Identifying potential predictable indicators for the management of tertiary hospitals.

BACKGROUND: The European University Hospitals Alliance (EUHA) recognises the need to move from the classical approach of measuring key performance indicators (KPIs) to an anticipative approach based on predictable indicators to take decisions (Key Decision Indicators, KDIs). It might help managers to anticipate poor results before they occur to prevent or correct them early. OBJECTIVE: This paper aims to identify potential KDIs and to prioritize those most relevant for high complexity hospitals. METHODS: A narrative review was performed to identify KPIs with the potential to become KDIs. Then, two surveys were conducted with EUHA hospital managers (n = 51) to assess potential KDIs according to their relevance for decision-making (Value) and their availability and effort required to be predicted (Feasibility). Potential KDIs are prioritized for testing as predictable indicators and developing in the short term if they were classified as highly Value and Feasible. RESULTS: The narrative review identified 45 potential KDIs out of 153 indicators and 11 were prioritized. Of nine EUHA hospitals, 25 members from seven answered, prioritizing KDIs related to the emergency department (ED), hospitalisation and surgical processes (n = 8), infrastructure and resources (n = 2) and health outcomes and quality (n = 1). The highest scores in this group were for those related to ED. The results were homogeneous among the different hospitals. CONCLUSIONS: Potential KDIs related to care processes and hospital patient flow was the most prioritized ones to test as being predictable. KDIs represent a new approach to decision-making, whose potential to be predicted could impact the planning and management of hospital resources and, therefore, healthcare quality.

Added value of patient-reported outcome measures (PROMs) after an acute stroke and early predictors of 90 days PROMs.

INTRODUCTION: Value-based health care represents a patient-centered approach by valuing Patient-Reported Outcome Measures (PROMs). Our aim was to describe the additional value of PROMs after an acute stroke over conventional outcome measures and to identify early predictors of poor PROMs. METHODS: Acute stroke patients discharged from a tertiary care hospital followed by a web/phone-based PROMs collection program in the post hospitalization phase. Main PROMs involve anxiety and depression (HADS) (each defined by HADS ≥ 10) and global physical (PHY-) and mental (M-) health (PROMIS-10). PROMIS cut-off raw values of normality were: PHY-PROMIS ≥ 13 and M-PROMIS ≥ 11. An overall health status (OHS) from 0 to 100 was also determined. PROMs related to the different modified Rankin Scale (mRS) grades were defined. Early predictors of PROMs were evaluated. RESULTS: We included 1321 stroke patients, mean age 75 (± 8.6) and 55.7% male; 77.7% returned home. Despite a favorable mRS at 3 months (< 3), a relevant rate of patients considered without symptoms or with mild disability showed unfavorable results in the measured PROMs (8% unfavorable OHS, 15% HAD-depression, 12.1% HAD-anxiety, 28.7% unfavorable M-PROMIS and 33.1% unfavorable PHY-PROMIS results). Along follow-up, only PHY-PROMIS and OHS showed significant improvement (p < 0.01 and 0.03, respectively). The multivariate analysis including discharge variables showed that female sex, higher discharge mRS and discharge to socio-rehabilitation-center (SRC) were independent predictors of unfavorable results in PROMs (p < 0.01). When adding 7 days PROMs results, they emerged as the strongest predictors of 3 months PROMs. CONCLUSIONS: A high proportion of stroke patients show unfavorable results in PROMs at 3 months, even those with favorable mRS, and most results obtained by PROMs during follow-up continued to indicate alterations. Female sex, mRS and discharge to SRC predicted unfavorable results in PROMs, but the strongest predictors of 3 months PROMs were the results of the 7 days PROMs.

A Program of Nurse Management for Unscheduled Consultations of Children With Acute Minor Illnesses in Primary Care.

INTRODUCTION: Attention to patients with acute minor illnesses represents a major burden for primary care. Although programs of nurse care for children with acute minor illnesses in primary care started a long time ago, there is limited information about the results of these programs in current practice. OBJECTIVES: The objective of this study was to assess the feasibility and efficacy of a program of nurse management for unscheduled consultations of children with acute minor illnesses. METHODS: Observational study of children seeking unscheduled consultations for 16 acute minor illnesses in 284 primary care practices during a 2-year period. The program of nurse management used predefined management algorithms. FINDINGS: Among 467,160 consultations performed, case resolution was achieved in 65.4%. The remaining 34.6% of cases were not solved by the primary healthcare nurse due to the existence of signs of alarm and were referred to a pediatrician. Return to consultation during a 7-day period for the same reason as the original consultation was only 2.6%. CONCLUSIONS: A program that uses management algorithms is effective for nurse care management of children with acute minor illnesses in primary care. CLINICAL RELEVANCE: Application of programs of nurse management for unscheduled consultations for children with acute minor illnesses is feasible and effective.

A program of nurse algorithm-guided care for adult patients with acute minor illnesses in primary care.

BACKGROUND: Attention to patients with acute minor-illnesses requesting same-day consultation represents a major burden in primary care. The workload is assumed by general practitioners in many countries. A number of reports suggest that care to these patients may be provided, at in least in part, by nurses. However, there is scarce information with respect to the applicability of a program of nurse management for adult patients with acute minor-illnesses in large areas. The aim of this study is to assess the effectiveness of a program of nurse algorithm-guided care for adult patients with acute minor illnesses requesting same-day consultation in primary care in a largely populated area. METHODS: A cross-sectional study of all adult patients seeking same day consultation for 16 common acute minor illnesses in a large geographical area with 284 primary care practices. Patients were included in a program of nurse case management using management algorithms. The main outcome measure was case resolution, defined as completion of the algorithm by the nurse without need of referral of the patient to the general practitioner. The secondary outcome measure was return to consultation, defined as requirement of new consultation for the same reason as the first one, in primary care within a 7-day period. RESULTS: During a two year period (April 2009-April 2011), a total of 1,209,669 consultations were performed in the program. Case resolution was achieved by nurses in 62.5% of consultations. The remaining cases were referred to a general practitioner. Resolution rates ranged from 94.2% in patients with burns to 42% in patients with upper respiratory symptoms. None of the 16 minor illnesses had a resolution rate below 40%. Return to consultation during a 7-day period was low, only 4.6%. CONCLUSIONS: A program of algorithms-guided care is effective for nurse case management of patients requesting same day consultation for minor illnesses in primary care.