Reliability of a Canadian database for primary care nursing services' clinical and administrative data

Multidimensional analysis of adult patients’ care trajectories before a first diagnosis of schizophrenia

For patients at high-risk for developing schizophrenia, a delayed diagnosis could be affected, among many reasons, by their patterns of healthcare use. This study aims to describe and generate a typology of patients’ care trajectories (CTs) in the 2 years preceding a first diagnosis of schizophrenia, over a medico-administrative database of 3712 adults with a first diagnosis between April 2014 and March 2015 in Quebec, Canada. This study applied a multidimensional approach of State Sequence Analysis, considering together sequences of patients’ diagnoses, care settings and care providers. Five types of distinct CTs have emerged from this data-driven analysis: The type 1, shared by 77.6% of patients, predominantly younger men, shows that this group sought little healthcare, among which 17.5% had no healthcare contact for mental disorders. These individuals might benefit from improved promotion and prevention of mental healthcare at the community level. The types 2, 3 and 4, with higher occurrence of mental disorder diagnoses, represent together 19.5% of the study cohort, mostly middle-aged and women. These CTs, although displaying roughly similar profiles of mental disorders, revealed very dissimilar sequences and levels of care providers encounters, primary and specialized care use, and hospitalizations. Surprisingly, patients of these CTs had few consultations with general practitioners. An increased attentiveness for middle-aged patients and women with high healthcare use for mental disorders could help to reduce delayed diagnosis of schizophrenia. This calls for further consideration of healthcare services for severe mental illness beyond those offered to young adults.

The Usability of IT Systems in Document Management, Using the Example of the ADPIECare Dorothea Documentation and Nurse Support System

Background: In 2016, an IT system was developed at MUL for the documentation of nursing practice. Preparing nursing students for the implementation of eHealth solutions under simulated conditions is crucially important for achieving the digital competencies necessary for health care systems in the future. Scientific evidence demonstrates that the use of an IT system in clinical practice shortens the time required for the preparation of documentation, increases the safety of clinical decisions and provides data for analysis and for the creation of predictive models for the purposes of HB HTA. Methods: The system was created through the cooperation of an interprofessional team at the Medical University of Łódź. The ADPIECare system was implemented in 2016 at three universities in Poland, and in 2017 a study of its usability was conducted using a questionnaire made available by Healthcare Information and Management Systems Society, “Defining and Testing EMR Usability MASTER V2 Final” on 78 nurses—students of MA in Nursing at Medical University of Łódź. Findings: Over 50% of the surveyed nurses indicated the usability of the system for the “effectiveness of documentation” variable. The same group of respondents had a positive attitude towards patient care planning with the use of the assessed system. In the opinions of the examined parties, positive opinions predominated, such as, e.g., “the system is intuitive”, “the system facilitates work”, “all patient assessments are in one place”, and “the time needed for data entry would be shortened”.

Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study

Background

Identification of the essential components of the quality of the data collection process is the starting point for designing effective data quality management strategies for public health information systems. An inductive analysis of the global literature on the quality of the public health data collection process has led to the formation of a preliminary 4D component framework, that is, data collection management, data collection personnel, data collection system, and data collection environment. It is necessary to empirically validate the framework for its use in future research and practice.

Objective

This study aims to obtain empirical evidence to confirm the components of the framework and, if needed, to further develop this framework.

Methods

Expert elicitation was used to evaluate the preliminary framework in the context of the Chinese National HIV/AIDS Comprehensive Response Information Management System. The research processes included the development of an interview guide and data collection form, data collection, and analysis. A total of 3 public health administrators, 15 public health workers, and 10 health care practitioners participated in the elicitation session. A framework qualitative data analysis approach and a quantitative comparative analysis were followed to elicit themes from the interview transcripts and to map them to the elements of the preliminary 4D framework.

Results

A total of 302 codes were extracted from interview transcripts. After iterative and recursive comparison, classification, and mapping, 46 new indicators emerged; 24.8% (37/149) of the original indicators were deleted because of a lack of evidence support and another 28.2% (42/149) were merged. The validated 4D component framework consists of 116 indicators (82 facilitators and 34 barriers). The first component, data collection management, includes data collection protocols and quality assurance. It was measured by 41 indicators, decreased from the original 49% (73/149) to 35.3% (41/116). The second component, data collection environment, was measured by 37 indicators, increased from the original 13.4% (20/149) to 31.9% (37/116). It comprised leadership, training, funding, organizational policy, high-level management support, and collaboration among parallel organizations. The third component, data collection personnel, includes the perception of data collection, skills and competence, communication, and staffing patterns. There was no change in the proportion for data collection personnel (19.5% vs 19.0%), although the number of its indicators was reduced from 29 to 22. The fourth component, the data collection system, was measured using 16 indicators, with a slight decrease in percentage points from 18.1% (27/149) to 13.8% (16/116). It comprised functions, system integration, technical support, and data collection devices.

Conclusions

This expert elicitation study validated and improved the 4D framework. The framework can be useful in developing a questionnaire survey instrument for measuring the quality of the public health data collection process after validation of psychometric properties and item reduction.

Measurement and Validation of Primary Care Nursing Indicators Based on a Wound Care Tracer Condition

BACKGROUND

Access to both valid and reliable nursing-sensitive indicators is currently limited in primary care.

PURPOSE

The objectives were to (1) measure primary care nursing indicators using a wound care tracer condition and (2) study the associations between process and outcome indicators.

METHODS

We conducted a longitudinal study in an ambulatory care clinic in Quebec, Canada. The sample included 482 episodes of care. We studied 5 indicators related to processes and 3 to outcomes.

RESULTS

Performance levels were moderately high for indicators of initial assessment and duration and low for those of continuity and education. Associations between nursing follow-up and continuity indicators and 3 outcome indicators were highly significant.

CONCLUSION

Continuity and nursing follow-up are associated with improved outcomes. Increasing these indicators' performance level can improve both nursing processes and patient outcomes.

Measured and perceived effects of audit and feedback on nursing performance: a mixed methods systematic review protocol

BACKGROUND

The use of audit and feedback (A&F) interventions in health care has been demonstrated to generally be effective on medical teams. However, literature suggests that the response of nurses to this type of intervention may differ from that of other types of health professionals, in relation to their roles, power, and to the configuration of nursing care activities. To our knowledge, no review has been conducted on A&F interventions with nurses. The objective of this systematic review is to examine the evidence of measured and perceived effects of A&F interventions on nurses' performance.

METHODS

A mixed methods systematic review design with thematic and narrative synthesis is used. Studies reporting quantitative and qualitative data on the effects of A&F interventions specific to nursing care are considered for inclusion. Studies will be appraised for quality using the Mixed Methods Appraisal Tool. Quantitative and qualitative data will be summarized in narrative and tabular form and will be synthetized using a segregated methodologies approach.

DISCUSSION

Results will describe the characteristics of A&F with nurses, as well as the measured and perceived effects specific to nursing care. The associations between the characteristics and the effects as well as the concordance between measured and perceived effects will be presented. We anticipate that combining the evidence from qualitative and quantitative studies will allow us to provide relevant insight that can inform the design of better suited A&F interventions for nurses. Audit and feedback interventions demonstrate potential for improving the performance of nursing care. As their effectiveness varies greatly depending on the context and the professionals involved, a better understanding of the associations between its characteristics and the measured and perceived effects is valuable for improving the effectiveness of A&F.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018104973.