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Table 1 Summary of Findings for comparison one: Electronic multidimensional guidelines versus usual care

From: Effectiveness of electronic guideline-based implementation systems in ambulatory care settings - a systematic review

Study

Risk of bias

No of patients/professionals

Intervention

Outcomes

    

Process

Patient

Christakis[21]

Cluster-RCT

low

1,339 visits for OM, 38 physicians

Evidence-based (EB) message system presenting real time evidence to providers based on their prescribing practice for otitis media (OM).

Y

 

Davis[10]

Cluster-RCT

low

12,195 visits, 44 healthcare providers

EB message system that presented real-time evidence to providers based on prescribing practices for acute otitis media, allergic rhinitis, sinusitis, constipation, pharyngitis, croup, urticaria, and bronchiolitis

Y

 

Meigs[12]

Cluster-RCT

moderate

598 patients, 66 healthcare providers

Diabetes management application, (DMA); interactive patient-specific clinical data, treatment advice, and links to other web-based resources

N

N

Montgomery[26]

Cluster-RCT

moderate

614 patients, 27 general practices

Computer-based clinical decision support system and a risk chart on absolute cardiovascular risk, blood pressure, and prescribing of cardiovascular drugs in hypertensive patients.

N

N

Rollman[13]

Cluster-RCT

moderate

200 patients, 17 primary care physicians

Guideline-based treatment advice for depression

Active care

Passive care

N

N

N

N

van Wyk[32]

Cluster-RCT

moderate

87,866 patients, 77 primary care physicians

Clinical decision support system with respect to screening and treatment of dyslipidemia

Alerting version

On-demand version

Y

N

 

Carton[36]

ITS design

high

6,869 radiological examinations in sample

Reminder on screen, indicating the appropriate recommendations concerning radiology requests

N

 

Day[18]

ITS design

high

off: 103 patients

on: 258 patients off: 125 patients

Real-time advice regarding documentation, testing, treatment and disposition of emergency department patients with low back pain (EDECS)

N

 

Hetlevik '99[34]

Cluster-RCT

high

2,230 patients, 53 physicians

Clinical decision support system for hypertension

 

N

Hetlevik '00[35]

Cluster-RCT

high

1,034 patients, 53 physicians

Clinical decision support system for diabetes mellitus

 

N

Hicks[22]

Cluster-RCT

high

2,027 patients, 14 primary care practices

Electronic decision support for hypertensive patients

Y

N

McCowan[25]

Cluster-RCT

high

477 patients, 17 practices

Computerized decision support system for the management of asthma

N

N

Poley[29]

CBA design

high

109 primary care physicians

Guideline-driven decision-support system for ordering blood tests in primary care

N

 

Safran[23]

CCT

high

349 patients in analysis, 126 physicians and nurses

Reminders and alerts for HIV infection

Y

N

Schriger '97[19]

ITS design

high

off: 50 patients

on: 156 patients

off: 74 patients

Real-time advice regarding documentation, testing, treatment and disposition of emergency department patients regarding the management of body fluid exposure (EDECS)

Y

 

Schriger '00[20]

ITS design

high

off: 352 patients

on: 374 patients

off: 104 patients

Real-time advice regarding documentation, testing and treatment of children with fever presenting in the emergency department (EDECS)

N

 

Sequist[14]

Cluster-RCT

high

Diabetes: 4,549 patients - CAD: 2,199 patients, 194 physicians

EB electronic reminders for diabetes and coronary artery disease (CAD)

N

 

Szpunar[11]

CBA design

high

Pre: 5,334 patients - Post: 3,970 patients, 6 clinics

Tobacco Use Cessation (TUC) Automated Clinical Practice Guideline

Y

 

Martens[33]

Cluster-RCT

high

53 primary care physicians

Intervention group one: Reminders on antibiotics, asthma/chronic obstructive pulmonary disease (COPD)

Intervention group two: Reminders on cholesterol-lowering drugs

N

 
  1. Y = if at least 50% of outcomes significant, N = if less than 50% of outcomes significant