Personal Health Record Systems Research Articles

Impact of Personal Health Records on Diabetes Management: A Propensity Score Matching Study

Background: Effective self-management is crucial in diabetes care. This study investigates the impact of Personal Health Records (PHR) on diabetes management and person self-management behaviors. Methods: Retrospective cohort study was conducted involving individuals with diabetes using insulin and prescribed FreeStyle Libre®. Participants were categorized into PHR users and non-users. Key metrics such as HbA1c, Time in Range (TIR), Time above Range (TAR), and body weight were analyzed. Results: Among 212 intermittently scanned continuous glucose monitoring (isCGM) users, 25 individuals used PHR. Comparing 21 individuals using a PHR with 42 matched controls, the TIR significantly increased (ΔTIR 17.2% vs. 1.90%, p = 0.020), and HbA1c levels showed a greater decrease (ΔHbA1c −0.83% vs. −0.22%, p = 0.023). A significant reduction was also observed in TAR among PHR users (ΔTAR −17.6% vs. −1.63%, p = 0.017). There were no significant changes in body weight (ΔBW −0.51 kg vs. −1.60 kg, p = 0.578). Conclusions: PHR systems demonstrate potential in improving diabetes management by enhancing self-management practices and glycemic control. Although the sample size of PHR users was relatively low, PHR should be more widely used. The study underscores the need for further research on PHR’s long-term impact and its applicability in diverse diabetic populations.

The outcomes of electronic personal health records in patients with heart failure or coronary artery disease.

There are limited data on the efficacy of smartphone-based personal health records (PHRs) in patients with cardiovascular disease. This study aimed to examine the processes, outcomes and challenges associated with the implementation of integrated PHRs in patients with heart failure (HF) or coronary artery disease (CAD). This prospective single-group study evaluated the effects of a PHR system with the capability to capture electronic health records and vital signs in patients with HF or CAD. The outcomes measured were the 6-month changes in blood pressure (BP), body weight (BW), brain natriuretic peptide (BNP) levels, lipid profiles and haemoglobin (Hb) A1c levels. Between June 2021 and March 2022, we enrolled 111 patients (median age: 61years and 47% women) with CAD and/or HF. Over 6months, the PHR review count distribution was skewed: median 749 times (lowest 2, highest 5724)/180days, suggesting both low and excessive PHR users. After 3days, 23% of the patients discontinued inputting their vital signs and medication status. At 6months, compared with patients who discontinued, those who continued to input their vital signs (N=86) showed a significant decrease in their systolic BP and LDL-C levels but not in the diastolic BP, BW, BNP, HDL-C, triglyceride or HbA1c levels. The implementation of smartphone-based PHRs in daily practice is challenging for patients with HF or CAD. However, we observed positive indications of the benefits of PHR in these patients. UMIN000044369.

Cybersecurity Transformation: Cyber-Resilient IT Project Management Framework

In response to the escalating threats of cybersecurity attacks and breaches, ensuring the development and deployment of secure IT products has become paramount for organizations in their cybersecurity transformation. This work emphasizes the critical need for a comprehensive and secure IT project management life cycle that safeguards products from their initial development stages through decommissioning. The primary objective is to seamlessly integrate security considerations into every facet of IT project management life cycles. This work embraces a cyber-resilient IT project management framework and advocates the inclusion of cybersecurity measures in IT projects and their strategic, organized, continuous, and systematic integration throughout the entire product life cycle. It introduces a pioneering framework that harmonizes the cybersecurity risk management process with the IT project management life cycle. This framework delineates a methodical sequence of steps, each encompassing a distinct set of activities. The effectiveness and practical applicability of the proposed framework were validated through a comprehensive case study focused on the Personal Health Record (PHR) system. The PHR case study served as a real-world scenario to assess the framework’s ability to address cybersecurity challenges in a specific domain. The results of the experiment demonstrated the framework’s efficacy in enhancing the security posture of IT projects, showcasing its adaptability and scalability across diverse applications.

Enhancing the Functionalities of Personal Health Record Systems: Empirical Study Based on the HL7 Personal Health Record System Functional Model Release 1.

The increasing demand for personal health record (PHR) systems is driven by individuals' desire to actively manage their health care. However, the limited functionality of current PHR systems has affected users' willingness to adopt them, leading to lower-than-expected usage rates. The HL7 (Health Level Seven) PHR System Functional Model (PHR-S FM) was proposed to address this issue, outlining all possible functionalities in PHR systems. Although the PHR-S FM provides a comprehensive theoretical framework, its practical effectiveness and applicability have not been fully explored. This study aimed to design and develop a tethered PHR prototype in accordance with the guidelines of the PHR-S FM. It sought to explore the feasibility of applying the PHR-S FM in PHR systems by comparing the prototype with the results of previous research. The PHR-S FM profile was defined to meet broad clinical data management requirements based on previous research. We designed and developed a PHR prototype as a web application using the Fast Healthcare Interoperability Resources R4 (FHIR) and Logical Observation Identifiers Names and Codes (LOINC) coding system for interoperability and data consistency. We validated the prototype using the Synthea dataset, which provided realistic synthetic medical records. In addition, we compared the results produced by the prototype with those of previous studies to evaluate the feasibility and implementation of the PHR-S FM framework. The PHR prototype was developed based on the PHR-S FM profile. We verified its functionality by demonstrating its ability to synchronize data with the FHIR server, effectively managing and displaying various health data types. Validation using the Synthea dataset confirmed the prototype's accuracy, achieving 100% coverage across 1157 data items. A comparison with the findings of previous studies indicated the feasibility of implementing the PHR-S FM and highlighted areas for future research and improvements. The results of this study offer valuable insights into the potential for practical application and broad adoption of the PHR-S FM in real-world health care settings.

Development of a minimum data set for a blockchain-based personal health records (PHRs), for patient/physician interaction in family medicine.

The primary requirement for a capable patient health record (PHR) that can interact appropriately with the family medicine system and collect and share qualified data is a minimum data set (MDS) aligned with family medicine's functions and goals. The aim of this research was to determine the MDS for a blockchain-based PHR system that can effectively interact with family medicine providers and collect and share qualified data. This MDS is intended to be applicable to all members of the community covered by family medicine. This applied study was conducted in 2022 in a cross-sectional and descriptive approach in three phases. In the first phase, a content analysis related to the research objectives was conducted in scientific databases, search engines, and websites of the centers and scientific research organizations with publications and policy-making in this field. Consequently, 11 studies were selected for use in the second and third phases. In the second phase, to determine information needs, a researcher-developed questionnaire including 17 classes was given to 50 people under the cover of the family medicine plan in Shiraz city. By choosing one of the two options "Yes" or "No" by them, the necessary data classes were determined. In the third phase, the second researcher-developed questionnaire was designed and administered to 100 family physicians in Shiraz city. This questionnaire included the data elements corresponding to the data classes approved in the previous phase. The family physicians were asked to rate the importance of each data element using a Likert scale with five options, ranging from "very unimportant" to "very important." The necessary data elements were determined based on these scores. In the first questionnaire, 16 of the 17 data classes received approval from individuals covered by the family medicine plan. Consequently, a questionnaire comprising 16 classes and 105 data elements was administered to the family physicians. Ultimately, the MDS was determined to include 16 classes and 72 data elements. Determining essential data elements, especially for patient/physician interaction in family medicine, should be such that they can be managed by the person while being comprehensive and providing sufficient help to the physician during the treatment process. This MDS can be used to interact with and refer PHRs to other physicians and specialists, as well as help interoperability between the PHR and other health systems, such as hospital information systems (HIS) and electronic health records (EHRs).

Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model.

Chronic diseases are the leading causes of death in the world. In sub-Saharan Africa, it leads to more mortality than almost every other region in the world. Currently, digital health technology like personal health records plays a crucial role in managing patients with chronic diseases. In low-resource countries like Ethiopia, it is uncertain how many chronic patients intend to use PHRs and the accompanying circumstances. Hence, the aim of this study was to assess chronic patients' intention to use PHRs and its predictors enrolled in public health hospitals in Bahir Dar city, northwest Ethiopia. An institutional-based cross-sectional study was conducted among 924 respondents from April 5 to May 9, 2023, in Bahir-Dar city public hospitals. A stratified sampling technique followed by a systematic sampling technique was applied to select the study participants. An interviewer-administrated questionnaire was conducted using Kobo Collect. A UTAUT2 model was applied to develop theoretical frameworks. SPSS version 25 software was used to estimate the descriptive statistics, and the structural equation model analysis was used to evaluate model constructs using AMOS version 21 software. In this study, a total of 908 study subjects participated. The proportion of chronic patients' intention to use PHR was 46.7% [95.0% CI (43.4-50.1)]. According to the findings, performance expectancy (β = 0.259, p-value <0.001), effort expectancy (β = 0.214, p-value <0.001), social influence (β = 0.174, p-value <0.001), and facilitating condition (β = 0.114, p-value <0.01) had a significant effect on the intention to use PHRs. Generally, the overall intention to use PHR was low. Our finding illustrates that the effects of performance expectancy, effort expectancy, social influence, and facilitating conditions had a positive effect on patients' intentions to use PHRs. The effect of effort expectancy on the intention to use a PHR was positively moderated by age. Since the findings of this study would help policymakers and programmers to future academics interested in this area and insight to future research workers. Therefore, implementers should focus on improving patient capacity, motivating users, and raising awareness regarding PHR.

Gamification in personal health record systems: a regulatory fit perspective

Objective It has been known that individuals’ regulatory focus differences (prevention orientation or promotion orientation) influence health-related behaviors. However, in the gamification literature, when classical and gamified applications are discussed, the gain frame is predominantly included, whereas the loss frame is not sufficiently considered. In this study, individuals’ evaluations of gamified and non-gamified personal health record systems with different frames were examined. Methods A 2 (type of personal health record system application: gamified vs. non-gamified) X 2 (frame: gain vs. loss) between-subject design was implemented, and users’ regulatory foci were tested in this study. We predicted that systems that are gamified and aligned with users’ regulatory foci will be evaluated more favorably than systems that are not aligned with users’ regulatory foci. Results Contrary to what the gamification literature suggests, we found that individuals do not always prefer gamified systems over non-gamified ones. Participants’ regulatory focus might play a crucial role in their attitudes toward gamified platforms. Conclusion The findings might contribute to the design of personal health record systems by bearing the individual motivational differences of users in mind.

Cohort profile: rationale and design of the Resource Center for Health Science (RECHS) project – a study of health hazards and medical cost burden among the Japanese population

PurposeThe increased global burden of non-communicable diseases and mental disorders is an urgent health challenge for countries around the entire world, especially those experiencing super-ageing societies, where over 21% of...

Prevalence of the hematopoietic rare genetic diseases in Türkiye: A retrospective study

BackgroundRare genetic diseases are an important global public health problem. At present there are defined approximately 8120 genetic diseases in 15,465 epidemiological datasets and 70% of them start in childhood. Hematopoiesis is the production of all cellular components of blood and continues throughout life. ObjectiveThis study aims to present prevalence of hematopoietic rare genetic diseases recorden in Turkey. MethodsThe population of study consist of 84.680.273 people who received healthcare from the Turkish National Health Service (49.9% female, 50.1% male). TNHS collects and records electronic data which relates with illness or health information of Turkish population since 2018. All healthcare facilities utilize the Personal Electronic Health Record System (PHR), aligning with standards outlined in the Turkish National Health Data Dictionary and the Health Coding Reference Server (HCRS) established by the Ministry of Health in 2007. The data dictionary comprises essential packages such as patient application and examination records. ResultsDiagnosed female population (53.04%) were higher than male (46.96%). Data shows that most of the people with rare genetic diseases were diagnosed in Marmara Region. The overall prevalence of Hematopoietic Rare Genetic Diseases higher in the years of 2021 and 2022. ConclusionThe prevalence increased gradually from 2018 to 2022. The consanguinity marriage seems to be the main problem which resulted higher rate of rare genetic diseases in Türkiye.

Prototipe Rekam Kesehatan Personal pada Pasien Diabetes Mellitus (Literature Review)

Personal Health Record (PHR) is a collection of health-related data that is archived and managed by an individual or parties associated with the PHR. Its purpose is to provide a comprehensive and accurate summary of a person's health history that can be accessed online. This research is a Literature Review study which aims to determine the features and implementation of Personal Health Records in Patients with Diabetes Mellitus. The method used is the Literature Review method from 7 journals which uses several methods including the prototype method, qualitative methods, heuristic evaluation methods, applied development methods, participatory action research methods, and randomized controlled trial methods with data collection techniques through google scholar, direct science and pubmed. The results of the research are seen in the features and implementation of the Personal Health Record. The Personal Health Record feature for diabetes mellitus with dialysis measures has 25 features on the main page, the PHR feature for diabetes mellitus has 7 main features. PHR implementation allows users to access their personal health records anytime and anywhere. Thus, the PHR system can increase accessibility and allow users to access PHR without time restrictions and also the Personal Health Record can assist in monitoring the health condition of Diabetes Mellitus patients. Research conclusion According to the journals analyzed, PHR is effective because it can encourage patient participation in individual health controls, and can access information about diabetes mellitus through monitoring physical activity, diet, weight, and glucose levels.

What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention

Personal Health Record (PHR) allows individuals to access, manage, and share health-related information while actively participating in personal care management. The ongoing COVID-19 pandemic and changes imposed by the government on the population enhanced the disparities among citizens’ ability to access healthcare. Thus, the purpose of this study was to provide an operating mechanism for understanding the effects of COVID-19 on individuals’ PHR adoption intention based on an extended research model, including the Innovation and Diffusion Theory and Technology Acceptance Model. Structural equation modeling was employed to analyze the research model, using 390 valid responses from Taiwan. Findings indicated relative advantage, compatibility, ease of use, and personal innovativeness significantly influence perceived usefulness. Second, relative advantage, compatibility, ease of use, personal innovativeness, and perceived threat of COVID-19 significantly affect attitude toward PHR. Third, perceived usefulness and attitude positively influence PHR adoption intention. The current study provides policymakers insight into how Taiwanese individuals’ psychological, technological, and pandemic-related threat affect their willingness to use the PHR system during the pandemic to receive better care that could eventually improve their quality of life.

Intelligent Personal Health Record Systems

Personal health record (PHR) systems are a constantly evolving area in the field of health information technology which motivates an ongoing research towards their evaluation in several different aspects. In this direction, we present an evaluation study on PHR systems that provides an insight on their current status with regard to functional and technical capabilities and we present our extensions to a specific PHR system. Essentially, we provide a requirement analysis that formulates our composite evaluation model which we use to perform a systems review on numerous available solutions. Then, we present our development efforts towards an intelligent PHR system

Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study.

Electronic personal health record (e-PHR) system enables individuals to access their health information and manage it themselves. It helps patient engagement management of health information that is accessed and shared with their healthcare providers using the platform. This improves individual healthcare through the exchange of health information between patients and healthcare providers. However, less is known about e-PHRs among healthcare professionals. Therefore, this study aimed to assess Health professionals' Knowledge and attitude and its associated factors toward e-PHR at the teaching hospital in northwest Ethiopia. An institution-based cross-sectional study design was used to determine healthcare professionals' knowledge and attitude and their associated factors toward e-PHR systems in teaching hospitals of Amhara regional state, Ethiopia, from 20 July to 20 August 2022. Pretested structured self-administered questionnaires were used to collect the data. Descriptive statistic was computed based on sociodemographic and other variables presented in the form of table graphs and texts. Bivariable and multivariable logistic analyses were performed with an adjusted odds ratio (AOR) and 95% CI to identify predictor variables. Of the total study participants, 57% were males and nearly half of the respondents had a bachelor's degree. Out of 402 participants, ~65.7% [61-70%] and 55.5% [50-60%] had good knowledge and favorable attitude toward e-PHR systems, respectively. Having a social media account 4.3 [AOR = 4.3, 95% CI (2.3-7.9)], having a smartphone 4.4 [AOR = 4.4, 95% CI (2.2-8.6)], digital literacy 8.8 [(AOR = 8.8, 95% CI (4.6-15.9)], being male 2.7 [AOR = 2.7, 95% CI (1.4-5.0)], and perceived usefulness 4.5 [(AOR = 4.5, 95% CI (2.5-8.5)] were positively associated with knowledge toward e-PHR systems. Similarly, having a personal computer 1.9 [AOR = 1.9, 95% CI (1.1-3.5)], computer training 3.9 [AOR = 3.9, 95% CI (1.8-8.3)], computer skill 19.8 [AOR = 19.8, 95% CI (10.7-36.9)], and Internet access 6.0 [AOR = 6.0, 95% CI (3.0-12.0)] were predictors for attitude toward e-PHR systems. The findings from the study showed that healthcare professionals have good knowledge and a favorable attitude toward e-PHRs. Providing comprehensive basic computer training to improve healthcare professionals' expectation on the usefulness of e-PHR systems has a paramount contribution to the advancement of their knowledge and attitude toward successfully implementing e-PHRs.

Knowledge of Australia’s My Health Record and factors associated with opting out: Results from a national survey of the Australian general population and communities affected by HIV and sexually transmissible infections

My Health Record is Australia's national, digital, personal health record system. All Australians have a record in the system unless they choose to opt out of it. Concerns about privacy, security and unwanted sharing of data, particularly in marginalised populations, may impede its use. We conducted a national, online survey of Australians' attitudes to digital health in April-June 2020. The sample (N = 2,240) was recruited from the general population and four priority populations affected by HIV and other sexually transmissible infections: gay and bisexual men, people living with HIV, sex workers, and trans and gender diverse people. This analysis assesses factors associated with greater knowledge of My Health Record and the likelihood of opting out of the system. Due to increased concerns about data privacy and misuse, we hypothesised that priority population members would know more about and be more likely to opt out of the system. We found that most of the sample (71.2%) knew little about My Health Record and 29.4% had opted out of the system. Greater knowledge of My Health Record was associated with younger age, having a university degree, having one or more health conditions, and being trans or gender diverse. Being a student, unemployed, receiving government benefits, or having poor self-reported health, were associated with less knowledge. Opting out of My Health Record was associated with having a university degree, one or more health conditions, and being a priority population member. The likelihood of opting out was lower among people born overseas, residents of Queensland, and people who were students, unemployed, or receiving government benefits. We recommend additional investment in community-based education to address people's concerns about My Health Record and support people to use the system without compromising their health care, privacy, or security. Opting out may be a legitimate choice for people who perceive more risks than benefits from the system.

Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model

ObjectivesPersonal health record systems allow users to manage their health information in a confidential manner. However, there is little evidence about healthcare providers’ intentions to use such technologies in resource-limited...

Certificateless Broadcast Encryption with Authorization Suitable for Storing Personal Health Records

Abstract Cloud medical treatment provides real-time data sharing in a cost-effective method, making it more practical to create, collect and manage vast amounts of personal health records (PHR) of patients. However, health information is considered highly sensitive. How to securely store and dynamically process massive patients’ PHR data in a public cloud environment has become one of the most important challenges. Therefore, we introduce a novel solution to the problems of privacy exposure, data security and flexible access of storage modules in medical systems. In this paper, we present a privacy-preserving certificateless broadcast encryption with authorization for the PHR system, which is the best approach to effectively solve the above problems and avoid key escrow. In our work, users (patients) outsource their encrypted data to the cloud server and reallocate data accessing rights of recipients through an authorization set, sharing with a group of authorized receivers (doctors) in a secure and efficient manner. In addition, it is shown to be capable of achieving both plaintext confidentiality and receiver anonymity under the random oracle model. Moreover, the experimental evaluation shows that the proposed scheme enjoys low computational and communication overhead, indicating the feasibility and practicality of the scheme.

Distance is no longer a barrier to healthcare services: current state and future trends of telehealth research

PurposeTaking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.Design/methodology/approachThis research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).FindingsUsing performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.Originality/valueThis article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.

Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals' intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling-partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

Hospitals' Adoption of Mobile-Based Personal Health Record Systems and Patients' Characteristics: A Cross-Sectional Study Analyzing National Healthcare Big Data.

Insufficient information exists on the associations between hospitals' adoption of mobile-based personal health record (mPHR) systems and patients' characteristics. This study explored the associations between patients' characteristics and hospitals' adoption of mPHR systems in Korea. This cross-sectional study used 316 hospitals with 100 or more beds as the unit of analysis. Previously collected data on mPHR adoption from May 1 to June 30, 2020 were analyzed. National health insurance claims data for 2019 were also used to analyze patients' characteristics. The dependent variable was mPHR system adoption (0 vs 1) and the main independent variables were the number of patients, age distribution, and proportions of patients with cancer, diabetes, and hypertension among inpatients and outpatients. The number of inpatients was significantly associated with mPHR adoption (adjusted odds ratio [aOR]: 1.174; 1.117-1.233, P < .001), as was the number of outpatients (aOR: 1.041; 1.028-1.054, P < .001). The proportion of inpatients aged 31 to 60 years to those aged 31 years and older was also associated with hospital mPHR adoption (aOR: 1.053; 1.022-1.085, P = .001). mPHR system adoption was significantly associated with the proportion of inpatients (aOR: 1.089; 1.012-1.172, P = .024) and outpatients (aOR: 1.138; 1.026-1.263, P = .015) with cancer and outpatients (aOR: 1.271; 1.101-1.466, P = .001) with hypertension. Although mPHR systems are useful for the management of chronic diseases such as diabetes and hypertension, the number of patients, younger age distribution, and the proportion of cancer patients were closely associated with hospitals' introduction of mPHR systems.

Improving health-care planning for fracture patients in Türkiye: insights from a nationwide study.

The distribution of fractures may vary according to age and gender. In a country like Türkiye, which has high population density and covers a large geographical area, it is important to understand the regional variations in fractures and identify the health institutions in which patients seek treatment to plan new health-care investments effectively. The objective of our study was to investigate the distribution of fractures across the seven regions of Türkiye considering age, gender, and the level of health institutions the patients visited. Between January 2021 and May 2023, the total number of fractures, locations of the fractures, patient age and gender, geographical regions, and levels of the health-care institutions to which the patients presented were examined through the e-Nabız personal health record system. Age groups were divided into pediatric (0-19 years), adult (20-64 years), and geriatric (≥65 years) categories. Geographical regions included the Marmara, Central Anatolia, Black Sea, Eastern Anatolia, Aegean, Mediterranean, and Southeastern Anatolia regions. A total of 2,135,701 patients with 2,214,213 fractures were analyzed. Upper extremity fractures were the most common among all considered fracture groups (1,154,819 fractures, 52.2%). There were 643,547 fractures in the pediatric group, 1,191,364 fractures in the adult group, and 379,302 fractures in the geriatric group. While the total number of fractures was higher among men with 1,256,884 fractures (58.9%), the rate among women was higher in the geriatric group (67.2%). Geographically, the highest number of fractures was observed in the Marmara region (714,146 fractures), and 67.92% of all patients presented to secondary health-care institutions (1,500,780 fractures). The most commonly diagnosed fracture in the study population was distal radius fractures. The most common fracture in the geriatric group was femur fractures while distal radius fractures were the most common fractures in the adult and the pediatric groups. By understanding the distribution of fractures in Türkiye based on fracture site, geographical region, age, and gender, it becomes possible to improve the planning of patient access to health-care services. In regions with limited health resources, a more successful resource distribution can be achieved by considering fracture distributions and age groups.