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1.
J Pediatr Adolesc Gynecol ; 33(1): 39-44, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31513921

ABSTRACT

STUDY OBJECTIVE: Describe follow-up care patterns and continuation rates during the first 6 months after initiating a long-acting reversible contraceptive (LARC) device among adolescent and young adult women. DESIGN: Retrospective chart review among patients who had an intrauterine device (IUD) or subdermal implant placed between January 2015 and December 2016. SETTING: Urban adolescent specialty care clinic. PARTICIPANTS: Women ages 13-23 years. MAIN OUTCOME MEASURES: Follow-up encounters were defined as scheduled and unscheduled phone calls, outpatient clinic visits, or emergency department visits during the 6 months after device placement. Continuation was defined as not having the device removed or expelled during the 6 months after initiation. Frequencies were calculated, and logistic regression was used to determine predictors of follow-up encounters and continuation. RESULTS: Among the 177 patients, 180 LARC devices were placed. Most were 13-17 years of age (56%), non-Hispanic black (64%), publicly insured (57%), and had an IUD placed (57%). Most (86%) had 1 or more clinical encounters during the 6 months: 70% attended a scheduled encounter and 53% had an unscheduled encounter. Approximately half (45%) attended the scheduled 2-week office visit; only 6% attended the 6-month office visit. The 6-month LARC continuation rate was 92% (n = 166), with most discontinuations among IUD users (n = 12; 7%). CONCLUSION: LARC continuation rates were high in our study population. Most adolescent and young adult women have at least 1 follow-up encounter in the 6 months after LARC placement. Clinical practices should be prepared to address issues that arise during follow-up encounters, whether in person or by phone.


Subject(s)
Aftercare/statistics & numerical data , Contraceptive Devices, Female , Long-Acting Reversible Contraception/statistics & numerical data , Adolescent , Adult , Female , Humans , Long-Acting Reversible Contraception/methods , Patient Compliance , Retrospective Studies , Young Adult
2.
Crit Care Nurse ; 38(4): 46-54, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30068720

ABSTRACT

BACKGROUND: Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers. OBJECTIVE: To gain insight into clinical decision support systems-based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences. METHODS: An interactive survey to display a novel user interface for clinical decision support systems for sepsis was developed and then administered to members of the nursing staff. RESULTS: A total of 43 nurses participated in 2 interactive survey sessions. Participants preferred alerts that were based on an established treatment protocol, were presented in a pop-up format, and addressed the patient's clinical condition rather than regulatory guidelines. CONCLUSIONS: The results can be used in future research to optimize electronic medical record alerting and clinical practice workflow to support the efficient, effective, and timely delivery of high-quality care to patients with sepsis. The research also may advance the knowledge base of what information health care providers want and need to improve the health and safety of their patients.


Subject(s)
Clinical Alarms , Critical Care Nursing/methods , Environmental Monitoring/instrumentation , Environmental Monitoring/methods , Evidence-Based Nursing/methods , Sepsis/diagnosis , Sepsis/nursing , Adult , Aged , Attitude of Health Personnel , Decision Support Systems, Clinical , Female , Humans , Male , Middle Aged , Nursing Staff, Hospital/psychology , Young Adult
3.
Int J Med Inform ; 117: 19-25, 2018 09.
Article in English | MEDLINE | ID: mdl-30032961

ABSTRACT

OBJECTIVE: While general design heuristics exist for graphic user interfaces, it remains a challenge to facilitate the implementation of these heuristics for the design of clinical decision support. Our goals were to map a set of recommendations for clinical decision support design found in current literature to Jakob Nielsen's traditional usability heuristics and to suggest usability areas that need more investigation. MATERIALS AND METHODS: Using a modified nominal group process, the research team discussed, classified, and mapped recommendations, organized as interface, information, and interaction, to design heuristics. A previous narrative review identified 42 recommendations from the literature to define the design and functional characteristics that impact the performance of CDS in terms of provider preference, process of care, and patient outcomes. MAIN FINDINGS: We matched 20 out of 42 recommendations to heuristics. The mapping reveals gaps in both heuristics and recommendations, identifying a set of Nielsen's heuristics that are underrepresented in the literature and subsets of recommendations important to design not covered in Nielsen's heuristics. We attributed this, in part, to the evolution of technology since the inception of Nielsen's heuristics. The team created a new interaction heuristic: Integration into real-time workflow to consider the needs of the end-user in the clinical space. DISCUSSION: Clinical decision support has enabled clinicians to better address arising information needs; however there remains a lack of evidence-based guidelines in terms of functional and design requirements. CONCLUSION: Results from this review suggest that interaction design principles were not fully satisfied by the current literature of clinical decision support.


Subject(s)
Decision Making , Decision Support Systems, Clinical , Heuristics , Humans , Research , User-Computer Interface
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