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IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing.

ABSTRACT: BACKGROUND: IT adoption is a process that is influenced by different external and internal factors. This study aimed1. to identify similarities and differences in the prevalence of medical and nursing IT systems in Austrian and German hospitals, and2. to match these findings with characteristics of the two countries, in particular their healthcare system, and with features of the hospitals. METHODS: In 2007, all acute care hospitals in both countries received questionnaires with identical questions. 12.4% in Germany and 34.6% in Austria responded. RESULTS: The surveys revealed a consistent higher usage of nearly all clinical IT systems, especially nursing systems, but also PACS and electronic archiving systems, in Austrian than in German hospitals. These findings correspond with a significantly wider use of standardised nursing terminologies and a higher number of PC workstations on the wards (average 2.1 PCs in Germany, 3.2 PCs in Austria). Despite these differences, Austrian and German hospitals both reported a similar IT budget of 2.6% in Austria and 2.0% in Germany (median). CONCLUSIONS: Despite the many similarities of the Austrian and German healthcare system there are distinct differences which may have led to a wider use of IT systems in Austrian hospitals. In nursing, the specific legal requirement to document nursing diagnoses in Austria may have stimulated the use of standardised terminologies for nursing diagnoses and the implementation of electronic nursing documentation systems. Other factors which correspond with the wider use of clinical IT systems in Austria are: good infrastructure of medical-technical devices, rigorous organisational changes which had led to leaner processes and to a lower length of stay, and finally a more IT friendly climate. As country size is the most pronounced difference between Germany and Austria it could be that smaller countries, such as Austria, are more ready to translate innovation into practice.

SUBMITTER: Hubner U

PROVIDER: S-EPMC2830164 | biostudies-other | 2010

REPOSITORIES: biostudies-other

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IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing.

Hübner Ursula U Ammenwerth Elske E Flemming Daniel D Schaubmayr Christine C Sellemann Björn B

BMC medical informatics and decision making 20100202

<h4>Background</h4>IT adoption is a process that is influenced by different external and internal factors. This study aimed1. to identify similarities and differences in the prevalence of medical and nursing IT systems in Austrian and German hospitals, and2. to match these findings with characteristics of the two countries, in particular their healthcare system, and with features of the hospitals.<h4>Methods</h4>In 2007, all acute care hospitals in both countries received questionnaires with ide ...[more]

PMID: 20122275

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Project description:ObjectivesNursing facilities have lagged behind in the adoption of interoperable health information technology (ie technologies that allow the sharing and use of electronic patient information between different information systems). The objective of this study was to estimate the nationwide prevalence of electronic health record (EHR) adoption among nursing facilities and to identify the factors associated with adoption.DesignCross-sectional survey.Setting & participantsWe surveyed members of the Society for Post-Acute & Long-Term Care Medicine (AMDA) about their organizations' health information technology usage and characteristics.MeasurementsUsing questions adopted from existing instruments, the survey measured nursing home's EHR adoption, the ability to send, receive, search and integrate electronic information, as well as barriers to usage. Additionally, we linked survey responses to public use secondary data sources to construct measurements for 8 determinants known to be associated with organizational adoption: innovativeness, functional differentiation, role specialization, administrative intensity, professionalism, complexity, technical knowledge resources, and slack resources. A series of regression models estimated the association between potential determinants and technology adoption.Results84% of nursing facilities reported using an EHR. After controlling for all other factors, respondents who characterized their organization as more innovative had more than 6 times the odds (adjusted odds ratio = 6.39, 95% confidence interval = 2.69, 15.21) of adopting an EHR. Organization innovativeness was also associated with an increased odds of being able to send, integrate, and search for electronic information. The most commonly identified barrier to sharing clinical information among nursing facilities with an EHR was a reported absence of interoperability (57%).Conclusions/implicationsAn organizational culture that fosters innovation and awareness campaigns by professional societies may facilitate further adoption and effective use of technology. This will be increasingly important as policy makers continue to emphasize the use of EHRs and interoperability to improve the quality of care in nursing facilities.

Project description:BackgroundNew artificial intelligence (AI) tools are being developed at a high speed. However, strategies and practical experiences surrounding the adoption and implementation of AI in health care are lacking. This is likely because of the high implementation complexity of AI, legacy IT infrastructure, and unclear business cases, thus complicating AI adoption. Research has recently started to identify the factors influencing AI readiness of organizations.ObjectiveThis study aimed to investigate the factors influencing AI readiness as well as possible barriers to AI adoption and implementation in German hospitals. We also assessed the status quo regarding the dissemination of AI tools in hospitals. We focused on IT decision makers, a seldom studied but highly relevant group.MethodsWe created a web-based survey based on recent AI readiness and implementation literature. Participants were identified through a publicly accessible database and contacted via email or invitational leaflets sent by mail, in some cases accompanied by a telephonic prenotification. The survey responses were analyzed using descriptive statistics.ResultsWe contacted 609 possible participants, and our database recorded 40 completed surveys. Most participants agreed or rather agreed with the statement that AI would be relevant in the future, both in Germany (37/40, 93%) and in their own hospital (36/40, 90%). Participants were asked whether their hospitals used or planned to use AI technologies. Of the 40 participants, 26 (65%) answered "yes." Most AI technologies were used or planned for patient care, followed by biomedical research, administration, and logistics and central purchasing. The most important barriers to AI were lack of resources (staff, knowledge, and financial). Relevant possible opportunities for using AI were increase in efficiency owing to time-saving effects, competitive advantages, and increase in quality of care. Most AI tools in use or in planning have been developed with external partners.ConclusionsFew tools have been implemented in routine care, and many hospitals do not use or plan to use AI in the future. This can likely be explained by missing or unclear business cases or the need for a modern IT infrastructure to integrate AI tools in a usable manner. These shortcomings complicate decision-making and resource attribution. As most AI technologies already in use were developed in cooperation with external partners, these relationships should be fostered. IT decision makers should assess their hospitals' readiness for AI individually with a focus on resources. Further research should continue to monitor the dissemination of AI tools and readiness factors to determine whether improvements can be made over time. This monitoring is especially important with regard to government-supported investments in AI technologies that could alleviate financial burdens. Qualitative studies with hospital IT decision makers should be conducted to further explore the reasons for slow AI.

Project description:ObjectiveTo examine the impact of nurse staffing on patient-perceived quality of nursing care. We differentiate nurse staffing levels and nursing skill mix as two facets of nurse staffing and use a multidimensional instrument for patient-perceived quality of nursing care. We investigate non-linear and interaction effects.SettingThe study setting was 3458 hospital units in 1017 hospitals in Germany.ParticipantsWe contacted 212 554 patients discharged from non-paediatric, non-intensive and non-psychiatric hospital units who stayed at least two nights in the hospital between January and October 2019. Of those, 30 174 responded, yielding a response rate of 14.2%. Our sample included only those patients. After excluding extreme values for our nurse staffing variables and removing observations with missing values, our final sample comprised 28 136 patients ranging from 18 to 97 years of age (average: 61.12 years) who had been discharged from 3458 distinct hospital units in 1017 hospitals.Primary and secondary outcome measuresPatient-perceived quality of nursing care (general nursing care, guidance provided by nurses, and patient loyalty to the hospital).ResultsFor all three dimensions of patient-perceived quality of nursing care, we found that they significantly decreased as (1) nurse staffing levels decreased (with decreasing marginal effects) and (2) the proportion of assistant nurses in a hospital unit increased. The association between nurse staffing levels and quality of nursing care was more pronounced among patients who were less clinically complex, were admitted to smaller hospitals or were admitted to medical units.ConclusionsOur results indicate that, in addition to nurse staffing levels, nursing skill mix is crucial for providing the best possible quality of nursing care from the patient perspective and both should be considered when designing policies such as minimum staffing regulations to improve the quality of nursing care in hospitals.

Project description:BACKGROUND:Nursing homes are becoming more important for end-of-life care. Within the industrialised world, Germany is among the countries with the most end-of-life hospitalizations in nursing home residents. To improve end-of-life care, investigation in the status quo is required. The objective was to gain a better understanding of the perspectives of nursing home staff on the current situation of end-of-life care in Germany. METHODS:A cross-sectional study was conducted as a postal survey among a random sample of 1069 German nursing homes in 2019. The survey was primarily addressed to nursing staff management. Data was analyzed using descriptive statistics. Staff was asked to rate different items regarding common practices and potential deficits of end-of-life care on a 5-point-Likert-scale. Estimations of the proportions of in-hospital deaths, residents with advance directives (AD), cases in which documented ADs were ignored, and most important measures for improvement of end-of-life care were requested. RESULTS:486 (45.5%) questionnaires were returned, mostly by nursing staff managers (64.7%) and nursing home directors (29.9%). 64.4% of the respondents rated end-of-life care rather good, the remainder rated it as rather bad. The prevalence of in-hospital death was estimated by the respondents at 31.5% (SD: 19.9). Approximately a third suggested that residents receive hospital treatments too frequently. Respondents estimated that 45.9% (SD: 21.6) of the residents held ADs and that 28.4% (SD: 26.8) of available ADs are not being considered. Increased staffing, better qualification, closer involvement of general practitioners and better availability of palliative care concepts were the most important measures for improvement. CONCLUSIONS:Together with higher staffing, better availability and integration of palliative care concepts may well improve end-of-life care. Prerequisite for stronger ties between nursing home and palliative care is high-quality education of those involved in end-of-life care.

Project description:ImportancePatient transitions from hospitals to skilled nursing facilities (SNFs) require robust information sharing. After a decade of investment in health information technology infrastructure and new incentives to promote hospital-SNF coordination in the US, the current state of information sharing at this critical transition is unknown.ObjectiveTo measure the completeness, timeliness, and usability of information shared by hospitals when discharging patients to SNFs, and to identify relational and structural characteristics associated with better hospital-SNF information sharing.Design, setting, and participantsSurvey of 500 SNFs from a US nationally representative sample (265 respondents representing 471 hospital-SNF pairs; response rate of 53.0%) that collected detailed data on information sharing that supports care transitions from each of the 2 hospitals from which they receive the largest volume of patient referrals. Survey administration occurred between January 2019 and March 2020.Main outcomes and measuresOverall assessment of information completeness, timeliness, and usability using 5-point Likert scales. Detailed measures, including (1) completeness-routine sharing of 23 specific information types; (2) timeliness-how often information arrived after the patient; and (3) usability-whether information was duplicative, extraneous, or not tailored to SNF needs. In addition, 8 relational characteristics (eg, shared staffing, collaborative meetings, and referral volume) and 10 structural characteristics (eg, size, ownership, and staffing) were assessed as potential factors associated with better information sharing.ResultsOf 471 hospital-SNF pairs, 64 (13.5%) reported excellent performance on all 3 dimensions of information sharing, whereas 141 (30.0%) were at or below the mean performance on all dimensions. Social status (missing in 309 pairs [65.7%]) and behavioral status (missing in 319 pairs [67.7%]) were the most common types of missing information. Receipt of hospital information was delayed, sometimes (159 pairs [33.8%]) or often (77 pairs [16.4%]) arriving after the patient. In total, 358 pairs [76.0%] reported at least 1 usability shortcoming. Having a hospital clinician on site at the SNF was associated in multivariate analysis with more complete (odds ratio, 1.72; 95% CI, 1.07-2.78; P?=?.03), timely (odds ratio, 1.76; 95% CI, 1.08-2.88; P?=?.02), and usable (odds ratio, 1.64; 95% CI, 1.02-2.63; P?=?.04) information sharing. Hospital accountable care organization participation was associated with more timely information sharing (odds ratio, 1.88; 95% CI, 1.13-3.14; P?=?.02).Conclusions and relevanceIn this study, US SNFs reported significant shortcomings in the completeness, timeliness, and usability of information provided by hospitals to support patient transitions. These shortcomings are likely associated with a suboptimal transition experience. Shared clinicians represent a potential strategy to improve information sharing but are costly. New payment models such as accountable care organizations may offer a more scalable approach but were only associated with more timely sharing.

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Dataset Information

IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing.

Publications

IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing.

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