Doctor-patient Interaction Research Articles

The Effect of Personality Traits on Patient Compliance With Clear Aligners.

Patient compliance is crucial for achieving optimal outcomes in clear aligner (CA) therapy. Compliance may be influenced by various factors, including demographics, level of education, doctor-patient interaction, and personality traits based on the Big Five Inventory (BFI), which assesses openness, conscientiousness, extraversion, agreeableness, and neuroticism. This study investigates the relationship between personality traits and compliance among CA patients. A cross-sectional study was conducted with 67 participants aged 12-60 undergoing CA treatment in Jeddah, Saudi Arabia. Patients completed an online questionnaire that assessed compliance behavior and personality traits using the BFI-10 tool. Data were statistically analyzed using SPSS software, version 26 (IBM Corp., Armonk, NY), to examine correlations between personality traits, demographic factors, and adherence to CA therapy. Compliance was scored based on adherence to follow-up visits and aligner wear time. The study revealed that 34 participants (50.75%) demonstrated high adherence to the prescribed regimen. Males showed significantly higher compliance than females (p ≤ 0.05). Participants aged 12-34 exhibited the highest adherence rates (p ≤ 0.05), and those undergoing treatment for one year or less were also more compliant (p ≤ 0.05). Notably, satisfaction with one's smile did not significantly correlate with adherence (p > 0.05), contradicting the assumption that dissatisfaction with appearance drives better compliance. Furthermore, no significant association was identified between personality traits across any BFI domain and adherence. Despite the hypothesis that personality traits influence patient compliance, this study did not find a significant correlation. These findings suggest that factors other than personality traits may be more critical to adhering to CA treatment. The results highlight the need for further research to explore additional variables that may impact patient compliance in orthodontic therapy.

AWARENESS, PERCEPTION AND ATTITUDE ON THE FUTURE OF HEALTHCARE AMONG STUDENTS OF HEALTHCARE PROFESSION – A MIXED METHOD APPROACH

Clinical interactions mostly consist of health care providers' knowledge, attitudes, and behavior around health and illness. A patient's lifestyle, symptom presentation, access to care, doctor-patient interactions, follow-through on medical advice and reaction to therapy are all influenced by these factors.1This study was conducted using concurrent triangulation mixed method design to gather qualitative and quantitative data concurrently in order to obtain the awareness, perspectives and attitude of students of health profession regarding key trends in the future of healthcare among students of health profession at selected institutions. 880 students were selected using purposive sampling technique. Data was collected from the students who had participated in the Kalaignar Centenary International Medical Conference -Future of Medicine organized by Department of Health & Family Welfare, Government of Tamilnadu & The Tamilnadu Dr. MGR Medical University, Chennai. After obtaining consent data was collected using pretested, predetermined and validated tools which were found to be reliable. Data was coded and analyzed using appropriate descriptive and Inferential Statistics through SPSS- 20. The study findings reveal that, overall majority of participants (71.2%) had average level of awareness on trends in the future of healthcare. Among the different health care professions medicine (83.39%), dentistry (83.8%), nursing (60.5%), pharmacy (81.5%), physiotherapy (71.4%) and allied health sciences (58.9%). Regarding attitude overall majority of participants (67.7%) had positive attitude. In the areas of medicine (29.6%), (100%) in physiotherapy and nursing, (36.1%) pharmacy in allied health sciences (94.1%) had positive attitude. The percentage of the total mean scores of awareness was 54% with mean value of 5.40 +1.54. attitude score was 91 %with mean value of 54.60 +10.02. Significant correlation was found between awareness and attitude scores of students of health profession on future healthcare trends at p<0. 001. Awareness of future trends in healthcare will encourage students to engage in research and education initiatives that address emerging challenges and opportunities. Overall, fostering awareness, perception, and positive attitudes towards the future of healthcare among students of healthcare professions is essential for driving innovation, improving patient outcomes, and addressing the complex challenges facing healthcare sector..

Wearable Aptasensors.

This Perspective explores the revolutionary advances in wearable aptasensor (WA) technology, which combines wearable devices and aptamer-based detection systems for personalized, real-time health monitoring. The devices leverage the specificity and sensitivity of aptamers to target specific molecules, offering broad applications from continuous glucose tracking to early diagnosis of diseases. The integration of data analytics and artificial intelligence (AI) allows early risk prediction and guides preventive health measures. While challenges in miniaturization, power efficiency, and data security persist, these devices hold significant potential to democratize healthcare and reshape patient-doctor interactions.

Agenda Setting in Outpatient Consultation of Older Adults With Long-COVID.

Agenda setting in doctor-patient interaction refers to the process when various agendas are presented and responded to. This study revealed how Long-COVID (LC) agenda items are managed by older adults and doctors during outpatient consultations. Based on audio recordings, we adopted Conversation Analysis (CA) to unveil under what circumstances the patient or the doctor set the agenda and how they collaboratively work to develop an LC topic. Data was transcribed in accordance with the transcription conventions developed by Jefferson. Agendas were divided into three categories, namely primary, additional, and unmet agenda items. LC agendas were identified with specific characteristics based on qualitative analysis and older adults tended to seek more medical assistance, particularly concerning their chronic diseases. We observed that patients initiate agendas more often than doctors and it could happen at any stage of the visit, both parties can resist expanding the agenda, mostly in an indirect way, and agendas that contain more information with simpler turn-constructions are more likely to be well-addressed. Better quality of consultation was found when doctors sensitively detect the emotional change and the potential issues of the patients when they prevaricate to avoid the relevance of the previous infection. The findings also suggested that understanding the dynamics of agenda setting in consultations could lead to improvements in medical visit outcomes. Patients and doctors in the study were colleagues in a university hospital. They were involved in various stages of this study to ensure it addresses real-world concerns and improves healthcare outcomes. Throughout data collection, patients contributed by allowing their consultations to be recorded and providing feedback on their experiences. Findings were discussed with a patient advisory group to ensure the interpretations aligned with patient perspectives. Doctors were also actively engaged in disseminating the results through later consultations, ensuring broad accessibility and practical application of the research outcomes.

What information do patients pay more attention to in online physician selection? Information needs model for online medical choice decision-making based on trust theory and fuzzy decision

BackgroundThe development of information technology has reshaped the information flow process in traditional medical activities, giving rise to eHealth. In the context of Internet medical treatment, the massive and heterogeneous information available complicates and challenges patients’ online medical choices. Understanding which indicators on Internet medical platforms should be prioritized by ordinary patients is crucial for effective online medical decision-making. ObjectiveTo address these challenges, this paper introduces an information needs model for online physician selection tailored to experts with different medical preferences. This model aims to provide the methodological support for constructing user profiles on eHealth platforms and for medical service providers. In addition, this study seeks to introduce the strategies used by experts in online physician selection to provide clear guidance and suggestions for ordinary patients making online medical choices. MethodThis paper uses the “Hao Daifu” eHealth platform as the research setting, and selects experts based on their eHealth literacy and online physician selection experience. It describes individual’s preferences in online physician selection using interpersonal trust theory. Furthermore, the paper examines the eHealth platform indicators that experts focus on during the online physician selection process. The importance of these indicators is evaluated using the interval-valued intuitionistic fuzzy sets decision-making method. ConclusionThis study presents a method for investigating the comprehensive information needs of patients’ online physician selection. The findings reveal that different patients prioritize different trust dimensions in the physician selection process. Patients mainly rely on hospital qualification indicators – such as grade, ownership, and type – when selecting hospitals. For evaluating doctors, they focus on doctor qualification indicators, represented by professional titles and doctor-patient interaction indicators, represented by efficacy satisfaction.

Revisiting the need for intellectual and moral virtues in making ethical decisions in Healthcare.

Patient-physician interaction is an essential factor influencing the patient's health management decisions. This communication allows the patients to develop trust in the treating physicians and facilitates them in deciding what's best for themselves. The physicians, on the other hand, may interact with the patients based on three moral philosophies i.e. as a part of their duty (deontology), as a part of anticipating consequences (consequentialism) and as a part of being a virtuous doctor (virtue ethics). In this communication, we aim to debate the need and utility of having moral virtues for ethical decision-making. We will also evaluate the role of intellectual virtues in patient-doctor interaction for decisions taken on clinical grounds.

Specialty choices among new generation of doctors - insights from a Polish survey study

The choice of medical specialty for future doctors is a multidimensional issue, associated with many factors. This study aimed to explore the factors influencing the specialty choices of doctors entering the Polish healthcare system. A nationwide cross-sectional survey was conducted from May until August 2023. The data was gathered via an online nationwide survey among recent medical school graduates. We explored respondents’ preferences regarding medical specialties (in two categories: surgical and non-surgical), and the factors that drive their choices. The U-Mann Whitney test was used to compare the distribution of 19 analysed factors, and the chi-squared test was used if a trend was not observed. 737 responses were collected, and 698 were included in the study. The respondents (60.5% female) preferred non-surgical specialties over surgical ones. The main factors influencing doctors’ choices were remuneration, the ability to maintain work-life balance, interest in the medical field, the ability to start a private practice, skills possessed, and doctor-patient interactions. Doctors pursuing a career in surgical fields are driven by slightly different factors than those who chose a non-surgical specialty. The youngest generation values a healthy work-life balance, and their non-professional life remains crucial.

Uncovering Linguistic Strategies in Kuwaiti Doctor’s Patient-Directed Communication

The current study explores linguistic strategies used by Kuwaiti Doctors in their interactions with patients. By examining the language used in standard doctor-patient interactions, it provides preliminary insights into the communication practices of Kuwaiti healthcare professionals. Due to practical and ethical considerations, twenty-six family doctors participated in a Discourse Completion Task featuring six different scenarios to identify preferred linguistic strategies. The findings reveal a tendency towards indirect requests and questions indicating obligation or possibility when advising patients. Doctors frequently offered help using inclusive first-person plural 'we' inflections, especially with apprehensive patients. In supportive contexts, multiple communicative functions were often utilized simultaneously. These insights are valuable for linguists and healthcare providers, contributing to cross-cultural and inter-language communication research. The findings also inform subsequent investigations into patient preferences, enriching the understanding of effective communication in healthcare settings in Kuwait.

Prenatal care in urban China: Qualitative study on challenges and coping mechanisms

This study aims to identify challenges that women face in accessing prenatal care services in urban China and their coping mechanisms to deal with the challenges. We conducted semi-structured interviews in June and July in 2019 with 38 women who had experience of childbirth within the last five years. Through interviews, this study pays particular attention to a quality of prenatal care services by focusing on women's experiences in seeking for such services. The findings suggest that most participants had access to standardized prenatal care services but faced two challenges: long wait time and short doctor-patient interaction time. These challenges stem from overcrowded hospitals. The findings also illuminate power and information asymmetry between doctors and patients. Women leverage social networks with friends, colleagues, and former classmates to fill in the gap of short doctor-patient interaction by obtaining relevant information about pregnancy and prenatal care services. The analyses of interviews and a social networking site also suggest that online social networks play a similar role to fill in the informational gap. Still, social networks remain a coping mechanism rather than a fundamental solution to the systemic issues within the public health system.

Применение графов знаний для клинического мониторинга процесса лечения

Patient condition monitoring is essential at every stage of the treatment and diagnostic process. During treatment, the key tasks of monitoring include evaluating the effectiveness of treatment strategies and ensuring safety, specifically by avoiding complications and adverse effects from medications, procedures, or their combinations. To enhance doctor-patient interactions and improve treatment quality, intelligent monitoring tools are needed. These tools must use patient data and formalized knowledge of the subject area to identify which observations, at specific times, can indicate any deviation of the patient's condition from expected outcomes.This study aims to develop an ontology that formalizes the knowledge necessary for selecting and explaining monitoring parameters throughout treatment. Key concept rela-tionships that address the challenges of monitoring patient conditions during treatment are identified, leading to an on-tological graph for a specific class of medical monitoring issues. The study describes a method for building knowledge graphs applicable to various diseases and a reasoning process to identify unexpected conditions. A process of reasoning and the resulting recommendation is presented. This approach establishes a foundation for a decision support system tailored to this class of problems, where monitoring parameters can be adapted according to treatment stage, patient condition, and individual characteristics.

Values in the doctor-patient interaction: understanding and cooperation

Introduction. Cooperation between a medical professional and a patient is the main value in the work of a medical institution rganization and the key to improving the quality of specialists. The purpose of the study. Development and testing of the “secret patient” method, which allows assessing the quality of medical care in accordance with the Moscow clinics’ values from the patient’s point of view; identifying factors influencing patients’ opinions regarding the quality of medical care. Materials and methods. The study was conducted in 2024 at two medical centers in Moscow. The following methods are: focus group, content analysis, “secret patient”, participant observation. Results. The assessment tools include the possibility and convenience of making an appointment with a doctor on the website of a medical institution; features of communication with medical workers; characteristics of the medical institution; information about the medical institution and communications in the medical institution; additional information. All medical care’ elements correlate with the values: patient-centeredness, friendliness, teamwork, trust and mutual respect. Research limitations. The study is limited by the absence of disease in the investigators conducting the participant observation. Conclusion. The developed methodology for receiving feedback from the head of a medical organization from patients corresponds to the core values of Moscow clinics and can be taken into the operational activities of medical organizations. Doctors provide consultations in accordance with the clinic’ values. Mutual respect and trust must be reinforced by the adoption of appropriate values by patients. The main shortcomings present in isolated cases are associated with unequal treatment of patients and incorrect communication by nursing staff.

The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.

Robot-assisted laparoscopic partial nephrectomy (RAPN) has become a key technology in the treatment of renal tumors. Effective preoperative planning and precise intraoperative navigation are critical to a successful surgical outcome. This study aimed to evaluate the clinical application value of mixed reality (MR) in robotic nephron-sparing partial nephrectomy for patients with renal tumors of different complexity based on the R.E.N.A.L. score. A retrospective analysis was conducted on 68 eligible patients with renal cancer who underwent RAPN at The Second Affiliated Hospital of Nanchang University from January 2021 to December 2023, with postoperative pathology confirmation. Patients were divided into two groups: the MR group, with 28 cases, and the traditional imaging (control) group, with 40 cases. All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. Collect clinical data and metrics to assess surgical outcomes, as well as evaluate performance in areas such as preoperative discussions, doctor-patient communication, surgical planning, and intraoperative navigation. Compared to robot-assisted partial nephrectomy in the control group, the MR group experienced a reduction in operation time by approximately 30 min [(135.89 ± 23.494) min vs. (165.00 ± 34.320) min, P< 0.001)] and a decrease in ischemia time by around 2.5 min [(20.36 ± 3.956) min vs. (23.80± 6.889) min, P= 0.02)]. Within the subgroup with a R.E.N.A.L. score of less than 7 points, the MR group only showed a significant reduction in operation time [(134.55 ± 150.190) min vs. (150.19 ± 28.638) min, P = 0.045], with no notable differences in other parameters. For the subgroup with a R.E.N.A.L. score of 7 points or higher, the MR group exhibited shorter operation time [(140.83 ± 25.183) min vs. (195.77 ± 23.080) min, P< 0.001] and reduced warm ischemia time [(21.17 ± 2.714) min vs. (28.85 ± 7.570) min, P = 0.029]. Additionally, there was less estimated blood loss [(53.33 ± 5.164) min vs. (114.62 ± 80.376) min, P = 0.018]. All patients had negative resection margins, indicating equivalent therapeutic outcomes between the two groups. In comparison to traditional RAPN, MR technology demonstrates the ability to decrease operation time and warm ischemia time all the while maintaining equivalent curative outcomes. Additionally, it enhances preoperative discussions, doctor-patient interactions, preoperative strategizing, and intraoperative navigation, particularly excelling in complex renal tumor cases of RAPN, where its benefits are most pronounced.

Patient Satisfaction with Telehealth Services in Primary Care.

Objective: Patient satisfaction is an imperative factor in integrating telehealth services as a treatment modality in health care systems. Here, we compared patient satisfaction from telehealth versus in-person health care visits in a large heterogeneous population. Methods: We conducted a retrospective cohort study of patients making telehealth or in-person primary care visits between January 2021 and August 2022. Patient satisfaction with both service types was evaluated using a validated survey. Logistic regression models were employed to assess the association between type of visit (in-person/telehealth) and patient satisfaction (satisfied/unsatisfied) while accounting for sociodemographic and clinical characteristics. Results: Of the 247,087 surveys included in the study, 86,580 (35%) were answered following telehealth visits. Telehealth visitors were more satisfied than in-person visitors in aspects related to doctor-patient interactions, such as "courtesy and respect," "attentive listening," and "coherent explanations" (aOR = 1.17, 95% CI: 1.14-1.21; aOR = 1.16, 95% CI: 1.12-1.19; aOR = 1.15, 95% CI: 1.12-1.18, respectively), and less satisfied in aspects related to indirect services, such as adherence to appointment scheduling, effort required on the part of the patient, and staff cooperation (aOR = 0.95, 95% CI: 0.93-0.97; aOR = 0.89, 95% CI: 0.87-0.91; aOR = 0.85, 95% CI: 0.83-0.87, respectively). Importantly, considerably more telehealth visits were delayed (44%) than in-person visits (27%). Adjustment for this factor further strengthened the observed association between telehealth services and patient satisfaction. Conclusions: While telehealth was associated with high levels of satisfaction in doctor-patient interaction, improvements are still needed in indirect services. Addressing issues related to staff cooperation and streamlining processes to reduce delays could improve overall patient satisfaction with telehealth.

A Qualitative Investigation into the Determinants of Unfulfilled Needs in Caregivers of Patients with Phenylketonuria.

To conduct an in-depth exploration of the factors influencing unfulfilled needs in caregivers of patients with phenylketonuria. A rapid qualitative analysis approach was used to conduct semi-structured interviews with 16 caregivers of patients with phenylketonuria undergoing specialized dietary interventions, along with 5 medical professionals, within a designated phenylketonuria diagnosis and treatment center in Shanxi Province. Interview data were systematically organized, analyzed, and thematically extracted. Four primary themes were extracted: self-imposed constraints (including insufficient caregiver engagement, economic limitations, and stigma); interpersonal constraints (encompassing social isolation, inadequate social support networks, and lack of doctor-patient interactions); structural limitation factors (inadequate provision of specialized professional support systems, lack of medical dietary supplements, and deficiencies in national policies); and experiential limitation factors (encompassing sensory perceptions of medical dietary supplements and insufficient continuity in psycho-emotional care). The unfulfilled needs of caregivers of patients with phenylketonuria primarily manifest across four dimensions. Greater emphasis on addressing these needs is warranted, necessitating increased attention to patients with phenylketonuria and their caregivers. Specifically, the focus should be directed toward addressing their emotional requirements, along with proactive development of the medical service infrastructure. Such measures are imperative for reducing unfulfilled needs among caregivers of patients and enhancing their prognosis.

Large language models in patient education: a scoping review of applications in medicine.

Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet by Anthropic, and Gemini by Google. This scoping review aims to synthesize the current applications and potential uses of LLMs in patient education and engagement. Following the PRISMA-ScR checklist and methodologies by Arksey, O'Malley, and Levac, we conducted a scoping review. We searched PubMed in June 2024, using keywords and MeSH terms related to LLMs and patient education. Two authors conducted the initial screening, and discrepancies were resolved by consensus. We employed thematic analysis to address our primary research question. The review identified 201 studies, predominantly from the United States (58.2%). Six themes emerged: generating patient education materials, interpreting medical information, providing lifestyle recommendations, supporting customized medication use, offering perioperative care instructions, and optimizing doctor-patient interaction. LLMs were found to provide accurate responses to patient queries, enhance existing educational materials, and translate medical information into patient-friendly language. However, challenges such as readability, accuracy, and potential biases were noted. LLMs demonstrate significant potential in patient education and engagement by creating accessible educational materials, interpreting complex medical information, and enhancing communication between patients and healthcare providers. Nonetheless, issues related to the accuracy and readability of LLM-generated content, as well as ethical concerns, require further research and development. Future studies should focus on improving LLMs and ensuring content reliability while addressing ethical considerations.

Recording diagnostic conversations for communication research purposes in pediatric leukemia.

Recordings of patient-doctor interactions is a recommended method in communication research. However, concerns are expressed regarding audio-recording of conversations with vulnerable patients. Our study examined experiences of children, parents, and oncologists with recording diagnostic conversations in the pediatric acute leukemia setting. Results show that recording conversations is generally well received by virtually all children and parents. Pediatric oncologists seem to overestimate the expected emotional burden for children and parents, which may lead to gatekeeping by professionals. This in turn may lead to a decrease in patient autonomy and research quality when addressing relevant questions in communication science.

Evaluation and mitigation of cognitive biases in medical language models.

Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient-doctor interactions because of factors like patient compliance, experience, and cognitive bias. We hypothesized that LLMs would produce less accurate responses when faced with clinically biased questions as compared to unbiased ones. To test this, we developed the BiasMedQA dataset, which consists of 1273 USMLE questions modified to replicate common clinically relevant cognitive biases. We assessed six LLMs on BiasMedQA and found that GPT-4 stood out for its resilience to bias, in contrast to Llama 2 70B-chat and PMC Llama 13B, which showed large drops in performance. Additionally, we introduced three bias mitigation strategies, which improved but did not fully restore accuracy. Our findings highlight the need to improve LLMs' robustness to cognitive biases, in order to achieve more reliable applications of LLMs in healthcare.

A Qualitative Thematic Analysis Exploring Chinese Young Adults' Experiences in Decision Making on the Management of Low-Risk Papillary Thyroid Cancer.

Background: Thyroid cancer is the most common endocrine neoplasm in China. Questions regarding the extent of patient involvement in shared decision-making (SDM) processes persist; this is particularly pertinent to patients considering treatment options for low-risk papillary thyroid cancer (PTC). In this study, we aimed to explore Chinese young adults' experiences of SDM relating to the choice of treatment for low-risk PTC. Methods: The study used a qualitative descriptive design and semistructured interviews. Interviews were conducted with 24 patients (ages ranging from 18 to 38 years; 4 men and 20 women) diagnosed with low-risk (PTC) between March 2023 and May 2024. Twenty-two of 24 patients' tumor size measured 1 cm or smaller; the largest tumor size measured 1.47 cm. Reflexive thematic analysis was used to identify key themes from the transcribed interviews. Results: The analysis revealed that the SDM experiences of young patients with low-risk PTC involve four themes: challenges in information sharing; reasons for information seeking; factors influencing decision making; and self-positioning in treatment decision making. Three self-positions relating to treatment decision making were identified. These included dependent positioning, which reflects a "paternalistic" decision-making pattern; collaborative positioning, reflecting a "sharing" of decision making; and autonomous positioning, reflecting an increased sense of personal responsibility for both managing their health and engagement in decision making. Limited treatment options being offered, overuse of medical terminology, and communication gaps between clinicians and patients were the main challenges described during the information-sharing process. Information that needs persisting after physician-patient consultations resulted in active information-seeking behavior. The key variables identified in this study that potentially affected the decision-making process were future personal considerations, language used to discuss cancer, and negative emotions. Conclusions: These results highlight the necessity of adopting flexible strategies when supporting collaborative treatment decision making in the context of the doctor-patient interaction for low-risk PTC. Based on these findings, clinicians can take measures to enhance the quality of SDM by inquiring about patients' role preferences, providing details of the full range of treatment options, and encouraging patients to share their preferences and concerns relating to possible treatment options.

Self-management in young and middle-aged patients with hypertension: a systematic review and meta-synthesis of qualitative studies

BackgroundThere has been a sharp increase in the prevalence of hypertension in young and middle-aged people at high risk of the disease. Despite the fact that good self-management can be effective in controlling blood pressure, patients do not perform well in this area, resulting in poor blood pressure control. It is therefore particularly important to gain a thorough understanding of patients’ attitudes to self-management and the factors that influence them. The aim of this study was to synthesise the qualitative research on attitudes, motivations and challenges of self-management in young and middle-aged hypertensive patients, to analyse the synthesised results using the COM-B model and to propose appropriate improvement actions.MethodsFrom the time of construction until May 2023, the system searched PubMed, Web of Science, ProQuest, Embase, MEDLINE, CINAHL, PsyCINFO and CNKI databases. The analyses were carried out using a thematic synthesis approach to summarise the key findings. The findings were then mapped and analysed using the COM-B model.ResultsA total of 11 studies were included, involving 250 patients between the ages of 18 and 64. Four themes with ten sub-themes were identified: Poor disease recognition (low disease perception, fuzzy disease knowledge); Barriers to doctor-patient interactions (short communication time, unmet knowledge needs, incomplete guidance for disease management); Living in a hostile environment (heavy workload, lack of companionship, ignorance of families); Expectations for a healthy body (responsibility of family roles, witness the cruelty of illness). Analysis of the composite results based on the COM-B model showed that low disease perceptions, barriers to doctor-patient interactions and life circumstances with enemies on all sides were the main challenges faced by young and middle-aged hypertensive patients, whereas the expectation of a healthy body was a motivation to promote self-management of blood pressure in patients.ConclusionsThis study shows that family responsibilities are a particular motivator for self-management in young and middle-aged hypertensive patients. In response to the problems they face, we believe that meeting patients’ knowledge needs, improving healthcare professionals’ communication skills and valuing the role of community hospitals are effective ways to promote patient self-management. In the future, telemedicine, mobile healthcare and intelligent monitoring devices will provide a solution to reduce the burden on medical resources.Systematic review registrationPROSPERO CRD42018100810.

A Comprehensive Approach to Enhancing Doctor-Patient Interaction: Bridging the Gap for Better Healthcare

A Comprehensive Approach to Enhancing Doctor-Patient Interaction: Bridging the Gap for Better Healthcare