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עמוד בית
Fri, 22.11.24

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December 2022
Tanya Ebert MD, Nimrod Goldschmid MD, Edmond Sabo MD, Efrat City-Elifaz MD

Background: School closures due to the coronavirus disease 2019 (COVID-19) outbreak affected students physically, socially, and psychologically with an increase in the number of children and adolescent presenting with anxiety, depression, and drug abuse.

Objectives: To examine the impact of COVID-19 and lockdown on the mental health of minors during the pandemic period and to characterize the type and number of referrals to a regional psychiatric outpatient clinic.

Methods: This study included 380 children evaluated in an outpatient child psychiatric clinic. They were divided into two groups: before the lockdowns (BLD) (n=248), from January 2019 to February 2020, and during the lockdowns (LD) (n=132), from March 2020 to April 2021.

Results: When comparing the LD to BLD, there was increase in suicide attempts (9.8% vs. 2.8%) and in the use of psychotherapy (81% vs. 56%). There was a decrease in the diagnoses of behavior disorders (29.5% vs. 44.8%) and ADHD (29.5% vs. 50%); as well as a decrease in stimulant usage (22.7% vs. 38%). There was a statistically non-significant increase in the number of children with depression, anxiety, and drug-use disorder.

Conclusions: Many children developed educational, social, emotional, and behavioral gaps during LD, and they lost skills to deal with everyday problems due to social isolation. It is important to follow the long-term impact of the lockdowns and social isolation.

May 2012
Y. Gofin, A. Afek, E. Derazne, A. Toker and A. Shamiss

Background: The medical workforce shortage worldwide varies for different residencies.

Objectives: To determine future gaps in medical specialties in Israel by means of a model and to identify trends and considerations among medical students when they choose their residencies.

Methods: The gap (Gi) assessment model was based upon current demand (Di) and existing (Ei) status for each residency, using the formula [Gi=(Di-Ei)/Ei]. Ei represented the proportion of specific residencies in 2006–2010 out of all Israeli residency graduates and Di was based upon questionnaires filled out by medical students at Sackler and Hadassah medical schools in Tel Aviv and Jerusalem respectively (N=909).

Results: The largest relative shortages (Gi ranges from -1 to 1) were in Pathology (G=-1), Rehabilitation Medicine (-0.9), Radiology (-0.8), General Practice (-0.8) and Anesthesiology (-0.8). The highest relative demands were in Surgical subspecialties (2.9) and Obstetrics/Gynecology (OB/GYN) (1.6). More females than males chose residencies in OB/GYN (19.5% vs. 7.1%, P < 0.001) and pediatrics (28.1% vs. 15.4%, P < 0.001). Surgery subspecialties (9% vs. 23.7%, P < 0.001) were male-predominant. The workload consideration was rated higher among females, while income was rated higher among males. Among students in clinical years, compared to pre-clinical, there was a decline in the selection of some professions, including Surgical subspecialties (9.7% vs. 19.5%, P < 0.001).

Conclusions: The suggested model, based on a survey of demand and current or projected future needs, can be used to assess gaps and plan early interventions. Programs at the level of medical school may affect residency preferences. The decline in selection of surgical professions and the increasing workload as a consideration for residency choice should be given attention.

 


January 2009
H. Gilutz, L. Novack, P. Shvartzman, J. Zelingher, D.Y. Bonneh, Y. Henkin, M. Maislos, R. Peleg, Z. Liss, G. Rabinowitz, D. Vardy, D. Zahger, R. Ilia, N. Leibermann and A. Porath

Background: Dyslipidemia remains underdiagnosed and undertreated in patients with coronary artery disease. The Computer-based Clinical Decision Support System provides an opportunity to close these gaps.

Objectives: To study the impact of computerized intervention on secondary prevention of CAD[1].

Methods: The CDSS[2] was programmed to automatically detect patients with CAD and to evaluate the availability of an updated lipoprotein profile and treatment with lipid-lowering drugs. The program produced automatic computer-generated monitoring and treatment recommendations. Adjusted primary clinics were randomly assigned to intervention (n=56) or standard care arms (n=56). Reminders were mailed to the primary medical teams in the intervention arm every 4 months updating them with current lipid levels and recommendations for further treatment. Compliance and lipid levels were monitored. The study group comprised all patients with CAD who were alive at least 3 months after hospitalization.

Results: Follow-up was available for 7448 patients with CAD (median 19.8 months, range 6–36 months). Overall, 51.7% of patients were adequately screened, and 55.7% of patients were compliant with treatment recommended to lower lipid level. A significant decrease in low density lipoprotein levels was observed in both arms, but was more pronounced in the intervention arm: 121.9 ± 34.2 vs. 124.3 ± 34.6 mg/dl (P < 0.02). A significantly lower rate of cardiac rehospitalizations was documented in patients who were adequately treated with lipid-lowering drugs, 37% vs. 40.9% (P < 0.001).

Conclusions: This initial assessment of our data represent a real-world snapshot where physicians and CAD patients often do not adhere to clinical guidelines, presenting a major obstacle to implementing effective secondary prevention. Our automatic computerized reminders system substantially facilitates adherence to guidelines and supports wide-range implementation.






[1] CAD = coronary artery disease



[2] CDSS = clinical decision support system


September 2005
S. Schwartz, A.I. Eidelman, A. Zeidan, D. Applebaum and D. Raveh
Background: Large family size may be a risk factor for childhood accidents. A possible association with quality of child supervision and rapidity of seeking medical care has not been fully evaluated.

Objectives: To determine whether children with multiple siblings are at increased risk for accidents, to assess whether quality of child supervision varies with family size, and to evaluate the relationship of family size with the rapidity of seeking medical care after an accident.

Methods: We prospectively studied 333 childhood accidents treated at TEREM (emergency care station) or Shaare Zedek Medical Center. Details on family composition and the accident were obtained through parental interview. Family size of the study population was compared with that of the Jerusalem population. Families with one to three children (Group 1) and four or more children (Group 2) were compared with regard to type of supervision and different "Gap times" – the time interval from when the accident occurred until medical assistance was sought ("Gap 1"), the time from that medical contact until arrival at Shaare Zedek ("Gap 2"), and the time from the accident until arrival at Shaare Zedek for those children for whom interim medical assistance either was ("Gap 3A") or was not ("Gap 3B") sought.

Results: Children from families with 1, 2, 3, 4 and ≥5 children comprised 7.2%, 18.3%, 14.4%, 18.6% and 41.4% of our sample compared to 20.4%, 21.8%, 18.4%, 14.7% and 24.7% in the general population respectively. Children from Group 2 were less often attended to by an adult (44.5% vs. 62.0%) and more often were in the presence only of other children at the time of the accident (27.0% vs. 10.5%). Gaps 1, 2 and 3A in Group 2 (6.3 hours, 16.5 hours, 27.8 hours respectively) were longer than for Group 1 (2.7, 10.7, 13.3 hours respectively).

Conclusions: The risk for accidents is increased among children from families with four or more children. The adequacy of child supervision in large families is impaired. There is a relative delay from the time of the accident until these children are brought for treatment. 

April 2005
J. Shemer, I. Abadi-Korek and A. Seifan
 New medical technologies that offer to improve upon or completely replace existing ones are continuously appearing. These technologies are forcing healthcare policymakers to consistently evaluate new treatment options. However, this emerging medical technology has been viewed as a significant factor in increasing the cost of healthcare. The abundance of new medical alternatives, combined with scarcity of resources, has led to priority setting, rationing, and the need for further technology management and assessment. Economic evaluation of medical technologies is a system of analysis within the framework of Health Technology Assessment to formally compare the costs and consequences of alternative healthcare interventions. EEMT[1] can be used by many healthcare entities, including national policymakers, manufacturers, payers and providers, as a tool to aid in resource allocation decisions. In this paper we discuss the historical evolution and potential of EEMT, the practical limitations hindering more extensive implementation of these types of studies, current efforts at improvement, and the ethical issues influencing ongoing development. The Medical Technologies Administration of Israel's Ministry of Health is given as an example of an entity that has succeeded in practically implementing EEMT to optimize healthcare resource allocation.

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[1] EEMT = economic evaluation of medical technologies
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