to the willingness of older patients with LLD to choose NVBP drugs. This study addresses this gap by identifying the choice intention and influencing factors among older patients with LLD, offering valuable insights for policymakers. Older patients with LLD prioritize medical insurance reimbursement policies and their responses to medication when choosing NVBP drugs. Additionally, family economic factors and disease status significantly influence their choice intention. The interaction effect between actual economic condition and self-assessed economic condition highlights the differences in choice intention among various subgroups. Considering the audience for NVBP drugs, we conducted a stratified study focusing on economically disadvantaged groups to obtain more detailed influencing factors. Moreover, we excluded participants with diabetes mellitus and those with a history of self-discontinuation of drugs for sensitivity analysis, and found a similar choice intention for NVBP drugs. When extended to other groups, our results can also partially explain patient’s choice intention for NVBP drugs and associated factors, including economic factors, physical condition, NVBP policy, and medical behavior.

Strengths and limitations

Although presenting the choice intention for NVBP drugs and related factors among LLD patients, our study still had some limitations. First, the small sample may not be representative of the entire data of depressed elders in China. Second, since the dataset spans a relatively short period of time, the 4-months data may not be sufficient to fully evaluate the choice intention of LLD patients. However, prior to the promotion of NVBP, our ongoing observations of patients’ intention about generics and, to our knowledge, the absence of uncontrolled potential time-varying confounding factors suggest that our findings on the basis of available information are valid. Third, the survey was cross-sectional in nature; consequently, causality cannot be inferred. Future surveys would expand the sample size and survey time to validate the findings.

Conclusion

Choice intention for NVBP drugs among older patients with LLD was moderate after the NVBP policy. Economic factors, medical insurance, out-of-pocket expenses, combined chronic diseases, registration type, adverse reactions, brand requirements and physician recommendations were significantly associated with the choice intention. Public health decision-makers can enhance awareness of NVBP drugs among older LLD patients through professional medical services and improved physician-patient communication. Additionally, expanding the scope and proportion of medical insurance reimbursement, advancing substitution studies, and conducting post-marketing re-evaluations can increase patients’ willingness to choose NVBP drugs.

Data availability

The original contributions presented in this study are included in the article material, further inquiries can be directed to the corresponding authors.

Abbreviations

NVBP:

national volume-based procurement

LLD:

late-life depression

CNY:

Chinese Yuan

AOR:

adjusted odds ratio

MICS:

Civil servant medical insurance

MIUE:

Urban Employee medical insurance

MIUR:

Urban Resident medical insurance

AOR:

adjusted odds ratios

CI:

confidence internal

References

  1. Okereke OI, Reynolds CF 3rd, Mischoulon D, Chang G, Vyas CM, Cook NR, Weinberg A, Bubes V, Copeland T, Friedenberg G, et al. Effect of long-term vitamin D3 supplementation vs placebo on risk of Depression or clinically relevant depressive symptoms and on change in Mood scores: a Randomized Clinical Trial. JAMA. 2020;324(5):471–80.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Bingham KS, Flint AJ, Mulsant BH. Management of late-life depression in the context of cognitive impairment: a review of the recent literature. Curr Psychiatry Rep. 2019;21(8):74.

    Article  PubMed  Google Scholar 

  3. Zhao Y, Wu X, Tang M, Shi L, Gong S, Mei X, Zhao Z, He J, Huang L, Cui W. Late-life depression: Epidemiology, phenotype, pathogenesis and treatment before and during the COVID-19 pandemic. 2023, 14.

  4. Kok RM, Reynolds CF. 3rd: management of Depression in older adults: a review. JAMA. 2017;317(20):2114–22.

    Article  PubMed  CAS  Google Scholar 

  5. Zhong Y, Gao J, Bo D, Liu R, Chen S, Miu Q, Wu Q. A meta-aimlysis of detection rate of depressive symptoms among the elderly in pension institutions in China. Chin Mental Health Joumal. 2020;34(12):1006–15.

    Google Scholar 

  6. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England). 2020, 396(10258):1204–1222.

  7. Polenick CA, Martire LM. Caregiver attributions for late-life depression and their associations with caregiver burden. Fam Process. 2013;52(4):709–22.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Manetti A, Hoertel N, Le Strat Y, Schuster JP, Lemogne C, Limosin F. Comorbidity of late-life depression in the United States: a population-based study. Am J Geriatric Psychiatry: Official J Am Association Geriatric Psychiatry. 2014;22(11):1292–306.

    Article  Google Scholar 

  9. Alexopoulos GS. Depression in the elderly. Lancet (London England). 2005;365(9475):1961–70.

    Article  PubMed  Google Scholar 

  10. Holvast F, van Hattem BA, Sinnige J, Schellevis F, Taxis K, Burger H, Verhaak PFM. Late-life depression and the association with multimorbidity and polypharmacy: a cross-sectional study. Fam Pract. 2017;34(5):539–45.

    Article  PubMed  Google Scholar 

  11. Kratz T, Diefenbacher A. Psychopharmacological treatment in older people: avoiding drug interactions and polypharmacy. Deutsches Arzteblatt Int. 2019;116(29–30):508–18.

    Google Scholar 

  12. Vincent Rajkumar S. The high cost of prescription drugs: causes and solutions. Blood cancer J. 2020;10(6):71.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Wang L, Tang Y, Roshanmehr F, Bai X, Taghizadeh-Hesary F, Taghizadeh-Hesary F. The Health Status transition and medical expenditure evaluation of Elderly Population in China. Int J Environ Res Public Health 2021, 18(13).

  14. Penghui X, Xicang Z, Haili L. Direct and indirect effects of health expenditure on economic growth in China. Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit 2022, 28(3):204–212.

  15. 2020 Statistical Bulletin of China’s Health Development. [http://www.gov.cn/guoqing/2021-07/22/content_5626526.htm

  16. Council TGOS. Notice of the General Office of the State Council on Issuing the Pilot Program for the Centralized Procurement and Use of Drugs Organized by the State. http://www.gov.cn/zhengce/content/2019-01/17/content_5358604.htm. 2019.

  17. Seidman G, Atun R. Do changes to supply chains and procurement processes yield cost savings and improve availability of pharmaceuticals, vaccines or health products? A systematic review of evidence from low-income and middle-income countries. BMJ Global Health. 2017;2(2):e000243.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hursh SR. Behavioral economics of drug self-administration: an introduction. Drug Alcohol Depend. 1993;33(2):165–72.

    Article  PubMed  CAS  Google Scholar 

  19. Hu Y, Chen S, Qiu F, Chen P, Chen S. Will the Volume-Based Procurement Policy Promote Pharmaceutical Firms’ R&D Investment in China? An Event Study Approach. Int J Environ Res Public Health 2021, 18(22).

  20. Yuan J, Lu ZK, Xiong X, Lee TY, Huang H, Jiang B. Impact of National volume-based procurement on the procurement volumes and spending for antiviral medications of Hepatitis B Virus. Front Pharmacol. 2022;13:842944.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Yang Y, Hu R, Geng X, Mao L, Wen X, Wang Z, Hao S, Cui D, Mao Z. The impact of National Centralised Drug Procurement policy on the use of policy-related original and generic drugs in China. Int J Health Plann Manag. 2022;37(3):1650–62.

    Article  Google Scholar 

  22. Yuan J, Lu ZK, Xiong X, Jiang B. Lowering drug prices and enhancing pharmaceutical affordability: an analysis of the national volume-based procurement (NVBP) effect in China. BMJ Global Health 2021, 6(9).

  23. Kuo CY, Lin CH, Lane HY. Molecular basis of late-life depression. Int J Mol Sci 2021, 22(14).

  24. Inoue Y, Stickley A, Yazawa A, Aida J, Koyanagi A, Kondo N. Childhood adversities, late-life stressors and the onset of depressive symptoms in community-dwelling older adults. Aging Ment Health. 2022;26(4):828–33.

    Article  PubMed  Google Scholar 

  25. Grayson L, Thomas A. A systematic review comparing clinical features in early age at onset and late age at onset late-life depression. J Affect Disord. 2013;150(2):161–70.

    Article  PubMed  Google Scholar 

  26. Yang Y, Tong R, Yin S, Mao L, Xu L, Hao S, Mao Z. The impact of 4 + 7 volume-based drug procurement on the volume, expenditures, and daily costs of antihypertensive drugs in Shenzhen, China: an interrupted time series analysis. BMC Health Serv Res. 2021;21(1):1275.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Tao J, Li S, Xu Q, Gong S, Zeng F. Patients’ attitudes towards switching to national volume-based procurement (NVBP) Drugs-a qualitative investigation in Wuhan, China. BMC Health Serv Res. 2023;23(1):62.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Taylor WD. Clinical practice. Depression in the elderly. N Engl J Med. 2014;371(13):1228–36.

    Article  PubMed  CAS  Google Scholar 

  29. Gardner DM, MacKinnon N, Langille DB, Andreou P. A comparison of factors used by physicians and patients in the selection of antidepressant agents. Psychiatric Serv (Washington DC). 2007;58(1):34–40.

    Article  Google Scholar 

  30. Aziz H, Hatah E, Makmor-Bakry M, Islahudin F, Ahmad Hamdi N, Mok Pok Wan I. Qualitative exploration of the modifiable factors for medication adherence among subsidised and self-paying patients in Malaysia. BMC Health Serv Res. 2018;18(1):605.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Neves SJ, Marques AP, Leal MC, Diniz Ada S, Medeiros TS, Arruda IK. Epidemiology of medication use among the elderly in an urban area of Northeastern Brazil. Rev Saude Publica. 2013;47(4):759–67. discussion 768.

    Article  PubMed  Google Scholar 

  32. Deng M, Zhai S, Ouyang X, Liu Z, Ross B. Factors influencing medication adherence among patients with severe mental disorders from the perspective of mental health professionals. BMC Psychiatry. 2022;22(1):22.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Barriball KL, While A. Collecting data using a semi-structured interview: a discussion paper. Journal of advanced nursing 1994, 19(2):328–335.

  34. Qu J, Zuo W, Took RL, Schafermeyer KW, Lukas S, Wang S, Du L, Liu X, Gao Y, Li J, et al. A nationwide survey exploring physicians’ and pharmacists’ knowledge, awareness and perceptions regarding generic medicines in China. BMC Health Serv Res. 2022;22(1):1069.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Yap AF, Thirumoorthy T, Kwan YH. Systematic review of the barriers affecting medication adherence in older adults. Geriatr Gerontol Int. 2016;16(10):1093–101.

    Article  PubMed  Google Scholar 

  36. Alemu S, Tadesse N, Mulugeta T, Assefa D. Generic substitution for prescribed brand medicines in Ethiopia: knowledge, attitude and practice among pharmacy professionals in community drug retail outlets. BMC Health Serv Res. 2022;22(1):926.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Qu J, Zuo W, Wang S, Du L, Liu X, Gao Y, Li J, Pan H, Du X, Mei D, et al. Knowledge, perceptions and practices of pharmacists regarding generic substitution in China: a cross-sectional study. BMJ open. 2021;11(10):e051277.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Scherlinger M, Langlois E, Germain V, Schaeverbeke T. Acceptance rate and sociological factors involved in the switch from originator to biosimilar etanercept (SB4). Semin Arthritis Rheum. 2019;48(5):927–32.

    Article  PubMed  Google Scholar 

  39. Zhao M, Zhang L, Feng Z, Fang Y. Physicians’ Knowledge, Attitude and Practice of Generic Substitution in China: A Cross-Sectional Online Survey. Int J Environ Res Public Health 2021, 18(15).

  40. Li WJ, Xia MJ, Gong SW, Ding YF. Perceptions of generic drugs in the pharmacists of Public hospitals: a cross-sectional survey in Hubei Province of China. Curr Med Sci. 2021;41(5):987–95.

    Article  PubMed  Google Scholar 

  41. Hohmann NS, Poudel N, Garza KB, Surry D, Hansen RA, Harris I, Kiptanui Z, Oguntimein O, Frost MM, Qian J. Patient and caregiver opinions about an FDA-developed generic drug educational handout: a pilot cross-sectional survey. J Am Pharmacists Association: JAPhA. 2021;61(2):e120–8.

    Article  Google Scholar 

  42. Tachi T, Saito K, Esaki H, Kanematsu Y, Yoshida A, Sugita I, Noguchi Y, Makino T, Umeda M, Yasuda M, et al. Medical and economic factors influencing generic drug use in the Japanese public health system: influencing factors in different populations. Int J Health Plann Manag. 2018;33(2):489–501.

    Article  Google Scholar 

  43. Zhang Z, Ge P, Yan M, Niu Y, Liu D, Xiong P, Li Q, Zhang J, Yu W, Sun X et al. Self-medication behaviors of Chinese residents and consideration related to drug prices and medical insurance reimbursement when Self-Medicating: a cross-sectional study. Int J Environ Res Public Health 2022, 19(21).

  44. Ito Y, Hara K, Yoo BK, Tomio J, Kobayashi Y. Can income-based co-payment rates improve disparity? The case of the choice between brand-name and generic drugs. BMC Health Serv Res. 2019;19(1):780.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Yang EJ, Galan E, Thombley R, Lin A, Seo J, Tseng CW, Resneck JS, Bach PB, Dudley RA. Changes in drug list prices and amounts paid by patients and insurers. JAMA Netw open. 2020;3(12):e2028510.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Rome BN, Feldman WB, Desai RJ, Kesselheim AS. Correlation between changes in brand-name drug prices and patient out-of-Pocket costs. JAMA Netw open. 2021;4(5):e218816.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Denoth A, Pinget C, Wasserfallen JB. Citizens’ preferences for brand name drugs for treating acute and chronic conditions: a pilot study. Appl Health Econ Health Policy. 2011;9(2):81–7.

    Article  PubMed  Google Scholar 

  48. Pollock B, Forsyth C, Bies R. The critical role of clinical pharmacology in geriatric psychopharmacology. Clin Pharmacol Ther. 2009;85(1):89–93.

    Article  PubMed  Google Scholar 

  49. Tedeschini E, Levkovitz Y, Iovieno N, Ameral VE, Nelson JC, Papakostas GI. Efficacy of antidepressants for late-life depression: a meta-analysis and meta-regression of placebo-controlled randomized trials. J Clin Psychiatry. 2011;72(12):1660–8.

    Article  PubMed  CAS  Google Scholar 

  50. Carrera M, Skipper N. Physicians are more likely than non-physicians to use brand-name drugs to treat their chronic conditions. J Epidemiol Commun Health. 2017;71(9):874–81.

    Article  Google Scholar 

  51. Wang Y, Krska J, Lin B, Mei Y, Katusiime B, Guo Y, Zhang Z. Cross-cultural adaptation and reliability testing of Chinese Version of the living with Medicines Questionnaire in Elderly patients with Chronic diseases. Patient Prefer Adherence. 2020;14:2477–87.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Feng Y, Guan S, Xu Y, Chen W, Huang X, Wang X, Zhang M. Effects of the two-Dimensional structure of Trust on Patient Adherence to Medication and non-pharmaceutical treatment: a cross-sectional study of rural patients with essential hypertension in China. Front Public Health. 2022;10:818426.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Leporini C, De Sarro G, Russo E. Adherence to therapy and adverse drug reactions: is there a link? Exp Opin Drug Saf. 2014;13(Suppl 1):S41–55.

    Article  Google Scholar 

  54. Pucino F, Beck CL, Seifert RL, Strommen GL, Sheldon PA, Silbergleit IL. Pharmacogeriatrics. Pharmacotherapy. 1985;5(6):314–26.

    Article  PubMed  CAS  Google Scholar 

  55. Usach I, Martinez R, Festini T, Peris JE. Subcutaneous Injection of Drugs: literature review of factors influencing Pain Sensation at the Injection Site. Adv Therapy. 2019;36(11):2986–96.

    Article  CAS  Google Scholar 

  56. Wallace J, Paauw DS. Appropriate prescribing and important drug interactions in older adults. Med Clin N Am. 2015;99(2):295–310.

    Article  PubMed  Google Scholar 

  57. Kesselheim AS, Gagne JJ, Franklin JM, Eddings W, Fulchino LA, Avorn J, Campbell EG. Variations in patients’ perceptions and use of generic drugs: results of a National Survey. J Gen Intern Med. 2016;31(6):609–14.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Kaplan CM. Capsule Commentary on Kesselheim et. al., variations in patients’ perceptions and use of generic drugs: results of a National Survey. J Gen Intern Med. 2016;31(6):647.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Menglijun. Analysis on the Pilot Operation of Drug Centralized procure ment and use in Shenyang. China Health Insurance 2019(08):28–31.

  60. van Gelder T. What is the future of Generics in transplantation? Transplantation. 2015;99(11):2269–73.

    Article  PubMed  Google Scholar 

  61. Leclerc J, Thibault M, Midiani Gonella J, Beaudoin C, Sampalis J. Are generic drugs used in Cardiology as effective and safe as their brand-name counterparts? A systematic review and Meta-analysis. Drugs. 2020;80(7):697–710.

    Article  PubMed  Google Scholar 

  62. Geriatric Psychiatric Group Psychiatric Branch of Chinese Medical Association. Expert consensus on diagnosis and treatment of late life depression. Chin J Psychiatry. 2017;50:329–34.

    Google Scholar 

  63. Ishtiak-Ahmed K, Christensen KS, Gasse C. Do sociodemographic and clinical factors affect the selection of initial antidepressant treatment for depression in older adults? Results from a nationwide descriptive study in Denmark. J Affect Disord. 2023;334:21–5.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

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The work is supported by the HENGRUI Foundation of Jiangsu Pharmaceutical Association (No. H202139).

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JW and LQ conceived the study; JW and WX carried out the data analysis and interpretation of the results; QZ and YS performed literature searching and summary; JW contributed to writing the first draft of the manuscript, and JL edited and revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yuan Shen.

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Wu, J., Qiu, L., Li, J. et al. Choice intention for the national volume-based procurement drug and its associated factors: a cross-sectional study on patients with late-life depression in China. BMC Psychiatry 24, 580 (2024). https://doi.org/10.1186/s12888-024-06026-1

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