The German quality indicators in intensive care medicine 2013--second edition

Quality indicators in respiratory therapy

Quality indicators in healthcare refer to measurable and quantifiable parameters used to assess and monitor the performance, effectiveness, and safety of healthcare services. These indicators provide a systematic way to evaluate the quality of care offered, and thereby to identify areas for improvement and to ensure that patient care meets established standards and best practices. Respiratory therapists play a vital role in areas of clinical administration such as infection control practices and quality improvement initiatives. Quality indicators serve as essential metrics for respiratory therapy departments to assess and enhance the overall quality of care. By systematically tracking and analyzing indicators related to infection control, treatment effectiveness, and adherence to protocols, respiratory care practitioners can identify areas to improve and implement evidence-based changes. This article reviewed how to identify, implement, and monitor quality indicators specific to the respiratory therapy departments to set benchmarks and enhance patient outcomes.

Machine Learning for Benchmarking Critical Care Outcomes

OBJECTIVES

Enhancing critical care efficacy involves evaluating and improving system functioning. Benchmarking, a retrospective comparison of results against standards, aids risk-adjusted assessment and helps healthcare providers identify areas for improvement based on observed and predicted outcomes. The last two decades have seen the development of several models using machine learning (ML) for clinical outcome prediction. ML is a field of artificial intelligence focused on creating algorithms that enable computers to learn from and make predictions or decisions based on data. This narrative review centers on key discoveries and outcomes to aid clinicians and researchers in selecting the optimal methodology for critical care benchmarking using ML.

METHODS

We used PubMed to search the literature from 2003 to 2023 regarding predictive models utilizing ML for mortality (592 articles), length of stay (143 articles), or mechanical ventilation (195 articles). We supplemented the PubMed search with Google Scholar, making sure relevant articles were included. Given the narrative style, papers in the cohort were manually curated for a comprehensive reader perspective.

RESULTS

Our report presents comparative results for benchmarked outcomes and emphasizes advancements in feature types, preprocessing, model selection, and validation. It showcases instances where ML effectively tackled critical care outcome-prediction challenges, including nonlinear relationships, class imbalances, missing data, and documentation variability, leading to enhanced results.

CONCLUSIONS

Although ML has provided novel tools to improve the benchmarking of critical care outcomes, areas that require further research include class imbalance, fairness, improved calibration, generalizability, and long-term validation of published models.

Quality indicators in intensive care medicine for Germany - fourth edition 2022

The measurement of quality indicators supports quality improvement initiatives. The German Interdisciplinary Society of Intensive Care Medicine (DIVI) has published quality indicators for intensive care medicine for the fourth time now. After a scheduled evaluation after three years, changes in several indicators were made. Other indicators were not changed or only minimally. The focus remained strongly on relevant treatment processes like management of analgesia and sedation, mechanical ventilation and weaning, and infections in the ICU. Another focus was communication inside the ICU. The number of 10 indicators remained the same. The development method was more structured and transparency was increased by adding new features like evidence levels or author contribution and potential conflicts of interest. These quality indicators should be used in the peer review in intensive care, a method endorsed by the DIVI. Other forms of measurement and evaluation are also reasonable, for example in quality management. This fourth edition of the quality indicators will be updated in the future to reflect the recently published recommendations on the structure of intensive care units by the DIVI.

Quality Management in Respiratory Care

The word "quality" refers to the features of a product or service to which a certain value is ascribed. When it comes to hospital-based practices, quality has often been considered to be specific to the care provided. However, this specific perspective is transitioning toward a broader concept after the evolution of quality-improvement projects and quality frameworks at the organizational level. Respiratory therapy departments have been identified as an essential part of any hospital because the key nature of discipline for respiratory therapists is widely understood. Due to their professional accountability and professional values, respiratory therapists often have administrative roles in infection control practices and quality-improvement projects. Therefore, it would be ideal to have a core team of respiratory therapists trained in quality management and to initiate quality-improvement processes at the departmental level. Every respiratory therapy department should have its own quality-improvement team to assist with the process of training, implementation, and analysis. Thus, this article aimed to discuss the role of respiratory therapists and respiratory therapy departments in quality-improvement processes and projects to set benchmarks and enhance outcomes.

The future development of intensive care quality indicators - a methods paper

Introduction: Medical quality indicators (QI) are important tools in the evaluation of medical quality. Their development is subject to specific methodological requirements, which include practical applicability. This is especially true for intensive care medicine with its complex processes and their interactions. This methods paper presents the status quo and shows necessary methodological developments for intensive care QI. For this purpose, a cooperation with the Association of the Scientific Medical Societies' Institute for Medical Knowledge Management (AWMF-IMWi) was established. Methodology: Review of published German manuals for QI development from guidelines and narrative review of quality indicators with a focus on evidence and consensus-based guideline recommendations. Future methodological adaptations of indicator development for improved operationalization, measurability and pilot testing are presented, and a development process is proposed. Results: The development of intensive care quality indicators in Germany is based on an established process. In the future, additional evaluation criteria (QUALIFY criteria) will be applied to assess the evidence base. In addition, a continuous exchange between the national steering committee of the DIVI responsible for QI development and guideline development groups involved in intensive care medicine is planned. Conclusion: Intensive care quality indicators will have to meet improved methodological requirements in the future by means of an improved development process. Future QI development is intended to improve the structure of the development process, with a focus on scientific evidence and a link to guideline projects. This is intended to achieve the goal of a broad application of QI and to further evaluate its relevance for patient outcome and performance of institutions.

Influence of quality of intensive care on quality of life/return to work in survivors of the acute respiratory distress syndrome: prospective observational patient cohort study (DACAPO)

Background

Significant long-term reduction in health-related quality of life (HRQoL) is often observed in survivors of the acute respiratory distress syndrome (ARDS), and return to work (RtW) is limited. There is a paucity of data regarding the relationship between the quality of care (QoC) in the intensive care unit (ICU) and both HRQoL and RtW in ARDS survivors. Therefore, the aim of our study was to investigate associations between indicators of QoC and HRQoL and RtW in a cohort of survivors of ARDS.

Methods

To determine the influence of QoC on HRQoL and RtW 1 year after ICU-discharge, ARDS patients were recruited into a prospective multi-centre patient cohort study and followed up regularly after discharge. Patients were asked to complete self-report questionnaires on HRQoL (Short Form 12 physical component scale (PCS) and mental component scale (MCS)) and RtW. Indicators of QoC pertaining to volume, structural and process quality, and general characteristics were recorded on ICU level. Associations between QoC indicators and HrQoL and RtW were investigated by multivariable linear and Cox regression modelling, respectively. B values and hazard ratios (HRs) are reported with corresponding 95% confidence intervals (CIs).

Results

877 (of initially 1225 enrolled) people with ARDS formed the DACAPO survivor cohort, 396 were finally followed up to 1 year after discharge. The twelve-month survivors were characterized by a reduced HRQoL with a greater impairment in the physical component (Md 41.2 IQR [34–52]) compared to the mental component (Md 47.3 IQR [33–57]). Overall, 50% of the patients returned to work. The proportion of ventilated ICU patients showed significant negative associations with both 12 months PCS (B = − 11.22, CI −20.71; − 1,74) and RtW (HR = 0,18, CI 0,04;0,80). All other QoC indicators were not significantly related to outcome.

Conclusions

Associations between ICU QoC and long-term HrQoL and RtW were weak and largely non-significant. Residual confounding by case mix, treatment variables before or during ICU stay and variables pertaining to the post intensive care period (e.g. rehabilitation) cannot be ruled out.

Trial registration

Clinicaltrials.govNCT02637011.

(December 22, 2015, retrospectively registered)

German-wide prospective DACAPO cohort of survivors of the acute respiratory distress syndrome (ARDS): a cohort profile

PURPOSE

While most research focuses on the association between medical characteristics and residual morbidity of survivors of the acute respiratory distress syndrome (ARDS), little is known about the relation between potentially modifiable intensive care unit (ICU) features and the course of health-related quality of life (HRQoL). Accordingly, the DACAPO study was set up to elucidate the influence of quality of intensive care on HRQoL and return to work (RtW) in survivors of ARDS. The continued follow-up of these former ICU patients leads to the establishment of the DACAPO (survivor) cohort.

PARTICIPANTS

Sixty-one ICUs all over Germany recruited patients with ARDS between September 2014 and April 2016. Inclusion criteria were: (1) age older than 18 years and (2) ARDS diagnosis according to the 'Berlin definition'. No further inclusion or exclusion criteria were applied. 1225 patients with ARDS could be included in the DACAPO ICU sample. Subsequently, the 876 survivors at ICU discharge form the actual DACAPO cohort.

FINDINGS TO DATE

The recruitment of the participants of the DACAPO cohort and the baseline data collection has been completed. The care-related data of the DACAPO cohort reveal a high proportion of adverse events (in particular, hypoglycaemia and reintubation). However, evidence-based supportive measures were applied frequently.

FUTURE PLANS

Three months, 6 months and 1 year after ICU admission a follow-up assessment is conducted. The instruments of the follow-up questionnaires comprise the domains: (A) HRQoL, (B) RtW, (C) general disability, (D) psychiatric symptoms and (E) social support. Additionally, an annual follow-up of the DACAPO cohort focusing on HRQoL, psychiatric symptoms and healthcare utilisation will be conducted. Furthermore, several add-on projects affecting medical issues are envisaged.

TRIAL REGISTRATION NUMBER

NCT02637011.

Quality indicators in intensive care medicine for Germany - third edition 2017

Quality improvement in medicine is depending on measurement of relevant quality indicators. The quality indicators for intensive care medicine of the German Interdisciplinary Society of Intensive Care Medicine (DIVI) from the year 2013 underwent a scheduled evaluation after three years. There were major changes in several indicators but also some indicators were changed only minimally. The focus on treatment processes like ward rounds, management of analgesia and sedation, mechanical ventilation and weaning, as well as the number of 10 indicators were not changed. Most topics remained except for early mobilization which was introduced instead of hypothermia following resuscitation. Infection prevention was added as an outcome indicator. These quality indicators are used in the peer review in intensive care, a method endorsed by the DIVI. A validity period of three years is planned for the quality indicators.

The Reduction in Antibiotic Use in Hospitals

BACKGROUND

Over 350 000 patients are treated in German hospitals for sepsis or pneumonia each year. The rate of antibiotic use in hospitals is high. The growing problem of drug resistance necessitates a reconsideration of antibiotic treatment strategies.

METHODS

Antibiotics were given liberally in the years 2010 and 2011 in a German 312-bed hospital. Special training, standardized algorithms to prevent unnecessary drug orders, and uniform recommendations were used in 2012 and 2013 to lessen antibiotic use. We retrospectively studied the hospital's mortality figures and microbiological findings to analyze how well these measures worked.

RESULTS

Antibiotic consumption fell from 67.1 to 51.0 defined daily doses (DDD) per 100 patient days (p <0.001) from the period 2010-2011 to the period 2012-2013. The mortality of patients with a main diagnosis of sepsis fell from 1% (95/305) to 19% (63/327; p = 0.001), while that of patients with a main diagnosis of pneumonia fell from 12% (22/178) to 6% (15/235; p = 0.038). The overall mortality fell from 3.0% (623/ 20 954) to 2.5% (576/22 719; p = 0.005). In patients with nosocomial urinary tract infections with Gram-negative pathogens (not necessarily exhibiting three- or fourfold drug resistance), the rate of resistance to three or four of the antibiotics tested fell from 11% to 5%.

CONCLUSION

Reducing in-hospital antibiotic use is an achievable goal and was associated in this study with lower mortality and less drug resistance. The findings of this single-center, retrospective study encourage a more limited and focused approach to the administration of antibiotics.

[Knowledge and implementation of the S3 guideline on delirium management in Germany]

BACKGROUND

Delirium is a common complication in critical care. The syndrome is often underestimated due to its potentially no less dangerous course as a hypoactive delirium. Therefore, current guidelines ask for a structured, regular and routine screening in all intensive care units. If delirium is diagnosed, symptomatic therapy should be initiated promptly.

OBJECTIVES

The aim of the current study was to evaluate recent German anesthetists' strategies regarding delirium care compared to the German guidelines for sedation and delirium in intensive care.

METHODS

In an online survey German hospitals' senior anesthetists (n = 922) were interviewed anonymously between May and June 2015 regarding guideline use in delirium management in German intensive care units. In 33 direct questions the anesthetists were invited to answer items regarding the structure of their hospitals, intensive care and delirium therapy in order to review their knowledge of the German delirium guidelines that expired in 2014.

RESULTS

The 249 senior anesthetists who responded to the survey, can be associated with (or represent) a quarter of German intensive care beds and cases, respectively. In every tenth clinic that runs an intensive care unit the guideline was unknown. In three of four intensive care units physicians specified a preferred delirium score, the CAM-ICU (49.4 %) is used most frequently. With knowledge of the guidelines more often a recommended delirium score is used (p = 0.017). However, only 53.6 % of the respondents ascertain a score every eight hours and 36 % have no facility for standardized documentation in the records. At intensive care rounds, a possible diagnosis of delirium is an inherent part in only 34.9 % of the responders even with guideline knowledge. The particular gold standard for the therapy of delirium (alphaagonists for vegetative symptoms; 89.6 %, benzodiazepines for anxiety, 77.5 %; antipsychotics in 86.7 % for psychotic symptoms) is implemented more often with growing knowledge of the guidelines. The latter applies to the implementation of structured programs for delirium prophylaxis, cognition and therapy.

CONCLUSION

For the first time, this study documents knowledge and implementation of the German S3 guidelines for delirium in intensive care. Overall, the guidelines for delirium care are less well executed than those for sedation. With growing knowledge of the guidelines, diagnosis and treatment of delirium fits the guidelines more frequently. The facility to document a delirium score in intensive records is insufficient. Especially a nursing-based delirium strategy could possibly improve implementation of the guidelines, claiming an eight-hour screening and documentation. However, the small number of hospitals that have integrated the guidelines into in-house standard operating procedures (40 %) shows urgent need for optimization. A re-evaluation involving all relevant caretakers could probably improve the implementation of guidelines in intensive care and perioperative medicine.

Influence of quality of care and individual patient characteristics on quality of life and return to work in survivors of the acute respiratory distress syndrome: protocol for a prospective, observational, multi-centre patient cohort study (DACAPO)

BACKGROUND

Health-related quality of life (HRQoL) and return to work are important outcomes in critical care medicine, reaching beyond mortality. Little is known on factors predictive of HRQoL and return to work in critical illness, including the acute respiratory distress syndrome (ARDS), and no evidence exists on the role of quality of care (QoC) for outcomes in survivors of ARDS. It is the aim of the DACAPO study ("Surviving ARDS: the influence of QoC and individual patient characteristics on quality of life") to investigate the role of QoC and individual patient characteristics on quality of life and return to work.

METHODS/DESIGN

A prospective, observational, multi-centre patient cohort study will be performed in Germany, using hospitals from the "ARDS Network Germany" as the main recruiting centres. It is envisaged to recruit 2400 patients into the DACAPO study and to analyse a study population of 1500 survivors. They will be followed up until 12 months after discharge from hospital. QoC will be assessed as process quality, structural quality and volume at the institutional level. The main outcomes (HRQoL and return to work) will be assessed by self-report questionnaires. Further data collection includes general medical and ARDS-related characteristics of patients as well as sociodemographic and psycho-social parameters. Multilevel hierarchical modelling will be performed to analyse the effects of QoC and individual patient characteristics on outcomes, taking the cluster structure of the data into account.

DISCUSSION

By obtaining comprehensive data at patient and hospital level using a prospective multi-centre design, the DACAPO-study is the first study investigating the influence of QoC on individual outcomes of ARDS survivors.

International multidisciplinary consensus conference on multimodality monitoring: ICU processes of care

There is an increased focus on evaluating processes of care, particularly in the high acuity and cost environment of intensive care. Evaluation of neurocritical-specific care and evidence-based protocol implementation are needed to effectively determine optimal processes of care and effect on patient outcomes. General quality measures to evaluate intensive care unit (ICU) processes of care have been proposed; however, applicability of these measures in neurocritical care populations has not been established. A comprehensive literature search was conducted for English language articles from 1990 to August 2013. A total of 1,061 articles were reviewed, with 145 meeting criteria for inclusion in this review. Care in specialized neurocritical care units or by neurocritical teams can have a positive impact on mortality, length of stay, and in some cases, functional outcome. Similarly, implementation of evidence-based protocol-directed care can enhance outcome in the neurocritical care population. There is significant evidence to support suggested quality indicators for the general ICU population, but limited research regarding specific use in neurocritical care. Quality indices for neurocritical care have been proposed; however, additional research is needed to further validate measures.

[Quality assurance concepts in intensive care medicine]

Intensive care medicine (ICM) is characterized by a high degree of complexity and requires intense communication and collaboration on interdisciplinary and multiprofessional levels. In order to achieve good quality of care in this environment and to prevent errors, a proactive quality and error management as well as a structured quality assurance system are essential. Since the early 1990s, German intensive care societies have developed concepts for quality management and assurance in ICM. In 2006, intensive care networks were founded in different states to support the implementation of evidence-based knowledge into clinical routine and to improve medical outcome, efficacy, and efficiency in ICM. Current instruments and concepts of quality assurance in German ICM include core intensive care data from the data registry DIVI REVERSI, quality indicators, peer review in intensive care, IQM peer review, and various certification processes. The first version of German ICM quality indicators was published in 2010 by an interdisciplinary and interprofessional expert commission. Key figures, indicators, and national benchmarks are intended to describe the quality of structures, processes, and outcomes in intensive care. Many of the quality assurance tools have proved to be useful in clinical practice, but nationwide implementation still can be improved.

[Quality assurance and quality management in intensive care]

Treatment success in hospitals, particularly in intensive care units, is directly tied to quality of structure, process, and outcomes. Technological and medical advancements lead to ever more complex treatment situations with highly specialized tasks in intensive care nursing. Quality criteria that can be used to describe and correctly measure those highly complex multiprofessional situations have only been recently developed and put into practice.In this article, it will be shown how quality in multiprofessional teams can be definded and assessed in daily clinical practice. Core aspects are the choice of a nursing theory, quality assurance measures, and quality management. One possible option of quality assurance is the use of standard operating procedures (SOPs). Quality can ultimately only be achieved if professional groups think beyond their boundaries, minimize errors, and establish and live out instructions and SOPs.

End-of-life decisions in intensive care medicine-shared decision-making and intensive care unit length of stay

BACKGROUND

Most deaths on the intensive care unit (ICU) occur after end-of-life decisions (EOLD) have been made. During the decision-making process, responsibility is often shared within the caregiver team and with the patients' surrogates. The intensive care unit length of stay (ICU-LOS) of surgical ICU-patients depends on the primary illness as well as on the past medical history. Whether an increasing ICU-LOS affects the process of EOLD making is unknown.

METHODS

A retrospective analysis was conducted on all deceased patients (n = 303) in a 22-bed surgical ICU of a German university medical center. Patient characteristics were compared between surgical patients with an ICU-LOS up to 1 week and those with an ICU-LOS of more than 7 days.

RESULTS

Deceased patients with a long ICU-LOS received more often an EOLD (83.2% vs. 63.6%, p = 0.001). Groups did not differ in urgency of admission. Attending intensivists participated in every EOLD. Participation of surgeons was significantly higher in patients with a short ICU-LOS (24.1%, p = 0.003), whereas nurses and the patients' surrogates were involved more frequently in patients with a long ICU-LOS (18.8%, p = 0.021 and 18.9%, p = 0.018, respectively).

CONCLUSION

EOLDs of surgical ICU-patients are associated with the ICU-LOS. Reversal of the primary illness leads the early ICU course, while in prolonged ICU-LOS, the patients' predicted will and the expected post-ICU-quality of life gain interest. Nurses and the patients' surrogates participate more frequently in EOLDs with prolonged ICU-LOS. To improve EOLD making on surgical ICUs, the ICU-LOS associated participation of the different decision makers needs further prospective analysis.

Voluntary peer review as innovative tool for quality improvement in the intensive care unit--a retrospective descriptive cohort study in German intensive care units

Introduction: Quality improvement and safety in intensive care are rapidly evolving topics. However, there is no gold standard for assessing quality improvement in intensive care medicine yet. In 2007 a pilot project in German intensive care units (ICUs) started using voluntary peer reviews as an innovative tool for quality assessment and improvement. We describe the method of voluntary peer review and assessed its feasibility by evaluating anonymized peer review reports and analysed the thematic clusters highlighted in these reports.

Methods: Retrospective data analysis from 22 anonymous reports of peer reviews. All ICUs – representing over 300 patient beds – had undergone voluntary peer review. Data were retrieved from reports of peers of the review teams and representatives of visited ICUs. Data were analysed with regard to number of topics addressed and results of assessment questionnaires. Reports of strengths, weaknesses, opportunities and threats (SWOT reports) of these ICUs are presented.

Results: External assessment of structure, process and outcome indicators revealed high percentages of adherence to predefined quality goals. In the SWOT reports 11 main thematic clusters were identified representative for common ICUs. 58.1% of mentioned topics covered personnel issues, team and communication issues as well as organisation and treatment standards. The most mentioned weaknesses were observed in the issues documentation/reporting, hygiene and ethics. We identified several unique patterns regarding quality in the ICU of which long-term personnel problems und lack of good reporting methods were most interesting

Conclusion: Voluntary peer review could be established as a feasible and valuable tool for quality improvement. Peer reports addressed common areas of interest in intensive care medicine in more detail compared to other methods like measurement of quality indicators.

[Eleven years of core data set in intensive care medicine. Severity of disease and workload are increasing]

BACKGROUND

In the year 2000 a working group of the German Interdisciplinary Association for Intensive Care Medicine (DIVI) defined a core data set on quality assurance for the first time. In the following years the participating intensive care units sent data to the registry on a voluntary basis and received an annual report on benchmarking data. Alterations in the quality in the field of intensive care medicine have so far only been published to a very low extent.

AIM

This study analyzed the core date set of the DIVI between 2000 and 2010 in respect to changes in disease severity using the simplified acute physiology score (SAPS II), the sequential organ failure assessment (SOFA), the need for therapeutic interventions with the therapeutic intervention scoring system (TISS 28) and intensive care unit (ICU) mortality.

MATERIAL AND METHODS

Inclusion criteria were participation in the registry for at least 4 years, SAPS II, SOFA, TISS28 scores available and data on ICU discharge. A standardized mortality rate (SMR) was calculated for each year.

RESULTS

The mean SAPS II score including 94,398 patients increased by 0.23 points/year with a standard error (SE) of 0.02 to 26.9 ± 12 points (p < 0.001). Similarly, the SOFA score on admission to the ICU increased by 0.14 points/year (SE 0.04) to 3.4 ± 2.7 points (p < 0.001), the proportion of patients with a two organ failure doubled to 7.1 % and the number of patients dependent on ventilation increased by 13.6 % to 59.8 %. The mean time on ventilation increased by 0.17 ventilator days/year (SE 0.01, p < 0.001) to 3.1 ± 7.5 days/patient. The mean number of therapeutic interventions increased by 8.7 % to 26.3 ± 8.3 TISS 28 points/day. The mean length of stay on the ICU (4.3 ± 8 days) and the age of the patients (63.2 ± 17.0 years) remained unchanged. The readmission rate showed no significant changes between the years 2004 and 2010. The readmission rate to the ICU within 48 h after primary discharge was 3.1 % with a 95 % confidence interval (CI) of 3.0-3.3 in contrast to 1.5 % (95 % CI 1.4-1.6) for readmission to the ICU after 48 h. The length of stay in hospital before admission to the ICU decreased for patients with scheduled surgery (6.3 ± 9.7 days vs. 4.2 ± 6.9 days), increased slightly for patients with medically indicated admission to the ICU (2.4 ± 8.2 days 3.1 ± 8.6 days) and remained unchanged for patients with unscheduled admission to the ICU after surgery (4.1 ± 8.6 days). The SMR decreased between 2000 and 2004 from 0.97 to 0.72 and increased again thereafter to 0.99 (ICU mortality 8.5 %).

CONCLUSION

The severity of disease on admission to the ICU, the proportion of patients on ventilation and the workload of therapeutic interventions increased between 2000 and 2010 in German ICUs but the length of stay of patients in the ICU remained unchanged. The SMR decreased until 2005 and increased thereafter to return to the initial values. The overall ICU mortality was low compared to international data.

[Concept for a department of intensive care]

BACKGROUND

Demographic change and increasing complexity are among the reasons for high-tech critical care playing a major and increasing role in today's hospitals. At the same time, intensive care is one of the most cost-intensive departments in the hospital.

PREREQUISITES

To guarantee high-quality care, close cooperation of specialised intensive care staff with specialists of all other medical areas is essential. A network of the intensive care units within the hospital may lead to synergistic effects concerning quality of care, simultaneously optimizing the use of human and technical resources.

GOAL

Notwithstanding any organisational concepts, development and maintenance of the highest possible quality of care should be of overriding importance.

[The respiratory therapist in the intensive care unit team]

Qualified respiratory therapists have been an integral part of the U.S. health care system for over 50 years now and are an indispensable part of the system. Respiratory therapy involves the entire respiratory system and should not to be confused with breathing therapy. The latter includes only certain breathing techniques. Since 2005, the German Respiratory Society also offers nurses and physiotherapists training in respiratory therapy. The core competencies of the numerous intensive care respiratory therapists employed in German intensive care units include, among others, the diagnosis and treatment of acute and chronic respiratory failure, including invasive and non-invasive respiratory therapy, excessive secretion management, including bronchoscopic airway clearance, and inhalation therapy.