Provider perspectives and reach of an evidence-based intervention in community services for toddlers.

LAY ABSTRACT: Expert recommendations for toddlers who are likely to develop autism include caregivers being actively involved in the services children receive. However, many services available in the community may not follow these recommendations. Evidence suggests that an intervention named Project ImPACT for Toddlers demonstrates positive parent and child outcomes for families in the community. Project ImPACT for Toddlers was designed specifically for toddlers by a group of parents, clinicians, researchers, and funders. It teaches parents of young children strategies to support their child's development in daily routines. This study reports the perspectives of early intervention providers who learned to use Project ImPACT for Toddlers on whether the intervention was a good fit for their practice and easy to use. The study also examines how many agencies are using Project ImPACT for Toddlers and how many families have received the intervention in the community. The goal of the study is to inform the continued use of Project ImPACT for Toddlers in the community and support offering the intervention in other regions. Participants include 38 community providers who participated in a training study of Project ImPACT for Toddlers and completed a survey and semi-structured interview after approximately 3 months of using Project ImPACT for Toddlers with families. Participants perceived the training model as acceptable and appropriate, and identified the group-based model of training, comprehensive materials, and agency support as strengths of the approach. Survey findings complemented the results from the interviews. Data indicate an increasing number of agencies and families accessing Project ImPACT for Toddlers. Efforts to expand evidence-based intervention in early intervention should continue to build upon the model used for Project ImPACT for Toddlers.

Get SET Early to Identify and Treatment Refer Autism Spectrum Disorder at 1 Year and Discover Factors That Influence Early Diagnosis.

OBJECTIVES: To examine the impact of a new approach, Get SET Early, on the rates of early autism spectrum disorder (ASD) detection and factors that influence the screen-evaluate-treat chain. STUDY DESIGN: After attending Get SET Early training, 203 pediatricians administered 57 603 total screens using the Communication and Symbolic Behavior Scales Infant-Toddler Checklist at 12-, 18-, and 24-month well-baby examinations, and parents designated presence or absence of concern. For screen-positive toddlers, pediatricians specified if the child was being referred for evaluation, and if not, why not. RESULTS: Collapsed across ages, toddlers were evaluated and referred for treatment at a median age of 19 months, and those screened at 12 months (59.4% of sample) by 15 months. Pediatricians referred one-third of screen-positive toddlers for evaluation, citing lack of confidence in the accuracy of screen-positive results as the primary reason for nonreferral. If a parent expressed concerns, referral probability doubled, and the rate of an ASD diagnosis increased by 37%. Of 897 toddlers evaluated, almost one-half were diagnosed as ASD, translating into an ASD prevalence of 1%. CONCLUSIONS: The Get SET Early model was effective at detecting ASD and initiating very early treatment. Results also underscored the need for change in early identification approaches to formally operationalize and incorporate pediatrician judgment and level of parent concern into the process.

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours.

INTRODUCTION: Identification of hospitalized patients with suddenly unfavorable clinical course remains challenging. Models using objective data elements from the electronic health record may miss important sources of information available to nurses. METHODS: We recorded nurses' perception of patient potential for deterioration in 2 medical and 2 surgical adult hospital units using a 5-point score at the start of the shift (the Worry Factor [WF]), and any time a change or an increase was noted by the nurse. Cases were evaluated by three reviewers. Intensive care unit (ICU) transfers were also tracked. RESULTS: 31 159 patient-shifts were recorded for 3185 unique patients during 3551 hospitalizations, with 169 total outcome events. Out of 492 potential deterioration events identified, 380 (77%) were confirmed by reviewers as true deterioration events. Likelihood ratios for ICU transfer were 17.8 (15.2-20.9) in the 24 hours following a WF > 2, and 40.4 (27.1-60.1) following a WF > 3. Accuracy rates were significantly higher in nurses with over a year of experience (68% vs 79%, P = 0.04). The area under the receiver operator characteristic curve (AUROC) was 0.92 for the prediction of ICU transfer within 24 hours. DISCUSSION: This is a higher accuracy than most published early warning scores. CONCLUSION: Nurses' pattern recognition and sense of worry can provide important information for the detection of acute physiological deterioration and should be included in the electronic medical record.

Honouring patient's resuscitation wishes: a multiphased effort to improve identification and documentation.

BACKGROUND: Do Not Resuscitate (DNR) orders are intended to safeguard patients' autonomy and prevent unwanted resuscitative care. However, DNR orders may be miscommunicated between health care providers, leading to errors honoring patient wishes during cardiac arrest events. This project focused on improving accuracy of DNR ordering processes for an academic, tertiary care hospital. INTERVENTION: We describe a performance improvement process and outcomes for implementation of an inpatient electronic ordering system that included an automated, decentralized printing process for resuscitation status armbands. Specific phases of this project involved: (a) identification of common factors contributing to errors honoring patients' resuscitation wishes, (b) design of an electronic ordering process, (c) design and integration of a new DNR armband and (d) evaluation of the impact of changes on communication accuracy. The primary outcome was percentage of patients with incorrect designation of resuscitation status on armbands compared to the active resuscitation order in the electronic medical record. RESULTS: After implementation of an electronic ordering process we identified that 37/196 (19%) patients had an armband that did not reflect their documented wishes versus 2/103 (2%) after integration of automated armband printing into the process (p<0.001). No armband discrepancies were found after the first two weeks of post-implementation audits. CONCLUSIONS: Design and implementation of an electronic ordering and armband labeling process reduced discrepancies between patient wishes and the armband labeling of the patient's desired DNR status. It is anticipated that these improvements will reduce the risk of adverse outcomes, and better align clinical processes with patient wishes.

SBAR: electronic handoff tool for noncomplicated procedural patients.

Awareness for patient safety led a team to develop an electronic handoff communication tool for noncomplicated routine patients. The structure of SBAR (situation, background, assessment, and recommendation) was used when transferring patients to and from the progressive care unit and cardiac laboratories. The electronic SBAR gave staff a reliable and standard way to provide a patient handoff.

Registered nurse initiation of a tobacco intervention protocol: leading quality care.

UNLABELLED: This article summarizes the development and implementation of a registered nurse-initiated protocol to intervene with hospitalized patients who are tobacco-dependent, may be experiencing tobacco withdrawal, and who are hospitalized in a smoke-free environment. RATIONALE: Tobacco use is the leading cause of preventable death in the United States. Hospitalization provides a unique teachable moment to treat tobacco dependence. Nurses can be effective in talking with patients about tobacco use. DEVELOPMENT: The clinical nurse specialist spheres of influence model and the role of the clinical nurse specialist were important for developing a tobacco use intervention protocol. A multi-disciplinary team created key objectives. These included identifying and assessing all patients who use tobacco, providing treatment to manage both withdrawal and address tobacco dependence, providing comfort to patients while hospitalized in a tobacco-free environment, encouraging lifelong cessation. The bedside admitting nurse was chosen as the pivotal professional to trigger tobacco use interventions. IMPLEMENTATION: A protocol was finalized that requires the bedside nurse to assess all patients for past and current tobacco use. The nurse is then prompted to (1) provide information about tobacco dependence and treatment, (2) ask if the patient wants nicotine patch therapy to address withdrawal and, (3) order a consult with a specialist at the patient's request. Extensive and varied educational programs were developed to support the implementation of the protocol. OUTCOMES: The tobacco use intervention protocol has become important for providing assessment and intervention to patients who use tobacco. It has increased the number of specialist consults provided to patients. It has increased compliance with quality reporting data by national quality accrediting bodies.

A nonresident cardiovascular inpatient service improves residents' experiences in an academic medical center: a new model to meet the challenges of the new millennium.

PURPOSE: Hospital practices in academic medical centers have fewer medical residents available to provide hospital care, necessitating alternative models for patient care. This article reports a new model for care of inpatients with cardiovascular diseases. METHOD: In 1998, a new nonresident cardiovascular patient care (Cardiology IV) service was implemented that used a team approach of staff attending cardiologists, cardiovascular fellows, midlevel practitioners (nurse practitioners and physician's assistants), and nurses to evaluate and treat patients. Standard dismissal information was collected for all patients dismissed in 1998 to compare diagnosis-related group, length of stay, in-hospital mortality, and 30-day readmission rates for Cardiology IV. These characteristics were compared with those for the remaining resident teaching services. Patients' satisfaction surveys from 1997 and 1998 were compared. Attending physicians' and internal medicine residents' satisfaction before and after the implementation of the new service was also compared. RESULTS: Staff and resident physicians were more satisfied with their hospital rotations after this intervention was introduced. Optimal patient care was maintained, and efficiency enhanced. Patients on Cardiology IV had a shorter length of stay compared with patients on the resident teaching service. CONCLUSIONS: This new hospital model has provided an alternative to patient care without the need for residents and protects education on the conventional teaching services. This model maintains optimal patient care and has resulted in enhanced satisfaction of attending staff and residents.