Using Personal Health Records to Improve the Quality of Health Care for Children

2013 ◽  
pp. 966-966
Author(s):  
Keyword(s):  
Health Care ◽  
Quality Of Health Care ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records

scholarly journals Continuity of care in Ghana: the promise of smart-med

2014 ◽  
Vol 3 (4) ◽  
pp. 473
Author(s):  
Henry Ogoe ◽  
Odame Agyapong ◽  
Fredrick Troas Lutterodt
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Continuity Of Care ◽  
Medical Information ◽  
Care Delivery ◽  
Personal Health Records ◽  
Personal Health ◽  
Care Providers ◽  
Health Records ◽  
Fragmentation Of Care

Individuals tend to receive medical care from different health care providers as they drift from one location to another. Oftentimes, multiple providers operate disparate systems of managing patients medical records. These disparate systems, which are unable to share and/or exchange information, have the propensity to create fragmentation of care, which poses a serious threat to the realization of continuity of care in the Ghanaian health care delivery. Continuity of care, which is the ability to seamlessly access, update, and manage patients medical information as they visit multiple providers, is a crucial component of quality of care in any health delivery system. The current system of managing patients records in Ghanapaper-basedmakes continuity of care difficult to actualize. To this end, we have developed a smartcard based personal health records system, SMART-MED, which can effectively promote continuity of care in Ghana. SMART-MED is platform-independent; it can run as standalone or configured to plug into any Java-based electronic medical record system. Results of a lab simulation test suggest that it can effectively promote continuity of care through improved data security, support interoperability for disparate systems, and seamless access and update of patients health records. Keywords: Continuity of Care, Fragmentation of Care, Interoperability, Personal Health Records, Smartcard.

Personal Health Records Status-Quo and Future Perspectives

2010 ◽  
pp. 43-63
Author(s):  
Simon Y. Liu,
Keyword(s):  
Health Care ◽  
Health Information ◽  
Personal Health Record ◽  
Full Range ◽  
Personal Health Records ◽  
Controlled Vocabulary ◽  
Care Process ◽  
Personal Health ◽  
Health Records ◽  
Access To Health

Consumers, industry, and government have recently focused attention on the potential of personal health records to empower patients in the health care process, improve patient-provider relationships, facilitate patient access to health information, and improve the quality of health care. A Personal Health Record (PHR) is a private and secure digital record that is created, managed, and owned by an individual, and contains the owner’s relevant health information. The benefits of PHRs have not yet been widely realized due to several significant challenges in their adoption, including the need for privacy, security, and interoperability, and the lack of accepted standards. Although many players in the healthcare arena are beginning to offer partial solutions, none have adequately addressed the full range of challenges. The adoption of PHRs can be significantly accelerated by the development of Open Source software that enables an individual to collect, create, organize, and manage his or her own private and secure PHR, using a standardized format and controlled vocabulary.

scholarly journals Do the quality of health care services provided at personal health care institutions of Kaunas city and access to it meet expectations of pregnant women

Medicina ◽  
2009 ◽  
Vol 45 (8) ◽  
pp. 652 ◽  
Author(s):  
Virginija Vanagienė ◽  
Birutė Žilaitienė ◽  
Tadas Vanagas
Keyword(s):  
Health Care ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Quality Of Health Care ◽  
Response Rate ◽  
Care Facility ◽  
Family Physicians ◽  
Personal Health ◽  
Health Care Institutions

Objectives. To evaluate if the quality of services provided by family physicians and obstetricians/gynecologists at primary personal health care institutions of Kaunas city and access to it meet the needs and expectations of pregnant women. Material and methods. Pregnant women visiting the selected health care institutions at their third trimester of pregnancy were asked to fill in the anonymous questionnaire. The study was conducted at two randomly selected maternity centers of Kaunas city and two family practices of Kaunas city where antenatal care was provided by family physicians. The questionnaires were given to 106 patients visiting family physicians (response rate was 88.7%) and to 202 patients visiting obstetricians/ gynecologists (response rate was 81.7%). Results. Health services provided by family physicians and obstetricians/gynecologists met the expectations of pregnant women in respect of providing with information and communication. The patients of obstetricians/gynecologists significantly more often stated that they were very satisfied with patient-physician communication (P<0.05), they significantly more often understood explanations given by the physician (P<0.001) and claimed having sufficient knowledge about pregnancy (P<0.05), while the patients of family physicians significantly more often asserted that the physician helped them in preparation for childbirth (P<0.05). The patients of obstetricians/gynecologists significantly more often did not face any problems with access to services as compared to the patients of family physicians (z=3.0). Most of pregnant women stated that they were satisfied or very satisfied with the quality of health care at the health care facility providing them with antenatal care irrespective of the physician’s specialty. Conclusions. The quality of antenatal health care provided by both family physicians and obstetricians/gynecologists and access to it satisfied the needs and expectations of the surveyed women. Correction of the limitations noticed, e.g., closer communication, more understandable explanations, more attention to preparation for childbirth, better work planning, could improve the quality of antenatal care provided by the family physicians.

scholarly journals Caderneta de saúde da criança: vigilância do crescimento e desenvolvimento infantil

2018 ◽  
Vol 12 (12) ◽  
pp. 3445
Author(s):  
Talita Cristina Tomaz Silva ◽  
Emília Gallindo Cursino ◽  
Liliane Faria Da Silva
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Child Health ◽  
Growth And Development ◽  
Scientific Evidence ◽  
Child Growth ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Primary Health

RESUMOObjetivo: analisar as evidências científicas quanto à utilização da Caderneta de Saúde da Criança pelos profissionais de saúde para a vigilância do crescimento e desenvolvimento infantil. Método: trata-se um estudo bibliográfico, tipo revisão integrativa, com buscas nas bases de dados LILACS e BDENF e na biblioteca virtual SCIELO, utilizando os Descritores em Ciências da Saúde; crescimento e desenvolvimento, atenção primária à saúde e registros de saúde pessoal, que foram cruzados com o descritor criança empregando-se o operador booleano and. Selecionaram-se 15 artigos publicados entre 2014 a 2018 e os resultados apresentam-se em forma de figura. Resultados: evidenciou-se, nos estudos, a precária utilização da CSC, que está relacionada à ausência e à fragilidade de registros, à dificuldade de os profissionais perceberem a relevância do preenchimento, ao conhecimento deficiente dos profissionais, à insuficiência de orientações às famílias, além da participação da família nesse processo. Conclusão: compromete-se, pela precariedade da utilização da CSC, a vigilância da saúde infantil por ser este o instrumento essencial para o acompanhamento do crescimento e do desenvolvimento da criança. Descritores: Crescimento e Desenvolvimento; Atenção Primária à Saúde; Registros de Saúde Pessoal; Criança; Atenção Integral à Saúde; Saúde da Criança.ABSTRACT Objective: to analyze the scientific evidence regarding the use of the Child Health Booklet by health professionals for the monitoring of child growth and development. Method: a bibliographical study, type integrative, with searches in LILACS and BDENF databases and in the SCIELO virtual library, using Descriptors in Health Sciences; growth and development, primary health care and personal health records, which were cross-referenced with the child descriptor employing the Boolean operator and. 15 articles published between 2014 and 2018 were selected and the results are presented in figure form. Results: the poor use of CHB was evidenced in the studies, which is related to the absence and fragility of records, the difficulty of professionals to perceive the relevance of filling, poor knowledge of professionals, insufficient guidance to families, besides the participation of the family in this process. Conclusion: due to the precarious nature of the use of CHB, it is committed to monitoring child health as this is the essential instrument for monitoring child growth and development. Descriptors: Growth and Development; Primary Health Care; Personal Health Records; Kid; Comprehensive Health Care; Child Health. RESUMEN Objetivo: analizar las evidencias científicas en cuanto a la utilización de la libreta de Salud del Niño por los profesionales de salud para la vigilancia del crecimiento y desarrollo infantil. Método: se trata de un estudio bibliográfico, tipo revisión integrativa, con búsquedas en las bases de datos LILACS y BDENF y en la biblioteca virtual SCIELO, utilizando los Descriptores en Ciencias de la Salud; crecimiento y desarrollo, atención primaria a la salud y registros de salud personal, que fueron cruzados con el descriptor niño empleándose el operador booleano and. Se seleccionaron 15 artículos publicados entre 2014 y 2018 y los resultados se presentan en forma de figura. Resultados: se evidenció, en los estudios, la precaria utilización de la CSC, que está relacionada a la ausencia y fragilidad de registros, a la dificultad de los profesionales percibir la relevancia del llenado, el conocimiento deficiente de los profesionales, la insuficiencia de orientaciones a las familias, además de la participación de la familia en ese proceso. Conclusión: se compromete, por la precariedad de la utilización de la CSC, la vigilancia de la salud infantil por ser éste el instrumento esencial para el acompañamiento del crecimiento y del desarrollo del niño. Descriptores: Crecimiento y Desarrollo; Atención Primaria a la Salud; Registros de Salud Personal; Niño; Atención Integral de Salud; Salud del Niño. 

scholarly journals Mechanism Design of Health Care Blockchain System Token Economy: Development Study Based on Simulated Real-World Scenarios

10.2196/26802 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e26802
Author(s):  
Se Young Jung ◽  
Taehyun Kim ◽  
Hyung Ju Hwang ◽  
Kyungpyo Hong
Keyword(s):  
Health Care ◽  
Mechanism Design ◽  
Real World ◽  
Health Care Organizations ◽  
Token Economy ◽  
Personal Health Records ◽  
Personal Health ◽  
Insurance Company ◽  
Health Records ◽  
Recruitment Time

Background Despite the fact that the adoption rate of electronic health records has increased dramatically among high-income nations, it is still difficult to properly disseminate personal health records. Token economy, through blockchain smart contracts, can better distribute personal health records by providing incentives to patients. However, there have been very few studies regarding the particular factors that should be considered when designing incentive mechanisms in blockchain. Objective The aim of this paper is to provide 2 new mathematical models of token economy in real-world scenarios on health care blockchain platforms. Methods First, roles were set for the health care blockchain platform and its token flow. Second, 2 scenarios were introduced: collecting life-log data for an incentive program at a life insurance company to motivate customers to exercise more and recruiting participants for clinical trials of anticancer drugs. In our 2 scenarios, we assumed that there were 3 stakeholders: participants, data recipients (companies), and data providers (health care organizations). We also assumed that the incentives are initially paid out to participants by data recipients, who are focused on minimizing economic and time costs by adapting mechanism design. This concept can be seen as a part of game theory, since the willingness-to-pay of data recipients is important in maintaining the blockchain token economy. In both scenarios, the recruiting company can change the expected recruitment time and number of participants. Suppose a company considers the recruitment time to be more important than the number of participants and rewards. In that case, the company can increase the time weight and adjust cost. When the reward parameter is fixed, the corresponding expected recruitment time can be obtained. Among the reward and time pairs, the pair that minimizes the company’s cost was chosen. Finally, the optimized results were compared with the simulations and analyzed accordingly. Results To minimize the company’s costs, reward–time pairs were first collected. It was observed that the expected recruitment time decreased as rewards grew, while the rewards decreased as time cost grew. Therefore, the cost was represented by a convex curve, which made it possible to obtain a minimum—an optimal point—for both scenarios. Through sensitivity analysis, we observed that, as the time weight increased, the optimized reward increased, while the optimized time decreased. Moreover, as the number of participants increased, the optimization reward and time also increased. Conclusions In this study, we were able to model the incentive mechanism of blockchain based on a mechanism design that recruits participants through a health care blockchain platform. This study presents a basic approach to incentive modeling in personal health records, demonstrating how health care organizations and funding companies can motivate one another to join the platform.

scholarly journals Personal Health Records for Patients with Chronic Disease

2014 ◽  
Vol 05 (02) ◽  
pp. 416-429 ◽  
Author(s):  
R. Rozenblum ◽  
A. Park ◽  
M. Dunn ◽  
D.W. Bates ◽  
S. Wells
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
High Risk ◽  
Health Care Organizations ◽  
Personal Health Records ◽  
Personal Health ◽  
High Risk Population ◽  
Record System ◽  
Health Records ◽  
Management Interventions

SummaryBackground: Personal health records (PHRs) connected to a physician’s electronic health record system hold substantial promise for supporting and engaging patients with chronic disease. Objectives: To explore how U.S. health care organizations are currently utilizing PHRs for chronic disease populations.Methods: A mixed methods study including semi-structured interviews and a questionnaire was conducted. A purposive sample was developed of health care organizations which were recognized as exemplars for PHRs and were high performers in national patient satisfaction surveys (H-CAHPS or CAHPS). Within each organization, participants were health IT leaders or those managing high-risk or chronic disease populations.Results: Interviews were conducted with 30 informants and completed questionnaires were received from 16 organizations (84% response rate). Most PHRs allowed patients to access health records and educational material, message their provider, renew prescriptions and request appointments. Patient generated data was increasingly being sought and combined with messaging, resulted in greater understanding of patient health and functioning outside of the clinic visit. However for chronic disease populations, there was little targeted involvement in PHR design and few tools to help interpret and manage their conditions beyond those offered for all. The PHR was largely uncoupled from high risk population management interventions and no clear framework for future PHR development emerged.Conclusion: This technology is currently underutilized and represents a major opportunity given the potential benefits of patient engagement and shared decision making. A coherent patient-centric PHR design and evaluation strategy is required to realize its potential and maximize this natural hub for multidisciplinary care co-ordination.Citation: Wells S, Rozenblum R, Park A, Dunn M, Bates DW. Personal health records for patients with chronic disease: A major opportunity. Appl Clin Inf 2014; 5: 416–429 http://dx.doi.org/10.4338/ACI-2014-01-RA-0002

scholarly journals Personal health records in the Netherlands: potential user preferences quantified by a discrete choice experiment

2016 ◽  
Vol 24 (3) ◽  
pp. 529-536 ◽  
Author(s):  
Domino Determann ◽  
Mattijs S Lambooij ◽  
Dorte Gyrd-Hansen ◽  
Esther W de Bekker-Grob ◽  
Ewout W Steyerberg ◽  
...  
Keyword(s):  
Health Care ◽  
Data Storage ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Health Care Providers ◽  
Choice Experiment ◽  
Personal Health Records ◽  
Personal Health ◽  
Care Providers ◽  
Health Records

Objective: To identify groups of potential users based on their preferences for characteristics of personal health records (PHRs) and to estimate potential PHR uptake. Methods: We performed a discrete choice experiment, which consisted of 12 choice scenarios, each comprising 2 hypothetical PHR alternatives and an opt-out. The alternatives differed based on 5 characteristics. The survey was administered to Internet panel members of the Dutch Federation of Patients and Consumer Organizations. We used latent class models to analyze the data. Results: A total of 1,443 potential PHR users completed the discrete choice experiment. We identified 3 latent classes: “refusers” (class probability 43%), “eager adopters” (37%), and “reluctant adopters” (20%). The predicted uptake for the reluctant adopters ranged from 4% in the case of a PHR with the worst attribute levels to 68% in the best case. Those with 1 or more chronic diseases were significantly more likely to belong to the eager adopter class. The data storage provider was the most decisive aspect for the eager and reluctant adopters, while cost was most decisive for the refusers. Across all classes, health care providers and independent organizations were the most preferred data storage providers. Conclusion: We identified 3 groups, of which 1 group (more than one-third of potential PHR users) indicated great interest in a PHR irrespective of PHR characteristics. Policymakers who aim to expand the use of PHRs will be most successful when health care providers and health facilities or independent organizations store PHR data while refraining from including market parties.

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