Souraya Sidani

Most administrative databases do not contain good information about nursing-sensitive outcomes. To determine (a) the reliability of the instruments measuring nursing-sensitive outcomes, (b) whether the outcome measures are sensitive to changes in patients' health, and (c) whether the outcome measures are associated with nursing interventions. The sample consisted of 890 patients from acute care hospitals and long-term-care facilities. A repeated measures design was used. Functional status was assessed on admission and discharge using Minimum Data Set 2.0 items. Symptom (pain, nausea, dyspnea, fatigue) frequency and severity were assessed with 4-point and 11-point numeric scales, respectively. Therapeutic self-care was assessed on discharge from acute care. Nursing interventions were assessed by documentation review. The outcome measures demonstrated very good interrater reliability with weighted Kappa ranging from .64 to .93. The internal consistency reliability was high for functional status and therapeutic self-care. The outcome tools were sensitive to change in patient condition. Select nursing interventions were related to functional status, therapeutic self-care, and symptom outcomes. The findings suggest that nurses are able to collect data on nursing-sensitive patient outcomes in a reliable and valid way.

Despite a solid evidence base for pain management, pain is not always well managed in practice. Interventions to implement pain management evidence need to be shifted from a focus on individual characteristics to knowledge translation strategies that are grounded in theory and attend to the organizational context and social dimension of translating evidence into practice. The authors examine Appreciative Inquiry (AI) as an innovative knowledge translation intervention in the area of pain management in nursing. Their aims are to advance the current state of knowledge translation interventions in pain management and to examine the usefulness of potential interventions based on their congruence with theory. The theory and practice of AI are compared to the concept of knowledge translation and the elements of the Promoting Action on Research Implementation in Health Services framework. Discussion is grounded in pain management in nursing.

Patient-centered care (PCC) is a vaguely defined element of high-quality care, which precludes its consistent and precise operationalization. A conceptualization of PCC was derived from the literature and guided the development of an instrument to assess implementation of PCC by healthcare providers. The items of the instrument capture specific activities that reflect three components of PCC: holistic, collaborative, and responsive care. This paper reports on the measure's content and construct validity and reliability. Content validity was evaluated in a sample of 11 nurse practitioners who rated the relevance of each items' content in reflecting the respective component of PCC. The content validity index (CVI) was estimated. Construct validity and internal consistency reliability were examined in a survey of 149 nurse practitioners employed in acute care institutions, using factor analysis and the KR-20 coefficient, respectively. The CVIs were 100% for the three subscales assessing the holistic, collaborative, and responsive care components of PCC. The items in each subscale loaded on one factor. The KR-20 coefficients were .66, .70, and .42, respectively. Overall, the majority (>70%) of respondents indicated performance of the activities comprising the three components of PCC. The PCC measure demonstrated acceptable psychometric properties. The low variance in responses, which is anticipated for instruments assessing fidelity of intervention implementation, accounts for the low reliability coefficients. Additional testing of the measure's psychometric properties in different groups of healthcare providers is warranted. The measure can be used to monitor healthcare providers' implementation of PCC in their usual practice.

Patient-centered care (PCC) has been described as a vague concept, which yields an inconsistent operationalization and implementation of this approach to care. This integrative review of the literature, guided by the conceptualization of PCC as a complex intervention, aimed to identify the specific elements of PCC. Conceptual, empirical and clinical literature in different health professions (n = 178 articles) was critically analyzed. Comparing and contrasting the definitions and descriptions of PCC revealed three specific elements that were represented in these components: holistic, collaborative and responsive care. Activities that constitute each component were specified. The implementation of PCC components is facilitated by a non-specific element: the therapeutic relationship. The results inform the development of protocols that can be used to promote the fidelity with which PCC is delivered by different professionals in a variety of healthcare settings.

Random assignment of participants to experimental and comparison treatments is believed to enhance the comparability of the study groups on baseline characteristics. Despite its benefits, random assignment presents threats to validity. It ignores participants' treatment preferences. If not accounted for when participants are allocated to treatments, preferences influence enrolment in the study, representativeness of the accrued sample, attrition, adherence to treatment, and outcomes. This methodological article describes the mechanisms underlying the influence of treatment preferences on the external and internal validity of an intervention evaluation study. The authors present empirical evidence to support the points of discussion. They describe alternative research designs that account for treatment preferences, for use in future nursing intervention research.

Hospitalized children frequently receive inadequate pain assessment and management despite substantial evidence to support effective pediatric pain practices. The objective of this study was to determine the effect of a multidimensional knowledge translation intervention, Evidence-based Practice for Improving Quality (EPIQ), on procedural pain practices and clinical outcomes for children hospitalized in medical, surgical and critical care units. A prospective cohort study compared 16 interventions using EPIQ and 16 standard care (SC) units in 8 Canadian pediatric hospitals. Chart reviews at baseline (time 1) and intervention completion (time 2) determined the nature and frequency of painful procedures and of pain assessment and pain management practices. Trained pain experts evaluated pain intensity 6 months post-intervention (time 3) during routine, scheduled painful procedures. Generalized estimating equation models compared changes in outcomes between EPIQ and SC units over time. EPIQ units used significantly more validated pain assessment tools (P<0.001) and had a greater proportion of patients who received analgesics (P=0.03) and physical pain management strategies (P=0.02). Mean pain intensity scores were significantly lower in the EPIQ group (P=0.03). Comparisons of moderate (4-6/10) and severe (7-10/10) pain, controlling for child and unit level factors, indicated that the odds of having severe pain were 51% less for children in the EPIQ group (adjusted OR: 0.49, 95% CI: 0.26-0.83; P=0.009). EPIQ was effective in improving practice and clinical outcomes for hospitalized children. Additional exploration of the influence of contextual factors on research use in hospital settings is required to explain the variability in pain processes and clinical outcomes.