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1.
Stud Health Technol Inform ; 315: 217-222, 2024 Jul 24.
Artículo en Inglés | MEDLINE | ID: mdl-39049256

RESUMEN

Nurses continue to face challenges in leading health information technology innovations such as Artificial Intelligence (AI). There is an acknowledged need to explore the attitude of nurses towards AI and nurses' acceptance of AI in clinical settings. We sought to address this gap in knowledge about the perceptions of AI by nursing-related professionals in their work and as a content area in the education of nursing students. Norwegian nurses and healthcare personnel interested in the topic met in a seminar in Oslo in 2023 to explore their perspectives on AI. Following a lecture on AI, audience members offered their insights in a recorded discussion. Data analysis consisted of inductive coding of concepts in the transcribed recording. Three major themes emerged: Expectations, Identified needs and related recommendations; and Policy to guard safety; as well as recommendations new to the literature.


Asunto(s)
Inteligencia Artificial , Actitud del Personal de Salud , Noruega , Informática Aplicada a la Enfermería , Humanos , Actitud hacia los Computadores
2.
Stud Health Technol Inform ; 315: 284-289, 2024 Jul 24.
Artículo en Inglés | MEDLINE | ID: mdl-39049269

RESUMEN

A more complete conceptual model of the social determinants of health (SDOH) screening and referral process is needed to identify effective interventions to address unmet social needs that impact health outcomes. The objective was to develop an evidence-based, complex, multi-factorial model that makes explicit the behaviors and experiences of both patients and the care team (factors) who use an SDOH platform to facilitate patient connections to community resources. The resulting model organized 88 factors among five main stages in the process and among health outcomes. Factors were grouped into eight categories among person, system, and organization levels. Most factors were related to the screening process, with sparse factors related to referral completion. The resulting model is offered as an initial step toward the development of a simulation model to assess interventions before implementation in real-world settings.


Asunto(s)
Tamizaje Masivo , Derivación y Consulta , Determinantes Sociales de la Salud , Humanos , Simulación por Computador , Práctica Clínica Basada en la Evidencia
3.
J Am Med Dir Assoc ; 23(10): 1642-1647, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-35931136

RESUMEN

OBJECTIVES: This study explored the association between the timing of the first home health care nursing visits (start-of-care visit) and 30-day rehospitalization or emergency department (ED) visits among patients discharged from hospitals. DESIGN: Our cross-sectional study used data from 1 large, urban home health care agency in the northeastern United States. SETTING/PARTICIPANTS: We analyzed data for 49,141 home health care episodes pertaining to 45,390 unique patients who were admitted to the agency following hospital discharge during 2019. METHODS: We conducted multivariate logistic regression analyses to examine the association between start-of-care delays and 30-day hospitalizations and ED visits, adjusting for patients' age, race/ethnicity, gender, insurance type, and clinical and functional status. We defined delays in start-of-care as a first nursing home health care visit that occurred more than 2 full days after the hospital discharge date. RESULTS: During the study period, we identified 16,251 start-of-care delays (34% of home health care episodes), with 14% of episodes resulting in 30-day rehospitalization and ED visits. Delayed episodes had 12% higher odds of rehospitalization or ED visit (OR 1.12; 95% CI: 1.06-1.18) compared with episodes with timely care. CONCLUSIONS AND IMPLICATIONS: The findings suggest that timely start-of-care home health care nursing visit is associated with reduced rehospitalization and ED use among patients discharged from hospitals. With more than 6 million patients who receive home health care services across the United States, there are significant opportunities to improve timely care delivery to patients and improve clinical outcomes.


Asunto(s)
Cuidados de Enfermería en el Hogar , Alta del Paciente , Estudios Transversales , Servicio de Urgencia en Hospital , Hospitales , Humanos , Readmisión del Paciente , Estudios Retrospectivos , Estados Unidos
4.
Healthcare (Basel) ; 10(7)2022 Jul 13.
Artículo en Inglés | MEDLINE | ID: mdl-35885822

RESUMEN

In a future where home health care is no longer an information silo, patient information will be communicated along transitions in care to improve care. Evidence-based practice in the United States supports home health care patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. We sought to identify a parsimonious set of home health care data to be communicated to primary care for the post-hospitalization visit. Anticipating electronic dataset communication, we investigated the completeness of the international reference terminology, Logical Observation Identifiers Names and Codes (LOINC), for coverage of the data to be communicated. We conducted deductive qualitative analysis in three steps: (1) identify home health care data available for the visit by mapping home health care to the information needed for the visit; (2) reduce the resulting home health care data set to a parsimonious set clinicians wanted for the post-hospitalization visit by eliciting primary care clinician input; and (3) map the parsimonious dataset to LOINC and assess LOINC completeness. Our study reduced the number of standardized home health care assessment questions by 40% to a parsimonious set of 33 concepts that primary care team physicians wanted for the post-hospitalization visit. Findings indicate all home health care concepts in the parsimonious dataset mapped to the information needed for the post-hospitalization visit, and 84% of the home health care concepts mapped to a LOINC term. The results indicate data flow of parsimonious home health care dataset to primary care for the post-hospitalization visit is possible using existing LOINC codes, and would require adding some codes to LOINC for communication of a complete parsimonious data set.

5.
JMIR Nurs ; 4(4): e31038, 2021 Dec 30.
Artículo en Inglés | MEDLINE | ID: mdl-34967749

RESUMEN

BACKGROUND: Delayed start-of-care nursing visits in home health care (HHC) can result in negative outcomes, such as hospitalization. No previous studies have investigated why start-of-care HHC nursing visits are delayed, in part because most reasons for delayed visits are documented in free-text HHC nursing notes. OBJECTIVE: The aims of this study were to (1) develop and test a natural language processing (NLP) algorithm that automatically identifies reasons for delayed visits in HHC free-text clinical notes and (2) describe reasons for delayed visits in a large patient sample. METHODS: This study was conducted at the Visiting Nurse Service of New York (VNSNY). We examined data available at the VNSNY on all new episodes of care started in 2019 (N=48,497). An NLP algorithm was developed and tested to automatically identify and classify reasons for delayed visits. RESULTS: The performance of the NLP algorithm was 0.8, 0.75, and 0.77 for precision, recall, and F-score, respectively. A total of one-third of HHC episodes (n=16,244) had delayed start-of-care HHC nursing visits. The most prevalent identified category of reasons for delayed start-of-care nursing visits was no answer at the door or phone (3728/8051, 46.3%), followed by patient/family request to postpone or refuse some HHC services (n=2858, 35.5%), and administrative or scheduling issues (n=1465, 18.2%). In 40% (n=16,244) of HHC episodes, 2 or more reasons were documented. CONCLUSIONS: To avoid critical delays in start-of-care nursing visits, HHC organizations might examine and improve ways to effectively address the reasons for delayed visits, using effective interventions, such as educating patients or caregivers on the importance of a timely nursing visit and improving patients' intake procedures.

6.
Comput Inform Nurs ; 39(11): 813-820, 2021 Jun 10.
Artículo en Inglés | MEDLINE | ID: mdl-34747897

RESUMEN

The Improving Medicare Post-Acute Care Transformation Act, which mandates electronic sharing of standardized patient data by post-acute care clinical settings, will likely spur further health information technology adoption and evaluation. To support evaluation, the study objective was to clarify components of an evidence-based health information technology evaluation framework, Health Information Technology Reference-based Evaluation Framework, by using the framework in home healthcare and incorporating a sociotechnical perspective in the health information technology evaluation. With 36 observations among three diverse home healthcare agencies, researchers conducted a recorded think-aloud process as nurses documented the home healthcare admission in the EHR. Thematic analysis revealed 15 themes that provided clarification for almost one-third of Health Information Technology Reference-based Evaluation Framework components and added a new concept. All themes reflected a sociotechnical perspective. The new theme added to the Health Information Technology Reference-based Evaluation Framework reflected the sociotechnical perspective: routine use. We anticipate the enhanced Health Information Technology Reference-based Evaluation Framework to be used by evaluators from diverse disciplines, to further facilitate context-dependent health information technology adoption in post-acute care settings.


Asunto(s)
Agencias de Atención a Domicilio , Servicios de Atención de Salud a Domicilio , Informática Médica , Anciano , Registros Electrónicos de Salud , Humanos , Medicare , Atención Subaguda , Estados Unidos
7.
Health Informatics J ; 27(3): 14604582211043914, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34488478

RESUMEN

Mobile health (mHealth)-hand-held technologies to address health priorities-has significant potential to answer the growing need for patient chronic illness self-care interventions. Previous reviews examined mHealth effect on patient outcomes. None have a detailed examination and mapping of specific technology features to targeted health outcomes. Examine recent chronic illness mHealth self-care interventions; map the study descriptors, mHealth technology features, and study outcomes. (1) Information extracted from PubMed, CINAHL, and Web of Science databases for clinical outcomes studies published 2010-January 2020; and (2) realist synthesis techniques for within and across case analysis. From 652 records, 32 studies were examined. Median study duration was 19.5 weeks. Median sample size was 62 participants. About 47% of interventions used solely patient input versus digital input; 50% sent tailored messages versus generic messages; 22% augmented the intervention with human interaction. Studies with positive clinical outcomes had higher use of digital input. Software descriptions were lacking. Most studies built interventions: only two incorporated target audience participation in development. We recommend researchers provide sufficient system description detail. Future research includes: data input characteristics; impact of augmentation with human interaction on outcomes; and development decisions.


Asunto(s)
Autocuidado , Telemedicina , Tecnología Biomédica , Enfermedad Crónica , Humanos , Tecnología
8.
Home Health Care Manag Pract ; 33(3): 193-201, 2021 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-34267494

RESUMEN

During home health care (HHC) admissions, nurses provide input into decisions regarding the skilled nursing visit frequency and episode duration. This important clinical decision can impact patient outcomes including hospitalization. Episode duration has recently gained greater importance due to the Centers for Medicare and Medicaid Services (CMS) decrease in reimbursable episode length from 60 to 30 days. We examined admissions nurses' visit pattern decision-making and whether it is influenced by documentation available before and during the first home visit, agency standards, other disciplines being scheduled, and electronic health record (EHR) use. This observational mixed-methods study included admission document analysis, structured interviews, and a think-aloud protocol with 18 nurses from 3 diverse HHC agencies (6 at each) admitting 2 patients each (36 patients). Findings show that prior to entering the home, nurses had an information deficit; they either did not predict the patient's visit frequency and episode duration or stated them based on experience with similar patients. Following patient interaction in the home, nurses were able to make this decision. Completion of documentation using the EHR did not appear to influence visit pattern decisions. Patient condition and insurance restrictions were influential on both frequency and duration. Given the information deficit at admission, and the delay in visit pattern decision making, we offer health information technology recommendations on electronic communication of structured information, and EHR documentation and decision support.

9.
J Am Med Dir Assoc ; 22(11): 2358-2365.e3, 2021 11.
Artículo en Inglés | MEDLINE | ID: mdl-33844990

RESUMEN

OBJECTIVES: Home health care patients have critical needs requiring timely care following hospital discharge. Although Medicare requires timely start-of-care nursing visits, a significant portion of home health care patients wait longer than 2 days for the first visit. No previous studies investigated the pattern of start-of-care visits or factors associated with their timing. This study's purpose was to examine variation in timing of start-of-care visits and characterize patients with visits later than 2 days postdischarge. DESIGN: Retrospective cohort study. SETTING/PARTICIPANTS: Patients admitted to a large, Northeastern US, urban home health care organization during 2019. The study included 48,497 home care episodes for 45,390 individual patients. MEASUREMENT: We calculated time to start of care from hospital discharge for 2 patient groups: those seen within 2 days vs those seen >2 days postdischarge. We examined patient factors, hospital discharge factors, and timing of start of care using multivariate logistic regression. RESULTS: Of 48,497 episodes, 16,251 (33.5%) had a start-of-care nursing visit >2 days after discharge. Increased odds of this time frame were associated with being black or Hispanic and having solely Medicaid insurance. Odds were highest for patients discharged on Fridays, Saturdays, and Mondays. Factors associated with visits within 2 days included surgical wound presence, urinary catheter, pain, 5 or more medications, and intravenous or infusion therapies at home. CONCLUSIONS AND IMPLICATIONS: Findings provide the first publication of clinical and demographic characteristics associated with home health care start-of-care timing and its variation. Further examination is needed, and adjustments to staff scheduling and improved information transfer are 2 suggested interventions to decrease variation.


Asunto(s)
Cuidados Posteriores , Servicios de Atención de Salud a Domicilio , Anciano , Humanos , Medicare , Alta del Paciente , Estudios Retrospectivos , Estados Unidos
11.
JMIR Res Protoc ; 10(1): e20184, 2021 Jan 22.
Artículo en Inglés | MEDLINE | ID: mdl-33480855

RESUMEN

BACKGROUND: Homecare settings across the United States provide care to more than 5 million patients every year. About one in five homecare patients are rehospitalized during the homecare episode, with up to two-thirds of these rehospitalizations occurring within the first 2 weeks of services. Timely allocation of homecare services might prevent a significant portion of these rehospitalizations. The first homecare nursing visit is one of the most critical steps of the homecare episode. This visit includes an assessment of the patient's capacity for self-care, medication reconciliation, an examination of the home environment, and a discussion regarding whether a caregiver is present. Hence, appropriate timing of the first visit is crucial, especially for patients with urgent health care needs. However, nurses often have limited and inaccurate information about incoming patients, and patient priority decisions vary significantly between nurses. We developed an innovative decision support tool called Priority for the First Nursing Visit Tool (PREVENT) to assist nurses in prioritizing patients in need of immediate first homecare nursing visits. OBJECTIVE: This study aims to evaluate the effectiveness of the PREVENT tool on process and patient outcomes and to examine the reach, adoption, and implementation of PREVENT. METHODS: Employing a pre-post design, survival analysis, and logistic regression with propensity score matching analysis, we will test the following hypotheses: compared with not using the tool in the preintervention phase, when homecare clinicians use the PREVENT tool, high-risk patients in the intervention phase will (1) receive more timely first homecare visits and (2) have decreased incidence of rehospitalization and have decreased emergency department use within 60 days. Reach, adoption, and implementation will be assessed using mixed methods including homecare admission staff interviews, think-aloud observations, and analysis of staffing and other relevant data. RESULTS: The study research protocol was approved by the institutional review board in October 2019. PREVENT is currently being integrated into the electronic health records at the participating study sites. Data collection is planned to start in early 2021. CONCLUSIONS: Mixed methods will enable us to gain an in-depth understanding of the complex socio-technological aspects of the hospital to homecare transition. The results have the potential to (1) influence the standardization and individualization of nurse decision making through the use of cutting-edge technology and (2) improve patient outcomes in the understudied homecare setting. TRIAL REGISTRATION: ClinicalTrials.gov NCT04136951; https://clinicaltrials.gov/ct2/show/NCT04136951. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/20184.

12.
AMIA Annu Symp Proc ; 2021: 295-304, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-35308934

RESUMEN

Data sharing is necessary to address communication deficits along the transitions of care among community settings. Evidence-based practice supports home healthcare (HHC) patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. A small subset of patient data collected at HHC admission is mandated to be transmitted to primary care, predominantly by fax. Using qualitative analysis, we assessed completeness of the United States Core Data for Interoperability (USCDI) interoperability standard, as compared to the patient data collected by the primary care team (topics) and HHC (classes) during the initial visit; and offer interoperability recommendations. Findings indicate the USCDI does not cover 74% of the 19 faxed HHC classes that mapped to the primary care topics, and 95% of the 38 not-faxed HHC classes. We offer USCDI recommendations to address these interoperability gaps.


Asunto(s)
Servicios de Atención de Salud a Domicilio , Medicina , Comunicación , Humanos , Alta del Paciente , Estados Unidos
13.
Res Nurs Health ; 44(1): 47-59, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-32931601

RESUMEN

Self-management, or self-care, by individuals and/or families is a critical element in chronic illness management as more care shifts to the home setting. Mobile device-enhanced health care, or mHealth, is being touted as a means to support self-care. Previous mHealth reviews examined the effect of mHealth on patient outcomes, however, none used a theoretical lens to examine the interventions themselves. The aims of this integrative review were to examine recent (e.g., last 10 years) chronic illness mHealth empiric studies and (1) categorize self-care behaviors engaged in the intervention according to the Middle-Range Theory of Self-care of Chronic Illness, and (2) conduct an analysis of gaps in self-care theory domains and behaviors utilized. Methods included: (1) Best practice study identification, collection, and data extraction procedures and (2) realist synthesis techniques for within and across case analysis. From a pool of 652 records, 33 primarily North American clinical trials, published between 2010 and 2019 were examined. Most mHealth interventions used apps, clinician contact, and behavioral prompts with some wireless devices. Examination found self-care maintenance behaviors were supported in most (n = 30) trials whereas self-care monitoring (n = 12) and self-care management behaviors (n = 8) were less so. Few trials (n = 2) targeted all three domains. Investigation of specific behaviors uncovered an overexamination of physical activity and diet behaviors and an underexamination of equally important behaviors. By examining chronic illness mHealth interventions using a theoretical lens we have categorized current interventions, conducted a gap analysis uncovering areas for future study, and made recommendations to move the science forward.


Asunto(s)
Enfermedad Crónica/psicología , Tutoría/normas , Autocuidado/normas , Telemedicina/normas , Adulto , Anciano , Femenino , Humanos , Masculino , Tutoría/métodos , Persona de Mediana Edad , Autocuidado/métodos , Autocuidado/psicología
14.
J Am Med Dir Assoc ; 22(5): 1009-1014, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-32736995

RESUMEN

OBJECTIVES: Illustrate patterns of patient problem information received and documented across the home health care (HHC) admission process and offer practice, policy, and health information technology recommendations to improve information transfer. DESIGN: Observational field study. SETTING AND PARTICIPANTS: Three diverse HHC agencies using different commercial point-of-care electronic health records (EHRs). Six nurses per agency each admitted 2 patients (36 total). METHODS: Researchers observed the admission process and photographed documents and EHR screens across 3 phases: referral, assessment, and plan of care (POC). To create a standardized data set, we mapped terms within medical diagnoses, signs, symptoms, and Problems to 5 of the 42 Omaha System Problem Classification Scheme problem terms. This created 180 problem pattern cases (5 problem patterns per patient). RESULTS: Each pattern of problem information being present or absent was observed. In 52 cases (28.9%), a problem did not appear. In 36 cases (20%), the problem appeared in all 3 phases. In 46 cases (25.6%), the problem appeared in referral and/or assessment phases and not on the POC. Conversely, in 37 cases (20.5%), the problem appeared in referral or assessment phases and on the POC. In 9 cases (5%), the problem only appeared on the POC. Within the EHRs, there were no rationale fields to clarify including Problems or not and no problem status fields to identify active, resolved, or potential ones. CONCLUSIONS AND IMPLICATIONS: Diagnosis or problem information transferred from the referral source or gathered during an in-home assessment did not appear in the POC. Because of the EHR structure, clinicians could not identify inactive problem or problem priority. Documentation or mapping of a structured problem list using a standardized interprofessional terminology such as the Omaha System coupled with identification of rationale could support the documentation of problem status and priority and reduce information loss.


Asunto(s)
Agencias de Atención a Domicilio , Servicios de Atención de Salud a Domicilio , Documentación , Registros Electrónicos de Salud , Hospitalización , Humanos
15.
J Am Med Dir Assoc ; 22(5): 1003-1008, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-32723536

RESUMEN

OBJECTIVES: Characterize the work that home health care (HHC) admission nurses complete as part of the medication reconciliation tasks, explore the impact of shared electronic medication data (interoperability) from the referral source on medication reconciliation, and highlight opportunities to enhance medication reconciliation with respect to transition in care to HHC agencies. DESIGN: Observational field study. SETTINGS AND PARTICIPANTS: Three diverse Pennsylvania HHC agencies; each used different electronic health record systems with different interoperability characteristics. Six nurses per site admitted 2 patients each (36 patients total). METHODS: Researchers observed the admission process in the patient home and at the HHC agency. The nurses' tasks related to medication reconciliation were characterized by (1) number and change types (ie, medications dropped or added; changes to dose, frequency/administration time, or tablet types) made to the referrer medication list during and after the home visit, and (2) reasons that the nurse called the health provider (doctor, pharmacy) to resolve medication-related issues. Differences between interoperable and non-interoperable observations were explored. RESULTS: Polypharmacy (on average, study patients were taking more than 12 medications) and high-risk medications (on average, more than 8 per patient) were pervasive. For 91% of patients, the number of medications decreased between pre- and post-reconciliation medication lists; 41% of the medications required changes. Nurses using interoperable systems needed to make fewer changes than nurses using non-interoperable systems. In two-thirds of observations, the nurse called a provider. CONCLUSIONS AND IMPLICATIONS: Changes to the referrer medication list and calls to providers highlighted the nurses' effort to complete the medication reconciliation. Interoperability appeared to reduce the number of changes required, but did not eliminate changes or calls to providers. We highlight opportunities to enhance medication reconciliation with respect to transition in care to HHC agencies.


Asunto(s)
Agencias de Atención a Domicilio , Servicios de Atención de Salud a Domicilio , Humanos , Conciliación de Medicamentos , Pennsylvania , Polifarmacia
16.
J Am Med Inform Assoc ; 27(8): 1278-1286, 2020 08 01.
Artículo en Inglés | MEDLINE | ID: mdl-32909035

RESUMEN

OBJECTIVE: Patient transitions into home health care (HHC) often occur without the transfer of information needed for critical clinical decisions and the plan of care. Owing to a lack of universally implemented standards, there is wide variation in information transfer. We sought to characterize missing information at HHC admission. MATERIALS AND METHODS: We conducted a mixed methods study with 3 diverse HHC agencies. Focus groups with nurses at each agency identified what information supports patient care decisions at admission. Thirty-six in-home admissions with associated documentation review determined the available information. To inform information standards development for the HHC admission process, we compared the types of information desired and available to an international standard for transitions in care information, the Continuity of Care Document (CCD) enhanced with Office of the National Coordinator for Healthcare Information Technology summary terms (CCD/S). RESULTS: Three-quarters of the items from the focus groups mapped to the CCD/S. Regarding available information at admission, no observation included all CCD/S data items. While medication information was needed and often available for 4 important decisions, concepts related to patient medication self-management appeared in neither the CCD/S nor the admission documentation. DISCUSSION: The CCD/S mostly met HHC nurses' information needs and is recommended to begin to fill the current information gap. Electronic health record recommendations include use of a data standard: the CCD or the proposed, more parsimonious U.S. Core Data for Interoperability. CONCLUSIONS: Referral source and HHC agency adoption of data standards is recommended to support structured, consistent data and information sharing.


Asunto(s)
Exactitud de los Datos , Registros Electrónicos de Salud/normas , Cuidados de Enfermería en el Hogar , Informática Aplicada a la Enfermería/normas , Admisión del Paciente , Continuidad de la Atención al Paciente/normas , Grupos Focales , Agencias de Atención a Domicilio , Humanos , Estándares de Referencia
17.
Stud Health Technol Inform ; 264: 798-802, 2019 Aug 21.
Artículo en Inglés | MEDLINE | ID: mdl-31438034

RESUMEN

Home health care admission nurses need high quality patient information but that information is not uniformly available. Despite this challenge, these nurses must make four critical decisions at patient admission to construct the plan of care: (1) patient problems to address in the home health care episode; (2) patient medication management; (3) services in addition to skilled nursing; and (4) skilled nursing visit pattern. We observed 12 in-home admissions at a rural home health care agency and interviewed nurses before and after about these decisions. We analyzed content and quality of documents. To evaluate quality, for each decision we assessed concordance between documents. Interview responses provided context in the analysis. Across all admissions, documents and their contents were not uniformly present. Nurses rarely received visit pattern or medication management information. There was discordance in the number of patient problems among and between available documents and the plan of care. Electronic health record design recommendations include interoperability and structured, consistent, actionable information.


Asunto(s)
Agencias de Atención a Domicilio , Servicios de Atención de Salud a Domicilio , Registros Electrónicos de Salud , Hospitalización , Humanos , Gestión de la Información
18.
Stud Health Technol Inform ; 264: 803-807, 2019 Aug 21.
Artículo en Inglés | MEDLINE | ID: mdl-31438035

RESUMEN

In home health care, the patient problem list is an important component of the admission and care planning processes and determines the subsequent care received. We examined the information received from the referring facilities and its relationship with the final patient problem list generated at home health care admission. Researchers observed 12 admissions and collected available documents related to the admission and care planning process. Problems identified in documents provided to admission nurses (input documents) and in documents subsequently created by those nurses (output documents) were coded to form a standardized set of problem terms across the documents. Documents available, distribution of problems within the documents, and concordance between input and output documents were assessed. A varying number of the 17 unique problems found across the documents were distributed by document type. Patients were referred to home health care with more clinical problems than were documented in the output documents.


Asunto(s)
Servicios de Atención de Salud a Domicilio , Hospitalización , Humanos , Admisión del Paciente
19.
Comput Inform Nurs ; 37(1): 39-46, 2019 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-30074919

RESUMEN

Home care nurses have multiple goals at the patient admission visit. Electronic health records support some of these goals, including high-quality documentation, but nurses may not complete the electronic documentation at the point of care. To characterize admission nurses' practices at the point of care and lay the foundation for design recommendations, this study investigates admission nurses' documentation strategies with respect to entering electronic data and how nursing goals affect them. We conducted 10 observations of home care agency admissions with five admission nurses in rural Pennsylvania. We collected screenshots and recorded the admission process. We asked the nurses questions outside the point of care. We coded the nurses' strategies at the data-entry screen level. Using thematic analysis, we investigated the influence of nursing goals on documentation strategies. Subject matter experts reviewed our findings. Several goals affect nurses' documentation strategies: ensure data accuracy, reduce time in the patient's home, and prevent infection. Home care admission nurses distribute the electronic documentation temporally due to their goals. Nurses developed memory aids to support completion of the documentation after leaving the patients' homes. Design and training should support the distributed manner in which home care nurses document patient encounters.


Asunto(s)
Documentación/normas , Registros Electrónicos de Salud/normas , Objetivos , Cuidados de Enfermería en el Hogar/métodos , Sistemas de Atención de Punto , Adulto , Exactitud de los Datos , Femenino , Agencias de Atención a Domicilio , Humanos , Masculino , Persona de Mediana Edad
20.
Stud Health Technol Inform ; 250: 101-105, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29857398

RESUMEN

Adolescent sexual risk behavior (SRB), a major public health problem affects urban Black adolescent girls increasing their health disparities and risks for sexually transmitted infections. Collaborating with these adolescents, we designed a game for smartphones that incorporates elements of trauma-informed care and social cognitive theory to reduce SRB. Game researchers promote use of a comprehensive, multipurpose framework for development and evaluation of games for health applications. Our first game development step was framework selection and measurable health outcomes identification. Literature search identified two health game frameworks, both incorporating pedagogical theory, learning theory, and gaming requirements. Arnab used the IM + LM-GM framework to develop and implement a game in a school intervention program. Yusoff's framework was developed for use during game design. We investigated concordance and discordance between our SRB game design characteristics and each framework's components. Findings indicated Arnab's framework was sufficiently comprehensive to guide development of our game and outcome measure selection.


Asunto(s)
Conducta del Adolescente , Negro o Afroamericano , Conducta de Reducción del Riesgo , Conducta Sexual , Enfermedades de Transmisión Sexual/prevención & control , Adolescente , Femenino , Humanos , Asunción de Riesgos
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