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                                                                                                      form was independently reviewed by two physicians (who were
                                                                                                      electronic forms by trained research nurses. Subsequently, each
                                                                                                      manually recorded. Data were abstracted and summarized into
                                                                                                      nursing notes. For each record, the total medication dose was
                                                                                                      progress and consultation notes, discharge summaries, and
                                                                                                      medication lists, laboratory reports, admission histories,
                                                                                                      triggers and potential ADEs. We reviewed physician orders,
                                                                                                      charts were initially reviewed by a research nurse to identify
                                                                                                      ing changes were reached only by consensus. Hospitalization
                                                                                                      and discussed the need for trigger adaptation. Decisions regard-
                                                                                                      tion, all listed researchers reviewed the various ADE triggers
                                                                                                      the methodology as set by the IHI [10]. Prior to the study initia-
                                                                                                      ADE identification and characterization was conducted using
                                                                                                      CHART REVIEw fOR ADVERSE DRug EVEnTS
                                                                                                      institutional review board at each of the participating hospitals.
                                                                                                      Corp, Richmond, CA, USA). The study was approved by the
                                                                                                      Microsoft Excel (version 14.0.6212.5000) software (Microsoft
                                                                                                      hospitalizations to be included in the study sample using
                                                                                                      the inclusion criteria were included. We then randomly selected
                                                                                                      stay between 2 days and 1 month. All hospitalizations that met
                                                                                                      hospitalized patients 18 years of age or older with a hospital
                                                                                                      2014 at each of the four hospitals studied. Inclusion criteria were
                                                                                                      cine and surgical departments between January and December
                                                                                                      comprised patients who had been hospitalized in internal medi-
                                                                                                      the other three having a partial system. The study population
                                                                                                      chart usage, with one having a full system including CPOE and
                                                                                                      pitals had different levels of sophistication in electronic medical
                                                                                                      medical centers varying in size from 326 to 1517 beds. The hos-
                                                                                                      geographical regions. All four hospitals are public academic
                                                                                                      surveying four general hospitals in Israel located in different
                                                                                                      The study was a retrospective descriptive correlative analysis
                                                                                                      STuDy pOpulATIOn AnD SETTIng
                                                                                                      PATIENTS AND METHODS
                                                                                                      in Israel and to define the ADE rates in four different hospitals.
                                                                                                      objective of the present study was to validate the Trigger Tool
                                                                                                      of 25% and 32% in 1997 and 1998, respectively [20,21]. The
                                                                                                    In Israel, the evidence is scant with estimated ADE rates
                                                                                                      was not adopted in British hospitals.
                                                                                                      mated 40% sensitivity for preventable ADEs, the Trigger Tool
                                                                                                      the relatively low PPV in the British study, along with an esti-
 In Israel, the medical field is seeing the first signs of activity
                                                                                                      prevalence of 3.4% in Britain and 15.6% in Brazil [17,19]. Given
                                                                                                      [16,17]. This finding is further reflected by variance in ADE
                                                                                                      between 4.0% and 21.5% in Britain and Belgium, respectively
                                                                                                      predictive value (PPV). The latter has been reported to range
                                                                                                      were shown to affect the Trigger Tool sensitivity and its positive
                                                                                                      However, between-country differences in medical practices
                                                                                                      more ADEs in approximately one-third of all hospitalizations.
                                                                                                      the Trigger Tool was shown to assist in identifying 10 times
                                                                                                      Furthermore, compared to other ADE reporting systems,
 ConferenCe preCedings  ConferenCe preCedings  saying, “In what may be called the natural method of teaching,   William Osler addressed the New York Academy of Medicine   participate in the teaching process started in 1903, when Sir   professional work (publication in process). Having the patient   field and 81% felt that the program contributes to their daily   program was of added value to practitioners in the diabetes   ing were conducted. All participants noted that t
 #
 patient Involvement in the Design and policy in   patients with an identified ADE were older (P = 0.009), were   Table 1. Trigger Tool list based on the IHI Trigger Tool, adjusted to Israel
 Healthcare: Highlights from the 4th Annual Conference   more often females (P = 0.009), had higher exposure to daily   Trigger #  Description  Triggers   ADEs   positive
          medication doses (P < 0.001), and endured a longer hospital
                                                                                                         predictive value
                                                                                                    found
                                                                                              found
 on Therapeutic patient Education in Diabetes OTzMA,    stay (P < 0.001) [Table 2].   T1  Diphenhydramine administration  14  7 4  50%
            Overall, 1.54 ADEs were found for every 100 days of hos-
                                                                 Vitamin K administration
                                                                                                         36.36%
                                                          T2
                                                                                              11
          pitalization, 7.8 ADEs per 100 admissions, and 1.81 ADEs for   Antiemetic administration
 21 March 2018  every 1000 doses of medication. Of the 77 ADEs identified,   T4  Antidiarrheals   112  13  11.61%
          22.7% were judged as preventable. Fifty events (64.9%) were   T6                    8     1    12.5%
 Vardit M. Kalamaro PharmD , Karen Harshkop RN PhD , Rose Lipner  and Orly Tamir MHA MSc PhD 1  classified as temporary injury requiring intervention, 25 (32.5%)   T7  Kayexalate (sodium polystyrene) administration  24  4  16.67%
 1
 1
 2
          required prolongation of hospital stay, and 2 (2.6%) events   T8  Blood glucose concentration ≤ 50 g/dl  12  5  41.67%
 1 Israeli Center for Research and Policy in Diabetes, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel   resulted in death [Table 3].  T9  Clostridium difficile positive stool  3  0  N/A
 2 Department of Nutrition and Dietetics, New York University, New York, New York, USA
            The most common triggers involved prescribing antiemetics   T11  INR > 6          1     0    N/A
 131118-COHANIM - 131118-COHANIM | 1 - A | 18-11-13 | 11:24:13 | SR:-- | Magenta
          (T4, 112 times), abrupt medication stoppage (T18, 100 times),   T12  White blood count ≤ 3000/mm 3  7  3  42.86%
 131118-COHANIM - 131118-COHANIM | 1 - A | 18-11-13 | 11:24:13 | SR:-- | Yellow
 #131118-COHANIM - 131118-COHANIM | 1 - A | 18-11-13 | 11:24:13 | SR:-- | Black
          rise in serum creatinine (T15, 57 times), transfer to higher level   T13  Thrombocytopenia ≤ 50,000/mm 3  9  1  11.11%
 131118-COHANIM - 131118-COHANIM | 1 - A | 18-11-13 | 11:24:13 | SR:-- | Cyan
          of care (T19, 37 times), and Kayexalate (sodium polystyrene)   T15  Rise in serum creatinine  57  10  17.54%
 economic burden [3,4]. Karasik emphasized that the process   administration (T7, 24 times). T4, T18, and T15 were the most   T16  Over sedation, lethargy, or falls  13  5  38.46%
 KEY WORDS:  4th Annual Conference on Therapeutic Patient Education in   of implementing patient involvement within the Israeli health-  frequent triggers that resulted in ADE identification. Further   T17  Rash  13  2  15.38%
 Diabetes, diabetes education program, healthcare policy,   care system is slow and that the time has come to adapt and   analysis for PPV per individual trigger demonstrated that pre-  T18  Abrupt cessation of medication  100  19  19.0%
 patient advocacy, patient involvement  learn from other countries that have already integrated patient   scribing antihistamines (T1, 50.0%), leukopenia (T12, 42.86%),   T19  Transfer to higher level of care  37  1  2.70%
      IMAJ 2018; 20: 722–724  involvement within their national health system [3-5].   hypoglycemia (T8, 41.67%), falls (T16, 38.46%), and vitamin K   ADE = adverse drug events, IHI = Institute of Healthcare improvement, INR = international
 England is an example of a country that has instituted   administration (T2, 36.36%) had the highest predictive values   normalized ratio, N/A = not applicable
 patient involvement within health policy initiatives. In April   for ADE identification. Triggers for naloxone administration
 2017, the United Kingdom National Health System (NHS),   (T5) as well as elevated digoxin levels (T14) were not identified   Table 2. Group characteristics according to the presence of adverse
 published an official updated version of their Patient and Public   in any of the charts.  drug events
 he 4th Annual Conference on Therapeutic Patient Edu-   Participation Policy, which was designed to strengthen patient   Based on trigger frequency and their PPVs, a consensus   Variable  No ADE  With ADE  P value
 T cation in Diabetes was held at the Daniel Hotel in Herzliya,   and public interest in the NHS [3]. The British health system   panel comprised of researchers who were part of this study   Hospitalizations (%)  888 (92.5)  72 (7.5)  –
 Israel, on 21 March 2018. The focus of the conference was to   recognizes patients and the public. This group includes every-  decided on inclusion and exclusion of triggers, thus suggesting   Age, years   64.0 ± 19.6  70.3 ± 16.1  0.009
 raise awareness of the expanding trend of patient involvement   one who uses services, who may do so in the future, or who is   a tool to be used for Israeli hospitals. Compared to the original   Gender, female (%)  430 (48.4)  47 (65.3)  0.009
 in the design and policy in healthcare [1].   strengthening their participation in various aspects of making   Trigger Tool, the Israeli customized tool excludes four triggers   Department (%)  Surgical  200 (93.9)  13 (6.1)
 Over the last 2 decades healthcare has gone from a patri-  health policy.   in total (T3, T5, T10, T14), ending up with 15 triggers.   Medical  688 (92.1)  59 (7.9)  0.465*
 archal conception, in which the healthcare provider dictates   The patients and public are involved at all levels, including   Mean daily doses   41.4 ± 42.5  63.8 ± 55.3  < 0.001
 treatment approaches to disease, to a more patient-centered   commissioning processes and decisions like planning, buying,   Length of hospital stay, days   4.9 ± 2.8  6.9 ± 4.4  < 0.001
 approach in which there is a partnership between the patient   and monitoring services. They are also involved in the ongo-  DISCUSSION  *P value for differences in departments relates to differences between ADE
 and healthcare provider in determining a treatment plan. As a   ing work of various committees and working groups related to   To the best of our knowledge, the current study is the first to   rates in surgical and medical departments, significant values are in bold
 result, patients and their families are becoming more involved   health policy and research in health.   measure ADE rates in Israel using a standardized international   ADE = adverse drug events
 and active also within the policy-making processes in health-  method that enables the comparison of local ADE rates with   Table 3. List of adverse events severity
 care systems [2].   pATIEnT InVOlVEMEnT: BMJ pATIEnT pARTnERSHIp pROgRAM  other countries. This research is particularly important given
 The conference was organized by the OTZMA Diabetes   Dr. Tessa Richards, senior editor at the British Medical Journal   the major attention this topic has gained during the last two   Injury level    Number   Preventable    Most prevalent triggers,
                                                                              (%)
                                                                                      n (%)
                                                          (category)
                                                                       (%)
 Care Initiative. Clinicians, healthcare providers, and patients   (BMJ) and leader of the BMJ patient partnership initiative,   decades. Varying cultures, policies, economic considerations,   Temporary   50 (64.9)  10 (20)  T4: Antiemetic
 from transverse health systems attended the conference, which   presented the BMJ patient partnership program, which began   and technologies may all affect ADE rates and hence compari-  harm requiring   administrations, 13 (26)
 focused on patient involvement in various processes within   about 4 years earlier with the implementation of an innovative   sons among countries is somewhat difficult. Nevertheless, in   intervention (E)  T18: Abrupt cessation of
                                                                                      medication, 11 (22)
 the healthcare system. Participants presented specific activi-  strategy called “Walking the Talk” [6]. Within the program, an   our study ADE rates per 100 admissions were similar to reports   T1: Antihistamine
 ties regarding the design of services and policy changes, which   international patient advisory panel was established to develop   in Britain (3.4) and significantly lower than what was reported   administration, 7 (14)
 occur in other countries or in Israel.  a plan to promote patient partnership. The BMJ aspired to   in Brazil (26.6), the United States (18.7), and Belgium (25.83)   Temporary   25 (32.5)  7 (28)  T18: Abrupt cessation of
                                                                                      medication, 8 (32)
                                                          harm requiring
 advance a change in healthcare systems. Richards discussed   [Table 4]. Furthermore, preventable ADE rates are consistent   prolongation of   T15: Rise in serum
 pATIEnT InVOlVEMEnT: RESEARCH AnD THE HEAlTHCARE SySTEM  the reasons for this move and how the strategy was developed   with the previously reported rate of 28% [4].  hospitalization (F)  creatinine, 6 (24)
 Chairman of the conference, Prof. Avi Karasik, president of the   including its evolution and attempts to spread this initiative   A mean PPV of 17.8% is higher than the predictive values   Permanent harm (G)  0 (0)  0 (0)  None
 Israel Endocrine Society, highlighted the importance of more   across the 70 journals of the BMJ group and beyond. For   reported in studies from most other countries (range 4.0%–  Intervention required  0 (0)  0 (0)  None
                                                          to sustain life (H)
 example, authors of research papers have been asked to state
          21.50%). This finding helps to validate the adopted Trigger Tool
 patient involvement in research and the healthcare system,
 PERFECTOR  recognizing that presenting the service to the recipients, who   whether and how they involved patients when choosing their   in Israel. The difference in rates might be due to the trigger adap-  ≤ 3000/mm 3 , 1 (50)
                                                          Death (I)
                                                                              0 (0)
                                                                       2 (2.6)
                                                                                      T12: Leukopenia
 are patients and their families, at the planning stage will lead to
          tation that was designed prior to the initiation of the study ini-
 research questions, study designs, and outcome measures, as
                                                                                      T13: Thrombocytopenia
                                                                                      ≤ 50,000mm 3 , 1 (50)
          tiations. Based on updated guidelines, flumazenil is rarely used
 better patient services and health outcomes and will lower the
 well as how they implemented and disseminated study results.
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