Digital Care Pathway for Patients With Sleep Apnea in Specialized Care: Mixed Methods Study.

BACKGROUND: Sleep apnea is a significant public health disorder in Finland, with a prevalence of 3.7%. Continuous positive airway pressure (CPAP) therapy is the first-line treatment for moderate or severe sleep apnea. From November 18, 2019, all patients who started their CPAP therapy at Oulu University Hospital were attached to a sleep apnea digital care pathway (SA-DCP) and were instructed on its use. Some patients still did not use the SA-DCP although they had started their CPAP therapy. OBJECTIVE: We aimed to study health care professionals' (HCPs') perspectives on the SA-DCP and its usefulness for their work; whether the main targets of SA-DCP can be reached: shortening the initial guiding sessions of CPAP therapy, reducing patient calls and contact with HCPs, and improving patients' adherence to CPAP therapy; and patients' perspectives on the SA-DCP and its usefulness to them. METHODS: Overall, 6 HCPs were interviewed in May and June 2021. The survey for SA-DCP users (58/91, 64%) and SA-DCP nonusers (33/91, 36%) was conducted in 2 phases: from May to August 2021 and January to June 2022. CPAP device remote monitoring data were collected from SA-DCP users (80/170, 47.1%) and SA-DCP nonusers (90/170, 52.9%) in May 2021. The registered phone call data were collected during 2019, 2020, and 2021. Feedback on the SA-DCP was collected from 446 patients between February and March 2022. RESULTS: According to HCPs, introducing the SA-DCP had not yet significantly improved their workload and work practices, but it had brought more flexibility in some communication situations. A larger proportion of SA-DCP users familiarized themselves with prior information about CPAP therapy before the initial guiding session than nonusers (43/58, 74% vs 16/33, 49%; P=.02). Some patients still had not received prior information about CPAP therapy; therefore, most of the sessions were carried out according to their needs. According to the patient survey and remote monitoring data of CPAP devices, adherence to CPAP therapy was high for both SA-DCP users and nonusers. The number of patients' phone calls to HCPs did not decrease during the study. SA-DCP users perceived their abilities to use information and communications technology to be better than nonusers (mean 4.2, SD 0.8 vs mean 3.2, SD 1.2; P<.001). CONCLUSIONS: According to this study, not all the goals set for the introduction of the SA-DCP have been achieved. Despite using the SA-DCP, some patients still wanted to communicate with HCPs by phone. The most significant factors explaining the nonuse of the SA-DCP were lower digital literacy and older age of the patients. In the future, more attention should be paid to these user groups when designing and introducing upcoming digital care pathways.

Health care Professionals' experiences of counselling competence in digital care pathways - A descriptive qualitative study.

AIM: Health care professionals are tasked with the role of supporting patients in using eHealth services in their personal care and counselling competence in digital environments to ensure appropriate patient care. Our aim was to describe health care professionals' experiences of counselling competence in Digital Care Pathways. DESIGN: A descriptive qualitative study. METHODS: Interviews with semi-structured questions were conducted. Twelve healthcare professionals were interviewed. The data were analysed using inductive content analysis. The results were reported according to the Consolidated Criteria for Reporting Qualitative Research. RESULTS: The analysis revealed eight distinct areas of competence related to counselling in Digital Care Pathways, namely, counselling competences related to the use of Digital Care Pathways, supporting patients' self-care, information technology competence, competence in creating an interactive counselling relationship on the Digital Care Pathway, information management, ethical competence related to counselling in Digital Care Pathways, competence to developing Digital Care Pathways services, and change competence. NO PUBLIC OR PATIENT CONTRIBUTION: Due to the complex and unpredictable circumstances of COVID, people's strict confinement in the hospital prohibited free access to them and the study environment. Therefore, the professionals involved in the study were interviewed through online systems.

Using standardized nursing data for knowledge generation - Ward level analysis of point of care nursing documentation.

BACKGROUND: Standardized nursing terminology is a prerequisite for describing nursing care processes and generating knowledge for decision-making and management. The structure of the Finnish Care Classification (FinCC) facilitates documentation of nationally agreed core nursing data: nursing diagnoses, interventions, and outcomes. PURPOSE: To analyze the use of FinCC to assess patient care needs (nursing diagnoses), care implementations (interventions) and evaluation of the outcomes of nursing care in electronic health records. METHODS AND MATERIALS: The descriptive study applied purposeful sampling of nursing data from nursing data repositories in three surgical wards in tertiary and secondary care hospitals. The aggregated, anonymous ward level data from a six-month period was analyzed to show distributions within frequencies and means of component, main and subcategory level use of FinCC in the three hospitals. RESULTS: Each of the three levels of the FinCC (component, main and subcategory) were used for recording nursing care. In all hospitals, the three most used diagnosis components covered about one third of the use of all the 17 components. The five most used intervention components cover about one third of the components. The most often used components for diagnoses and interventions were Coordination of care and follow-up care, Pain Management, Activities of daily living and independence and Medication. The prevalence of different components and the main and subcategory level usage for both diagnoses and interventions varied between the hospitals. CONCLUSION: Standardized point-of-care nursing data makes patients' daily nursing care transparent. Structured, standardized, and point-of-care nursing data can be utilized to generate new knowledge of nursing care processes and nursing care practice at ward level.

A Digital Care Pathway to Access Healthcare Without Time and Place Restrictions.

A digital care pathway is a secure digital service channel for patients in a care relationship with a specialized health care hospital in Finland. It is part of the Health Village portal built in co-operation with the Virtual Hospital project by five Finnish university hospitals led by Helsinki University Hospital. Health Village services make healthcare services available to all Finns regardless of place of residence and income level, thus improving the equality of citizens.

Updating the Standardized Terminology for Nurses' Daily Documentation.

In Finland, the nationally unified and standardized nursing documentation model comprises the nursing process model and the Finnish Care Classification (FinCC). The aim of the study was to assess how well the further developed FinCC complies with actual nursing practices and how pragmatic and understandable it is. An e-questionnaire based on the revised version of the FinCC was sent to healthcare organizations (n=34) and Universities of Applied Sciences (n=14). Data was gathered and organized in Excel. Narrative comments were read and analyzed. The mean of questions of 17 components of both the FICND and the FICNI was over four (scale 1-5). The biggest revision of the FinCC is that different scales and evidence-based research have been utilized in the development of the terminology. Based on the findings, revisions have been made, and the new version, FinCC 4.0, will be published at the end of 2019.

Development and Validation of Standardized Pain Management Documentation.

Pain management, assessment and documentation is a crucial part of patient care. However, several studies show flaws in pain management processes. Documentation is not unified or even sufficient. The aim of this study was to describe how patient pain management has been recorded using the nursing diagnoses and nursing interventions of a standardized terminology, the Finnish Care Classification, (FinCC), and how that terminology should be further developed. The research data consisted of the daily nursing documentation notes of patient care episodes (n=806) during inpatient days (n=2564) at several specialty units (n=9). The documentation of pain management was found inadequate and insufficient. The results support the development of a new component, Pain management, and its attendant categories in the new version, FinCC 4.0, to help nurses document pain management in their daily work.

Patient-Centered Development of a Digital Care Pathway for Arrhythmia Patients.

Citizens are ready and willing to use various kinds of e-health services and Web-based portals. The purpose of this study was to describe the experiences of patients who underwent an arrhythmia procedure of the guidance they received as well as their needs and expectations for a future digital care path. The goal for the future is to utilize the results in other patient-centered digital service development activities. The research material was collected in a two-part thematic interview with patients who underwent an electrophysiology examination and supraventricular tachycardia catheter ablation procedure (n=7) or ablation treatment for atrial fibrillation (n=4). The preliminary digital care path was modified based on the results. The arrhythmia patient's digital care path was tested in a workshop using a test group consisting of patients (n=3) and nursing staff (n=6). As a result, a digital care pathway for arrhythmia patients was completed.

Assessing the relation of the coded nursing care and nursing intensity data: Towards the exploitation of clinical data for administrative use and the design of nursing workload.

Patient-care data from the electronic health record systems are increasingly in demand for re-use in administration and resource planning. Nursing documentation with coded concepts is expected to produce more reliable data, fulfilling better requirements for re-use. The aim was to ascertain what kind of relation exist between coded nursing diagnoses, nursing interventions, and nursing intensity and to discuss the possibilities for re-using nursing data for workload design. We analysed the retrospective nursing records of 794 patients documented by the Finnish Care Classification and nursing intensity data assessed by the Oulu Patient Classification over a 15-day period in nine inpatient units at a university hospital. Using the generalised linear mixed model, the clear relationship between the number of coded nursing notes and nursing intensity levels were ascertained. The number of coded nursing notes increases when the nursing intensity increases. The outcomes construct a good basis for continuing elaboration of electronic health record data re-use.

How to Assess Success of HIT Project Management: An Example of the Use of the Common Assessment Framework (CAF).

The purpose of this study was to assess the project management of a national health information technology project focused on developing digital health care services. An e-questionnaire was sent at the end of the development project, and 93 experts (18%) from five university hospitals responded. The questionnaire was based on the Common Assessment Framework (CAF) to identify management success and also to get an overview of the project's performance. The questionnaire contained 11 background variables and 17 Likert scale items in five themes on leadership, strategy and planning, people, partnerships and resources, and processes, and one open-ended question. After analysis using descriptive statistical methods, the results showed that, overall, participants felt confident about management of the project. Criticism focused on the distribution of resources and lack of knowledge about the status of development activities in other hospitals. The CAF enablers criteria revealed subjects for further development.

Patients' Use of Health Village Portal: The Central Role of Healthcare Professional Support.

Healthcare professionals play a key role in supporting self-care among patients and clients. Their attitudes and behaviors may influence a patient's capacity to use electronic services (e-services) and may increase patients' trust toward a technical solution. The technology acceptance model explains information systems use and the important variables that play a role in an individual's acceptance of e-services. This survey was designed to capture the expectations of healthcare personnel. Participants (n = 91) suggested that patients would benefit from this e-service. The e-services enabled participants to find patient health records more easily than before, and they perceived that the care relationship improved as a result.

Quality of nursing intensity data: inter-rater reliability of the patient classification after two decades in clinical use.

AIMS: The aim of this study was to measure the inter-rater reliability of the Oulu Patient Classification and to discuss existing methods of reliability testing. BACKGROUND: The Oulu Patient Classification, part of the RAFAELA® System, has been developed to assist nursing managers with the proper allocation of nursing resources. Due to the increased intensity of inpatient care during recent years, there is a need for the reliability testing of the classification, which has been in clinical use for 20 years. DESIGN: Retrospective statistical study. METHODS: To test inter-rater reliability, a pair of nurses classified the same patients, without knowledge of each other's ratings, as a part of annually conducted standardization. Data on the parallel classifications (n = 19,997) was obtained from inpatient units (n = 32) with different specialties at a university hospital in Finland during 2010-2015. Parallel classification practices were also analysed. The reliability of the overall classification and its subareas were calculated using suitable statistical coefficients. RESULTS: Inter-rater reliability coefficients were a reliable or almost perfect means of considering the nursing intensity category and various practices, but there were detectable differences between subareas. The lowest agreement levels occurred in the subareas 'Planning and Coordination of Nursing Care' and 'Guiding of Care/Continued Care and Emotional Support'. CONCLUSIONS: There is a need to develop the descriptions of subareas and to clarify the related concepts. Precise nursing documentation can promote a high level of agreement and reliable results. The traditional overall proportion of agreement does not provide an adequate picture of reliability - weighted kappa coefficients should be used instead.

Determining Optimal Nursing Resources in Relation to Functions During the Oulu University Hospital Nurse Staffing Management Project.

The Oulu University Hospital's staffing management project sought information on the number of nursing staff in relation to treatment days and visits, using existing indicators to describe the activities involved. The retrospective data obtained was compared to human resources and the personnel structure. On this basis an optimal number of staff was determined for the units, taking account of a range of explanatory indicator data. The project made use of the computational model for nurse staffing and the World Health Organisation's (WHO) Workload Indicators of Staffing Need (WISN) method. The project provided extensive information on human resources issues within the units. Its results indicated the differences between wards with respect to the number and structure of resources. In addition, the nurse administrators lacked skills in gathering and using data from administrative datasets. This information will provide support for the further development of nursing operations and nursing management decision-making.

The Development Process of eHealth Strategy for Nurses in Finland.

Growing use of information and communication technology (ICT) demands have caused a need for nursing to strengthen the knowledge, skills and competences related to ICT in health (eHealth) and define its versatile roles. The Finnish Nurses Association (FNA) named a group of eHealth experts from various professional fields that are closely connected to nursing e.g. nursing practice, higher education, nursing research and administration. The main purpose was to describe nurses' contribution to the national strategy concerning eHealth development and implementation in health and social care. The group searched for answers, discussed strategic issues, wrote drafts, and sent texts for open commentary circles. The chosen themes of the eHealth strategies deal with the role of the client, nursing practice, ethical aspects education and eHealth competences, nursing leadership, knowledge management and research and development. The article describes the strategic work and the structure of eHealth strategy of nurses in Finland.

Healthcare professionals' views on the mutual consistency of the Finnish Classification of Nursing Interventions and the Oulu Patient Classification.

BACKGROUND: Various classification schemes have been used for clinical and administrative purposes, but their concepts have seldom been cross-mapped. Cross-mapping is a formal method that can be used for examining existing classifications' validity. AIM: The aim was to cross-map two nursing classifications - the Finnish Classification of Nursing Interventions (FiCNI, version 3.0), developed for structured nursing documentation, and the Oulu Patient Classification (OPCq), created for daily assessment of nursing intensity - and evaluate their mutual consistency. The objective was to obtain information on the content equivalence of the two classifications and the consistency of the concepts used, to inform further development of both. METHODS: The Delphi method was utilised, with a panel of experts that included terminology developers, researchers, teachers and nurses (n = 16). Four Delphi rounds were required. In these, panellists selected the most relevant content from the OPCq subareas (n = 6) for each FiCNI main category and subcategory (n = 307). In cases of doubt, respondents were asked to justify their choices. RESULTS: Response rates ranged from 68.8 to 93.8% in the Delphi rounds. After three rounds, 81.4% of the FiCNI categories were cross-mapped with sufficient consensus. A fourth round was needed for 57 FiCNI categories (18.6%). Most FiCNI categories (29.3%) were cross-mapped to the OPCq's subarea 2. Deficiencies in the concepts' clarity and in the OPCq's content areas complicated the cross-mapping. The most unambiguous categories of the FiCNI were found in the respiratory, cardiac and activity components. The components showing greatest ambiguity were skin integrity, mental balance and safety. CONCLUSION: The content and concepts used in both classifications need further development. The cross-mapping results can be utilised for developing reuse of structured nursing data in assessment of nursing intensity and in decision-making in human-resources planning.

FinCC and the National Documentation Model in EHR--user feedback and development suggestions.

The structure of the Finnish nursing documentation model is based on the decision-making process and a standardized nursing terminology: Finnish Care Classification (FinCC). Nearly 20,000 nurses use the FinCC although not all healthcare organizations utilize it. Development projects for the common national nursing documentation framework have been carried out, for example, in 2010-2011 the aim of a project by the Ministry of Social Affairs and Health and the National Institute of Health and Welfare was to suggest recommendations for the Finnish nursing documentation model. The final report of the project was sent to different organizations all over the country for further feedback statements. The aim of this paper is to summarize the message of the statements (n=37) from primary and specialized care, universities including universities of applied science, professional nursing associations, trade unions and national authorities. Development suggestions for the FinCC and electronic health records will be introduced.

Impacts of structuring nursing records: a systematic review.

AIM: The study aims to describe the impacts of different data structuring methods used in nursing records or care plans. This systematic review examines what kinds of structuring methods have been evaluated and the effects of data structures on healthcare input, processes and outcomes in previous studies. MATERIALS AND METHODS: Retrieval from 15 databases yielded 143 papers. Based on Population (Participants), Intervention, Comparators, Outcomes elements and exclusion and inclusion criteria, the search produced 61 studies. A data extraction tool and analysis for empirical articles were used to classify the data referring to the study aim. Thirty-eight studies were included in the final analysis. FINDINGS: The study design most often used was a single measurement without any control. The studies were conducted mostly in secondary or tertiary care in institutional care contexts. The standards used in documentation were nursing classifications or the nursing process model in clinical use. The use of standardised nursing language (SNL) increased descriptions of nursing interventions and outcomes supporting daily care, and improving patient safety and information reuse. DISCUSSION: The nursing process model and classifications are used internationally as nursing data structures in nursing records and care plans. The use of SNL revealed various positive impacts. Unexpected outcomes were most often related to lack of resources. LIMITATIONS: Indexing of SNL studies has not been consistent. That might cause bias in database retrieval, and important articles may be lacking. The study design of the studies analysed varied widely. Further, the time frame of papers was quite long, causing confusion in descriptions of nursing data structures. CONCLUSION: The value of SNL is proven by its support of daily workflow, delivery of nursing care and data reuse. This facilitates continuity of care, thus contributing to patient safety. Nurses need more education and managerial support in order to be able to benefit from SNL.

Cross-mapping the Finnish Care Classification and the Oulu Patient Classification.

The purpose of this paper is to describe the process of cross-mapping and validating the Finnish Care Classification, FinCC and the Oulu Patient Classification, OPC measurement tool for patient care intensity. The process will be carried out with two expert panels. This will result a cross-mapped classification system to use be used in every electronic patient record systems in Finland.

Cross-mapping the Finnish Classification of Nursing Diagnosis, Nursing Interventions and the Oulu Patient Classification.

The structure of nursing documentation in Finland is based on the nursing process model and nursing diagnosis, interventions and outcomes are documented using a standardized nursing terminology. Patient related information is produced and stored in an electronic form at multiple sites. Patient care intensity classification is one of the essential pieces of nursing core data belonging to the structural data of an electronic patient record supported by the Ministry of Social Affairs and Health. The purpose of this paper is to describe the process of cross-mapping Finnish Classification of Nursing Diagnosis/Needs (FiCND), Nursing Interventions (FiCNI) and the most commonly used patient intensity classification in Finland, the Oulu Patient Classification (OPC). These databases enable evaluation, analysis and utilisations of data for administrative and research purposes. The end product is a cross-mapped classification material in The Institute for Health and Welfare (before National Research and Development Centre for Welfare and Health, STAKES) to use in every electronic patient record systems in Finland.

Nurse informaticians in Finland - who are they and what are they doing?

The role of a nurse informatician is not yet common in health care settings in Finland although electronic patient records have been in use since 1980's. A web-based survey instrument was compiled based on the surveys conducted by HIMSS in spring 2009. The aim was to find out what kind of positions nurses have in nursing informatics in the Finnish health care sector. Based on the results the role of nurse informaticians varied between hospitals and health centres based on organization size and affiliation weather on IT-department or clinical setting. In many organizations nurses are also working quite isolated due to scarce number of nurses in the field of informatics.