Dataset Information

Infants in Drug Withdrawal: A National Description of Nurse Workload, Infant Acuity, and Parental Needs.

ABSTRACT: Infants in drug withdrawal have complex physiological and behavioral states, requiring intensive nursing care. The study objectives were to describe acuity, parental needs, and nurse workload of infants in drug withdrawal compared with other infants. The design was cross-sectional and involved secondary nurse survey data from 6045 staff nurses from a national sample of 104 neonatal intensive care units. Nurses reported the care of 15 233 infants, 361 (2.4%) of whom were in drug withdrawal. Three-fourths of hospitals had at least 1 infant in drug withdrawal. In these hospitals, the mean number of infants in drug withdrawal was 4.7. Infant acuity was significantly higher among infants in drug withdrawal. Parents of infants in drug withdrawal required significantly more care to address complex social situations (51% vs 12%). The number of infants assigned to nurses with at least 1 infant in withdrawal (mean = 2.69) was significantly higher than typical (mean = 2.51). Given infant acuity and parental needs, policies legislating patient-to-nurse ratios should permit professional discretion on the number of patients to assign nurses caring for infants in drug withdrawal. Managers and charge nurses should consider the demands of caring for infants in drug withdrawal in assignment decisions and provide support and education.

SUBMITTER: Smith JG

PROVIDER: S-EPMC5788300 | biostudies-other | 2018 Jan/Mar

REPOSITORIES: biostudies-other

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Infants in Drug Withdrawal: A National Description of Nurse Workload, Infant Acuity, and Parental Needs.

Smith Jessica G JG Rogowski Jeannette A JA Schoenauer Kathryn M KM Lake Eileen T ET

The Journal of perinatal & neonatal nursing 20180101 1

Infants in drug withdrawal have complex physiological and behavioral states, requiring intensive nursing care. The study objectives were to describe acuity, parental needs, and nurse workload of infants in drug withdrawal compared with other infants. The design was cross-sectional and involved secondary nurse survey data from 6045 staff nurses from a national sample of 104 neonatal intensive care units. Nurses reported the care of 15 233 infants, 361 (2.4%) of whom were in drug withdrawal. Three ...[more]

PMID: 29373422

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Project description:BackgroundParents commonly experience anxiety, worry, and psychological distress in caring for newborn infants, particularly those born preterm. Web-based therapist services may offer greater accessibility and timely psychological support for parents but are nevertheless labor intensive due to their interactive nature. Chatbots that simulate humanlike conversations show promise for such interactive applications.ObjectiveThe aim of this study is to explore the usability and feasibility of chatbot technology for gathering real-life conversation data on stress, sleep, and infant feeding from parents with newborn infants and to investigate differences between the experiences of parents with preterm and term infants.MethodsParents aged ≥21 years with infants aged ≤6 months were enrolled from November 2018 to March 2019. Three chatbot scripts (stress, sleep, feeding) were developed to capture conversations with parents via their mobile devices. Parents completed a chatbot usability questionnaire upon study completion. Responses to closed-ended questions and manually coded open-ended responses were summarized descriptively. Open-ended responses were analyzed using the latent Dirichlet allocation method to uncover semantic topics.ResultsOf 45 enrolled participants (20 preterm, 25 term), 26 completed the study. Parents rated the chatbot as "easy" to use (mean 4.08, SD 0.74; 1=very difficult, 5=very easy) and were "satisfied" (mean 3.81, SD 0.90; 1=very dissatisfied, 5 very satisfied). Of 45 enrolled parents, those with preterm infants reported emotional stress more frequently than did parents of term infants (33 vs 24 occasions). Parents generally reported satisfactory sleep quality. The preterm group reported feeding problems more frequently than did the term group (8 vs 2 occasions). In stress domain conversations, topics linked to "discomfort" and "tiredness" were more prevalent in preterm group conversations, whereas the topic of "positive feelings" occurred more frequently in the term group conversations. Interestingly, feeding-related topics dominated the content of sleep domain conversations, suggesting that frequent or irregular feeding may affect parents' ability to get adequate sleep or rest.ConclusionsThe chatbot was successfully used to collect real-time conversation data on stress, sleep, and infant feeding from a group of 45 parents. In their chatbot conversations, term group parents frequently expressed positive emotions, whereas preterm group parents frequently expressed physical discomfort and tiredness, as well as emotional stress. Overall, parents who completed the study gave positive feedback on their user experience with the chatbot as a tool to express their thoughts and concerns.Trial registrationClinicalTrials.gov NCT03630679; https://clinicaltrials.gov/ct2/show/NCT03630679.

Project description:BACKGROUND:Prenatal exposure to environmental contaminants can have deleterious effects on child development. While psychomotor, cognitive and behavioural outcomes have been investigated in relation to chronic exposure, the associations with visual functions remains unclear. The present study's aim was to assess the associations of prenatal exposure to legacy persistent organic pollutants and heavy metals with visual acuity in Canadian infants. The potential protective effects of selenium against mercury toxicity were also examined. METHODS:Participants (mean corrected age?=?6.6?months) were part of the Maternal-Infant Research on Environmental Chemicals (MIREC) study. Concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), lead and mercury were measured in maternal blood during pregnancy, as well as in the cord blood. The Teller acuity card test (TAC) (n?=?429) and the visual evoked potentials in a sub-group (n?=?63) were used to estimate behavioural and electrophysiological visual acuity, respectively. Multivariable linear regression models were used to investigate the relationship between exposure to each contaminant and visual acuity measures, while controlling for potential confounders. Breastmilk selenium, which was available for about half of the TAC and VEP samples, was also taken into account in the mercury models as exploratory analyses. RESULTS:We observed no significant associations between exposure to any contaminants and TAC. Analyses revealed a negative trend (p values <?0.1) between cord blood lead and mercury and electrophysiological visual acuity, whereas PCB and PBDE showed no association. When adding breastmilk selenium concentration to the mercury models, this association became statistically significant for cord concentrations (??=?-?3.41, 95% CI?=?-?5.96,-0.86), but also for blood levels at 1st and 3rd trimesters of pregnancy (??=?-?3.29, 95% CI?=?-?5.69,-0.88). However, further regression models suggested that this change in estimates might not be due to adjustment for selenium, but instead to a change in the study sample. CONCLUSIONS:Our results suggest that subtle, but detectable alterations of infant electrophysiological visual acuity can be identified in a population prenatally exposed to low mercury concentrations. Compared to behavioural visual acuity testing, electrophysiological assessment may more sensitive in detecting visual neurotoxicity in relation with prenatal exposure to mercury.

Project description:BackgroundThe importance of nurse staffing levels in acute hospital wards is widely recognised but evidence for tools to determine staffing requirements although extensive, has been reported to be weak. Building on a review of reviews undertaken in 2014, we set out to give an overview of the major approaches to assessing nurse staffing requirements and identify recent evidence in order to address unanswered questions including the accuracy and effectiveness of tools.MethodsWe undertook a systematic scoping review. Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed in the context of conclusions from existing reviews.ResultsThe published literature is extensive and describes a variety of uses for tools including establishment setting, daily deployment and retrospective review. There are a variety of approaches including professional judgement, simple volume-based methods (such as patient-to-nurse ratios), patient prototype/classification and timed-task approaches. Tools generally attempt to match staffing to a mean average demand or time requirement despite evidence of skewed demand distributions. The largest group of recent studies reported the evaluation of (mainly new) tools and systems, but provides little evidence of impacts on patient care and none on costs. Benefits of staffing levels set using the tools appear to be linked to increased staffing with no evidence of tools providing a more efficient or effective use of a given staff resource. Although there is evidence that staffing assessments made using tools may correlate with other assessments, different systems lead to dramatically different estimates of staffing requirements. While it is evident that there are many sources of variation in demand, the extent to which systems can deliver staffing levels to meet such demand is unclear. The assumption that staffing to meet average need is the optimal response to varying demand is untested and may be incorrect.ConclusionsDespite the importance of the question and the large volume of publication evidence about nurse staffing methods remains highly limited. There is no evidence to support the choice of any particular tool. Future research should focus on learning more about the use of existing tools rather than simply developing new ones. Priority research questions include how best to use tools to identify the required staffing level to meet varying patient need and the costs and consequences of using tools.Tweetable abstractDecades of research on tools to determine nurse staffing requirements is largely uninformative. Little is known about the costs or consequences of widely used tools.

Project description:ImportanceQuality improvement initiatives demonstrate the contribution of reliable nursing care to gains in clinical and safety outcomes in neonatal intensive care units (NICUs); when core care is missed, outcomes can worsen.ObjectiveTo evaluate the association of NICU nurse workload with missed nursing care.Design, setting, and participantsA prospective design was used to evaluate associations between shift-level workload of individual nurses and missed care for assigned infants from March 1, 2013, through January 31, 2014, at a 52-bed level IV NICU in a Midwestern academic medical center. A convenience sample of registered nurses who provided direct patient care and completed unit orientation were enrolled. Nurses reported care during each shift for individual infants whose clinical data were extracted from the electronic health record. Data were analyzed from January 1, 2015, through August 13, 2018.ExposuresWorkload was assessed each shift with objective measures (infant-to-nurse staffing ratio and infant acuity scores) and a subjective measure (the National Aeronautics and Space Administration Task Load Index [NASA-TLX]).Main outcomes and measuresMissed nursing care was measured by self-report of omission of 11 essential care practices. Cross-classified, multilevel logistic regression models were used to estimate associations of workload with missed care.ResultsA total of 136 nurses provided reports of shift-level workload and missed nursing care for 418 infants during 332 shifts of 12 hours each. When workload variables were modeled independently, 7 of 12 models demonstrated a significant worsening association of increased infant-to-nurse ratio with odds of missed care (eg, nurses caring for ≥3 infants were 2.51 times more likely to report missing any care during the shift [95% credible interval, 1.81-3.47]), and all 12 models demonstrated a significant worsening association of increased NASA-TLX subjective workload ratings with odds of missed care (eg, each 5-point increase in a nurse's NASA-TLX rating during a shift was associated with a 34% increase in the likelihood of missing a nursing assessment for his or her assigned infant[s] during the same shift [95% credible interval, 1.30-1.39]). When modeling all workload variables jointly, only 4 of 12 models demonstrated significant association of staffing ratios with odds of missed care, whereas the association with NASA-TLX ratings remained significant in all models. Few associations of acuity scores were observed across modeling strategies.Conclusions and relevanceThe workload of NICU nurses is significantly associated with missed nursing care, and subjective workload ratings are particularly important. Subjective workload represents an important aspect of nurse workload that remains largely unmeasured despite high potential for intervention.

Dataset Information

Infants in Drug Withdrawal: A National Description of Nurse Workload, Infant Acuity, and Parental Needs.

Publications

Infants in Drug Withdrawal: A National Description of Nurse Workload, Infant Acuity, and Parental Needs.

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