Catharina van Oostveen

Explaining the amount of care needed by hospitalised surgical patients: a prospective time and motion study

BackgroundHospitals provide care for patients with a variety of diseases, co-morbidities and complications. The actual amount of care these patients need is unclear. Given the recent developments such as ageing, multi-morbidity and budgetary restraints, a practical explanatory model would avail healthcare professionals and managers in determining the demand and costs for clinical care.MethodsSix surgical wards in a Dutch university hospital participated in this prospective time and motion study. Surgeons, nurses and paramedics recorded the time spent on patient care 24/7 by means of PDAs. The investigators extracted possible determining characteristics from a previous systematic review and expert focus group. Total amount of care needed by the patients was expressed as costs involved in medical and nursing time, surgical interventions and diagnostics. Afterwards the investigators applied linear regression analysis to detect significant independent characteristics.Results174 Surgical patients were monitored during their hospital stay. Characteristics significantly influencing the consumed amount of care were: medication during hospitalisation, complications, co-morbidity, medical specialty, age, as well as undergoing surgery and length of stay. Median costs for care were €8.446 per patient admission.ConclusionsThe investigators developed a model that explains the total demand and costs of care needed for surgical patients in a university hospital. The input for this instrument can be derived from readily available data in hospital databases. This makes it a relatively easy instrument to help healthcare professionals and managers appreciate the amount of care needed on (surgical) wards and may be used to appreciate trends in time.

Quantifying the demand for hospital care services: a time and motion study

BackgroundThe actual amount of care hospitalised patients need is unclear. A model to quantify the demand for hospital care services among various clinical specialties would avail healthcare professionals and managers to anticipate the demand and costs for clinical care.MethodsThree medical specialties in a Dutch university hospital participated in this prospective time and motion study. To include a representative sample of patients admitted to clinical wards, the most common admission diagnoses were selected from the most recent update of the national medical registry (LMR) of ICD-10 admission diagnoses. The investigators recorded the time spent by physicians and nurses on patient care. Also the costs involved in medical and nursing care, (surgical) interventions, and diagnostic procedures as an estimate of the demand for hospital care services per hospitalised patient were calculated and cumulated. Linear regression analysis was applied to determine significant factors including patient and healthcare outcome characteristics.ResultsFifty patients on the Surgery (19), Pediatrics (17), and Obstetrics & Gynecology (14) wards were monitored during their hospitalization. Characteristics significantly associated with the demand for healthcare were: polypharmacy during hospitalization, complication severity level, and whether a surgical intervention was performed.ConclusionsA set of predictors of the demand for hospital care services was found applicable to different clinical specialties. These factors can all be identified during hospitalization and be used as a managerial tool to monitor the patients’ demand for hospital care services and to detect trends in time.

Developing and testing a computerized decision support system for nurse-to-patient assignment: A multimethod study

Nurse-to-patient assignment is a frequently recurring, time-consuming, and complex process owing to the many considerations involved. Creating well-balanced, high-quality assignments is crucial to ensuring patient safety, quality of care, and job satisfaction for nurses. A computerized decision support system can assist (charge) nurses in the nurse-to-patient assignment process. In this two-phase multimethod study, a computerized decision support system was developed and evaluated. Three nursing wards in a 1000-bed Dutch university hospital participated. In the first phase of this study, considerations relevant to the assignment process—and their relative importance—were investigated in a literature review, focus group sessionswith nurses, and a survey among nurses. Using information from the first phase, the computerized decision support system was developed based on an integer linear program. In the second phase, a before-and-after study was conducted to test and evaluate the computerized decision support system both quantitatively (duration of the assignment process) and qualitatively (survey on workload). Thirty-six measurements were performed to test the computerized decision support system. After implementation, a 30% time reduction was achieved in the nurse-to-patient assignments, and nurses (N = 138) experienced a lower workload. Therefore, the implementation of computerized decision support system would increase both the quality and safety of care as well as the nurses’ job satisfaction and should be investigated rigorously in the coming years.

Factors determining the patients’ care intensity for surgeons and surgical nurses: a conjoint analysis

BackgroundSurgeons and nurses sometimes perceive a high workload on the surgical wards, which may influence admission decisions and staffing policy. This study aimed to explore the relative contribution of various patient and care characteristics to the perceived patients’ care intensity and whether differences exist in the perception of surgeons and nurses.MethodsWe invited surgeons and surgical nurses in the Netherlands for a conjoint analysis study through internet and e-mail invitations. They rated 20 virtual clinical scenarios regarding patient care intensity on a 10-point Likert scale. The scenarios described patients with 5 different surgical conditions: cholelithiasis, a colon tumor, a pancreas tumor, critical leg ischemia, and an unstable vertebral fracture. Each scenario presented a mix of 13 different attributes, referring to the patients’ condition, physical symptoms, and admission and discharge circumstances.ResultsA total of 82 surgeons and 146 surgical nurses completed the questionnaire, resulting in 4560 rated scenarios, 912 per condition. For surgeons, 6 out of the 13 attributes contributed significantly to care intensity: age, polypharmacy, medical diagnosis, complication level, ICU-stay and ASA-classification, but not multidisciplinary care. For nurses, the same six attributes contributed significantly, but also BMI, nutrition status, admission type, patient dependency, anxiety or delirium during hospitalization, and discharge type. Both professionals ranked ‘complication level’ as having the highest impact.DiscussionThe differences between surgeons and nurses on attributes contributing to care intensity may be explained by differences in professional roles and daily work activities. Surgeons have a medical background, including technical aspects of their work and primary focus on patient curation. However, nurses are focused on direct patient care, i.e., checking vital functions, stimulating self-care and providing woundcare.ConclusionsSurgeons and nurses differ in their perception of patients’ care intensity. Appreciation of each other’s differing interpretations might improve collaboration between doctors and nurses and may help managers to match hospital resources and personnel.

Het effect van leiderschaps- en mentoringsprogramma’s op onderzoeksproductiviteit1

SamenvattingEr is steeds meer bewijs dat verpleegkundige zorg een grote invloed heeft op zowel gezondheid als maatschappij. Om veilige, doelmatige en persoonsgerichte zorg te kunnen blijven leveren, is het belangrijk te investeren in academische carrières van verpleegkundigen.

Nurse staffing issues; just the tip of the iceberg

Background In response to an increasing health care demand due to the rising age and complexity of patients, hospital boards have implemented nurse-to-patient-ratio’s and patient classification systems. However, on the nursing ward, nurses feel that staffing levels have become critically low, which jeopardises the quality and safety of their patient care. The aim of this study is to obtain in-depth insight into the perceptions of nurses on the current nurse staffing levels in the Netherlands and the use of nurse-topatient-ratios and patient classification systems.

What determines the patients’ demand for hospital care services?

Background Hospitals are constantly being challenged to provide high-quality care despite ageing populations, diminishing resources, and budgetary restraints. While the costs of care depend on the patients’ needs, it is not clear which patient characteristics are associated with the demand for care and inherent costs. Therefore, a practical explanatory model would avail healthcare professionals and managers in determining the demand and costs for clinical care. We performed three studies to generate a valid model.