- Research
- Published:
Barriers and facilitators of complications risk perception among rural patients with type 2 diabetes mellitus: a qualitative content analysis
樱花视频 volume听25, Article听number:听1110 (2025)
Abstract
Background
Diabetes and its complications have emerged as a significant health threat to rural residents. Accurately perceiving the risk of complications may play a crucial role in modifying health behaviors and preventing complications鈥 occurrence. We aimed to explore the barriers to and facilitators of risk perception of complications in rural patients with type 2 diabetes mellitus, and to provide new perspectives and ideas for the development of relevant interventions in the future.
Methods
This study adopted the qualitative content analysis method. Semi-structured interviews were conducted with 14 rural diabetic patients selected by purposive sampling from July to September 2023, and the interview data were systematically analyzed.
Results
Data analysis identified 9 sub-themes falling into the 2 macro-themes: (a) facilitators of complications risk perception (Increased disease knowledge, Low sense of disease control, Risk experiences, Negative mindset); (b) barriers to complications risk perception (Lack of awareness of diabetes or its complications, Information barriers, Optimistic bias, Overconfidence, Disease generalization).
Conclusions
This study explored the barriers and facilitators of complication risk perception among rural patients with type 2 diabetes mellitus, offering new insights into risk perception research, and aiding primary medical staff to develop targeted intervention measures to ensure that rural diabetes patients can accurately and objectively perceive risk.
Introduction
In recent years, type 2 diabetes mellitus, whose incidence in rural areas of China has been increasing year by year, has become a major chronic disease threatening the health of rural residents [1, 2]. Diabetes can cause a series of acute and chronic complications and is the primary cause of disability or death.
Good self-management is crucial for prevent future complications [3, 4]. The perception of risk plays a central role in motivating individuals to engage in self-care behaviors and seek appropriate medical interventions [5, 6]. Understanding the factors that hinder or promote the perception of risk regarding diabetes complications among rural residents with type 2 diabetes mellitus can provide valuable insights for healthcare providers and policymakers to improve diabetes care and outcomes in rural areas of China.
Background
Type 2 diabetes mellitus has been identified by the World Health Organization as one of the top four non-communicable diseases that require the closest public attention, and it is also among the fastest-growing global public health concerns [7]. The latest data released by the International Diabetes Federation (IDF) stated that on a global level, 537 million adults (20 to 79听years) live with diabetes, or, more succinctly, 1 in every ten persons is a diabetic. However, this number is expected to soar to 643 million by 2030 and touch an alarming 784 million by 2045 [8]. Currently, China has the highest number of diabetes patients in the world, with approximately 140 million people affected [8], of whom around 90% have type 2 diabetes mellitus [9]. A survey on the prevalence of diabetes among adults aged 18 and above in China revealed a staggering nationwide diabetes prevalence rate of 11.2% [10], The increase in rural areas far exceeds that in urban areas [9]. Rural residents generally have a relatively low level of health awareness, insufficient understanding of diabetes, and lack knowledge and awareness of diabetes prevention [11, 12]. Additionally, there are relatively fewer medical and health institutions in rural areas, along with shortages of medical equipment and professional medical staff. Some rural residents find it difficult to access regular physical examinations and blood glucose monitoring services, resulting in diabetes not being detected and diagnosed in a timely manner [13, 14]. Diabetes-related acute and chronic complications have become a major cause of disability and death worldwide. Hu et al. reported that 76.4% of diabetes patients in China had at least one kind of complication [15], which has proven to be the leading cause of death in those with diabetes [16]. In the ranking of causes of death in China in 2017, diabetes and its complications stroke, ischemic heart disease and chronic kidney disease ranked 14th, 1st, 2nd and 13th respectively [17]. Additionally, the mortality risk of rural patients with type 2 diabetes is much higher than that of urban patients [18].
Risk perception is individuals鈥 subjective judgments regarding the characteristics and severity of a particular risk [19]. In the realm of health, particularly in chronic disease management, risk perception plays a crucial role. Individuals鈥 perception of risk not only influences their behavioral choices and health decisions but also directly affects whether they seek medical services and how they manage and control potential risks [6]. The Health Belief Model (HBM) [20], Protection Motivation Theory (PMT) [21], and Health Action Process Approach (HAPA) [22] all emphasize the importance of risk perception in the process of behavior change. When patients can accurately perceive the susceptibility and severity of risks, they are likely to take appropriate preventive actions [20]. However, patients often have cognitive biases in perceiving disease risks. Nie Rong et al. [23]conducted a survey using a questionnaire on the perceived relative risk of diabetes, revealing that type 2 diabetics have low levels of risk perception in China, and their perceived disease risks do not align with actual risks. Aycock et al. [24]noted that overestimating disease risk can lead individuals into a state of chronic stress and fear of recurrence. Conversely, underestimating risk may cause individuals to overlook risks and impact their motivation and ability to respond. Therefore, understanding and promoting an individual鈥檚 accurate perception of risk is critical to developing effective health education and interventions.
To the best of our knowledge, previous studies have primarily focused on developing risk perception scales [25, 26], conducting current status surveys [23, 27], and identifying influencing factors [28, 29]. There are few qualitative studies exploring the risk perception of complications among rural patients with type 2 diabetes mellitus. Therefore, this study aimed to understand the barriers and facilitators of complication risk perception among Chinese patients with type 2 diabetes mellitus through qualitative research, to provide a foundation for future intervention development.
Methods
Design
Qualitative content analysis (QCA) is a method through which the researcher analyzes the content of a text through systematic coding steps and extracts categories or themes from it in order to describe or explain the phenomenon under study [30, 31]. This type of study focuses on in-depth understanding and interpretation of the meaning, connotation and context of the content, aiming to discover and understand the phenomena, processes, or perspectives, viewpoints, and worldviews of the people involved, and focuses more on qualitative analysis than quantitative statistics [32]. Therefore, this study chose a qualitative content analysis approach to gain a comprehensive understanding of the impediments and facilitators of perceived risk of complications among rural Chinese patients with type 2 diabetes mellitus. The report of this study follows the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist [33].
Participants
We used a purposive sampling method to select participants from rural areas within Yangcheng County, Jincheng City, Shanxi Province, between July 2023 and September 2023. The inclusion and exclusion criteria for these participants are shown in Table听1.
Data collection
The researchers received specialized training in qualitative research and possessed the professional skills necessary to conduct interviews. Based on the research objectives, expert opinions, and feedback from two pilot interviews, the final interview guide was developed (Table听2). This study employed a face-to-face, semi-structured interview approach, with interviews conducted in participants鈥 homes to ensure a familiar and relaxed environment where they could freely express their feelings and perspectives. Before the interviews began, all participants were informed of the study鈥檚 purpose and agreed to participate. During the interviews, the researchers observed participants鈥 non-verbal behaviors, such as tone of voice, facial expressions, and body language, while actively encouraging them to share their genuine opinions, thereby fostering a natural and comfortable conversational atmosphere. Each participant underwent a single interview lasting 30 to 40听min. Field notes were recorded during and after each interview. Interviews concluded when data saturation was reached, meaning no new themes emerged [34]. In total, 14 participants were included in this study.
Data analysis
Within 24听h of the interview鈥檚 conclusion, the researchers returned the interview transcripts to the participants by retelling them over the telephone and requested any feedback they might have to ensure the accuracy and credibility of the data. We used NVivo 12 to code and manage all interview data. This study adopted the qualitative content analysis method proposed by Elo and Kyng盲s (1) Immersion in the data: The process of becoming intimately familiar with the content being analyzed, through transcription, repeated reading, and/or several iterations of coding. (2) Unit of meaning: Several words, a sentence, or a statement that represents a single idea or concept. (3) Condensation: The process of shortening a unit of meaning while retaining the original meaning. (4) Code: A short (typically 1鈥墌鈥3 words) label that describes a unit of meaning/condensed unit of meaning. (5) Category: An organization of several codes that are related in either content or context. In the case of a large number of codes, sub-categories may serve as a useful intermediate grouping. (6) Theme: An organization of two or more categories that represent an underlying meaning. Themes describe behaviors, experiences, or emotions that occur throughout several categories [32].
Rigour, reflexivity and quality criteria
To ensure the rigor of this study, four criteria [35]were employed: credibility, transferability, dependability, and confirmability. All interviewees volunteered to participate in this study, and the interviewer established a trusting relationship with them before the interviews, enabling the participants to express their views and opinions truthfully. Two researchers analyzed the data, and differences in interpretations were solved by discussion, to enhance the reliability of data analysis. All audio recordings and textual data in the study were maintained so that they could be accessed if required later; the researchers themselves remained neutral throughout the study and reviewed their personal biases at any time. After completion of the data analysis, the textual data were returned to the respondents for verification to ensure the stability of the results.
Results
A total of 14 rural patients with type 2 diabetes mellitus were interviewed for this study. The characteristics of the participants are presented in Table听3. The key findings of this study are presented in terms of two themes: facilitators and barriers to risk perception of T2DM complications. Each theme has sub-themes that are complemented here by statements of the study participants (Table听4).
Facilitators of complications risk perception
Four facilitators were found to be associated with risk perception of complications in rural T2DM: Increased disease knowledge, Low sense of disease control, Risk experiences, and Negative mindset (Table听4).
Increased disease knowledge
An individual鈥檚 knowledge base influences their understanding and assessment of potential risks. Patients who have a more comprehensive understanding of diabetes are better able to recognize the severity of the disease and are more concerned and attentive to the development of the disease, and therefore have a higher level of perception of the risk of associated complications.
N04: 鈥淭hrough my reading and the health information provided by the hospital, I have learned that diabetes complications are diverse, including eye problems, diabetic foot, peripheral neuropathy, and more, with kidney involvement being the most severe. Additionally, there are up to 14 symptoms of diabetic hypoglycemia, such as dizziness, palpitations, shock.鈥
N05: 鈥淚 have also learned about diabetes-related complications, such as cardiovascular diseases and kidney disorders, through books and my phone. When I go to the hospital for follow-up visits, I actively ask the doctor relevant questions.鈥
N14: 鈥淒iabetes complications include numbness in the hands and feet, retinal hemorrhage, kidney disease, heart disease, high blood pressure, and many more.鈥
Low sense of disease control
The significant fluctuations in blood glucose levels leave patients feeling powerless in managing their diabetes, trapping them in a dilemma of self-management and thereby heightening their vigilance toward the potential threats posed by the disease. Some participants reported that, despite their rigorous self-management efforts, they still struggle to effectively regulate their blood glucose levels, thus perceiving themselves at higher risk of developing complications compared to other patients.
N03: 鈥淒uring my hospitalization, I ate the specialized diet for diabetes patients every day, but my blood sugar remained unstable, fluctuating between high and low levels. The risk is definitely higher than others鈥.鈥
N11: 鈥淭hey can鈥檛 even explain why my blood sugar is so high. Who knows what鈥檚 going on? I strictly follow the doctor鈥檚 instructions and avoid everything they told me not to eat, but my blood sugar is still so high. I don鈥檛 know how to control it anymore.鈥
N13: 鈥淚 strictly control my diet; I don鈥檛 eat noodles, only steamed buns. I avoid potatoes, sweet potatoes, and cellophane noodles. I also exercise a lot, walking two hours a day. Even with all this, my blood sugar is still high (sigh). How can the risk not be high?鈥.
Risk experiences
The experiences of risk may pose a threat to individuals and lead to negative emotional experiences, thereby further amplifying the perception of the risk of complications in patients.
N04: 鈥淭he first time I was diagnosed with diabetes, I experienced diabetic ketoacidosis; I vomited black fluid, and the village doctor suspected organ failure. It wasn鈥檛 until I underwent hospital tests that I learned it was diabetes. Once, I had surgery for a diabetic foot. After returning, I diligently changed the dressing every day, and I was able to save my foot. Additionally, both of my eyes have been operated on due to diabetic complications. They didn鈥檛 used to be this small, and now I can鈥檛 even open them fully.鈥
After learning about the risk experiences of others, respondents often have difficulty accepting the prospect of disability and more severe disease outcomes, leading to fears about the progression of their disease and the perception of a significantly increased risk of complications.
N04: 鈥淲hen I was previously hospitalized, I encountered a 61-year-old female patient. She had her foot amputated due to diabetes, making it resemble a branch. Once a person develops diabetic foot, amputation is necessary. Without it, there will be no improvement, much like a persistent infection.鈥
N14: 鈥淢y friend also has diabetes. He didn鈥檛 manage it well before, and now he has developed severe retinopathy. This disease can be very harmful.鈥
Negative mindset
With the continuous advancement of age and the persistent development of the disease, rural patients with type 2 diabetes are more likely to develop a pessimistic and negative mindset compared to the general population. This greatly weakens their enthusiasm for self-management, amplifies their imagination of disease deterioration, and significantly enhances their perception of the risks of complications.
N08: 鈥 I don鈥檛 think about it so much now, and I don鈥檛 take it (diabetes) seriously anymore. As long as I can still eat, work, and play mahjong, I鈥檓 satisfied. Anyway, once you get this disease, you're bound to have complications.鈥
N01: 鈥 Most of the time now, I think I can get through it. I鈥檓 not as careful as I used to be. After all, at my age, there must be some health problems, so I let my body build up its resistance on its own.鈥
Patients with a pessimistic fatalistic view regard the disease as part of the natural law and believe that 鈥 health problems are inevitable when one gets old.鈥 This concept makes them consider diabetes and its complications as an unavoidable 鈥 predestined fate鈥 rather than a disease that can be intervened. Their pessimistic expectations for the future strengthen their perception of the risks of diabetes complications psychologically, thus forming a perception that "although the risks have not occurred yet, they are destined to come.鈥
N01: 鈥 At my age, if I can live a few more days, that would be great; if not, it doesn鈥檛 matter.鈥
N13: 鈥 As people age, they will inevitably suffer from other illnesses. Frankly speaking, death can also be regarded as a form of relief.鈥
Barriers to complications risk perception
Five barriers to complications risk perception were found to impede the perceived risk of complications among rural patients with type 2 diabetes mellitus: Lack of awareness of diabetes or its complications, Information barriers, Optimistic bias, Overconfidence, and Disease generalization (Table听4).
Lack of awareness of diabetes or its complications
Risk identification is the process of assessing and evaluating potential or existing risk factors and their impact on personal health. However, in the study, most participants showed a severe lack of awareness regarding complications, and even lacked the motivation to understand the disease, thereby unable to correctly recognize potential symptoms of the illness. This ultimately affected their level of risk perception.
N08: 鈥淚 don鈥檛 know about the complications of diabetes; I only know that someone in the village went blind because of diabetes.鈥
N12: 鈥淚 don鈥檛 have much understanding of the complications of diabetes because I don鈥檛 have much personal experience with it myself.鈥
N01: 鈥淚 am not very clear about the complications of diabetes, nor have I thought about researching them. But I should not have much risk. I鈥檝e been experiencing mild pain in my legs and ankles (areas with thin skin and many blood vessels). Scratching them provides temporary relief, but the symptoms reappear after a while, and I have no idea what could be causing this.鈥
N07: 鈥淪ometimes my vision blurs a bit when looking at things, but the symptoms aren't pronounced and usually clear up shortly. At times, I also feel dizzy and overall lethargic, which I attribute to fatigue from working.鈥
Information barriers
The participants primarily gained their understanding of the disease from the experiences of other patients, health education provided by healthcare professionals, and television platforms. However, due to factors such as age and educational level, patients encounter obstacles in accessing content.
N03: 鈥淚 have received the documents from the hospital doctor, but I have not read them. Primarily because I am illiterate and additionally, being elderly, I tend to forget things as soon as they are told to me.鈥
N11: 鈥淢y memory is impaired, and I do not engage in much reading at home. I experience discomfort in my eyes and have difficulty seeing clearly.鈥
In addition, it is difficult for diabetic patients in rural areas to accurately distinguish the authenticity of information, and they are prone to being misled by false information from relatives, friends, and the Internet, which further weakens their awareness of the potential risks of complications.
N02: 鈥淢y sister said, at this age, it鈥檚 inevitable to have high blood sugar. Don鈥檛 worry too much, there鈥檚 nothing scary about it. If your blood sugar is high, just take more medication, as long as it can bring it down.鈥
Optimistic bias
The participants鈥 evaluation of their condition relies on self-assessment, resulting in an underestimation of the risk of complications or an overly optimistic perspective. Some patients report having no obvious symptoms and believe that the disease does not pose a threat to their lives.
N01: 鈥淩ecently, I鈥檝e been managing quite well. A couple of days ago, I checked my fasting blood sugar, and it was 6.1. All along, my symptoms of polydipsia, polyphagia, polyuria, and weight loss have not been obvious; moreover, I feel like I don鈥檛 have any of the diabetes complications that I have read about in books and seen on TV.鈥
N09: 鈥淚 used to be in excellent health, and I have been living with diabetes for a few years now without experiencing any noticeable symptoms.鈥
The participants often evaluated their disease status and assessed their risk of complications by comparing themselves to others.
N02: 鈥淐ompared to others in the village, my risk of developing diabetic complications should be low because my blood glucose has consistently remained stable. Some people in the village take insulin and disregard dietary management, while others often feel weak. I鈥檓 much better off than them.鈥
Overconfidence
Overconfidence may cause patients to overestimate their ability to manage the disease. They think they can effectively control diabetes, thus reducing their alertness to possible complications. On the other hand, it may lead patients to underestimate the complexity of diabetes and its complications, simply simplifying disease management into a linear model of 鈥渇ollowing medical advice鈥+鈥塻elf-discipline鈥.
N12: 鈥淚 don鈥檛 believe there will be any complications beyond those that have already occurred. Because I pay special attention to my health, I am confident that I can manage it very well. I firmly believe it won鈥檛 reach a particularly severe stage.鈥
N08: 鈥淢y risk of developing complications should be low because I have a lot of self-discipline. I follow my doctor鈥檚 dietary recommendations almost every day and exercise regularly. In conclusion, I am still very confident about this illness.鈥
Disease generalization
In 2021, approximately 140 million people in China were diagnosed with diabetes. With the continued increase in prevalence, it is estimated that the number of diabetics in China will reach as high as 174 million by 2045. The continuous rise in prevalence has made diabetes a commonplace health issue.
N01: 鈥淣owadays, this disease is incredibly common. Perhaps 3 or 4 out of every 10 people have diabetes. Sometimes when we talk about it, we realize that almost everyone in our age group has this condition.鈥
In recent years, the age of onset of type 2 diabetes mellitus has been decreasing among patients, accompanied by a rapid rise in the incidence of early-onset T2DM [36]. Furthermore, there is a trend towards younger ages at the onset of T2DM within rural populations [37]. Consequently, patients may diminish their concerns regarding the disease, resulting in a weakened sense of risk perception.
N05: 鈥淣owadays, diabetes is becoming more common among younger people. I鈥檝e seen many diabetes patients in their 30听s and 40听s at the hospital.鈥
As a chronic non-communicable disease, diabetes poses a relatively lower threat to individuals鈥 lives and quality of life compared to acute illnesses.
Discussion
The study of risk perception is a complex and dynamic system involving multiple influencing factors. Through content analysis, this study identified the facilitators and barriers affecting rural type 2 diabetes mellitus patients鈥 risk perception of complications. Facilitators of complications risk perception include increased disease knowledge, low sense of disease control, risk experiences, and negative mindset; barriers to complications risk perception include Lack of awareness of diabetes or its complications, Information barriers, optimistic bias, Overconfidence, and Disease generalization.
Our study found that patients with a deeper understanding of the disease have a heightened awareness of the risks of complications. A study by Ochieng et al. [38] showed that patients with a higher level of disease knowledge also perceive higher risks. This may be because such patients are more capable of recognizing the seriousness of diabetes and its complications, paying more attention to their own health status, and thereby increasing their perception of complications risk. Our study found that frequent blood glucose fluctuations can reduce patients鈥 perception of the benefits of disease management, leading to a sense of weariness and reluctance to adhere to their own management plans. This suggests that medical staff should enhance education regarding the benefits of disease management, fully mobilize patients鈥 initiative, and develop targeted intervention measures based on individual circumstances to improve their self-efficacy levels [39]. During the interviews, it was also found that some patients experienced emotions such as sadness and fear due to the impact of risk experiences, while some patients were completely indifferent to their illness, adopting a fatalistic attitude towards it. The various negative emotions mentioned above have somewhat magnified patients鈥 perception of the risk of complications. A study showed that the perception of illness strongly and directly impacts anxiety and depression [40]. Masmoudi et al. [41] also found that the negative emotions and burdens associated with diabetes are significantly linked to the perception of the disease. This suggests that medical staff should pay attention to patients鈥 self-experiences and feelings during health education, communicate patiently with them to fully understand their true inner thoughts, provide timely psychological guidance, and help them face the disease positively.
In this study, most rural diabetic patients have a low level of education (only three patients in this study had a high school education). Their lack of awareness and understanding of the disease hinders their perception of the risks of complications. They are unable to detect early potential symptoms and intervene in time, leading to complications that have already progressed to a very serious degree by the time of diagnosis. This was confirmed in a China study [42]. Furthermore, traditional health education mainly relies on text-based, didactic formats that are highly professional, low in engagement, and more obscure and difficult to understand. This also creates certain difficulties for rural patients in accessing knowledge. On the other hand, patients face barriers in discerning health information, and the presence of misinformation and insufficient professional information support has a detrimental impact on patients. With the development of urbanization, the trend of aging population in rural areas is intensifying. This suggests that medical staff should distinguish the population according to age, education level, and other ways to further expand the diversified health education methods tailored to patient needs and preferences. According to the characteristics of the elderly population, it is more effective to use visual education methods, such as participating in live demonstrations and interactions, viewing model displays, and engaging in scenario simulations [9]. This approach places greater emphasis on patient involvement, helping them deepen their understanding of diabetes knowledge through enjoyable learning experiences.
Our study found that patients with type 2 diabetes mellitus in rural areas tend to have overly optimistic estimations of their disease status, and are blindly confident in disease management, and have lower perceptions of susceptibility and severity, especially among those with shorter disease duration and no complications yet. This has resulted in their weakened risk awareness regarding complications, fostering a sense of luck and even direct disregard for these risks, significantly impacting their self-management of the disease. This suggests that medical staff should guide patients to develop accurate disease risk awareness, strengthen the promotion of risk factors, and enhance their perception of disease risks. The Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) indicates that early screening can significantly enhance the prevention and management of diabetes and its related complications. Clinical research has also found that strict control of blood glucose in the early stages of diabetes can significantly reduce the risk of diabetic microvascular disease, heart attacks, and mortality [43, 44]. Consequently, village clinics, as the primary healthcare institutions accessible to rural patients, should strengthen regular and standardized screening, and evaluate diabetes-related complications, so that rural patients can accurately understand their own status, pay attention to disease management, and strengthen the prevention of complications [45]. In addition, relevant government agencies need to enhance coordination among different levels of healthcare institutions to address various challenges faced by primary healthcare facilities, including staff and equipment shortages. By doing so, they can improve the quality of primary healthcare services and facilitate the sharing of medical resources [46].
Limitations
This study has certain limitations. Firstly, due to geographical limitations, the sample size and representativeness of this study are limited. The interview subjects are predominantly older and mostly female patients, which may introduce certain selection biases. Subsequent research can be conducted by expanding the sample size and improving sample representativeness to further investigate the topic. Secondly, risk perception is a dynamic variable that can change with environmental and personal factors, suggesting that future long-term longitudinal studies could explore the dynamic changes in risk perception levels among diabetes patients. Thirdly, in the future, large-sample quantitative studies could be conducted to explore the influencing factors of different subgroups with varying levels of risk perception.
Conclusions
The medical staff should improve disease knowledge of rural patients with type 2 diabetes mellitus, strengthen their risk awareness, enable them to cope with the disease actively, and accurately perceive disease risks, thereby reducing and delaying the occurrence of complications.
Data availability
The datasets generated and analyzed during this study are not publicly available for the protection of participants鈥 privacy. Researchers who meet the criteria may obtain the data by applying to the corresponding author.
References
Hui L, Jun C, Jing G. Diabetes morbidity and mortality of residents in Ningbo, 2010鈥2014. Chin Rural Health Serv Admin. 2016;36(10):1304鈥07.
Xiao-qing J, Jin-yi Z, Ren-giang H, Ming W, Yan X. Study on the disease burden and indirect economic burden caused bydiabetes mellitus in residents of Jiangsu province, China.听Chin Evid-Based Nurs. 2014;22(01):5鈥8.
Houle J, Beaulieu MD, Chiasson JL, Lesp茅rance F, C么t茅 J, Strychar I, Bherer L, Meunier S, Lambert J. Glycaemic control and self-management behaviours in type 2 diabetes: results from a 1-year longitudinal cohort study. Diabet Med. 2015;32(9):1247鈥54.
Niknami M, Mirbalouchzehi A, Zareban I, Kalkalinia E, Rikhtgarha G, Hosseinzadeh H. Association of health literacy with type 2 diabetes mellitus self-management and clinical outcomes within the primary care setting of Iran. Aust J Prim Health. 2018;24(2):162鈥70.
Zhi-liang Y, Li-Ping G. Advances in the study of cognitive styles. J Psychol Sci. 2001;03:326鈥9.
Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136鈥45.
Organization WH. General meeting of the WHO global coordination mechanism on the prevention and control of noncommunicable diseases: meeting report: International Conference Centre, Geneva, Switzerland, 5鈥6 November 2018. 2019.
Magliano DJ, Boyko EJ, committee IDFDAtes. IDF diabetes atlas. In: Idf diabetes atlas. edn. Brussels: International Diabetes Federation漏 International Diabetes Federation, 2021; 2021.
Chinese Diabetes Society:听Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition).听Chin J Endocrinol Metabol. 2021;13(4):315鈥409.
Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H, Shi B, Sun H, Ba J, Chen B, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ. 2020;369:m997.
Zhang ZC, Du QH, Jia HH, Li YM, Liu YQ, Li SB. A qualitative study on inner experience of self-management behavior among elderly patients with type 2 diabetes in rural areas. 樱花视频. 2024;24(1):1456.
Jia HH, Liu L, Huo GX, Wang RQ, Zhou YQ, Yang LY. A qualitative study of the cognitive behavioral intention of patients with diabetes in rural China who have experienced delayed diagnosis and treatment. 樱花视频. 2020;20(1):478.
Miao Y, Ye T, Qian D, Li J, Zhang L. Utilization of rural primary care physicians鈥 visit services for diabetes management of public health in Southwestern China: a cross-sectional study from patients鈥 view. Iran J Public Health. 2014;43(6):769鈥77.
Ma X, Fan W, Zhang X, Zhang S, Feng X, Song S, Wang H. The urban-rural disparities and factors associated with the utilization of public health services among diabetes patients in China. 樱花视频. 2023;23(1):2290.
Hu H, Sawhney M, Shi L, Duan S, Yu Y, Wu Z, Qiu G, Dong H. A systematic review of the direct economic burden of type 2 diabetes in china. Diabetes Ther. 2015;6(1):7鈥16.
An Y, Zhang P, Wang J, Gong Q, Gregg EW, Yang W, Li H, Zhang B, Shuai Y, Chen Y, et al. Cardiovascular and all-cause mortality over a 23-year period among Chinese with newly diagnosed diabetes in the Da Qing IGT and diabetes study. Diabetes Care. 2015;38(7):1365鈥71.
Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, Li X, Wang L, Wang L, Liu Y, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990鈥2017: a systematic analysis for the global burden of disease study 2017. Lancet (London, England). 2019;394(10204):1145鈥58.
Bragg F, Holmes MV, Iona A, Guo Y, Du H, Chen Y, Bian Z, Yang L, Herrington W, Bennett D, et al. Association between diabetes and cause-specific mortality in rural and urban areas of China. JAMA. 2017;317(3):280鈥9.
Slovic P. Perception of risk. Science (New York, NY). 1987;236(4799):280鈥5.
Janz NK, Becker MH. The health belief model: a decade later. Health Educ Q. 1984;11(1):1鈥47.
Rogers RW. A protection motivation theory of fear appeals and attitude change1. J Psychol. 1975;91(1):93鈥114.
Yu W, Xiuqin L, Qingqiu Y. Reaserch progress on health action process approach in clinical nursing. Chin Evid-Based Nurs. 2021;7(17):2314鈥6.
Rong N, Jiagi X, Hongling Z, Jing M. Analysis of risk perception and influencing factors among patients with type 2diabetes. J Nurs Sci. 2016;31(07):23鈥5.
Aycock DM, Clark PC, Araya S. Measurement and outcomes of the perceived risk of stroke: a review. West J Nurs Res. 2019;41(1):134鈥54.
Vieira KM, Potrich ACG, Bressan AA, Klein LL, Pereira BAD, Pinto NGM. A pandemic risk perception scale. Risk analysis鈥: an official publication of the Society for Risk Analysis. 2022;42(1):69鈥84.
Xia C, Binfang Y, Yanhui L, Zi C, Jiansong Z. Development of the perception of risk of chronic kidney disease scale for type 2 diabetic patients and the test of its reliability and validity. Chin J Nurs. 2022;57(15):1818鈥25.
Solares NP, Calero P, Connelly CD. Patient perception of fall risk and fall risk screening scores. J Nurs Care Qual. 2023;38(2):100鈥6.
Top莽u S, Ardahan M. Risk perception of cardiovascular disease among Turkish adults: a cross-sectional study. Primary health care research & development. 2023;24:e23.
Ren H, Guo YF, Zhang ZX, Lin BL, Mei YX, Wang WN, Luan WY, Zhang XY, Liang LL, Xue LH. Perception of recurrent risk versus objective measured risk of ischemic stroke in first-ever stroke patients from a rural area in China: a cross-sectional study. Patient Educ Couns. 2023;107:107586.
Lindgren BM, Lundman B, Graneheim UH. Abstraction and interpretation during the qualitative content analysis process. Int J Nurs Stud. 2020;108:103632.
Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277鈥88.
Elo S, Kyng盲s H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107鈥15.
Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International journal for quality in health care鈥: journal of the International Society for Quality in Health Care. 2007;19(6):349鈥57.
Jackson M, Harrison P, Swinburn B, Lawrence M. Using a qualitative vignette to explore a complex public health issue. Qual Health Res. 2015;25(10):1395鈥409.
Graneheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004;24(2):105鈥12.
Lascar N, Brown J, Pattison H, Barnett AH, Bailey CJ, Bellary S. Type 2 diabetes in adolescents and young adults. Lancet Diabetes Endocrinol. 2018;6(1):69鈥80.
Fangfang X, Xiping Z, Zifeng Y, Xiuju S, Qian L, Han L, Zhihui W. Analysis of clinical characteristics and related risk factors of newly diagnosed hospitalized patients with type 2 diabetes mellitus in rural areas. Clin Res Pract. 2024;9(15):38鈥41.
Ochieng JM, Crist JD. 鈥淚 put diabetes on the shelf鈥: African-American women鈥檚 perceptions of risk for diabetes complications. Clin Nurs Res. 2021;30(7):1012鈥22.
Yaoxia L, Qiaohong Y, Weiyu Q, Hongyu Y, Xianzhen H, Qiqi K. Disease coping styles in young and middle-aged patients with first acutemyocardial infarction: a qualitative study.听Chin Gen Pract. 2022;25(24):2992鈥97+3012.
Yifan G, Yao C, Qiqun T, Jie C, Chaozheng L, Huiju H, Qian W, Jiao Y. Correlation on the risk perception level of complications and negativeemotions among the elderly with diabetes in nursing homes. Chin Gen Pract听Nurs. 2023;21(21):2891鈥3.
Masmoudi R, Hadj Kacem F, Bouattour M, Guermazi F, Sellami R, Feki I, Mnif M, Masmoudi J, Baati I, Abid M. Diabetes distress and illness perceptions in Tunisian type 2 diabetes patients. Diabetes, metabolic syndrome and obesity鈥: targets and therapy. 2023;16:3547鈥56.
Chen T, Jin L, Zhu W, Wang C, Zhang G, Wang X, Wang J, Yang K, Cochrane GM, Lamoureux EL, et al. Knowledge, attitudes and eye health-seeking behaviours in a population-based sample of people with diabetes in rural China. Br J Ophthalmol. 2021;105(6):806鈥11.
Liakishev AA. [Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. Results of the DCCT/EDIC study]. Kardiologiia. 2006;46(3):73.
Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359(15):1577鈥89.
Society cd, Care NofPD. National guidelines for the prevention and control of diabetes in primary care (2022). 2022;61(3):249鈥262.
Hong D, Ji-chun Z, Da-ya Z. Analysis on the current status, problems and countermeasures of medicaservice capabilities in the Chinese village clinics.听Chin J Health Policy. 2018;11(7):67鈥72.
Acknowledgements
The authors thank ZJL for their help in the recruitment of participants. Finally, we thank the participants for sharing their perceptions about diabetes complications.
Funding
This research was partially supported by the Humanities and Social Science Foundation of the Ministry of Education of China (22YJAZH035) and the Graduate Research & Practical Innovation Project of Harbin Medical University (YJSCX2023-293HYD).
Author information
Authors and Affiliations
Contributions
ZZC and WXW conceived the study, analyzed the manuscript, collected the data, and were major contributors in writing the manuscript. LSB, LYQ and LYM prepared figures and/or tables, reviewed drafts of the paper. JHH conceived the study, audited the initial analyses and interpretation, authored or reviewed drafts of the paper. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Ethical approval was obtained from the Ethics Committee of Harbin Medical University (HMUDQ20231116101), and it conformed to the ethical guidelines of the Helsinki Declaration. All participants completed the written informed consent before participating in the study.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Publisher鈥檚 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-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article鈥檚 Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article鈥檚 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 .
About this article
Cite this article
Zhang, Zc., Wang, Xw., Li, Sb. et al. Barriers and facilitators of complications risk perception among rural patients with type 2 diabetes mellitus: a qualitative content analysis. 樱花视频 25, 1110 (2025). https://doi.org/10.1186/s12889-025-22299-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12889-025-22299-x