[Hospital readmissions: current problems and perspectives]. / Réadmissions hospitalières : problématique actuelle et perspectives.

Health systems in developed countries are facing the challenge of hospital readmissions, part of which can be considered avoidable. The transition between hospital stay and ambulatory care is a sensitive period in terms of continuity of care and patient safety, and its failure could lead to increased readmissions rate. Various measures have been proposed to reduce the risks associated with this transition, and the combination of various interventions undertaken at all stages of the care process, could reduce readmission rates. A multidisciplinary approach, widely involving all health care providers, both at the hospital and outpatient level, seems to be the key factor to success.

Les pays développés sont de plus en plus confrontés aux réadmissions hospitalières, qui sont problématiques pour des raisons médicales mais également en raison des coûts engendrés et de leur mode de financement. Une partie de ces réadmissions est considérée comme évitable. L'optimisation de la transition entre le séjour hospitalier et la prise en charge ambulatoire, période sensible en termes de continuité de soins et de sécurité des patients, pourrait diminuer ces séjours évitables. Diverses mesures ont été proposées afin de réduire les risques liés à cette transition, et la combinaison d'interventions, menées à toutes les étapes du processus de soins, pourrait diminuer le taux de réadmissions. Un travail multidisciplinaire faisant intervenir des prestataires de soins, des milieux hospitalier et ambulatoire, semble être la clé du succès.

Developing indicators for medication-related readmissions based on a Delphi consensus study.

BACKGROUND: Medication-related readmissions challenge healthcare systems by burdening patients, increasing costs and straining resources. However, to date, there has been no consensus study on indicators for medication-related readmissions. OBJECTIVES: This Delphi study aimed to develop a consensus-based set of indicators for detecting patients at risk of medication-related readmission. METHODS: An expert panel of clinical pharmacists, physicians and nursing experts participated in a two-round Delphi study. In round 1, 31 indicators taken from the literature were rated for relevance on a scale from 1 to 9, with a median rating of 7 or higher suggesting relevance. The RAND/UCLA method was used to determine consensus. In round 2, indicators lacking consensus were re-rated together with a series of new indicators generated by the experts. Additional details were sought for some indicators. The main outcomes were the relevance of, consensus on, and completeness of the proposed indicators for identifying risks of 30-day medication-related readmission. RESULTS: Thirty-eight experts participated in round 1. Consensus was found for all the indicators, with 25 included and 6 excluded. Thirty-four experts participated in round 2. Consensus was found for all 5 newly suggested indicators, and 4 were included. The expert panel prioritized the following indicators: (1) insufficient communication between different healthcare providers, (2) polypharmacy (≥7 medications), (3) low rates of medication adherence (twice-weekly mistakes or missing administration), (4) complex medication regimens (≥3 doses, ≥2 dosage forms and ≥2 administration routes per day), and (5) multimorbidity (≥3 chronic conditions). The final set comprised 29 indicators. CONCLUSIONS: The indicator set developed for flagging potential medication-related readmissions could guide priorities for clinical pharmacy services at hospital discharge, improving patient outcomes and resource use. A validation study of these indicators is planned.

Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists.

BACKGROUND: Clinical decision support systems (CDSS) can help identify drug-related problems (DRPs). However, the alert specificity remains variable. Defining more relevant alerts for detecting DRPs would improve CDSS. AIM: Develop electronic queries that assist pharmacists in conducting medication reviews and an assessment of the performance of this model to detect DRPs. METHOD: Electronic queries were set up in CDSS using "triggers" from electronic health records: drug prescriptions, laboratory values, medical problems, vital signs, demographics. They were based on a previous study where 315 patients admitted in internal medicine benefited from a multidisciplinary medication review (gold-standard) to highlight potential DRPs. Electronic queries were retrospectively tested to assess performance in detecting DRPs revealed with gold-standard. For each electronic query, sensitivity, specificity, positive and negative predictive value were computed. RESULTS: Of 909 DRPs, 700 (77.8%) were used to create 366 electronic queries. Electronic queries correctly detected 77.1% of DRPs, median sensitivity and specificity reached 100.0% (IQRs, 100.0%-100.0%) and 99.7% (IQRs, 97.0%-100.0%); median positive predictive value and negative predictive value reached 50.0% (IQRs, 12.5%-100.0%) and 100.0% (IQRs, 100.0%-100.0%). Performances varied according to "triggers" (p < 0.001, best performance in terms of predictive positive value when exclusively involving drug prescriptions). CONCLUSION: Electronic queries based on electronic heath records had high sensitivity and negative predictive value and acceptable specificity and positive predictive value and may contribute to facilitate medication review. Implementing some of these electronic queries (the most effective and clinically relevant) in current practice will allow a better assessment of their impact on the efficiency of the clinical pharmacist.

Pharmaceutical Interventions on Hospital Discharge Prescriptions: Prospective Observational Study Highlighting Challenges for Community Pharmacists.

BACKGROUND: Transition between hospital and ambulatory care is a delicate step involving several healthcare professionals and presenting a considerable risk of drug-related problems. OBJECTIVE: To investigate pharmaceutical interventions made on hospital discharge prescriptions by community pharmacists. METHOD: This observational, prospective study took place in 14 community pharmacies around a Swiss acute care hospital. We recruited patients with discharge prescriptions (minimum three drugs) from the internal medicine ward of the hospital. The main outcome measures were: number and type of pharmaceutical interventions made by community pharmacists, time spent on discharge prescriptions, number of medication changes during the transition of care. RESULTS: The study included 64 patients discharged from the hospital. Community pharmacists made a total of 439 interventions; a mean of 6.9 ± 3.5 (range 1-16) interventions per patient. All of the discharge prescriptions required pharmaceutical intervention, and 61 (95%) necessitated a telephone call to the patients' hospital physician for clarifications. The most frequent interventions were: confirming voluntary omission of a drug (31.7%), treatment substitution (20.5%), dose adjustment (16.9%), and substitution for reimbursement issues (8.8%). Roughly half (52%) of all discharge prescriptions required 10-20 min for pharmaceutical validation. The mean number of medication changes per patient was 16.4: 9.6 changes between hospital admission and discharge, 2.6 between hospital discharge and community pharmacy, and 4.2 between community pharmacy and a general practitioner's appointment. CONCLUSION: Hospital discharge prescriptions are complex and present a significant risk of medication errors. Community pharmacists play a key role in preventing and identifying drug-related problems.

Using risk analysis to ensure patients' medication safety during hospital relocations and evacuations.

OBJECTIVES: To ensure patient safety and the preparedness of medication processes during hospital relocations and evacuations by using Failure Modes, Effects, and Criticality Analysis (FMECA). METHODS: The relocation of six regional hospitals to a single building, resulting in 400 beds being moved, could be compared with an emergency evacuation. An FMECA was performed on the hospital group's internal medicine and intensive care units (IMU and ICU), examining how medication processes would be affected by a hospital relocation or evacuation. RESULTS: We identified 59 hospital relocation and 68 evacuation failure modes. Failure modes were ranked based on their criticality index (CI; range 1-810). The higher the CI, the greater the patient-related risk. Average initial IMU and ICU hospital relocation CI scores were 160 (range 105-294) and 201 (range 125-343), respectively, subsequently reduced to 32 (-80%) and 49 (-76%) after mitigation measures. Average initial IMU and ICU evacuation CI scores were 319 (range 245-504) and 592 (range 441-810), respectively, subsequently reduced to 194 (-39%) and 282 (-52%). Most mitigation measures (17/22), such as for example checklists, could be implemented in both situations. Due to their unpredictable nature, five measures were specific to evacuation situations. CONCLUSIONS: This study highlights the value of using an FMECA on medication processes to anticipate potential negative impacts on patient safety during hospital relocations or evacuations. Preparation for a hospital relocation can provide useful knowledge and an opportunity to test mitigation measures that might prove useful in evacuations.

External validation of the PAR-Risk Score to assess potentially avoidable hospital readmission risk in internal medicine patients.

BACKGROUND: Readmission prediction models have been developed and validated for targeted in-hospital preventive interventions. We aimed to externally validate the Potentially Avoidable Readmission-Risk Score (PAR-Risk Score), a 12-items prediction model for internal medicine patients with a convenient scoring system, for our local patient cohort. METHODS: A cohort study using electronic health record data from the internal medicine ward of a Swiss tertiary teaching hospital was conducted. The individual PAR-Risk Score values were calculated for each patient. Univariable logistic regression was used to predict potentially avoidable readmissions (PARs), as identified by the SQLape algorithm. For additional analyses, patients were stratified into low, medium, and high risk according to tertiles based on the PAR-Risk Score. Statistical associations between predictor variables and PAR as outcome were assessed using both univariable and multivariable logistic regression. RESULTS: The final dataset consisted of 5,985 patients. Of these, 340 patients (5.7%) experienced a PAR. The overall PAR-Risk Score showed rather poor discriminatory power (C statistic 0.605, 95%-CI 0.575-0.635). When using stratified groups (low, medium, high), patients in the high-risk group were at statistically significant higher odds (OR 2.63, 95%-CI 1.33-5.18) of being readmitted within 30 days compared to low risk patients. Multivariable logistic regression identified previous admission within six months, anaemia, heart failure, and opioids to be significantly associated with PAR in this patient cohort. CONCLUSION: This external validation showed a limited overall performance of the PAR-Risk Score, although higher scores were associated with an increased risk for PAR and patients in the high-risk group were at significantly higher odds of being readmitted within 30 days. This study highlights the importance of externally validating prediction models.

Using risk analysis to anticipate and mitigate failures during a hospital pharmacy relocation.

OBJECTIVES: Documented experiences of relocating hospital pharmacies are rare, but adequate preparation is vital to ensuring smooth pharmacy operation and patient safety. In the autumn of 2019, the Pharmacy of Eastern Vaud Hospitals, composed of four units (Logistics, Manufacturing, Clinical Pharmacy, and Nursing Home Supply), was relocated to a new hospital in just a few days. In this context, a failure modes, effects and criticality analysis (FMECA) was carried out before the relocation in order to anticipate any failure modes likely to affect the pharmacy's missions or patient safety during the move. METHODS: The FMECA was performed by a multidisciplinary team (pharmacists and logisticians) which analysed the complete upcoming process of relocating the pharmacy and its implications. Criticality indices (CIs) were defined based on the matrix developed by Williams et al, which sets a maximum score of 810. Every potential failure mode identified was analysed, and mitigation measures were proposed for each one. RESULTS: The analysis identified 86 potential failures. The mean initial CI calculated for the entire pharmacy relocation was 177 (min 4-max 567), but this was estimated to be reduced to 39 (-78%) after mitigation measures were identified. Within the whole pharmacy, the failures with the highest CIs were identified in the Logistics unit. Among these, the time necessary to transfer the pharmacy's drugs from their traditional alphabetical storage location to their new location using robotic, chaotic storage principles was identified as the riskiest potential failure. Indeed, the rapid availability of emergency medicines would have to be guaranteed at all times. CONCLUSIONS: The present study highlighted the relevance of using an FMECA-type evaluation to anticipate the impact of a hospital pharmacy relocation. This tool enabled pharmacy professionals to structure their potential relocation problems and reflect on mitigation measures in order to provide concerted, realistically applicable solutions before the move.

Development of a predictive score for potentially avoidable hospital readmissions for general internal medicine patients.

BACKGROUND: Identifying patients at high risk of hospital preventable readmission is an essential step towards selecting those who might benefit from specific transitional interventions. OBJECTIVE: Derive and validate a predictive risk score for potentially avoidable readmission (PAR) based on analysis of readmissions, with a focus on medication. DESIGN/SETTING/PARTICIPANTS: Retrospective analysis of all hospital admissions to internal medicine wards between 2011 and 2014. Comparison between patients readmitted within 30 days and non-readmitted patients, as identified using a specially designed algorithm. Univariate and multivariate regression analyses of demographic data, clinical diagnoses, laboratory results, and the medication data of patients admitted during the first period (2011-2013), to identify factors associated with PAR. Using these, derive a predictive score with a regression coefficient-based scoring method. Subsequently, validate this score with a second cohort of patients admitted in 2013-2014. Variables were identified at hospital discharge. RESULTS: The derivation cohort included 7,317 hospital stays. Multivariate logistic regressions found significant associations with PAR for: [adjusted OR (95% CI)] hospital length of stay > 4 days [1.3 (1.1-1.7)], admission in previous 6 months [2.3 (1.9-2.8)], heart failure [1.3 (1.0-1.7)], chronic ischemic heart disease [1.7 (1.2-2.3)], diabetes with organ damage [2.2 (1.3-3.8)], cancer [1.4 (1.0-1.9)], metastatic carcinoma [1.9 (1.3-3.0)], anemia [1.2 (1.0-1.5)], hypertension [1.3 (1.1-1.7)], arrhythmia [1.3 (1.0-1.6)], hyperkalemia [1.4 (1.0-1.7)], opioid drug prescription [1.3 (1.1-1.6)], and acute myocardial infarction [0.6 (0.4-0.9)]. The PAR-Risk Score, derived from these results, demonstrated fair discriminatory and calibration power (C-statistic = 0.699; Brier Score = 0.069). The results for the validation cohort's operating characteristics were similar (C-statistic = 0.687; Brier Score = 0.064). CONCLUSION: This study identified routinely-available factors that were significantly associated with PAR. A predictive score was derived and internally validated.

SIADH and water intoxication related to ecstasy.

Recreational drug use is a significant societal issue and remains a clinical challenge in emergency and critical care departments. We report on a 19-year-old woman admitted to hospital semiconscious and with severe hyponatraemia. Urinalysis was positive for methamphetamine and supported a diagnosis of hyponatraemia related to ecstasy use together with a syndrome of inappropriate antidiuretic hormone secretion (SIADH). The woman was transferred to an intensive care unit, where a hypertonic saline infusion was started. Three hours postadmission she developed polyuria. Follow-up urinalysis at this point was consistent with water intoxication. This case is a reminder that hyponatraemia is a potentially fatal complication after the ingestion of 3,4-methylenedioxymethamphetamine, illustrates the sequential nature of an SIADH and water intoxication and highlights the importance of considering the sequence of onset of hyponatraemia, as the patient may be admitted at any stage.

First case of herpetic meningoencephalitis treated with ganciclovir.

Consensus treatment for herpetic meningoencephalitis is intravenous aciclovir but no guidelines are available for alternative treatment in case of renal failure induced by aciclovir. We report to the best of our knowledge, the first case of herpetic meningoencephalitis treated with success by ganciclovir.

Prescription of Sedative Drugs During Hospital Stay: A Swiss Prospective Study.

BACKGROUND: In recent years, the number of prescriptions for sedative drugs has increased significantly, as has their long-term use. Moreover, sedative use is frequently initiated during hospital stays. OBJECTIVES: This study aimed to describe new prescriptions of sedative drugs during hospital stays and evaluate their maintenance as discharge medication. METHODS: This observational prospective study took place in an internal medicine ward of a Swiss hospital over a period of 3 months in 2014. Demographic (age, sex, diagnosis, comorbidities) and medication data [long-term use of sedative drugs, new regular or pro re nata ('as needed') prescriptions of sedative drugs, drug-related problems] were collected. Sedative medications included: benzodiazepines, Z-drugs, antihistamines, antidepressants, neuroleptics, herbal drugs, and clomethiazole. McNemar's test was used for comparison. RESULTS: Of 290 patients included, 212 (73%) were over 65 years old and 169 (58%) were women; 34% (n = 98) were using sedative drugs long term before their hospital stay, and 44% (n = 128) had a prescription for sedative drugs at discharge-a 10% increase (p < 0.05). Sedative drugs were newly prescribed to 37% (n = 108) of patients during their stay. Among these, 37% (n = 40) received a repeat prescription at discharge. Over half of the sedative drugs were prescribed within 24 h of admission. Drug-related problems were detected in 76% of new prescriptions, of which 90% were drug-drug interactions. CONCLUSION: This study showed that hospital stays increased the proportion of patients who were prescribed a sedative drug at discharge by 10% (absolute increase). These prescriptions may generate long-term use and expose patients to drug-related problems. Promoting alternative approaches for managing insomnia are recommended.

Transition of care: A set of pharmaceutical interventions improves hospital discharge prescriptions from an internal medicine ward.

BACKGROUND: Continuity of care between hospitals and community pharmacies needs to be improved to ensure medication safety. This study aimed to evaluate whether a set of pharmaceutical interventions to prepare hospital discharge facilitates the transition of care. METHODS: This study took place in the internal medicine ward and in surrounding community pharmacies. The intervention group's patients underwent a set of pharmaceutical interventions during their hospital stay: medication reconciliation at admission, medication review, and discharge planning. The two groups were compared with regards to: number of community pharmacist interventions, time spent on discharge prescriptions, and number of treatment changes. RESULTS: Comparison between the groups showed a much lower (77% lower) number of community pharmacist interventions per discharge prescription in the intervention (n=54 patients) compared to the control group (n=64 patients): 6.9 versus 1.6 interventions, respectively (p<0.0001); less time working on discharge prescriptions; less interventions requiring a telephone call to a hospital physician. The number of medication changes at different steps was also significantly lower in the intervention group: 40% fewer (p<0.0001) changes between hospital admission and discharge, 66% fewer (p<0.0001) between hospital discharge and community pharmacy care, and 25% fewer (p=0.002) between community pharmacy care and care by a general practitioner. CONCLUSION: An intervention group underwent significantly fewer medication changes in subsequent steps in the transition of care after a set of interventions performed during their hospital stay. Community pharmacists had to perform fewer interventions on discharge prescriptions. Altogether, this improves continuity of care.

PIM-Check: development of an international prescription-screening checklist designed by a Delphi method for internal medicine patients.

OBJECTIVES: Potentially inappropriate medication (PIM) occurs frequently and is a well-known risk factor for adverse drug events, but its incidence is underestimated in internal medicine. The objective of this study was to develop an electronic prescription-screening checklist to assist residents and young healthcare professionals in PIM detection. DESIGN: Five-step study involving selection of medical domains, literature review and 17 semistructured interviews, a two-round Delphi survey, a forward/back-translation process and an electronic tool development. SETTING: 22 University and general hospitals from Canada, Belgium, France and Switzerland. PARTICIPANTS: 40 physicians and 25 clinical pharmacists were involved in the study.Agreement with the checklist statements and their usefulness for healthcare professional training were evaluated using two 6-point Likert scales (ranging from 0 to 5). PRIMARY AND SECONDARY OUTCOME MEASURES: Agreement and usefulness ratings were defined as: >65% of the experts giving the statement a rating of 4 or 5, during the first Delphi-round and >75% during the second. RESULTS: 166 statements were generated during the first two steps. Mean agreement and usefulness ratings were 4.32/5 (95% CI 4.28 to 4.36) and 4.11/5 (4.07 to 4.15), respectively, during the first Delphi-round and 4.53/5 (4.51 to 4.56) and 4.36/5 (4.33 to 4.39) during the second (p<0.001). The final checklist includes 160 statements in 17 medical domains and 56 pathologies. An algorithm of approximately 31 000 lines was developed including comorbidities and medications variables to create the electronic tool. CONCLUSION: PIM-Check is the first electronic prescription-screening checklist designed to detect PIM in internal medicine. It is intended to help young healthcare professionals in their clinical practice to detect PIM, to reduce medication errors and to improve patient safety.

Unintentional baclofen intoxication in the management of alcohol use disorder.

In recent years, there has been a growing interest in using baclofen for the management of alcohol use disorder. This off-label indication usually involves high doses of the medication. We report a case of severe baclofen overdose in a 66-year-old man. The patient was found severely agitated, and he presented with delirium and auditory hallucinations. At hospital admission, his daily dose was 180 mg baclofen. He was admitted to the intensive care unit for sedation and supportive care. When sedation was withdrawn, the patient presented with a normal neurological status. In this clinical context, baclofen intoxication was suspected. This was confirmed by measuring blood baclofen levels. This intoxication was probably mediated by a combination of risk factors including a high daily dose of baclofen and acute renal failure, conducive to drug accumulation.

Clinical pharmacist's role in implementing a smoking cessation intervention in a Swiss regional hospital: an exploratory study.

BACKGROUND: Smoking cessation represents one of the best means of preventing smoking-related complications. In recent years, a majority of hospitals have implemented smoke-free policies, making support for smoker patients a necessary and indispensable task. The clinical pharmacist is well-positioned to provide this kind of support, given a good understanding of the medical condition and pharmacotherapy of hospitalized patients and the possibility to acquire specific smoking cessation training. OBJECTIVES: This study aimed to evaluate the impact of a smoking cessation intervention for hospitalized patients by a clinical pharmacist previously trained for smoking cessation counselling. SETTING: Internal medicine department of a Swiss regional hospital. METHOD: Smoker patients hospitalized in this department were included in the study from mid-September 2012 to mid-January 2013, according to the inclusion criteria. Moderate-intensity smoking cessation interventions based on smoking counselling and motivational interviewing techniques were used, and a follow-up telephone call at least 1 month after discharge was made. Patients' pharmacotherapy was analysed with regards to interactions with tobacco smoke. MAIN OUTCOME MEASURES: Motivational stage, abstinence at follow-up, change of readiness to quit between hospital visit and follow-up, patients' evaluation of the programme, pharmacotherapy interventions. RESULTS: One hundred smoker patients were screened, of whom 41 received the intervention and 40 received a follow-up contact. At least 1 month after discharge, the readiness to quit of 53 % of patients improved and 33 % of patients declared themselves abstinent. Even though 35 % of patients declared having mild to moderate withdrawal symptoms in hospital, only 15 % were interested in receiving nicotine replacement therapy. Study participants evaluated the intervention positively. CONCLUSION: A moderate-intensity smoking cessation intervention in hospitalized patients was associated with a higher quit rate than in control groups from other studies, and their readiness to quit generally improved at least 1 month after hospital discharge. A clinical pharmacist trained for smoking cessation counselling can play a key role in providing such interventions, including the assessment of pharmacotherapy interactions with tobacco smoke.

[Distribution of antimicrobial guidelines: useful but not enough for an antibiotic stewardship]. / Influence de la distribution d'un référentiel anti-infectieux sur la prise en charge des bactériémies : utile mais pas suffisante.

PURPOSE: Evaluate the impact of distribution of antimicrobial guidelines (AG) on anti-infectious prescriptions (AIP) in patients presenting a bacteraemia. Cost evaluation of AIP with and without intervention of an infectious disease specialist. METHODS: The first evaluation of AIP was performed from January to May 2008 in Douai hospital, France, at day 4 after the initial blood sample using French guidelines (FG). An AG based on FG was distributed in June 2008 to all Medical Doctors. A second evaluation of AIP was performed from July 2009 to October 2010 after AG distribution. In May 2009, an infectious disease specialist arrived. He re-evaluated at day 4 the initial AIP and modified it if necessary based on the bacteriologic results and the AG. In the second period of the study, we evaluated the cost of the AIP after day 4. RESULTS: Anti-infectious at day 1 was suitable in 37/50 (74%) cases before vs. 148/206 (72%) cases after distribution of the AG (P = 0.76). At day 4, anti-infectious was suitable in 26/50 (52%) before vs. 103/206 (50%) cases after distribution of the AG (P = 0.80). In the second period, the overall cost of AIP was estimated at 44,000 Euros with the infectious disease specialist intervention and at 51,000 Euros without. CONCLUSION: Distribution of AG did not significantly improve AIP in patients with bacteraemia. Re-evaluation by an infectious disease specialist could lead to a better anti-infectious usage and potential reduction in costs.