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עמוד בית
Thu, 21.11.24

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March 2008
J. Kertes, M. Dushenat, J. Landes Vesterman, J. Lemberger, J. Bregman and N. Friedman

Background: Bisphosphonates are effective in the prevention and treatment of osteoporosis, yet their use is suboptimal.

Objectives: To measure bisphosphonate compliance among first-time users and identify factors associated with compliance.

Methods: We conducted a prospective follow-up of all women aged 45+ in the second largest health management organization in Israel who were prescribed bisphosphonates for the first time. The 4448 women were classified by drug dosage. Persistence and adherence measures of compliance were calculated for each woman over a 1 year period.

Results: Mean bisphosphonate persistence over a year was 216 days, with a mean medication possession ratio of 66%. Women whose medication was changed, whether from weekly to daily or daily to weekly, always had better persistence rates than those who consistently took the original dose. Persistence rates were as follows: 264 days for women who switched back and forth between daily and weekly doses, 229 days for those who switched from daily to weekly, 222 days for those who took the dosage weekly only, 191 days for those who switched to daily dosage, and 167 days for those who took the dosage daily only (P < 0.001). Switchers were also more likely to have adequate adherence rates (MPR[1] ≥ 80%): 81.3%, 76.6%, 67.5%, 61.3% and 52.2% respectively (P < 0.001). More than 20% of women stopped taking their medication within the first month. Women with higher supplemental insurance (offering significant discounts for weekly dose medications) had better persistence rates: 221 vs. 208 days (P = 0.03). Younger women and women on national pension insurance had the lowest persistence rates: 204 and 209 days respectively.

Conclusions: While weekly bisphosphonate takers had better compliance rates, persistence and adherence rates were inadequate for all groups. Changing medication to meet the needs of the patient, discounting weekly medications, and providing follow-up within the first months of prescription may promote compliance. 






[1] MPR = medication possession ratio


January 2003
J. Shemer, N. L. Friedman, E. Kokia

This paper describes "Health Value Added" – an innovative model that links performance measurement to strategy in health maintanance organizations. The HVA[1] model was developed by Maccabi Healthcare Services, Israel’s second largest HMO[2], with the aim of focusing all its activities on providing high quality care within budgetary and regulatory constraints. HVA draws upon theory and practice from strategic management and performance measurement in order to assesses an HMO’s ability to improve the health of its members. The model consists of four interrelated levels – mission, goals, systems, and resources – and builds on the existence of advanced computerized information systems that make comprehensive measurements available to decision makers in real time. HVA enables management to evaluate overall organizational performance as well as the performance of semi-autonomous units. In simple terms, the sophisticated use of performance measures can help healthcare organizations obtain more health for the same money.






[1] HVA = Health Value Added



[2] HMO = health maintenance organization


November 2000
Jochanan Benbassat, MD, Ziona Haklai, MSc, Shimon Glick, MD and Nurit Friedman, MSc
 Background: In 1995 hospital costs constituted about 42% of the health expenditures in Israel. Although this proportion remained stable over the last decade, hospital discharge rates per 1,000 population increased, while hospitalization days per 1,000 population and average length of stay declined.

Objective: To gain an insight into the forces behind these changes, we compared the trends in hospital utilization in Israel with those in 21 developed countries with available data.

Materials and Methods: Our data were derived from The "Hospitals and Day Care Units, 1995" report by the Health Information and Computer Services of the Israel Ministry of Health, and the Organization for Economic Cooperation and Development Health Data, 98. We examined the numbers of acute care hospital beds, of patients on dialysis and of doctors' consultations, health expenditures and age structure of the population in 1995 or closest year with available data, as well as changes in DRs, HDs and ALOS between 1976 and 1995.

Results: In Israel the DRs increased from 130 in 1976 to 177 in 1995 (36%), HDs declined from 992 to 818 (18%), and ALOS declined from 7.60 to 4.51 days (41%). Relative to other countries, in 1995 Israel had the lowest ALOS; low HDs similar to those in the UK, Portugal, Spain, the USA and Sweden; and intermediate DRs similar to those in Belgium, Germany, Sweden and Australia. The number of acute care beds per 1,000 population was directly related to HDs (r=0.954, P=0.000) and to DRs (r=0.419, P=0.052). Health expenditures (% of the gross national product) correlated with the number of patients on dialysis per 1,000,000 population (r=0.743, P=0.000). Between 1976 and 1995, HDs and ALOS declined in most countries, however the trends in DRs varied from an increase by 119% in the UK to a decline by 29% in Canada.

Conclusions and hypotheses: The increase in DRs in Israel from 1976 to 1995 was shared by many but not all countries. This variability may be related to differences in trends in local practice norms and in available hospital beds. If the number of patients on dialysis is a valid index for use of expensive treatment modalities, the correlation of health expenditures with the number of patients on dialysis suggests that the use of expensive technology is a more important determinant of health care costs than the age of the population or hospital utilization. Since the use of expensive technology is highest during the first few days in hospital, decisions about health care policy should consider the possibility that the savings incurred by a further decline in HDs and ALOS may be offset by a possible increase in per diem hospital costs and in health care expenditures after discharge from hospital.

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