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Table 1 Summary of reviewed studies

From: A systematic review on hospital inefficiency in the Eastern Mediterranean Region: sources and solutions

Author

Year

Country

Hospital type

Number of hospitals

Method used to calculate efficiency

Input and outputs

Source of inefficiency

Al-Shammari [19]

1999

Jordan

Hospitals of MoH*

15

DEA

Inputs: Numbers of bed-days, physicians, health workforce

Outputs: Numbers of inpatient days, minor operations, major operations

Excess resources

Ramanathan [20]

2005

Oman

Regional and Wilayat hospitals (MoH), Sultan Qaboos University Hospital, Hospital of the Royal Oman Police

20

DEA (Malmquist index)

Inputs: Numbers of beds, physicians, and other medical workforces.

Outputs: Number of visits, in-patient services, surgical operations

Partial utilization of inputs, lack of full compliance with technological changes

Hajialiafzali [21]

2007

Iran

Hospitals affiliated with the Social Security Organization

53

DEA (frontier-based methods)

Inputs: Total numbers of FTE* medical doctors, of FTE nurses, of other FTE workforces, number of beds

Outputs: Numbers of outpatient visits and emergency visits, ratio of major surgeries to total surgeries, total numbers of medical interventions and surgical procedures

Partial utilization of inputs

Hatam [15]

2008

Iran

Hospitals affiliated with the Social Security Organization

18

DEA (frontier-based methods)

Inputs: Numbers of beds, FTE, total expense

Outputs: Patient-days, BOR*, BTR,* ALS*, ratio of available beds to constructed beds, hoteling expense, bed-day costs, workforce costs

Unused beds

Goshtasebi [22]

2009

Iran

MoH hospitals

6

Pabon Lasso

Output: ALS, BOR, BTR

Underutilization of resources, high BOR

Jandaghi [23]

2010

Iran

Public and private hospitals

8

DEA (frontier-based methods)

Inputs: Numbers of physicians, nurses, medical workforce, official workforce, annual costs of hospital

Outputs: Numbers of clinical visits, emergency visits, and bed-days

Excess resources

Hatam [24]

2010

Iran

General public hospitals

21

DEA (frontier-based methods)

Inputs: Numbers of hospital beds, FTE physicians, nurses, and other workforces

Outputs: BOR, patient–day admissions, bed-days, ALS, BTR

Lack of motivation to select inputs to minimize expenses caused by the fact that hospitals are public and therefore do not seek profitability.

Shahhoseini [25]

2011

Iran

Provincial hospitals

12

DEA (frontier-based methods)

Inputs: Numbers of active beds, nurses, physicians, and other professionals

Outputs: Number of surgeries, outpatients visits, BOR, ALS, inpatient days

Excess resources

Ketabi [26]

2011

Iran

Hospitals in Isfahan

23

DEA

Inputs: Average numbers of active beds, medical equipment, workforce (such as doctors, nurses and technicians)

Outputs: BOR (%), ALS, total percentage of survival, performance ratio

Excess medical equipment, workforce and technology for teaching and private hospitals. Teaching hospitals are less efficient because of bureaucratic processes and private hospitals have lower BORs.

Bahadori [27]

2011

Iran

Hospitals affiliated with Urmia University of Medical Sciences

23

Pabon Lasso

Output: ALS, BOR, BTR

Poor performance in BOR and/or BTR in 60.87% of hospitals.

Al-Shayea [28]

2011

Saudi Arabia

Khalid University Hospital

1 (9 departments)

DEA

Inputs: doctors’ total salary, nurses’ total salary

Outputs: Numbers of in-patients, outpatients, bed and average turnover rate

High costs of inputs

Kiadaliri [29]

2011

Iran

General hospitals affiliated with Ahvaz Jondishapour University of Medical Sciences

19

DEA (frontier-based methods)

Inputs: beds, human resources

Outputs: inpatient days, outpatient days, number of surgeries, BOR

Inappropriate hospital sizes

Osmani [30]

2012

Afghanistan

District Hospitals

68

DEA and Tobit regression analysis model

Inputs: Numbers of physicians, midwives, nurses, non-medical workforce, and beds

Outputs: Numbers of outpatient visits, inpatient admissions, and patient days, ALS, BOR, number of hospital beds (proxy for hospital size), bed-physician and outpatient physician ratio, number of physicians

Excess numbers of doctors, nurses, and beds

Farzianpour [31]

2012

Iran

Teaching hospitals of Tehran University of Medical Sciences

16

DEA (frontier-based methods)

Inputs: Numbers of physicians, practicing nurses in health facilities, and active beds

Outputs: Numbers of inpatients, outpatients, ALS

Excess inputs or insufficient outputs

Chaabouni [32]

2012

Tunisia

Public hospitals

10

DEA and The Bootstrap Approach

Inputs: Numbers of physicians, nurses, dentists and pharmacists, other workforces, and beds

Outputs: Numbers of outpatient visits, admissions, post-admission days

High hospital expenditures

Barati Marnani [33]

2012

Iran

Affiliated with Shahid Beheshti University of Medical Sciences

23

Pabon Lasso model and DEA (frontier-based methods)

Pabon Lasso: ALS, BOR, BTR

DEA: Inputs: Numbers of physicians, nurses, other workforces, and active beds

Outputs: BOR, numbers of patients and surgeries

Excess resources

Sheikhzadeh [34]

2012

Iran

Elected public and private hospitals of East Azerbaijani Province

6

DEA (frontier-based methods)

Inputs: Numbers of specialist physicians, general physicians, nurses, residents, medical team workforce with a degree (Bachelor’s), medical team, nonmedical and support workforce, and active beds

Outputs: Numbers of emergency patients, outpatients, and inpatients, average daily inpatients residing in hospital

Excess and inefficient inputs: lack of medical services for the amount of resources used.

Yusefzadeh [35]

2013

Iran

Public hospitals

23

DEA

Inputs: Numbers of active beds, doctors, and other workforces

Outputs: Number of outpatients’ admissions and day-beds

Excess inputs or insufficient outputs

Gholipour [36]

2013

Iran

Obstetrics and gynaecology teaching hospitals

2

Pabon Lasso

Output: ALS, BOR, BTR

Low BOR

Arfa [37]

2013

Tunisia

Public hospitals

101

DEA

Five fixed inputs: Numbers of physicians, dentists, mid-wives, nurses or equivalents, and beds. One variable input: budget

Outputs: Numbers of outpatient visits and admissions

Hospitals are not operating at full capacity

Ajlouni [38]

2013

Jordan

Public hospitals

15

DEA and Pabon-Lasso

Pabon Lasso: ALS, BOR, BTR

DEA: Inputs: Numbers of bed-days, physicians per year, and health workforce per year

Outputs: Patient days, numbers of minor operations and major operations

Poor management, treatment of diseases requiring long patient stays

Abou El-Seoud [39]

2013

Saudi Arabia

Public hospitals that have been reformed to operate under private sector management through the full operating system in Saudi Arabia

20

DEA

Inputs: Numbers of specialists, nurses, allied workforce, and beds

Outputs: Numbers of visits, patient hospital admissions, laboratory tests, and beneficiaries of radiological imaging

Administrative weakness to overcome external environmental factors rather than inability to manage internal operations

Bastani [40]

2013

Iran

Hospitals affiliated to the MoH

139

Four hospital performance indicators

Output: ALS, BOR, BTR

Inappropriate hospital sizes

Younsi [41]

2014

Tunisia

30 public and 10 private hospitals

40

Pabon Lasso

Output: ALS, BOR, BTR

Low bed density which may not match population hospital needs. Hospital bed numbers should be increased or maintained.

Torabipour [42]

2014

Iran

Teaching and non-teaching hospitals of Ahvaz County

12

DEA (Malemquist index)

Inputs: Numbers of nurses, beds, and physicians.

Outputs: Numbers of outpatients and inpatients, ALS, number of major operations

Lack of familiarity of managers with advanced hospital technologies, lack of equipment and inappropriate use of technology in diagnosis, care and treatment.

Syed Aziz Rasool [43]

2014

Pakistan

Non-profit private organization (branches of LRBT hospitals)

16

DEA

Inputs: Numbers of beds, specialists, nurses

Outputs: Numbers of outpatient visits, inpatient admissions, and total numbers of surgeries

Lack of government funds to hospitals run by non-profit organizations.

Pourmohammadi [44]

2014

Iran

All hospitals affiliated with the Social Security Organization

64

The Cobb-Douglas model

Inputs: Numbers of physicians, nurses, other workforces, and active beds

Outputs: Number of outpatients and inpatients

Excess workforce

Mehrtak [45]

2014

Iran

All general hospitals located in Iranian Eastern Azerbijan Province

18

Pabon Lasso and DEA

Pabon Lasso: ALS, BOR, BTR

DEA: Inputs: Numbers of active beds, physicians, nurses, discharged patients

Outputs: Number of surgeries and discharged patients, BOR

Excess inputs: larger hospitals are more efficient than smaller hospitals.

Lotfi [46]

2014

Iran

All hospitals of Ahvaz (8 hospitals affiliated with Jundishapur University of Medical Sciences and 8 non-affiliated hospitals)

16

Pabon Lasso and DEA

Pabon Lasso: ALS, BOR, BTR

DEA: Inputs: Numbers of physicians, nurses, other workforces, and active beds

Outputs: BOR, numbers of patients and surgeries

Underuse of resources, excess hospital inputs

Kalhor [47]

2014

Iran

Hospitals affiliated with Qazvin University

6

Pabon Lasso

Output: ALS, BOR, BTR

Poor managerial decisions

Goudarzi [48]

2014

Iran

Teaching hospitals affiliated with Tehran University of Medical Sciences

12

DEA (frontier-based methods)

Inputs: Numbers of medical doctors, nurses, and other workforces, active beds, and outpatient admissions

Outputs: Number of inpatient admissions

Excess numbers of nurses and active beds

Askari [49]

2014

Iran

Hospitals affiliated with Yazd University of Medical Sciences

13

DEA

Inputs: Numbers of active beds, nurses, physicians, and non-clinical workforce

Outputs: hospitalization admissions, BOR (%), and number of surgeries

High excess inputs, particularly the excess number of nurses.

Adham [50]

2014

Iran

Teaching and non-teaching hospitals

14

Pabon Lasso

Output: ALS, BOR, BTR

Low BOR

Imamgholi [51]

2014

Iran

Hospitals affiliated to Busheher University of Medical Sciences

7

Pabon Lasso

Output: ALS, BOR, BTR

Non-optimal hospital sizes

Shetabi [52]

2015

Iran

Hospitals affiliated to Kermanshah University of Medical Sciences

7

DEA

Inputs: Numbers of active beds, doctors, nurses, and other workforces

Outputs: Numbers of accepted inpatients, outpatients and BOR (%)

Excess inputs

Masoompourb [53]

2015

Iran

Teaching Hospital

1

Pabon Lasso

ALS, BOR, BTR

Decrease in ALS

Chaabouni [54]

2016

Tunisia

Public Hospitals

10

DEA (frontier-based methods)

Inputs: Numbers of physicians, nurses, dentists, pharmacists, and beds, total cost

Outputs: Numbers of outpatient visits, admissions, and post-admission days, price of labor

large hospital sizes

Safdar [55]

2016

Pakistan

A large public hospital

1

DEA

Inputs: Waiting time at the pharmacy, length of waiting line

Outputs: Consultation time at the pharmacy

High waiting times: low efficiency levels (less than 50% efficiency) are associated with high waiting times.

Mohammadi [56]

2016

Iran

Public hospitals

67

Cobb-Douglas production function

Inputs: Human resources (including net working hours of specialized workforce) and bed numbers (including the number of active beds)

Insufficient inputs: Inpatient service production levels were lower than expected in 40% of hospitals. A 10% increase in net working hours of specialized human resources would generate a 8.8% increase in average inpatient service production levels. A 10% increase in the number of active beds would generate a 1.1% increase in average inpatient service production levels.

Mahate [57]

2016

United Arab Emirates

Private and public hospitals in the UAE

96

DEA

Inputs: Numbers of beds, doctors, dentists, nurses, pharmacists and allied health workforce, and administrative workforce

Outputs: Numbers of treated inpatients, outpatients, ALS

Waste of 41 to 52% of inputs during service delivery.

Kalhor [58]

2016

Iran

Tehran city general hospitals

54

DEA

Inputs: Total numbers of FTE medical doctors, and nurses, numbers of supporting medical workforce including ancillary service workforce, and beds

Outputs: Numbers of patient days, outpatient visits, patients receiving surgery, ALS

Ownership type (lower efficiency of university hospitals because of more expenditures)

Kakemam [59]

2016

Iran

Hospitals of public, private, or social security ownership types in Tehran

54

DEA

Inputs: Numbers of active beds, physicians, nurses, and other medical workforces

Outputs: Numbers of outpatient visits, surgeries, and hospitalized days, ALS

Lack of resource optimization. Poor adaptation of the sizes, types of practices, and ownerships of hospitals, affecting their technical efficiency. Approximately 70% of the hospitals were inefficient.

Hassanain [60]

2016

Saudi Arabia

Hospitals affiliated to the MoH

12

Lean

On-time start, room turnover times, percent of overrun cases, average weekly procedure volume and OR utilization

Ppoor hospital infrastructure, old technology, suboptimal management of human resources, the absence of employee engagement, frequent scheduling changes, inefficient process flow

Hamidi [61]

2016

Palestine

22 government hospitals

22

DEA (frontier-based methods)

Inputs: Numbers of beds, doctors, nurses, and non-medical workforce

Outputs: Numbers of admitted patients, hospital days, operations, outpatient visits, ALS

Mismanagement of available resources, shortage of the numbers of doctors and nurses and excess number of non-medical staff

Nabilou [62]

2016

Iran

Hospitals affiliated to Tehran University of Medical Sciences

17

DEA (Malmquist index)

Inputs: Active beds, nurses, doctors and other workforces

Outputs: outpatient admissions, bed-days, number of surgical operations

Due to hospitals’ technological changes, a lack of knowledge of hospital workforce on proper applications of technology for patient treatment became the main cause of low hospital productivity and inefficiency.

Rezaei [63]

2016

Iran

Kurdistan teaching hospitals

12

DEA (frontier-based methods)

Inputs: Numbers of active beds, nurses, physicians, and other workforce members

Outputs: Inpatient admissions

Waste of inputs during service delivery

Farzianpour [64]

2017

Iran

Training and non-training hospitals of Tabriz city

19

DEA

Inputs: Numbers of physicians, total workforce, and active beds

Outputs: Number of outpatients and BOR

Poor management of human and financial resources.

Arfa [65]

2017

Tunisia

Public district hospitals

105

DEA

Inputs: Numbers of physicians, surgical dentists, midwives, nurses and equivalents, and beds, operating budget

Outputs: Outpatient visits in stomatology wards, outpatient visits in emergency wards, outpatient visits in external wards, numbers of admissions, and admissions in maternity wards

Inadequate number of workforce, equipment, beds, and medical supply, health quality and lack of fitting operating budgets: tackling these sources of inefficiency would reduce net user needs and the bypassing of the public district hospitals, to increase their capacity utilization. Social health insurance should be turned into a direct purchaser of curative and preventive care for the public hospitals.

Aly Helal [66]

2017

Saudi Arabia

Public hospitals

270

DEA

Inputs: Numbers of beds, doctors, nurses, and allied medical workforce

Outputs: Numbers of individuals visiting admitted patients, radiography service beneficiaries, laboratory testing beneficiaries, and inpatients

Excess inputs

Mousa [67]

2017

Saudi Arabia

Public hospitals

270

DEA

Inputs: Numbers of physicians, nurses, pharmacists, allied health professionals, beds

Outputs: Numbers of outpatient visits, inpatients, laboratory investigations, X-rays patients, X-rays films, total number of surgical operations

Inadequate resources: some resources should be switched between regions to improve efficiency.

Moradi [68]

2017

Iran

Public hospitals

11

Pabon Lasso

ALS, BOR, BTR

Low number of hospital beds, and need for hospital expansion

Sultan [69]

2017

Jordan

General public hospitals

27

DEA

Inputs: Numbers of beds, physicians, healthcare workforce, administrative workforce

Outputs: Inpatient days, outpatient visits, emergency departments, and ambulances

Diseconomies of scale affect the operational efficiency, poor management, poor productivity in outpatient services and low numbers of physicians.

Kassam [70]

2017

Iraq

Hospitals in Baghdad

3

DEA and Luenberger Productivity Indicator (LPI)

Inputs: Numbers of doctors, nurses, and other health workforces

Outputs: Numbers of outpatients, laboratory tests, radiology tests, sonar tests, emergency visits

The cause of the inefficiencies is undetermined.

Rezaee [71]

2018

Iran

Hospitals affiliated with Kermanshah University of Medical Sciences

15

Pabon Lasso

Output: ALS, BOR, BTR

Excess inputs

Yazan Khalid Abed-Allah Migdadi [72]

2018

Jordan

Public hospitals

15

DEA

Inputs: Numbers of physicians, nurses, and beds

Outputs: ALS, number of Surgeries, BOR

Low BOR

Sajadi [73]

2018

Iran

All hospitals in Isfahan City

54

Cross-sectional descriptive study comparing performance indicators

Outputs: BOR, BTR, bed-days, inpatients visits, number of surgeries in all types of hospitals, outpatient visits in all non-private hospitals, emergency visits in public and social security hospitals, and natural deliveries in public and semi-public hospitals

Inefficient use of limited resources

  1. *BOR bed occupancy rate, BTR bed turnover rate, ALS average length of stay, FTE Full Time Employee, MoH Ministry of Health