Dataset Information

Exploring real-time patient decision-making for acute care: a pilot study.

ABSTRACT:

Introduction

Research has described emergency department (ED) use patterns in detail. However, evidence is lacking on how, at the time a decision is made, patients decide if healthcare is required or where to seek care.

Methods

Using community-based participatory research methods, we conducted a mixed-methods descriptive pilot study. Due to the exploratory, hypothesis-generating nature of this research, we did not perform power calculations, and financial constraints only allowed for 20 participants. Hypothetical vignettes for the 10 most common low acuity primary care complaints (cough, sore throat, back pain, etc.) were texted to patients twice daily over six weeks, none designed to influence the patient's decision to seek care. We conducted focus groups to gain contextual information about participant decision-making. Descriptive statistics summarized responses to texts for each scenario. Qualitative analysis of open-ended text message responses and focus group discussions identified themes associated with decision-making for acute care needs.

Results

We received text survey responses from 18/20 recruited participants who responded to 72% (1092/1512) of the texted vignettes. In 48% of the vignettes, participants reported they would do nothing, for 34% of the vignettes participants reported they would seek care with a primary care provider, and 18% of responses reported they would seek ED care. Participants were not more likely to visit an ED during "off-hours." Our qualitative findings showed: 1) patients don't understand when care is needed; 2) patients don't understand where they should seek care.

Conclusion

Participants were unclear when or where to seek care for common acute health problems, suggesting a need for patient education. Similar research is necessary in different populations and regarding the role of urgent care in acute care delivery.

SUBMITTER: Sharp AL

PROVIDER: S-EPMC4162728 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Publications

Exploring real-time patient decision-making for acute care: a pilot study.

Sharp Adam L AL Chang Tammy T Cobb Enesha E Gossa Weyinshet W Rowe Zachary Z Kohatsu Lauren L Heisler Michele M

The western journal of emergency medicine 20140901 6

<h4>Introduction</h4>Research has described emergency department (ED) use patterns in detail. However, evidence is lacking on how, at the time a decision is made, patients decide if healthcare is required or where to seek care.<h4>Methods</h4>Using community-based participatory research methods, we conducted a mixed-methods descriptive pilot study. Due to the exploratory, hypothesis-generating nature of this research, we did not perform power calculations, and financial constraints only allowed ...[more]

PMID: 25247042

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Project description:In the event of a new infectious disease outbreak, mathematical and simulation models are commonly used to inform policy by evaluating which control strategies will minimize the impact of the epidemic. In the early stages of such outbreaks, substantial parameter uncertainty may limit the ability of models to provide accurate predictions, and policymakers do not have the luxury of waiting for data to alleviate this state of uncertainty. For policymakers, however, it is the selection of the optimal control intervention in the face of uncertainty, rather than accuracy of model predictions, that is the measure of success that counts. We simulate the process of real-time decision-making by fitting an epidemic model to observed, spatially-explicit, infection data at weekly intervals throughout two historical outbreaks of foot-and-mouth disease, UK in 2001 and Miyazaki, Japan in 2010, and compare forward simulations of the impact of switching to an alternative control intervention at the time point in question. These are compared to policy recommendations generated in hindsight using data from the entire outbreak, thereby comparing the best we could have done at the time with the best we could have done in retrospect. Our results show that the control policy that would have been chosen using all the data is also identified from an early stage in an outbreak using only the available data, despite high variability in projections of epidemic size. Critically, we find that it is an improved understanding of the locations of infected farms, rather than improved estimates of transmission parameters, that drives improved prediction of the relative performance of control interventions. However, the ability to estimate undetected infectious premises is a function of uncertainty in the transmission parameters. Here, we demonstrate the need for both real-time model fitting and generating projections to evaluate alternative control interventions throughout an outbreak. Our results highlight the use of using models at outbreak onset to inform policy and the importance of state-dependent interventions that adapt in response to additional information throughout an outbreak.

Project description:BackgroundStrabismus is a complex disease that has various treatment approaches each with its own advantages and drawbacks. In this context, shared decisions making (SDM) is a communication process with the provider sharing all the relevant treatment alternatives, all the benefits, and risks of each procedure, while the patient shares all the preferences and values regarding his/her choices. In that way, SDM is a bidirectional process that goes beyond the typical informed consent. Therefore, it is known a little of the extent to which SDM influences the satisfaction with the treatment outcome along with strabismus patients. To study this correlation, an SDM-Q-9 questionnaire was provided within surgical consultations where treatment decisions were made; the SDM-Q-9 aims to assess the relationship between the post-operative patient's satisfaction and their SMD score.MethodsThe study is considered a prospective observational pilot study. Eligible patients were adult patients diagnosed with strabismus, who had multiple treatment options, were given at the right of choice without being driven into a physician's preference. Ninety-three strabismus patients were asked to fill out the SDM-Q-9 questionnaire related to their perception of SDM during the entire period of strabismus treatment. After the treatment, patients were asked to rate their satisfaction level with the surgical outcome as excellent, good, fair, and poor. Descriptive statistics and the linear regression statistical tests (Spearman, Mann Whitney U, and Kriskal-Wallis) were used as analysis tools.ResultsThe average age of the participants was 24, where 50.6% were women. The mean SDM-Q-9 score among patients was 32 (IQR = 3). The postoperative patient satisfaction was rated as being excellent by 16 (17.2%) patients, good by 38 (40.9%), fair by 32 (34.4%), and poor by 7 patients (7.5%). Data analysis by linear regression statistical tests showed a positive correlation between the SDM-Q-9 score and the patient satisfaction related to the surgery outcome (B = 0.005, p < 0.001). Criteria in assessing patients' satisfaction were age, gender, and strabismus type. A positive correlation between SDM and real satisfaction (r = 0.834, p < 0.01) was found with age, and no significant relationship was found while taking into consideration the responder's gender and the strabismus type.ConclusionsAssessing patient satisfaction after choosing a treatment for strabismus method helped us evaluate the gaps in constructive dialogue that would lead to a positive outcome for both patient and clinician. The correlation between the SDM process and the patients' satisfaction with surgery outcome, adjusted by age, has been established. These findings can serve as a springboard to further communicative improvements related to the SDM process and between patients and physicians, thereby consequently leading to patients' satisfaction raise in strabismus care. The study underlines the importance of further analysis and validation of on-ground interactions among the adolescent and adult patients and the clinicians across the strabismus management trajectory. A multicentral study and its validation will follow.

Project description:BackgroundEnhanced communication with health care providers (HCPs) can improve symptom management and health-related quality of life (HRQoL) for patients with chronic health conditions. Access to appropriate communication venues is needed to improve communication, however. As such, digital communication interventions mediated by patient portals carry the potential to support patient-provider communication and interaction and through this, also facilitate shared decision-making (SDM). The InvolveMe intervention was designed to provide patients with the opportunity to communicate symptoms and informational needs prior to consultation via digital assessment, including prioritizing what is most important to discuss with their HCPs, as well as to interact with HCPs through secure messages between outpatient visits.ObjectiveThe aim of this study was to assess the feasibility of the InvolveMe intervention by investigating acceptability, demand (ie, system use), and limited efficacy.MethodsThe study was designed as a single-arm, pre-post feasibility study combining quantitative and qualitative methods for data collection. Patients from an endocrine outpatient clinic were invited to use the InvolveMe intervention for 3 months, and HCPs administering InvolveMe were invited to participate in a focus group. Guided by descriptions of how to design feasibility studies by Bowen et al, feasibility was tested by exploring (1) acceptability, using data collected during recruitment from patient participants and nonparticipants (ie, declined to participate or did not meet study requirements), HCP experiences with recruitment, and the System Usability Scale (SUS); (2) demand via exploration of system use through extraction of system log data and HCP experiences with system use; and (3) limited efficacy testing, via exploration of potential effects from the Short-Form Health Survey (RAND 36), Hospital Anxiety and Depression Scale, and Health Literacy Questionnaire.ResultsPatient participants (N=23) were a median 54 (range 26-78) years old and primarily male (14/23, 61%). Nonparticipants (N=16) were a median 73 (range 55-80) years old and primarily male (12/16, 75%). The average SUS score was 72.2, indicating good system usability. Assessments were completed by 8 participants from home prior to outpatient visits. The assessments entailed various bodily symptoms and needs for information. Participants sent 17 secure messages related to patient administrative matters, symptoms, and challenges. Focus group participants (N=4) were all female and registered nurses. Data were analyzed in 2 predefined themes: Acceptability and Demand. Acceptability included the subthemes intervention attractiveness and intervention suitability. Demand included the subthemes elements of SDM and intervention challenges and opportunities. All patient participants completed outcome measures at baseline, and 19 (19/23, 83%) completed outcome measures at 3 months. These preliminary efficacy findings were mixed and inconclusive.ConclusionsThe study design provided findings from both patient and HCP perspectives and supported feasibility of the InvolveMe intervention. The investigation of acceptability and demand supported the potential for remote SDM mediated by patient portals using assessments and secure messages.Trial registrationClinicalTrials.gov NCT NCT04218721; https://www.clinicaltrials.gov/ct2/show/NCT04218721.

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Dataset Information

Exploring real-time patient decision-making for acute care: a pilot study.

Introduction

Methods

Results

Conclusion

Publications

Exploring real-time patient decision-making for acute care: a pilot study.

Similar Datasets

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