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A cross-sectional study on knowledge and behavior regarding medication usage among guardians of left-behind children: evidence from China

Abstract

Purpose

The primary objective of this study was to evaluate knowledge and behavior of medication use among guardians of left-behind children (LBC) and non-left-behind children (NLBC).

Methods

A cross-sectional study was conducted in Chengdu, the major city of southwestern China from May 2020 to August 2020. A logistic regression model was conducted to assess medication-related knowledge and behavior of guardians between the LBC group and NLBC group, adjusted for confounders. Stratified analysis was further performed.

Results

The overall mean scores for knowledge and for behavior were 20.22 (standard deviation = 4.472) and 15.77 (standard deviation = 3.604), respectively. No significant difference was found in medication-related knowledge and behavior scores between LBC and NLBC guardians (P > 0.05). A significant difference was only observed after adjusting for past medical history and history of present illness (HPI).

Conclusion

There was no significant difference in the awareness and behavior of medication use between guardians of LBC and NLBC in this study, having more contact with the doctor was an effective method of health education that could possibly improve their health literacy.

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Introduction

Left-behind children (LBC) are a huge and distinctive group of the population, referring to minors under the age of 16 whose parents are both migrant workers or either is a migrant worker while the other has no guardianship ability [1]. The left-behind children has long been a pressing public health challenge globally, commonly existing in low- and mid-income countries like China [2], Philippines [3] and many other countries [4] with a large proportion of workers from rural areas, where they leave their children behind for financial reasons. For example, in Philippines, approximately 27% of children (9 million) have at least one parent living abroad, while in Kyrgyzstan this figure is at least 10% (259,000 children) [5]. China, back in 2016, had an LBC population of 61 million [6]. Due to China’s rapid economic development and urbanization in recent years, a large rural-urban population shift has occurred, culminating in almost 70 million left-behind children by 2019. There are many different models of care for LBCs. Based on limited evidence, it is reported that the majority of guardians were intergenerational (grandparents), single-parent (father or mother), ascendant (relatives or neighbors), peer (older siblings) and self. Single-parent guardianship predominated, accounting for around 50–80% of all guardianships in China [7] and parents of LBCs have been encouraged by the government to have at least one parent to accompany with the children. Despite of beneficial policy aiming at encouraging both parents to work in their hometown and taking care of their children, the parents may still leave their children as LBC as a result of an improved income, uncertainty of educational opportunities and high living costs in inflow areas [8]. More than one-third of LBC is in western China, despite the population of western China is less than a tenth of that of the east [9], calling for the need for increased research attention.

Compared to NLBC, LBC suffer from higher levels of poor nutrition and physical inactivity, accident and trauma [2, 10,11,12]. They are also more vulnerable to sickness or develop chronic issues [13]. In addition, LBC may experience more neglect from guardians [14, 15] and receive less or inadequate care which could lead to an increased risk of health incidents [16]. As children and adolescents are at the growth and development stage, they are highly sensitive to drug reactions, forming a group with a high incidence of adverse drug reactions, including respiratory failure, brain damage, ototoxicity and even death [17, 18]. For example, the widely-used broad-spectrum antibiotics for treating severe infections (e.g., tuberculosis) in China are one of the top causes of hearing loss in children due to improper use of medication [19]. In a systematic review conducted by Smyth et al. [18], the incidence of adverse drug reactions was reported at 16.8% among all children exposed to a drug and negatively affected children’s quality of life. Meanwhile, a previous study shows that the lack of appropriate knowledge, attitudes, and practices relate to the safe use of medications [19]. Furthermore, insufficient knowledge and inappropriate behavior of medication in guardians have resulted in countless adverse drug events, especially in LBC with less care from guardians. However, the study on medication-related knowledge and behavior of guardians is quite limited, especially in southwest China, where there is little data to acknowledge the extent to which the guardians of LBC understand medication use. There is an urgent need for the region where the majority of LBCs are located or originated.

Our study aimed to evaluate knowledge and behavior of medication uses among guardians of LBC in southwestern China, the result of which would inform clinicians and guardians to pay more attention to this vulnerable population.

Methods

Participants

We recruited participants by convenience sampling in the pediatric outpatient clinic at the Second West China Hospital of Sichuan University from May 2020 to August 2020. All visitors were given an informed consent about our research project in the waiting area and were asked their willingness to participate in the project. All the objects included gave consent on spot, and filled out the questionnaires by themselves or under the assistance of interviewers.

We used Delphi technique and the items on questionnaire were checked for clarity and validity by 3 independent experts before its distribution to respondents. After sending the questionnaire to a small pilot group (n = 30), minor edits were made based on comments from the pilot group before being formally distributed to a larger sample. The reliability of Medicine knowledge and behaviors Scales was represented by a Cronbach’s α, which turned out good in pilot (Cronbach’s α = 0.792 to 0.532).

Measurements

Left-behind status

LBC is defined as the children whose one or both parents migrate from where the children live and leave the children behind to live alone or with grandparents or other relatives for at least 6 months. To determine if a child belongs to LBC group, we design a cross-validation based on ‘Mean Guardian’s Age’ and ‘Child’s Age’ in the questionnaire. If the participant reported that a child belongs to non-LBC (NLBC) group, that means that the guardian is (one of) the parents, whose age is assumed to be around 20 to 50 years older than the child. Therefore, if the participant reported that the guardian’s age is over 60 years old while the child’s age is under 5, we considered this as reporting error and excluded it (n = 8).

Medicine knowledge and behaviors scales

A specific questionnaire was developed for this study, composed of 2 sections to assess the knowledge and behaviors of sampled children’s guardians in addition to the demographic Sect. (10 items): a section for guardian’s knowledge of medication for children (28 items) and a section for guardian’s behaviors on medication for children (8 items) (Table 1).

Table 1 Questions included in a survey of safe medication practices of guardian of children

The first section consisted of 28 closed-ended questions (yes/no) intended to assess the knowledge of children’s medications among the guardians. All of the items in the knowledge assessment have only one correct answer with each scored on a 1-point scale (1 = correct, 0 = incorrect). Higher scores represented better knowledge of children’s medications.

The second section consisted of 8 close-ended questions intended to investigate the guardians’ behaviors regarding the safety of children’s medications. The first question is a multiple-choice question, with 10 points for all items selected, and one point deducted for each missing item. All other items in the behavior assessment have only one correct answer and were scored on a 1-point scale (1 = correct, 0 = incorrect). The higher sum of scores represented superior behaviors on children’s medication. We also collected the medical record of children in our hospital and organized the past medical history and history of present illness (HPI) to reflect the frequency of guardians’ contact with doctors.

Statistical analysis

Statistical analysis was performed with R (version 4.0.3). All data in the demographic section were categorical, the comparisons were performed using chi-square tests between the LBC group and NLBC group.

The answers to different questions regarding the medications’ knowledge/behaviors were calculated as categorical variables using a cut-off point (the median score among guardians of NLBC). A participant was categorized into good knowledge/behaviors if the sum of scores was greater than the cut-off or into low knowledge/behaviors if the sum of scores was less than the cut-off. We conducted logistic regression models with a level of knowledge/behaviors (low versus good knowledge/behaviors) as the dependent variable to assess for an independent effect of left-behind status (LBC group and NLBC group), adjusting for the kid’s age, kid’s gender, main guardian’s age, main guardian’s gender, main guardian’s occupation, residential area, family yearly income, education level of the father/mother and the frequency of the guardian meeting the child. The past medical history and HPI was also taken into account to balance the influence of health education by the health care providers that they might receive throughout their health seeking experience.

We performed a stratified analysis to control the confounding factors and to understand the stratified specific relationship between the exposure factors. We stratified by sex, age, residential area and etc. The model in the stratified analysis is the same as the model described above. P ≤ 0.05 was considered statistically significant for all tests. Estimated effects were presented with odds ratios (OR) and 95% confidence intervals (95%CI).

The past medical history is an overview of the child’s health before the present illness, including previous hospitalizations and any significant illness. We divided past medical history into two groups: with and without. The HPI is a chronological description of the development of the patient’s present illness from the first sign and/or symptom or from the previous encounter to the present. It includes location, quality, severity, duration, timing, associated signs and symptoms, and etc. We divided the duration of illness recorded in the HPI into four groups: less than one year, 1 ~ 2 years, 2 ~ 3years, and more than 3 years. These two categorical data will be used as confounding factors in the model.

Furthermore, we performed a sensitivity analysis in which the answers to different questions regarding the medications’ knowledge/behaviors were calculated as categorical variables using a cut-off point (the 1st quartile score or 3rd quartile score among guardians of NLBC). We conducted logistic regression models with the level of knowledge/behaviors (low versus good knowledge/behaviors) as the dependent variable to assess an independent effect of left-behind status (LBC group and NLBC group). We also conducted liner regression models with the scores of knowledge/behaviors (continuous variables) as the dependent variable. All models were adjusted for the kid’s age, kid’s gender, main guardian’s age, main guardian’s gender, main guardian’s occupation, residential area, family yearly income, education level of the father/mother and the frequency of the guardian meeting the child.

Result

Sociodemographic characteristics of sample subjects

Descriptive statistics regarding the sociodemographic characteristics of the survey sample are presented in Table 2. In this study, all variables were described with counts and percentages. A total of 1588 questionnaires were completed by participants of which 1451 were enrolled, resulting in a validity rate of 91.37%. 223 (15.37%) were left-behind children and 1228 (84.63%) were non-left behind children. There was no significant difference in the demographic variables between LBC and NLBC concerning the kid’s gender (P = 0.258), father’s education level (P = 0.082), mother’s education level (P = 0.378), main guardian’s gender (P = 1) and family yearly income (P = 0.565). Among the LBC, 81.61% were under 5 years old and 18.39% were between 6 and 11 years old. Among the NLBC, 60.91% were under 5 years old, 33.06% were between 6 and 11 years old and 6.03% were between 12 and 15 years old, which were significantly younger than LBCs (P < 0.001). Concerning the residential area, 84.30% LBC and 71.34% NLBC lived in suburb, with a statistically significant difference (P < 0.001). The result suggests that the guardian of the LBC group was older (P < 0.001). Compared with NLBC group, the guardians of the LBC group were more likely to work as farmers (20.36% verse 52.0%, P < 0.001). In addition, the LBC’s guardians meet their children more frequently than the NLBC’s guardians (P = 0.023) do.

Table 2 Demographic charateristics for participants (N=1451)

Guardian’s knowledge about the medications for the child

The overall mean knowledge scored was 20.22 (standard deviation = 4.472). Significant differences in knowledge scores were found between LBC and NLBC (P<0.05). After adjusting for basic confounders including kid’s age, kid’s gender, guardian’s gender, guardian’s age and residential area, we found no difference in knowledge scores between LBC and NLBC (OR 0.705, 95%CI 0.424–1.172). After additionally adjusting for confounders including main guardian’s occupation, family yearly income, education level of the father/mother and the frequency of the guardian meeting the child, we detected no statistically significant association between left-behind status and knowledge scores (OR 0.870, 95%CI 0.529–1.429).

To further examine the factors affecting it, we constructed a stratified logistic regression model. The results indicated that there was no difference in the level of guardian’s medication knowledge among LBC and NLBC in either boys (OR 0.794, 95%CI 0.468–1.347) or girls (OR 0.824, 95%CI 0.418–1.622). Moreover, when kids were younger (under 5 years old) or older (between 6 and 11 years old) neither of them was statistically significant (95%CI 0.456–1.486,95%CI 0.541–6.434). Furthermore, when the main guardian’s age was between 45 and 59 years old, no significant difference was found in the left-behind status of knowledge scores (OR 1.088, 95%CI 0.535–2.210), and when they were older than 60 years old, resulted remained similarly non-significant (OR 0.608, 95%CI 0.115–3.220). Additionally, guardians living in urban areas showed no significant effect on knowledge scores (OR 0.828, 95%CI 0.481–1.427), which was same as those living in rural areas (OR 1.230, 95%CI 0.338–4.474). There was no significant difference between children in two groups in any level of paternal education (P>0.05) and also non-significant in any stratum of family yearly income (P>0.05). More details were shown in Table 3.

Table 3 Drug knowledge of guardian between left-behind children and non-left-behind children (N = 1451)

Guardian’s behaviors about the safety of medications used for child

The behaviors of guardians were analyzed by setting questions on what they have done with children’s medicines using. The mean behaviors scores were 15.77 (standard deviation = 3.604). The difference between the left-behind and non-left-behind children was not statistically significant (P = 0.675). A basic logistic regression model was used. No difference was found between the two groups (OR 0.739, 95%CI 0.455–1.199). Likewise, results of the full logistic regression model did not reveal any statistically significant difference (OR 0.781, 95%CI 0.480–1.271).

Subgroup analyses stratified by kid’s age, kid’s gender, main guardian’s age, main guardian’s gender, residential area, family yearly income and education level of the father/mother showed no statistically significant difference, which is consistent with the main results. More details were shown in Table 4.

Table 4 Drug behavior of guardian between left-behind children and non-left-behind children (N = 1451)

Guardian’s health-seeking behavior

We matched our questionnaires with the medical records of each child, and found a significant difference in the history of present illness (HPI) between LBC and NLBC (P < 0.001). The analysis of the logistic regression model (adjusted for kid’s age, kid’s gender, guardian’s gender, guardian’s age, residential area, history of present illness and past medical history) revealed a statistically significant difference in the guardian’s knowledge (OR 0.424, 95%CI 0.206–0.875) and behaviors scores (OR 0.238, 95%CI 0.128–0.443) (see Table 5).

Table 5 Drug knowledge/behavior of guardian between left-behind children and non-left-behind children (N = 1451)

Sensitive analysis

Similar results were observed in the sensitivity analysis where we calculated other logistic regression models with a level of knowledge/behaviors (low versus good knowledge/behaviors) using a cut-off point with the 1st quartile score or 3rd quartile score among guardians of NLBC. In addition, the liner regression models with the scores of knowledge/behaviors as dependent variable showed no significant difference across left-behind status (See Table 6).

Table 6 Sensitivity Analysis of Drug knowledge/behavior of guardian between left-behind children and non-left-behind children (N = 1451)

Discussion

To our knowledge, this is the first study to look into the impact of left-behind status on the guardian’s medication knowledge/behaviors of LBC. Our study found that there is no statistically significant difference in guardians’ knowledge/behaviors about the child medications between LBC and NLBC, and we also found their multiple help-seeking behavior can improve their medication knowledge and then related behaviors.

Previous studies have shown significant disparities in parenting approaches (e.g., being raised by grandparents, parents or just one parent). It is also revealed that despite of the fact that problematic physical and mental development does not appear in all LBC cases [20], they were definitely at a disadvantage to other children [21, 22]. Among these health-related behaviors, the medication use is quite essential for children in poor health. In different population group among the low- and middle-income countries, it is also vital as self-medication is essential for them to keep healthy while primary health care accessibility is extremely limited [23, 24]. According to our data, many LBC had a long medical history with multiple health seeking. Guardians gained medical knowledge from this procedure, including medication knowledge. After controlling the history of present illness and medical history, the LBC group had significantly lower knowledge and behavior scores than NLBC did, which are consistent with existing findings. It was demonstrated that frequent contact with doctors could be a useful invention for health education, improving medication knowledge/behavior and then health literacy.

This study focuses on medication use issue among the Chinese LBC, and its findings provide several implications for further research and practice. Given the importance of doctor-patient communication in the prevention and treatment, particularly among guardians of LBC when seeking help in primary care clinics, the effective communication with health staff should be taken very seriously. Firstly, Tools that can educate/grade doctor-patient communication should be developed to constantly evaluate and adjust health-related behaviors among guardians of LBC during clinic visits. Several key features that are important when discussing medications have been summarized and an assessment framework for doctor-patient communication has been established which could address and alleviate many healthcare delivery inefficiencies [25, 26]. Additionally, the government of China encourages medical staff from non-primary hospitals (higher-level hospitals) to provide Family Doctor Contract Service (FDCS) in community health service centers. Regular follow-up phone calls or in-person appointments from a family doctor can facilitate the contacts of guardians of LBC. Based on this information, health policy makers can apply the most appropriate approaches to help this vulnerable subgroup. Furthermore, this feasible procedure can also help reduce the health expenditures for the government.

There are some limitations for our study. Firstly, the present study is a cross-sectional study that can merely show the correlation instead of causality. Future studies may design to clarify this. Secondly, this study relied solely on a convenience sampling, meaning the generalization should be conduct meticulously. Thirdly, the Medicine Behaviors Scale’ Cronbach’s α value was 0.532, indicating that the scale’ reliability was a little bit poor and that it should be revised going forward.

Conclusion

The study reported the child medication use awareness and behavior of guardians in southwestern China. There is no statistically significant difference between LBC and NLBC of guardians’ medication use awareness and behavior in this study. It also illustrated that maintaining more frequent contact with doctors is an effective method of health education, which could unconsciously improve their knowledge/behavior about the child’s medication. These findings deliver an important public health message that the communication with health staff, no matter in which levels of care, is a helpful intervention to enhance their health literacy. This should be implemented to facilitate LBC related help behaviors and meanwhile reduce the burden of their diseases.

Availability of data and materials

According to the data confidentiality agreement of the corresponding author, the data is not disclosed, but is stored in the secured computer, which can be obtained by the corresponding author and used for scientific research purposes only.

References

  1. Menniti A, Misiti M, Savioli M. Italian Stay At Home Children: Attitudes and Constraints. Rome, Italy; 2000:1-23.

  2. Zhao KF, Su H, He L, Wu JL, Chen MC, Ye DQ. Self-concept and mental health status of “stay-at-home” children in rural China. Acta Paediatr Int J Paediatrics. 2009;98(9):1483–6.

    Article  Google Scholar 

  3. Parreñas RS. The care crisis in the Philippines: children and transnational families in the new global economy. Global Woman: Nannies, Maids and Sex Workers in the New Economy. 2004;39–54.

  4. Cebotari V, Siegel M, Mazzucato V. Migration and the education of children who stay behind in Moldova and Georgia. Int J Educ Dev. 2016;51:96–107.

    Article  Google Scholar 

  5. UNICEF WORKING PAPER: Children " Left Behind “. 2010;(1):1–10.

  6. Mimi L. China has 61 million left-behind children … that’s almost Britain’s total population. South China Morning Post. 2016.

  7. Tong L, Yan Q, Kawachi I. The factors associated with being left-behind children in China: Multilevel analysis with nationally representative data. PLoS One. 2019;14(11):1-18.

  8. Mao M, Zang L, Zhang H. The effects of parental absence on children development: evidence from left-behind children in China. Int J Environ Res Public Health. 2020;17:18.

    Article  Google Scholar 

  9. Xiao Y, Wang Y, Chang W, Chen Y, Yu Z, Risch HA. Factors associated with psychological resilience in left-behind children in southwest China. Asian J Psychiatr. 2019;46:1–5.

    Article  Google Scholar 

  10. Cheng J, Sun YH. Depression and anxiety among left-behind children in China: a systematic review. Child Care Health Dev. 2015;41(4):515–23.

    Article  CAS  Google Scholar 

  11. Xu H, Xie Y. The Causal Effects of Rural-to-Urban Migration on Children’s Well-being in China. Eur Sociol Rev. 2015;31(4):502–19.

    Article  Google Scholar 

  12. Han D. Policing and racialization of rural migrant workers in chinese cities. Ethn Racial Stud. 2010;33(4):593–610.

    Article  Google Scholar 

  13. Li Q, Liu G, Zang W. The health of left-behind children in rural China. China Econ Rev. 2015;36:367–76.

    Article  CAS  Google Scholar 

  14. ZH YZ, YX ZJPP, X WCYL. The situation of children neglect between left-behind children and living-with-parents children in rural areas of two western provinces of China. Zhonghua Yu Fang Yi Xue Za Zhi. 2012;46(1):38–41.

    Google Scholar 

  15. Gu C, Sun Y, Yang LS, Han TW, Wang TZ, Sun Y, et al. Study on the current status and influential factors of neglect of left-behind children in rural area of Anhui province. Zhonghua Liu Xing Bing Xue Za Zhi. 2011;32(12):1212–5.

  16. Gao Y, Li LP, Kim JH, Congdon N, Lau J, Griffiths S. The impact of parental migration on health status and health behaviours among left behind adolescent school children in China. BMC Public Health. 2010;10:56.

  17. Ren X, Liu D, Ding N, Huang K, Xiong Y, Du G, et al. Safety evaluation of cephalosporins based on utilization and adverse drug events: analysis of two databases in China. Expert Opin Drug Saf. 2012;11:689-97.

  18. Smyth RMD, Gargon E, Kirkham J, Cresswell L, Golder S, Smyth R, et al. Adverse drug reactions in children-A systematic review. PLoS One. 2012;7(3):no pagination.

  19. Graydon K, Waterworth C, Miller H, Gunasekera H. Global burden of hearing impairment and ear disease. J Laryngol Otol. 2019;133(1):18–25.

    Article  CAS  Google Scholar 

  20. Fellmeth G, Rose-Clarke K, Zhao C, Busert LK, Zheng Y, Massazza A, et al. Health impacts of parental migration on left-behind children and adolescents: a systematic review and meta-analysis. The Lancet. 2018;392(10164):2567–82.

    Article  Google Scholar 

  21. Sun X, Tian Y, Zhang Y, Xie X, Heath MA, Zhou Z. Psychological development and educational problems of left-behind children in rural China. Sch Psychol Int. 2015;36(3):227–52.

    Article  Google Scholar 

  22. T X-W, Z Y-R, G H-Y. Mental health among left-behind preschool-aged children: preliminary survey of its status and associated risk factors in rural China. J Int Med Res. 2014;42(1):120–9.

    Article  Google Scholar 

  23. Karimy M, Rezaee-Momtaz M, Tavousi M, Montazeri A, Araban M. Risk factors associated with self-medication among women in Iran. BMC Public Health. 2019;19(1):1033.

    Article  Google Scholar 

  24. Subashini N, Udayanga L. Demographic, socio-economic and other associated risk factors for self-medication behaviour among university students of Sri Lanka: a cross sectional study. BMC Public Health. 2020;20(1):613.

    Article  Google Scholar 

  25. Parker L, Ryan R, Young S, Hill S. Medications and doctor–patient communication.Aust J Gen Pract. 2021;50(10):no pagination.

  26. Belasen A, Belasen AT. Doctor-patient communication: a review and a rationale for using an assessment framework.J Health Organ Manag. 2018;32(7):no pagination.

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Acknowledgements

The National Natural Science Foundation of China (NSFC) generously funded this project (Project no. U20A20411). We would like to extend their sincere thanks to the National Natural Science Foundation of China for the funding of this research.

Funding

Supported by National Natural Science Foundation of China (< grant number U20A20411> [to < Z Liu>])

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Contributions

Qiaoyue Ge and Yao Zhou shared co-first authors, Zhenmi Liu (zhenmiliu@scu.edu.cn) and Lin Yunzhu (linyunzhu99@163.com) shared corresponding authorship. Qiaoyue Ge and Yao Zhou are the main researchers, who has done the major work of data analysis and collection respectively. Zeyuan Sun and Lu Zhang are two of the main members of the supporting team, supervised by Xia Jiang, which plays an active role from the design of the study to the final drafting. The team also consists of other co-authors, including Chunsong Yang, Yixin Guo, Ting Luo, Yuzhi Fu, Qunfen Xu, Yuan Chen, Wei Zhou, Qian Wu and Xianghong Lian. Together, the study was guided by Zhenmi Liu and Yunzhu Lin throughout the process. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Zhenmi Liu or Yunzhu Lin.

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The study has obtained ethical approval was from Sichuan University Medical Ethics Committee.

Written informed (signed) consent was obtained from all the participants (or their parent or legal guardian in the case of children under 16) for participation. All methods were carried out in accordance with relevant guidelines and regulations.

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Ge, Q., Zhou, Y., Sun, Z. et al. A cross-sectional study on knowledge and behavior regarding medication usage among guardians of left-behind children: evidence from China. BMC Public Health 23, 111 (2023). https://doi.org/10.1186/s12889-023-14989-1

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