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Development of the Nursing Relationships Scale: a measure of interpersonal approaches in nursing care.

ABSTRACT: BACKGROUND: There is no comprehensive measure of dimensions describing the nursing relationship that is suitable for use with survey samples and that is focused on nursing particular types of patients. The objective of this study was to develop a measure to investigate significant dimensions of the nurse-patient relationship, the Nursing Relationship Scale (NRS). METHODS: Hypothetical cases (diabetes or mental illness) in vignette format were presented to 132 psychiatric and 76 general nurses. Thirty-four questions about the nurse-patient interaction were asked. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items, combining ratings from the two case vignettes. Scales were constructed from the final solution and Cronbach's alpha coefficients calculated. Subscale score variations were analysed across nurse type and patient type to examine the discriminant validity of the subscales. RESULTS: Principal components analysis revealed five dimensions accounting for 52 percent of the variation within items. Four 'conceptual' factors were derived. These were labeled Caring/Supportive Approach, Nursing Satisfaction, Authoritarian Stance, and Negativity. Developed as subscales, reliability analysis indicated high internal consistency with respective alpha coefficients for the diabetes case 0.91, 0.75, 0.65, and 0.78 and for the mental illness case of 0.91, 0.75, 0.73, and 0.85. There was significant variation in scale scores according to nurse type (psychiatric versus general) and patient type (diabetes versus mental illness). Nurses endorsed more highly items from the subscales Caring/Supportive Approach and Nursing Satisfaction than items from Authoritarian Stance (with intermediate endorsement) and Negativity (lowest endorsement) subscales. CONCLUSIONS: Psychometric evaluation of the NRS suggests it is a reliable instrument for measuring four key dimensions of the nurse-patient relationship and enables the study of this relationship in large samples.

SUBMITTER: Ku TK

PROVIDER: S-EPMC2889861 | biostudies-other | 2010

REPOSITORIES: biostudies-other

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Development of the Nursing Relationships Scale: a measure of interpersonal approaches in nursing care.

Ku Tan Kan TK Minas Harry H

International journal of mental health systems 20100528

<h4>Background</h4>There is no comprehensive measure of dimensions describing the nursing relationship that is suitable for use with survey samples and that is focused on nursing particular types of patients. The objective of this study was to develop a measure to investigate significant dimensions of the nurse-patient relationship, the Nursing Relationship Scale (NRS).<h4>Methods</h4>Hypothetical cases (diabetes or mental illness) in vignette format were presented to 132 psychiatric and 76 gene ...[more]

PMID: 20509874

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Project description:BackgroundQuality Nursing Care (QNC) is fundamental to the profession of nursing practice. Perception of QNC differ across the globe because of differences in social norms, cultural values and political ambiance and economy. This study aimed to develop a QNC instrument congruent with the Mongolian (QNCS-M) healthcare system and cultural values and societal norms.MethodsExploratory sequential mixed-method design was implemented to develop and assess performance of QNCS-M. First, we focused on developing the components of QNCS-M and their operational definitions. Second, we dedicated to ascertaining psychometric performance of QNCS-M. The field testing consisted of assessing the construct validity and internal consistency reliability. Correlation between QNCS-M and the criterion tool, Quality of Nursing Care Questionnaire-Registered Nurse was evaluated.ResultsThe initial version of QNCS-M contained 66 items of which 7 (I-CVI < .78) were deleted after item-content validity assessment. The total-item correlation analysis yielded to exclusion of another 3 items (<.3). Additional 12 items were excluded after inter-item correlation (<.3, >.7). Results from Spearman rank-order correlation analysis of the remaining 44 items indicated relationship between social desirability and 6 items (r = -.09 to r = .11). These items were excluded to reduce the likelihood of potential information bias. A total of 38 items remained for exploratory factor analysis. Results from exploratory factor analysis yielded eigenvalues > 1.0 for the 9 domains. Three domains contained items fewer than 3. These domains and 2 items (factor loading <.4) were eliminated, yielding to 6 domains with 36-item. Results from internal consistency reliability yielded an overall Cronbach's α = .92; the coefficient values for the 6 domains ranging between .72 and .85 and Pearson correlation for stability reliability yielded an acceptable (r = .82, P < .001).ConclusionImproving the quality of healthcare services delivered by nurses is a priority for the Mongolian government. The development of QNCS-M is a major stride in addressing this concern. The final version of QNCS-M which contains 36 items, loaded into 6 domains, was morphed to the specifics of the Mongolian healthcare systems and cultural values and societal norms. QNCS-M demonstrates a high level of content and construct validity with acceptable reliability.

Project description:Background and objectivesOptimal dyadic interactions are critical to quality mealtime care and outcomes. Prior work supports associative relationships between staff approaches and individual mealtime behaviors, yet evidence on temporal relationships is limited. This study examined temporal associations between staff approaches and resident behaviors during mealtimes.Research design and methodsVideotaped mealtime observations (N = 160) involving 36 staff and 27 residents (53 staff-resident dyads) in 9 nursing homes were analyzed. Sequential analyses using 5-, 10-, and 15-second time windows were conducted for resident positive, neutral, and challenging behaviors as antecedents as well as consequences of staff person-centered and task-centered approaches.ResultsResidents exhibited positive verbal (35.0%) and positive/neutral nonverbal (12.6%) behaviors, as well as challenging behaviors including functional impairments (27.7%) and resistive behaviors (24.7%). Staff primarily used person-centered approaches (54.1% verbal, 40.3% nonverbal); task-centered approaches were less frequent (5.6%). Immediately (within 5 seconds) after staff person-centered approaches, resident positive/neutral and resistive behaviors were more likely, and functional impairments less likely. After staff task-centered approaches, resident positive verbal and resistive behaviors were less likely. After resident positive/neutral behaviors, staff person-centered approaches were more likely. After resident functional impairments, staff person-centered verbal approaches were less likely, and task-centered approaches more likely. After resident resistive behaviors, all staff approaches were more likely. The strength of temporal relationships diminished in 10-second and 15-second time windows.Discussion and implicationsStaff-resident positive interactions were associated with more subsequent positive interactions. Person-centered care was associated with fewer subsequent resident functional impairments and more subsequent resistive behaviors. Resident resistive behaviors were associated with more subsequent person-centered and task-centered care. Findings confirm the importance of facilitating positive staff-resident interactions and managing functional impairments using person-centered care. Resistive behaviors require additional awareness and attention beyond commonly used person-centered care approaches. Further investigation of temporal relationships is needed using larger diverse samples.

Project description:Rigorous healthcare design research is critical to inform design decisions that improve human experience. Current limitations in the field include a lack of consistent and valid measures that provide feedback about the role of the built environment in producing desirable outcomes. Research findings about nurses' efficiency, quality of care, and satisfaction related to inpatient unit designs have been mixed, and there was previously no validated instrument available to quantitatively measure nurses' ability to work efficiently and effectively in their environment. The objective of this study was to develop, refine, and validate a survey instrument to measure affordance of the care environment to nurse practice, based on various aspects of their work in inpatient units. The HDR Clinical Activities Related to the Environment (CARE) Scale Inpatient Version was developed using item design, refinement, and reliability and validity testing. Psychometric methods from classical test theory and item response theory, along with statistical analyses involving correlations and factor analysis, and thematic summaries of qualitative data were conducted. The four-phase process included (1) an initial pilot study, (2) a content validation survey, (3) cognitive interviews, and (4) a final pilot study. Results from the first three phases of analysis were combined to inform survey scale revisions before the second pilot survey, such as a reduction in the number and rewording of response options, and refinement of scale items. The updated 9-item scale showed excellent internal consistency and improved response distribution and discrimination. The factor analysis revealed a unidimensional measure of nurse practice, as well as potential subscales related to integration, efficiency, and patient care. Within the healthcare design industry, this scale is much needed to generate quantitative and standardized data and will facilitate greater understanding about the aspects of an inpatient healthcare facility that best support nurses' ability to provide quality patient care.

Project description:BackgroundPrimary care in England is facing increasing pressure due to the increasing number and complexity of consultations and the declining number of doctors per head of population. The improvement of primary care efficiency and productivity should be a priority, to ensure that future investments in the medical workforce can cope with the increasingly large and complex demand for care.ObjectivesThis paper presents a systematic literature review of studies that define or measure efficiency in primary care in high-income settings. The review of the existing definitions of primary care efficiency and their limitations will inform future research on the measurement of efficiency in primary care in England and its determinants.MethodsLiterature searches were performed on Embase, Medline, and EconLit in January 2020. The records that passed the screening were reviewed in full text, and data on the study settings, the efficiency definition, and the efficiency analysis were extracted.ResultsOf the 2590 non-duplicate records retrieved from the searches, 38 papers were included in the analysis. The volume of the literature on primary care efficiency has evolved significantly from the 1980s, with the majority of the published studies focussing on European health systems. The setting most often analysed was primary care centres. Output was usually expressed using measures of primary care utilisation, with or without quality adjustments. Reference to the health outcomes achieved was, however, limited. Inputs were more commonly expressed in labour terms, while the exogenous variables related either to the characteristics of the patient population or the organisation of primary care. While all studies included an analysis of technical efficiency, consideration of allocative or cost efficiency or the determinants of productivity (e.g. technological change, skill mix) was rare.ConclusionsThe main limitations that future research on primary care efficiency should address relate to the definition of output. Current approaches to measure the impact on health and the multiple dimensions of output are not sufficient to represent the valued output of primary care. In light of the recent changes in the model of primary care delivery in England, future research should also investigate the impact of technological change on productivity and the scope for substitution across staff roles.

Project description:Background:Professional nursing environments determine the quality of care and patient outcomes. Assessing the quality of environments is essential to improve and obtain better health outcomes. Simplifying and shortening the way to evaluate environments reliably is also important to help nurses better understand the strengths and weaknesses of their environments. In that sense, identifying essential elements of nursing environments would allow the construction of short assessment tools to improve such environments. Objective:To construct a short tool to assess primary health care (PHC) nursing environments based on the Practice Environment Scale-Nursing Work Index (PES-NWI) questionnaire. Methods:Observational, cross-sectional, analytical study (data collection February-April 2015). Tool: PES-NWI (31 items). Population: PHC nurses (three health districts in Valencia, Spain) with more than 3 months in the organization. The nurses were asked to select the 10 elements of the questionnaire (items) that they considered key to facilitate and improve professional care, establishing as a final selection criterion that they obtain a global election >40%. Variables: sociodemographic and 31 questionnaire items. Analysis: descriptive statistics, reliability, multidimensional scaling (ALSCAL), factor analysis, multiple linear regression. Finally, we have analyzed the concordance between both measurements (TOP10 score on the full scale score) using the Bland-Altman method. Results:Study sample = 269 (Response rate = 80.29%). A total of 10 elements were identified based on selection frequency of the questionnaire PES-NWI. A factorial analysis explained 62.1% of variance, internal structure of three dimensions: (1) Participation in leadership and management, (2) Nursing foundations for quality of care, (3) Adequacy of resources, with Accumulate Variance explained: Component (1): 24%; Component (2): 43.1%; Component (3): 62.1%. Reliability (Cronbach's Alpha) was 0.816 for short questionnaire, and >0.8 for all measurements. Stress = 0.184 and RSQ = 0.793. Bland-Altman method: the scaling tends to be 1.92 points higher (equivalent to a maximum deviation of 1.54%) than the full-scale PES-NWI score (max score on PES-NWI = 124 points). Conclusions:It is possible to identify essential elements of environments to construct a short tool that simplifies the study of PHC environments. Conducting rapid studies of environments will provide managers with information about specific elements that require prioritization to enhance quality of care and safety.

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Development of the Nursing Relationships Scale: a measure of interpersonal approaches in nursing care.

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Development of the Nursing Relationships Scale: a measure of interpersonal approaches in nursing care.

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