scholarly journals Patient experience with family history tool: analysis of patients’ experience sharing their family health history through patient-computer dialogue in a patient portal

2019 ◽  
Vol 26 (7) ◽  
pp. 603-609 ◽  
Author(s):  
Adarsha S Bajracharya ◽  
Bradley H Crotty ◽  
Hollis B Kowoloff ◽  
Charles Safran ◽  
Warner V Slack
Keyword(s):  
Family History ◽  
Electronic Health Record ◽  
Medical History ◽  
Patient Experience ◽  
Family Health ◽  
Health Record ◽  
Patient Portal ◽  
Health History ◽  
Family Medical History ◽  
The Family

Abstract Objective The collection and use of a family health history are important for assessing the patient’s risk of disease, but history taking is often impeded by practical barriers in the office. Provision for patient-computer dialogue, linked with the electronic health record, may enable patients to contribute their history while bypassing these barriers. We sought to assess the patient experience using such a tool. Materials and Methods We linked the family history module of a computer-based medical history to the patient portal of a large academic health system. The interview consisted of 39 primary questions with a predetermined high test-retest reliability. Patients’ results were structured and summarized, and available within their electronic health record. Patients optionally completed a survey about their experience. We inductively analyzed free-text responses collected between 2014 and 2016. Results Among 97 781 patient portal users, 9562 patients accessed and 4223 patients completed the family medical history interview. Of these patients, 1451 completed our survey. Main themes that were identified included (1) patient empowerment, (2) anticipated value, (3) validity concerns, (4) privacy concerns, and (5) reflections on patient-computer dialogue. Patients also provided suggestions for the improvement of future family history tools. Discussion Patients providing their family health information is an example of collaborative electronic work with clinicians and was seen as valuable by those who participated. Concerns related to contextual information and uncertainty need to be addressed. Conclusions Patient-computer dialogue to collect family medical history empowered patients and added perceived value and efficiency to the patient experience of care.

scholarly journals Comparing Electronic Health Record Portals to Obtain Patient-Entered Family Health History in Primary Care

2013 ◽  
Vol 28 (12) ◽  
pp. 1558-1564 ◽  
Author(s):  
Michael F. Murray ◽  
Monica A. Giovanni ◽  
Elissa Klinger ◽  
Elise George ◽  
Lucas Marinacci ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Family Health ◽  
Family Health History ◽  
Health Record ◽  
Health History ◽  
Electronic Health

scholarly journals Improving Utilization of the Family History in the Electronic Health Record

2016 ◽  
Vol 49 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Kathleen T. Hickey ◽  
Maria C. Katapodi ◽  
Bernice Coleman ◽  
Karin Reuter-Rice ◽  
Angela R. Starkweather
Keyword(s):  
Family History ◽  
Electronic Health Record ◽  
Health Record ◽  
The Family ◽  
Electronic Health

scholarly journals How should we construct psychiatric family history scores? A comparison of alternative approaches from the Dunedin Family Health History Study

2008 ◽  
Vol 38 (12) ◽  
pp. 1793-1802 ◽  
Author(s):  
B. J. Milne ◽  
T. E. Moffitt ◽  
R. Crump ◽  
R. Poulton ◽  
M. Rutter ◽  
...  
Keyword(s):  
Family History ◽  
Genetic Research ◽  
Family Health ◽  
Significant Family History ◽  
First Degree Relatives ◽  
Health History ◽  
Public Health Screening ◽  
The Family ◽  
History Of ◽  
Strength Of Association

BackgroundThere is increased interest in assessing the family history of psychiatric disorders for both genetic research and public health screening. It is unclear how best to combine family history reports into an overall score. We compare the predictive validity of different family history scores.MethodProbands from the Dunedin Study (n=981, 51% male) had their family history assessed for nine different conditions. We computed four family history scores for each disorder: (1) a simple dichotomous categorization of whether or not probands had any disordered first-degree relatives; (2) the observed number of disordered first-degree relatives; (3) the proportion of first-degree relatives who are disordered; and (4) Reed's score, which expressed the observed number of disordered first-degree relatives in terms of the number expected given the age and sex of each relative. We compared the strength of association between each family history score and probands' disorder outcome.ResultsEach score produced significant family history associations for all disorders. The scores that took account of the number of disordered relatives within families (i.e. the observed, proportion, and Reed's scores) produced significantly stronger associations than the dichotomous score for conduct disorder, alcohol dependence and smoking. Taking account of family size (i.e. using the proportion or Reed's score) produced stronger family history associations depending on the prevalence of the disorder among family members.ConclusionsDichotomous family history scores can be improved upon by considering the number of disordered relatives in a family and the population prevalence of the disorder.

scholarly journals How is family health history discussed in routine primary healthcare? A qualitative study of archived family doctor consultations

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e049058
Author(s):  
Sara Filoche ◽  
Maria H Stubbe ◽  
Rebecca Grainger ◽  
Bridget Robson ◽  
Karyn Paringatai ◽  
...  
Keyword(s):  
Family History ◽  
Family Relationships ◽  
Family Doctor ◽  
Secondary Analysis ◽  
Family Health ◽  
Family Health History ◽  
Breast Cancer Patients ◽  
Health History ◽  
The Family ◽  
Genetic Medicine

ObjectivesFamily health history underpins genetic medicine. Our study aimed to explore language and patterns of communication relating to family health history observed in interactions between general practitioners (GPs) and their patients within routine primary care consultations.DesignSecondary analysis of patient and GP routine consultation data (n=252).ParticipantsConsultations that included ‘family health history’ were eligible for inclusion (n=58).Primary outcomesA qualitative inductive analysis of the interactions from consultation transcripts.Results46/58 conversations about family health history were initiated by the GP. Most discussions around family history lasted for between approximately 1 to 2 min. Patients were invited to share family health history through one of two ways: non-specific enquiry (eg, by asking the patient about ‘anything that runs in the family’); or specific enquiry where they were asked if they had a ‘strong family history’ in relation to a particular condition, for example, breast cancer. Patients often responded to either approach with a simple no, but fuller negative responses also occurred regularly and typically included an account of some kind (eg, explaining family relationships/dynamics which impeded or prevented the accessibility of information).ConclusionsFamily health history is regarded as a genetic test and is embedded in the sociocultural norms of the patient from whom information is being sought. Our findings highlight that it is more complex than asking simply if ‘anything’ runs in the family. As the collection of family health history is expected to be more routine, it will be important to also consider it from sociocultural perspectives in order to help mitigate any inequities in how family history is collected, and therefore used (or not) in a person’s healthcare. Orientating an enquiry away from ‘anything’ and asking more specific details about particular conditions may help facilitate the dialogue.

scholarly journals The Value of Family History in Diagnosing Primary Immunodeficiency Disorders

2014 ◽  
Vol 2014 ◽  
pp. 1-3
Author(s):  
Mohamed A. Hendaus ◽  
Ahmad Alhammadi ◽  
Mehdi M. Adeli ◽  
Fawzia Al-Yafei
Keyword(s):  
Family History ◽  
Medical History ◽  
Primary Immunodeficiency ◽  
Morbidity And Mortality ◽  
High Rate ◽  
Omenn Syndrome ◽  
Primary Immunodeficiency Disorders ◽  
Family Medical History ◽  
The Family

Eliciting proper family medical history is critical in decreasing morbidity and mortality in patients with primary immunodeficiency disorders (PIDs). Communities with a common practice of consanguinity have a high rate of PIDs. We are presenting 2 cases where digging deeply into the family medical history resulted in the diagnosis of Omenn syndrome, a possibly fatal entity if not managed in a reasonable period.

scholarly journals Validation of a Novel Electronic Health Record Patient Portal Advance Care Planning Delivery System

2018 ◽  
Vol 20 (6) ◽  
pp. e208 ◽  
Author(s):  
Seuli Bose-Brill ◽  
Michelle Feeney ◽  
Laura Prater ◽  
Laura Miles ◽  
Angela Corbett ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Delivery System ◽  
Advance Care Planning ◽  
Health Record ◽  
Patient Portal ◽  
Care Planning ◽  
Advance Care ◽  
Electronic Health

Electronic Health Record System using Blockchain

2019 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Sangeetha R ◽  
Harshini B ◽  
Shanmugapriya A ◽  
Rajagopal T.K.P.
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Family Health ◽  
Health Record ◽  
Medical Organization ◽  
Record System ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health

This paper deals with the Electronic Health Records for storing information of the patient which consist of the medical reports. Electronic Health Records (EHRs) are entirely controlled by Hospitals instead of patients, which complicates seeking medical advices from different hospitals. In the existing system of storing details of the patients are very dependent on the servers of the organization. In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data. Each block consists of the data which is encrypted data. Electronic Health Record (EHR) systems record health-related information on an individual so that it can be consulted by clinicians or staff for patient care. The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan. These records for not only useful for the consultation but also for creation of historic family health information tree that keeps track of genetic health issues and diseases it can also be used for any health service with the authorization from both the patient and medical organization.

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