evidence table 33. characteristics of patients in studies ... table 33. characteristics of patients...

Evidence Table 33. Characteristics of patients in studies addressing barriers, facilitators, and/or drivers to the use of health IT to implement patent-centered care

G-1233

Author, Year Control

Age, n (%) Female, n

(%) Race, n (%) Income Range, n (%) Education, n (%) Other Characteristics,

n (%) Intervention

Abdullah, 20051

Urban population: Survey of access to communication technologies

Mean: 62.7

(57)

White: (76), Non-Caucasian: (23.9)

<$20,000: (27.3), $20,000-50,000: (42.2), >$50,000: (30.4)

<8 yrs: (4.3), 8-12 yrs: (11.9), 12-16 yrs: (32.4), >16 yrs: (27)

Urban, Rural

Rural population: Survey of access to communication technologies

Mean: 64.3 (56.5) <$20,000: (35.1), $20,000-50,000: (42.7), >$50,000: (22.2)

<8 yrs: (7.8), 8-12 yrs: (16.5), 12-16 yrs: (48.7), >16 yrs: (27.0)

Abraham, 20082

Interviews regarding the implementation and management of home telehealth technologies

NS NS NS

Ammenwerth, 20003

Testing of a mobile communication application

NS NS NS

Andreassen, 20064

Qualitative interviews with participants using PasientLink

NS NS NS

Ash, 20035 Qualitative study of physician order entry

NS NS NS NS NS NS

Audet, 20046 Use of Information technologies

<45: 32, 45-54: 35, 55-64: 22, >=65: 12

23 NS NS NS

Avery, 20077 Qualitative study to

7 NS NS NS

Evidence Table 33. Characteristics of patients in studies addressing barriers, facilitators, and/or drivers to the use of health IT to implement patent-centered care (continued)

G-1234


Age, n (%) Female, n (%)

Race, n (%) Income Range, n (%) Education, n (%) Other Characteristics, n (%)

Intervention

identify how general practice computer systems could be improved to enhance safety in primary care

Barak, 20068 Analysis of positive online support conversations

15-50 ~20 (50)

Comparison of participant and instructor’s perceptions of online support chat

13-55 ~30 (50)

Bar-Lev, 20069

Negotiating time scripts during implementation of an electronic medical record

NS NS NS NS NS

Beale, 200610

Video game, Re-Mission, for young cancer patients

NS NS NS Did not report on control group

Benaroia, 200711

All patients who used the interactive computer system

Mean: 34, SD: 13

(67) NS <$20,000 (28.8), $20,001-60,000: the majority

<8 yrs: a minority, 8-12 yrs: (42.4), 12-16 yrs: (30.3), >16 yrs (had either an undergraduate, professional, or graduate degree): (22.8)

Bernhardt, 200212

Internet-based human genetics health communication

Mean: 28.6, SD: 6.19

44 (59) White: 39 (53), Black: 35 (47)

<$10,000: (16), $10,000 to $25,000: (24), $25,000 to $40,000: (29), >= $40,000: (26)

12-16 yrs: nearly half


G-1235




Intervention

Bernheim, 200613

Pocket-sized electronic information system, CardioCard, with cardiological data

Mean: 65, Range: 26-91

94 (24) NS NS NS

Blanchfield, 200614

Identified cost of designing, developing, implementing, and operating an innovative informatics-based registry and disease management system (POPMAN) to manage type 2 DM

NS NS NS NS NS

Bobrie, 200715

>=18 NS NS NS NS

Bowns, 200616

Control Mean: 49.7, SD: 19.8

45 (62)

SF teledermatology

Mean: 43.6, Median: 17.8

58 (63) NS NS NS

Bratton, 200117

Telemedicine NS NS NS

Brebner, 200518

Experience-based guidelines for implementation of telemedicine services

NS NS NS NS NS

Brooks, 200619

Evaluating physician use of e-mail with patients

Mean: 50.64 (24.1) White: 2875 (68.4), Black: 133 (3.2), Latino: 539 (12.8),

NS NS


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Intervention

Asian/Pacific: 433 (10.3), Unknown: 223 (5.3)

Campbell, 200620

CPOE systems (identifying unanticipated adverse consequences of them)

NS NS NS NS NS

Carroll, 200221

Design and evaluating a clinical decision support system

NS NS NS NS NS

Carroll, 200422

Evaluating pediatricians’ PDA use

NS NS NS NS NS

Carroll, 200723

Health-Pia GlucoPack™ Diabetes Monitoring System, integrates a small blood glucose monitoring device into the battery pack of a cell phone

Mean: 15.5 (50) W:(80) NS NS

Chen, 200824

Control Mean: 51.14

(42.5)

Asian: (100)

A reminder was sent via SMS 72 hours prior to the appointment

Mean: 50.01 (41.5)

Asian/Pacific: (100)


G-1237




Intervention

A reminder was sent via telephone 72 hours prior to the appointment

Mean: 50.52 (43.3) NS NS

Chinman, 200725

Computerized patient self-assessment from the VA

Mean: 49

9

White: (41), Black: (30)

NS NS Priimary diagnosis – Major depressive disorder (55), bipolar disorder (15), schizophrenia (12), PTSD (11);as their primary diagnosis. Comorbid alcohol or substance abuse/dependence diagnosis (47)

Computerized patient self-assessment from the DMH Clinic

Mean: 47 (56) White: (90) NS NS Primary diagnosis –Major depressive disorder (35), bipolar disorder (25), schizophrenia (25), PTSD (0); Comorbid alcohol or substance abuse/dependence diagnosis (18)

Christensen, 200826

Observation of 80 GP encounters

NS NS NS NS NS

Questionnaire of GPs in study

NS NS NS NS NS

Chu, 200927 Partnering with seniors for better health

Mean: 74 (72) < $10,000 (64) 8-12 yrs: (21.4) 12-16 yrs: (50)

Previous computer use (29.5); Previous Internet access (18.8)

Citerio, 200028

Database developed for head trauma victims admitted to the NICU

NS NS


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Intervention

Crosson, 200529

Implementing EMR in family medicine practice

NS NS NS NS NS

Cruz-Correia, 200730

Control Mean: 29

15 (71)

Median yrs: 11, Range: 4-18

P'ASMA Mean: 29 15 (71) Median yrs: 11, Range: 4-18

Dansky, 200831

Control Mean: 76.88, Median: 78, SD: 10

Monitor only Mean: 76.72, Median: 79, SD: 10.52

Monitor and Video

Mean: 78.11, Median: 79, SD: 7.11

NS NS NS

Day, 200732 Hospice 16 (94) NS NS NS

de Toledo, 200633

Control Mean: 72, SD: 8

3 (3.2)

FEV1 42, SD: 15

Educational session (1.5 hours), single home visit (24-72 hours after discharge), telephone access to system's call center; the team used the system to coordinate their work and to access the ECPR

Mean: 71, SD: 8

2 (2.3) NS NS NS FEV1 42, SD: 20


G-1239




Intervention

Delichatsios, 200134

Control Mean: 45.7

72

White: 43.3, Black: 46

>$2,000 per month: (58.2) 12-16 yrs: (46.0)

BMI 28.7

Computer-based monitoring of daily diet, educational feedback, advice, counseling

Mean: 46.2 72.3 White: 46.6, Black: 43.2

>$2,000 per month: (57.4) 12-16 yrs: (48.3) >16 yrs: (24.5)

BMI 28.7

Demakis, 200035

Computerized reminders in VA sites

NS NS NS

Demiris, 2004-36

Semi-structured interview protocol with eight open-ended questions

NS NS NS

Deutscher, 200837

EHR Mean: 50.9, SD: 15.5

(57.1) NS NS Affected body part – Lumbar (20.9), Cervical (16.6), Knee (12.8), Shoulder (12.6), Other (37.1); Language used to answer the survey for outcome measurement – English (2.7), Hebrew (66.3), Russian (28.9), Arabic (2.1)

Dombkowski, 200738

MCIR is a statewide immunization information system

NS NS NS No characteristics

Earnest, 200439

EMR: SPPARO

>=18 NS NS NS NS

Eminovic, 200440

Web chat with nurse

Mean: 48 57% NS NS 18 (78) of patients considered

For all patients, age, gender, and self-


G-1240




Intervention

themselves computer-literate

reported computer literacy were recorded; in order to calculate the duration of the Web chat and its components, the intervals between specific defined events occurring during a CES session were logged into a file

Ertmer, 200541

Control Users who, according to log files, had not used the system frequently (i.e., control group) 11

EHR akteonline.de with CD-ROM

NS NS NS 29

EHR akteonline.de with brochure

NS NS NS 24

Farmer, 200542

GPRS mobile phone diabetes telemedicine system

NS NS NS Used full functionality 46; Did not use full functionality 48

Feil, 200043 Evaluation of participation rates and factors associated with nonparticipation among primary care patients invited to join Internet-based self-management research

40-75


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Intervention

program

Feldman, 200444

E-mail reminder to nurse highlighting six key, condition-specific evidence-based practices

NS NS NS NS NS

Finch, 200545

Perspectives on telecare

NS NS NS NS NS

Frank, 200446

Control Mean: 35.4

(57)

Number of services in 6 months before start of trial, median (interquartile range) 1 (0–2); Fees charged per consultation in 6 months before trial, median (interquartile range) $21 ($0–59); Number of long-term problems coded before trial, median (interquartile range) 0 (0–1)

In-consultation reminders about 12 outstanding preventive activities

Mean: 36 (56) NS NS NS Number of services in 6 months before start of trial, median (interquartile range)1 (0–2); Fees charged per consultation in 6 months before trial, median (interquartile range) $21 ($0–56); Number of long term problems coded before trial, median (interquartile range) 0 (0–1)


G-1242




Intervention

Gagnon, 200447

Survey on telehealth

NS NS NS NS NS

Gagnon, 200548

Telehealth NS NS NS Telehealth non-adopters 4; Telehealth adopters 5

Garcia-Sanchez, 200849

Questionnaire asking attitudes about confidentiality breaches of computer records

66 NS NS NS

Gardiner, 200650

TOPCARE (Telematic Homecare Platform in Cooperative Health Care Provider Networks)

NS NS NS

Gielen, 200751

Control Children: 4-66 months, Parents: 14-30

Mothers: 339 (90.4)

Black: (94.1), Other: (5.8)

<$5,000: (66.5), >$5,000: (33.5)

<8 yrs: (11.1), 8-12 yrs: (73.2) 12-16 yrs: (15.7)

Computer kiosk

Children: 4-66 months, Parents: 14-30

Mothers: 348 (90.6)

Black: (92.2), Other: (7.8)

<$5,000: (60.9) >$5,000: (39.0)

< 8 yrs: (9.2), 8-12 yrs: (75.8) 12-16 yrs: (15.0)

Glazebrook, 200652


259 (78.5)

Professional or skilled non-manual occupation 137 (42.4); Sought advice regarding suspicious lesion in the past year 28 (11.6)


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Intervention

Interactive multimedia intervention “Skinsafe”

Mean: 38.2, SD: 14.3

214 (82.6) NS NS >16 yrs: further or higher education 125 (54.1)

Professional or skilled non-manual occupation 98 (39.8); Sought advice regarding suspicious lesion in the past year 28 (14.2)

Goddard, 200153

Investigation of barriers to effective information provision for mental health care delivery by comparing practitioner's perceptions with strategic solutions

NS NS NS

Gomez, 200254

Current features of the DIABTel telemedicine system and the evaluation outcomes of its use in clinical routine

NS NS NS NS NS NS

Gonzalez-Heydrich, 200055

Five-question survey to begin to assess the impact of the application on the alliance with the parent

NS NS NS

Graham, 200756

Survey on perceptions of decision aid and willingness to use

79 (29) NS NS >16 yrs: 450 (100)


G-1244




Intervention

Griffiths, 200657

Telemedicine NS NS NS NS NS

Grossman, 200658

Clinical data Exchange

NS NS NS NS NS

Grundmeier, 199959

Computer-based clinical decision support

NS NS NS

Gustafson, 200560

CHESS Mean: 51.6 White: 154, Black: 77

Living at or below 250% of the official federal poverty line

Mean yrs: 13 Living in rural Wisconsin 144 (all Caucasian); Living in Detroit 85 (all African American)

Hailey, 200361

Teleconsultation

NS NS NS

Halamka, 200662

E-prescribing NS NS NS

Han, 200563 CPOE Mean: 9 826 (44.2) NS NS NS

Harper, 200064

Technical performance and clinical feasibility of telecolposcopic system in remote site 1

Mean: 28.9

79 (100) NS NS NS

Technical performance and clinical feasibility of telecolposcopic system in remote site 2

Mean: 26.4 79 (100) NS NS NS

Hassol, 200465

Online survey (and focus group information)

>18 (60) NSW: (98) of 1421 NS 12-16 yrs: (40) >16 yrs: (27), High school or less: (33)

Duration of MyChart Use, Use of MyChart

Hess, 200766 Pre-implementation

Mean: 53, SD: 13

Nonwhite: 7 (33) 8-12 yrs: 6 (29), 12-16 yrs: 7 (33), Postgraduate degree 6 (29)


G-1245




Intervention

Post-implementation

Mean: 55, SD: 11

Nonwhite: 4 (22) NS 8-12 yrs: 1 (6), 12-16 yrs: 5 (28), >16 yrs: 4 (22), Postgraduate degree: 8 (44)

Hetlevik, 200067

Control Mean: 68.1

(55)

Patients 408

CDSS Mean: 66.3 (53) NS NS NS Patients 368

Hibbert, 200468

Technology-related tasks and the interplay between the research team and the 12 nurses who were to use the telehealth equipment

NS NS NS NS NS NS

Hillman, 200569

CPOE NS NS NS Hospitals located in The Leapfrog Group's targeted regions 842

Hilty, 200670 Telemedicine: secure email, telephone, videoconferencing

Mean: 33 (33) White: 3 (100) NS NS

Hobbs, 200371

A paper-based survey

Mean: 46.3 58907 (68.2) White/non-Hispanic: 37620 (43.6), Black: 5714 (6.6), Hispanic: 6976 (8.1), Asian: 1504 (1.7), Other: 1204 (1.4), Unknown: 33284 (38.6)

NS NS Provider-patient e-mail usability system, Overall physician workload, Physician opinions regarding the use of e-mail with patients and time period physicians worked for Partners HealthCare System


G-1246




Intervention

Homko, 200772

Mean: 47.5, SD: 9.1

15 (57.7)

Mean: 46.8, SD: 8.8

14 (56) NS NS NS BMI – Control group, mean 23.4 kg/m2, Intervention group, mean 24.5 kg/m2; Duration of diabetes – Control group, mean 8.0 yr, Intervention group, mean 5.2. There was no significant difference in age, sex, BMI, duration of diabetes, diabetes medication, blood pressure, blood glucose, or serum lipids levels between the two groups. At the pre-test, no significant difference was found in HbA1c levels between the groups

Hopp, 2006-73

Telemedicine Mean: 64 (5) NS NS NS

Hunter, 200874


(50.5)

White: (53.2) NS High school or some college: (61.7)

Married or partnered (73.0); Enlisted (75.2); Years in service, mean 13.0, SD: 6.6; Plan to retire from AF (81.4)


G-1247




Intervention

BIT Mean: 33.5, SD: 7.4

(50.0) White: (58) NS High school or some college: (63.9)

Married or partnered (73.0); Enlisted (81.7); Years in service, mean 12.4, SD: 6.6; plan to retire from AF (78.9)

Jerant, 200175


50

White: 7 (58), Black: 4 (33), Latino/Hispanic: 1 (8)

NS NS

Home telecare Mean: 66.6, SD: 10.9

54

White: 4 (31), Black: 8 (62), Latino/Hispanic: 1 (8)

NS NS

Telephone telecare

Mean: 71.3, SD: 14.1

58 White: 7 (58), Black: 5 (42), Latino/Hispanic: 0 (0)

NS NS

John, 200776 Personal digital assistant-based decision support system

NS 25 NS NS NS

Jones, 199977

Personal computer information

NS NS NS

General computer information

NS NS NS


G-1248




Intervention

Kaner, 200778

Implicit (concise) patient decision aid involved individualized risk and benefit presentation and a section to support shared decisionmaking

NS NS NS

Explicit (extended) patient decision aid additionally included patients' elicited values for health and treatment states derived via standard gamble and analyzed in a Markov decision analysis

NS NS NS

Kaufman, 200679

Analysis designed to identify problems related to use of the system and to characterize the complexity of the various tasks

NS NS NS


G-1249




Intervention

supported by the system

Keeffe, 200580

Assessment of the responses of providers to recommendations generated by a computer-management system for CHF

NS NS NS NS NS

Kerr, 200881 The intervention “CHESS Living with Heart Disease” provided information, emotional and social support, self-assessment and monitoring tools and behavior change support, modified for study

Range: 41-84

1 (20) NS NS NS

Keselman, 200782

Survey of patients’ experience with reviewing their health records, in order to identify barriers to optimal record use

NS 89 White: 95, Asian: 2, Other: 5

NS High school: 9, College: 48, Graduate school: 39, Other: 5


G-1250




Intervention

Kim, 200283 Evaluation of the functionality and utility of a selection of personal health records

NS NS NS NS NS

Kim, 200484 Diagnostic evaluations of a wound were made both by a treating physician in person and by a remote physician using the telemedicine system


NS NS NS NS Married or had a live-in partner (35.3); Lived at home rather than in a nursing home 97.1; Lived without assistance (41.3); Received some kind of assistance or care at home (58.7); Had a full- or part-time caregiver (39.7); Had some assistance (12.7); Used a full-time nurse (6.3); Considered their overall health to be – “Good or very good” (63.3), “Fair” (23.3), “Poor” (13.3)

M Qualitative interview study to explore factors that have facilitated and prevented adoption of telemedicine in general practice in remote and rural Scotland

Range: 20-59

19 (66) NS NS NS Discipline – GPs 19; Nurses 10; Practice Island 8; Mainland 21

Kittler, 200485

Feedback on use of Patient

NS NS NS NS NS


G-1251




Intervention

Gateway in an integrated health system

Kleiner, 200286

Survey GPs: 29, SPs: 36

NS White GPs: 82 (51.9), White SPs: 97 (59.5), Black GPs: 66 (41.8), Black SPs: 54 (33.1), Other GPs: 10 (6.3), Other SPs: 12 (7.4)

<$20,000, GPs: 25 (17.1), SPs: 24 (15.3), $20,000-35,000, GPs: 47 (32.2), SPs: 38 (24.2), $35,000-60,000, GPs: 39 (26.7), SPs: 39 (24.8), $60,000-100,000, GPs: 28 (19.2), SPs: 31 (19.8), >$100,000, GPs: 7 (4.8), SPs: 25 (15.9)

Not completes HS, GP 16 (10.1), SP:13 (7.9) Graduated, GP:53 (33.5), SP:43 (26.2), Did not complete college, GP:40 (25.3), SP: 45 (27.4), Graduated college, GP: 32 (20.3), SP: 45 (27.4) Attended postgrad, GP:4 (2.5) SP:1 (0.6) Completed post grad, GP:13 (8.2) SP:17 (10.4)

E-mail access – GPs 90 (57.3), SPs 107 (65.6)

Kreuter, 200687

Tracked patterns of use and characteristics of kiosk users

Mean: 35.4 NS NS NS By site: beauty salons, churches, health centers, laundromats, and social service agencies

Krousel-Wood, 2001-88

Telemedicine Mean: 67 (11)

(43) Black: (18) Married (77); In managed care (53); Gave Louisiana as their state of residence (95); Retired (53); Had an income < $50,000 per year (66); Had a high-school education or more (68); Computer use at work, home, or some other place (32); Distance the


G-1252




Intervention

participant lived from the clinic, mean (km) 37, SD: 45, and 37 min, SD: 31

Lahdenpera, 200089

Assessed patients’ attitudes to IT, their experiences of IT, and their attitudes and expectations concerning its use in the treatment of hypertension

Average: 46 12 NS NS NS

Larcher, 200390

Teleconsultation system in oncology

NS NS NS

Lavanya, 200691

A survey of teledermatology: D-PHIMS

NS NS Nurse, MD (dermatologist)

Lee, 200292 Present ICU nurses’ experiences with a computerized nursing care plan system at a medical center in Taiwan

NS NS NS NS NS

Levick, 200593

CPOE implementation in Lehigh Valley

NS NS NS NS NS NS


G-1253




Intervention

Liaw, 199894 Control 5-24: (5) years, 25-64; (27), 65-74: (18), >75: (50)

20 (68)

Patients provided with a computer-generated patient handheld record

5-24: (10), 25-64: (28), 65-74: (17), >75: (45)

15 (69)

Patient had intervention but took posttest only

5-24: (0), 25-64: (43), 65-74: (14), >75: (43)

8 (60) NS NS NS

Likourezos, 200495

Assessed physician and nurse satisfaction with an ED EMR

Lindenauer, 200696

Survey 97 (28) NS NS Physicians Site 1, Site 2

Linder, 200697

Survey of LMR use during patient visits: non-use (non-users), moderate use (users but not complete documenters), and intensive use (complete documenters)

Mean: 39 (60) NS NS NS Physicians 197 (88); Nurse practitioners 24 (11); Other clinician types, including registered nurses and licensed practical nurses 4 (2); Trainees – interns, residents, and fellows 92 (41)

Lobach, 200698

Perceptions of Medicaid beneficiaries regarding the

Mean: 36.9, Range: 22-62

28 (90) Non-white: 26 (84) NS NS Internet access 28 (90); Past Internet use 23 (74); Internet health Info 16 (52);


G-1254




Intervention

usefulness of accessing personal health information and services through a patient Internet portal

Worked in medical environment 14 (45);

Lober, 200699

Feasibility of PHR use by an elderly and disabled population


(82) NS NS NS Population composed of elderly, disabled, and immigrants; Had chronic diseases

Lyons, 2005100

Multisite study compared the perceptions of three stakeholder groups regarding information technologies as barriers to and facilitators of CPGs

Mean: Administrator Focus: 47.8, Physician Focus: 46.3, Nurse Focus: 44.4, Range: 61-69

Administrator Focus: (63), Physician Focus: (43), Nurse Focus: (86)

NS NS NS Length of career – Administrator focus, mean (yrs) 22.9, Physician focus, mean (yrs) 18.7, Nurse focus, mean (yrs)19.9, VA System: Aadministrator focus, mean (yrs) 17.1, Physician focus mean (yrs) 7.7, Nurse focus, mean (yrs) 13.4

Madaras-Kelly, 2006101

Pharmacists conducted guided interviews regarding patient symptoms in a cohort of patients with BSA prescription visiting two rural

. NS NS NS


G-1255




Intervention

community pharmacies during peak respiratory illness season

Magnus, 2009102

Cross-sectional survey

<30: 16 (8.6), 30-50: 127 (68.3), >50: 43 (23.1)

156(80) NS NS NS Respondents –Overall (all three times data were collected): Length of Time worked at clinic – 1 yr 167 (85.0); Usual work patterns at clinic – >4 days per week 103 (53.7); Role – Nurse 61 (31.2), Nurse practitioner 30 (15.4), Physician 56 (28.7), Ancillary service provider 12 (6.2), Other (e.g., students, data entry personnel, research coordinators) 36 (18.4); Facility location – Urban 109 (55.6), Rural 87 (44.4)

Maisie Wang, 2004103

PHIMS Mean: 45.70 (12.93)

24 (39.34) NS NS NS


G-1256




Intervention

Mangunkusumo, 2007104

Control Mean: 15, Range 13-17

242 (51.5)

NS NS 8-12 yrs: 475 Nationality – Dutch (76.5), Turkish (7.7), Moroccan (1.7), Surinamese (2.1), Antillean/Arubean (0.4), Others (11.5); Education – Lower secondary/vocational education (57.7), Intermediate secondary education (19.8), Upper secondary education (22.5)

Internet tool to support the current adolescent preventive health care provided by Dutch municipal health services


256 (56.1) NS NS 8-12 yrs: 458 Nationality – Dutch (76.5), Turkish (5.0), Moroccan (3.3), Surinamese (2.4), Antillean/Arubean (0.4), Others (12.3); Education – Lower secondary/vocational education (59.1), Intermediate secondary education 18.6 Upper secondary education 22.3

Marceau, 2007105

Control Mean: 48, Median: 8, Range: 34-65

(69)

White: (82)

NS NS Duration of pain, mean (yrs) 8.4, SD: 7.9

Electronic Mean: 48, Median: 8, Range: 34-65

(69) White: (82) NS NS Durations of pain, mean (yrs) 8.4, SD: 7.9

Margalit, 2006106

Extent of computer use was measured Communication dynamics

34-44 (physicians)

2/3 NS NS 14 yrs of experience beyond medical school


G-1257




Intervention

were analyzed through the application of a new Hebrew translation and adaptation of the RIAS

Maslin, 1998107

Control Mean: 52.1, Range: 28-73

49 (100)

NS NS NS

Support from the multidisciplinary team and use of the IVD were offered to women to aid them in decision-making if they wished

Mean: 52.1, Range: 28-73

51 (100) NS NS NS

Masucci, 2006108

The 2-hour training was divided into three basic components: (1) determination of initial computer experience, (2) computer training, and (3) assessment of specific skills gained

Mean: 60.4 (73) White: 21 (48), Black: 23 (52)

<$15,000: 15 (34), $15,000–24,999: 13 (30), $25,000–34,999: 4, <$35,000: 9

>16 yrs: 0 College: 8 (18), Some high school: 5 (11), High school: 21 (48), Some college 10 (23)

Masys, 2002109

Giving patients access to their medical

NS Physicians: (22), Patients: (73)

NS NS College degree: (71)


G-1258




Intervention

records via the Internet: PCASSO

Maviglia, 2003110

Automating complex guidelines for chronic disease: Lessons learned

NS NS NS NS NS NS

May, 2005111 NS NS NS NS NS NS NS

Mayo-Smith, 2007112

Survey of attitudes AND completion rates to reminders

NS NS NS Provider type

McCowan, 2001113


53

CDSS Mean: 32.6, SD: 24.2

51 NS NS NS

McDonald, 2006114


29

ISS 25 6 2; (76)

McKinley, 2001115

“Protocol”-assigned patients had ventilatory support directed by the bedside respiratory therapist using the computerized protocol

Mean: 40, SD: 3

27 NS NS NS Blunt ISS 26 6 3, (73) blunt


G-1259




Intervention

Clinicians used handheld computers to maintain up-to-date records on their clients

NS NS NS

McManus, 2000116

Embedding guidelines in an electronic charting system, EDECS

24-35 (30) NS NS NS

Mikulich, 2001117

Interactive decision aid on breast cancer

Mean: 55.1 NS NS NS 8-12 yrs – Compulsory or lower 63 (59), 12-16 yrs – Higher than compulsory 43 (41)

Other background information, p 125

Molenaar, 2007118

Survey of patient interest in EHR

NS NS NS

Munir, 2001119

Survey NS NS NS NS NS NS

Nguyen, 2008120

fDSMP Mean: 70.9, SD: 8.6

9 (45) 12-16 yrs: 8 (40), >16 yrs: 12 (60)

Not currently employed or currently disabled or retired 15 (75); Living situation with spouse or other 13 (65); Currently smoking 1(5); Distance to clinical site (km) 13.1, SD: 15.7; BMI (kg/m2): 27.7, SD: 6.4; [several disease severity measures]; [several computer / Internet skills]


G-1260




Intervention

DSMP Mean: 68.0, SD: 8.3

8 (39) White: 20 (100) NS 12-16 yrs: 10 (50) >16 yrs: 9 (50)

Not currently employed or currently disabled or retired 13 (72); Living situation with spouse or other 12 (63); Currently smoking 2 (11); Distance to clinical site (km) 20.4, SD: 18; BMI (kg/m2) 29.4, SD: 5.9; [several disease severity measures]; [several computer / Internet skills]

Noel, 2004121

Control Mean: 70 0 (0)

Home telehealth plus nurse case management

Mean: 72 3 (3)

CHF, COPD, DM combinations

Usual home healthcare services plus nurse case management

Mean: 70 0 NS NS NS CHF, COPD, DM combinations

Ojima, 2003122

Experimental (group E) received Web-based followup as well as two occasions of face-to-face tooth brushing instruction and telephone follow-up

NS NS NS

Pagliari, 2003123

Multifaceted, Web-based resource for diabetes

NS NS NS NS NS


G-1261




Intervention

Management, formative evaluation

Paperny, 1999124

YHP, an interactive health education software program

Mean: 17.2, Range: 12.9-24.9

56

Patt, 2003-125

Doctor-patient e-mail communication

<35: 9, 35-55: 73, >55: 18

18 NS NS NS Generalists (general internal medicine, family practice, general pediatrics, general psych, preventive medicine) 64; Specialists (internal medicine, pediatrics) 20; Emergency room 2; Obstetrics/Gynecology 7

Patterson, 2004126

Objective: Identify human factors barriers to the use of CRs

NS NS NS NS NS Total number observed – Patients 33; Attendings 10; Fellows 7 Residents 5, Medical student1, NP 1, Dietitian 1

Patterson, 2005127

Staff surveys at VA institutions using clinical reminder systems

NS NS NS NS NS Providers 28; Patients 32

Paul, 1999-128

Telemedicine NS NS NS Not given and perhaps not relevant

Pelletier-Fleury, 1999129

Compared two particular modalities of PSG: at the patient’s home and in hospital,

Mean: NS NS NS NS


G-1262




Intervention

where the examination was telemonitored by a sleep laboratory

Persell, 2008130

Patient intervention plus reminders in a cluster-randomized design

Mean: 58.8, SD: 11.2

92 (71)

White: 44 (33.9), Black: 45 (34.6), Latino: 7 (5.4), Asian/Pacific Islander: 5 (3.9), Other: 21 (16.2), Unknown: 8 (6.2)

Coronary artery disease 6 (5); Contraindication to Aspirin 19 (15); GI bleeding or peptic ulcer disease 12; Liver disease 5; Platelet disorder 3; CNS hemorrhage or vascular anomaly 2

Clinician reminders only

Mean: 56.8, SD: 10.4

60 (54) NS NS Coronary artery disease 10 (8.9); Contraindication to aspirin 12 (11); GI bleeding or peptic ulcer disorder 9; Liver disease 3; Platelet disorder 0; CNS hemorrhage or vascular anomaly 0

Peters, 2006131

Control Mean: 32.9

(50.5)

<8 yrs: 309 (100)

Household size 4.6

Early diagnosis and prevention system

Mean: 38.1 (56.8) NS NS <8 yrs: 296 (100) Household size 4.4

Piette, 2000132

Control Mean: 53.3

56.5

White: (29) Hispanic: (51.6) Other: (19.4)

<$10,000 (56.3)


G-1263




Intervention

In addition to usual care, intervention patients received biweekly ATDM calls with telephone followup by a diabetes nurse educator; patients used the ATDM calls to report information about their health and self-care and to access self-care education; the nurse used patients' ATDM reports to allocate her time according to their needs

Mean: 55.7 61.3 White: (29) Hispanic: (47.6) Other: (23.4)

<$10,000 (59.1) NS

Pillai, 2004133

Electronic immediate discharge document

NS NS NS

Pinna, 2007134

Patients were contracted monthly by study nurse to determine their symptoms, current medication, and vital sign measurement

NS NS NS NS NS


G-1264




Intervention

Patient were contracted weekly by study nurse to determine their symptoms, current medication and vital sign measurement and blinded cardiorespiratory monitoring

Mean: 60, SD: 11, <60: 98, 60-70: 59, 70-79: 31, >=80: 7

(13) NS NS NS

Patient were contracted weekly by study nurse to determine their symptoms, current medication and vital sign measurement and cardiorespiratory monitoring

Mean: 60, SD: 11, <60: 98, 60-70: 59, 70-79: 31, >=80: 7

(13) NS NS NS

Pizziferri, 2005135

Use of EHR in the context of a clinic session

NS 20 physicians NS NS NS Years in practice, mean 13.5, SD: 8.4

Poon, 2003136

Multi-site qualitative study of US hospitals at various stages of CPOE implementation.

NS NS NS Senior management officials in 25 US hospitals 57


G-1265




Intervention

Priebe, 2007137

Control Mean: 41.8

83 (35.2)

Undifferentiated schizophrenia 89 (37.7); Paranoid schizophrenia 63 (26.7); Catatonic schizophrenia 4 (1.7); Hebephrenic schizophrenia 10 (4.2); Schizoaffective manic disorder 7 (3.0); Schizoaffective depression (moderate) 9 (3.8); Schizoaffective depression (severe) 2 (0.8); Schizoaffective bipolar disorder 9 (3.8); Delusional disorder 2 (0.8); Other non-organic psychotic disorders 41 (17.4)


G-1266




Intervention

In the intervention group clinicians used DIALOG, a computer mediated procedure to discuss 11 domains with their patients

Mean: 42.5 88 (32.5) NS NS NS Undifferentiated schizophrenia 91 (33.6); Paranoid schizophrenia 89 (32.8); Catatonic schizophrenia 1 (0.4); Hebephrenic schizophrenia 7 (2.6); Schizoaffectivemanic disorder 19 (7.0); Schizoaffective depression (moderate) 9 (3.3); Schizoaffective depression (severe) 3 (1.1); Schizoaffective bipolar disorder 15 (5.5); Delusional disorder 1 (0.4); Other non-organic psychotic disorders 36 (13.3)

Raebel, 2006138

Control Median: 60 2352 (51)

Staff from the departments of pharmacy, research, primary care, laboratory, and clinical technology collaborated to develop and implement computer programming to link drug and laboratory data

Median: 61 2313 (51) NS NS NS


G-1267




Intervention

Rahimpour, 2008139

Focus group interviews regarding the HTMS

Mean: 71 and 1 month, median: 71

NS NS NS

Ralston, 2009140

Control 18-35: (15), 35-50: (30), 51-65: (37), >65: (18)

(55)

Low-income neighborhood: (5)

Rural location (2); Distance to clinic >/= 17 miles (7); Morbidity – None (8), Very low (6), Low (17), Moderate (51), High or very high (18); History of depression (6); History of diabetes (8); History of CHF (1) Enrollment with Health Plan – 0-3 yrs (12), 4-8 yrs (19), 9-12 yrs (12), >12 yrs (56); Insurance – Commercial (78), Medicare (21), Medicaid (1)


G-1268




Intervention

Secure messages user (1-3 threads)

18-35: (15), 35-50: (31), 51-65: (40), >65: (14)

(60)


Rural location (2); Distance to clinic >/= 17 miles (7); Morbidity – None (3), Very low (4), Low (13), Moderate (58), High or very high (22); History of depression (9); History of diabetes (9); History of CHF (1); Enrollment with Health Plan – 0-3 yrs (12), 4-8 yrs (19), 9-12 yrs (13), >12 yrs (56); Insurance – Commercial (82), Medicare (17), Medicaid (1)

Secure messages user (4-8 threads)

18-35: (13), 35-50: (31), 51-65: (42), >65: (14)

(64)




G-1269




Intervention

Secure messages user (>8 threads)

18-35: (11)l 35-50: (29), 51-65: (43), >65: (17)

(65) NS Low-income neighborhood: (6)


Rothert, 2006141

Tailored Expert System Condition, program for weight management

Mean: 45.6, SD: 12.1

(82.9)

White: (56.8), Black: (35.4), Latino: (3.4), Other: (4.4)

BMI (kg/m2) 33.0 (3.8); Motivation (0-10 scale) 7.2 (2.0); Self-efficacy (1-5 scale) 2.5 (0.8); Weight (kg) 92.2 (14.4)

Information-only condition

Mean: 45.2 SD: 12.0

(82.7) NS NS BMI (kg/m2) 31.0 (3.9); Motivation (0-10 scale) 7.3 (2.1); Self-efficacy (1-5 scale) 2.5 (0.8); Weight (kg) 92.5 (14.3)

Rousseau, 2003142

CDSS using evidence-based guidelines for the primary care management of asthma in adults and

>=18 NS NS NS NS 19 semi-structured interviews with 13 respondents – Practice managers 2, Nurses 3, General practitioners 8; 40 people in randomized controlled trial


G-1270




Intervention

angina practices – Doctors 34, Nurses 3; Qualitative interview re study practices – Doctors (including 1 previously interviewed) 3

Rubin, 2006143

PDA-based CDSS and exit survey

NS NS NS User (physician) type and PDA use frequency

Ruland, 2003144

Assessment summaries were printed and given to the patient and clinician in the subsequent consultation

Patients 25, MDs 5; Patients 27 MDs 9

Ruland, 2004145

Survey of clinicians’ opinions about the usefulness of DSS for evidence- and patient preference-based illness management, factors important to their implementation, and criteria for evaluating their effectiveness

(49.7) NS NS Nurse, MD Physicians (54.9); Nurses (staff, head nurse, CNS, NP) (37); Other (8.2)

Saigh, 2006146

Mandatory computerized PAS in the outpatient EMR system

NS NS NS NS NS


G-1271




Intervention

Saleem, 2005147

Use by providers (MD, PA, resident, NP) and nurses of CRs in an HER in an outpatient clinic

NS NS NS NS NS

Samoutis, 2007148

The computer-based EMR: Physicians and nurses

Mean, physicians: 52, nurses: 40

The computer-based EMR: 18 patients

Mean: 65 10 (100) NS NS 8-12 yrs: 10 (100)

Schabetsberger, 2006149

E-card, an overall link-up of nearly all health service providers of the external sector

NS NS NS

Schifferdecker, 2008150


17 (85)

Role in practice – Provider 8 (40), Clinical staff 6 (30), Administration 2 (10), Other 4 (20); Years in practice 6.3, SD: 6.9; Hours per week 37.9, SD: 9.7; Computer with Web access available at work (1-5 scale) 4.5, SD: 1.1; Computer at work had fast Internet (1-5 scale) 4.1, SD: 1.4; Frequency of Web use at work (1-5 scale) 4.8, SD: 1.4


G-1272




Intervention

Initial: Training to implement Web resources

Mean: 46, SD: 12.7

17 (71)

Role in practice – Provider 10 (40), Clinical staff 7 (28), Administration 3 (12), Other 5 (20); Years in practice 8.8, SD: 8.6; Hours per week 41.2, SD: 8.4; Computer with Web access available at work (1-5 scale) 4.6, SD: 0.9; Computer at work had fast Internet (1-5 scale) 4.3, SD: 1.1; Frequency of Web use at work (1-5 scale) 4.8, SD: 1.6

Delayed: Training to implement Web resources NOTE: this is the control group for the data at followup 1, which was after the initial training but before the 2nd training

Mean: 43.6, SD: 11.1

17 (85) NS NS NS Role in practice – Provider 8 (40), Clinical staff 6 (30), Administration 2 (10), Other 4 (20); Years in practice 6.3, SD: 6.9; Hours per week 37.9 SD: 9.7; Computer with Web access available at work (1-5 scale) 4.5, SD: 1.1; Computer at work had fast Internet (1-5 scale) 4.1, SD: 1.4; Frequency of Web use at work (1-5 scale) 4.8, SD: 1.4

Schumann, 2008151

TTM-based intervention resulting in computer-generated tailored feedback for

NS NS NS


G-1273




Intervention

smoking cessation

Sequist, 2005152

Control Mean: 41.4, SD: 11

53 (52)

NS

NS

NS

Physicians

Evidence-based electronic reminders within patients' EMR regarding diabetes and CAD

Mean: 39.2, SD: 10

60 (65) NS NS NS Physicians

Sequist, 2007153

Full-functioning electronic health record within Indian Health Service

NS NS NS NS NS

Sevick, 2008154

PalmOne Tungsten/E2 PDAs preloaded with BalanceLog®

NS NS NS NS NS

Shea, 2007155

Control Mean: 71, Median: 70

NS NS NS NS

HTU Mean: 71, Median: 70

NS NS NS NS

Shiffman, 2000156

Control Mean: 43, Range: 31-53

3(33)

NS NS NS Interval since completion of residency, mean (yrs) 11.6; Percentage of effort in practice setting – Urban, inner-city (11), Urban, not inner-city (28), Suburban (56), Rural (5); Self-assessed computer experience – Nonuser 2, Novice 4, Intermediate 3.


G-1274




Intervention

For acute asthma exacerbations, computer provided for structured encounter documentation and offered recommendations based on the guideline of the AAP; patients were contacted by telephone 7 to 14 days after the visit to assess outcomes

Mean: 43 acute asthma exacerbations, Range: 31-53

3(33) NS NS NS Interval since completion of residency, mean (yrs) 11.6; Percentage of effort in practice setting – urban, inner-city (11), Urban, not inner-city (28), Suburban (56), Rural (5); Self-assessed computer experience – Nonuser 2, Novice 4, Intermediate 3

Shore, 2008157

Telepsychiatry with videoconferencing

Mean: 54, Median: 54, Range: 46-71

(0) American/Indian: 53 (100)

NS 12-16 yrs: 28 (52) Had been married in the past 48 (90); Currently married1 7 (32)

Shu, 2001158 Computerized physician order entry

NS NS NS NS NS

Sicotte, 1998159

CPR NS NS NS NS

Sicotte, 2009160

Survey of nurses and physicians on electronic clinical information system

<=40, Nurses: (50), Pphysicians: (33)

Nurses (89), Physicians (26)

NS NS NS Had significant computer experience – Physicians (69), Nurses (31)

Simon, 2007161

EHR use NS (36.4) NS NS NS

Simon, 2008162

Survey of a stratified random

NS NS NS


G-1275




Intervention

sample of 1829 office practices in Massachusetts in 2005

Sittig, 2006163

Survey of PCPs to identify factors that affected their acceptance of clinical decision support

Mean: 46.5 (38) NS NS NS Tenure at Kaiser Permanente 11.7 years

Smith, 2005164

Determined the impact of online documentation on staff attitudes, completeness of documentation, and the time needed for documentation

NS Total: 35 nurses

NS NS NS

Smith, 2007165


Mean yrs: 12.1 (4.1)

Mini-Mental State Examination (MMSE) score 25.7 (3.3); Neuropsychiatric Inventory score 0 (0)

Video Mean: 79.8, SD: 11.4

Mean yrs: 11.9 (2.8) (MMSE score 23.2 (1.9); Neuropsychiatric Inventory score 0.4 (1.3)

Phone Mean: 81.9, SD: 11.0

NS NS MMSE score 22 (2.1); Neuropsychiatric Inventory score 0 (0)


G-1276




Intervention

Tamblyn, 2003166

Control Mean: 75.3

4028 (64.2) Total physician visits 21.2, SD: 20.5; Visits to primary care physician 8.3, SD: 5.5; Visits to primary care physician (51.4), SD: (25.5); Total prescriptions 53.3, SD: 40.7;, Prescriptions from primary care physician 32.4, SD: 31.8, Prescribing physicians 3.3, SD: 2.2; Pharmacies 1.8, SD: 1.2, Prevalence of potentially inappropriate prescribing in the 2-month period before the study (14 items) 53; MD characteristics – age, sex, first language, location of medical school training (graduation), computer experience, number of eligible patients in practice


G-1277




Intervention

Computerized decision-making support Group

Mean: 75.4 3845 (61.2) NS NS NS Total physician visits 20.7, SD: 19.5, Visits to primary care physician 7.7, SD: 5.3; Visits to primary care physician (49.5), SD: (26.4); Total prescriptions 51.0, SD: 43.1; Prescriptions from primary care physician 30.3, SD: 32.4; Prescribing physicians 3.3, SD: 2.3; Pharmacies 3.3, SD: 2.3; Prevalence of potentially inappropriate prescribing in the 2-month period before the study (14 items) 54

Tan, 2006167 Interview survey of cancer-treating clinicians to determine what human, electronic and printed information sources to guide pharmacological treatment they perceived as the most readily available and time-efficient at the point of

<=25: 1, 26-35: 17, 36-45: 6, 46-55: 7, >55: 1

22 NS NS NS Senior Medical Officer 8; Junior Medical Officer 8; Oncology Pharmacist 7; Oncology Nurse 7; Pharmacist 1; Pharmacy technician 1; Patients treated – Inpatient only 3, Outpatient (ambulatory) only 4, Both inpatient and outpatient 25


G-1278




Intervention

care

Thomas, 2004168

Control Mean: 42.4

66

Married/cohabiting (60); Home owners/occupier (63); Car owner (84); Living comfortably (15); Long-standing disability/infirmity (66)

Participants completed a computerized psychosocial assessment that generated a report for the GP, including patient-specific treatment recommendations.

Mean: 43.5 72 NS NS NS Married/cohabiting (58); Home owner/occupier (61); Car owner (79); Living comfortably (16); Long-standing disability/infirmity (61)

Tierney, 2003169


(66)

Black: (59)

Primary care visits during the study, mean 4.5, SD: 3.5; Enrolled patients completing the 12-month interview 119 (66)

Physician intervention

Mean: 61, SD: 12

(61)

Primary care visits during the study 5.3, SD: 4.1; Enrolled patients completing the 12-month interview 142 (72)


G-1279




Intervention

Pharmacist Intervention

Mean: 57, SD: 12

(68) Black: (54) NS NS Primary care visits during the study 4.8, SD: 3.7; Enrolled patients completing the 12-month interview 107 (68)

Tierney, 2005170


71

White: 61

Mean yrs: 9.9, SD: 3.0

COPD (74)

Physician Intervention

Mean: 50, SD: 14

77

White: 55 Mean yrs: 10.1, SD: 2.9

COPD (70)

Pharmacist Intervention

Mean: 51, SD: 14

68

COPD (63)

Both Interventions

Mean: 51, SD: 14

71 White: 59 NS Mean yrs: 10.4, SD: 2.9

COPD (68)

Trief, 2006171 Control Mean: 69.5

(38.71)

White: 58 (93.55), Black: 2 (3.23), Other: 2 (3.23)

$2,580.01 per month

Mean yrs: 12.33

Telemedicine intervention

Mean: 70.64 (45.83) White: 68 (94.44), Black: 2 (2.78), Other: 2 (2.78)

: $2,306.47 Mean yrs: 12.69

Trivedi, 2002172

Discussion: 1) barriers of implementation of guidelines in general and of CDSSs; 2) importance of physician’s role in development, implementation, and adherence; 3) methods that could improve CDSS acceptance

NS NS NS NS NS


G-1280




Intervention

and use; 4) the types of tools needed to obtain end-user feedback

Trivedi, 2009173

Computerized decision support system for depression (CDSS-D)

NS NS NS

Tsang, 2001174

Mean: 35

2 (225) Duration of illness, mean (yrs) 11.8, SD: 3.5; Body mass index, mean (kg/m2) 26.0, SD: 5.8; Basal HbA1c (8.81), SD: 1.79

Group 1 used the DMS for 12 weeks and then had a control period of 12 weeks

Mean: 30 5 (50) NS NS NS Duration of illness (yrs) 5.3, SD: 6.5; Body mass index, mean (kg/m2) 22.2, SD: 3.1; Basal HbA1c (8.56) SD: 1.79

Tudiver, 2007175

IDEATel: telemedicine to electronically deliver health care services to Medicare patients with diabetes in federally designated medically underserved areas of upstate New York

Mean (PCPs): 48, SD: 20.0

32 (27.6) NS NS NS PCP Type –Physician 91 (81.9), Physician Assistant 4 (3.6), Nurse Practitioner 8 (7.2), Doctor of Osteopathy 8 (7.2); Practice base – Institution 41 (38.7), Self 58 (54.7), Other 7 (6.6); PCP care panel size –<=2,000 36 (38.3), 2,001-4,000 40 (42.6), 4,001-6,000 11 (11.7), 6,001 and over 7 (7.4), Average 3,393, SD: 3,718;


G-1281




Intervention

Clinical practice per week, mean (hours) 47.7, SD: 19.81; Patients per PCP enrolled in the study – 1-5 68 (60.7), 6-10 28 (25.0), 11-15 10 (8.9), >15 6 (5.4), Average (year 1, N = 112) 3.0, SD: 2.89, Average (year 2, N = 66) 3.2 patients SD: 3.07; Minutes per month spent on IDEATel, mean (year 1) 33.5, SD: 3.175

Tufano, 2008176

Elicited, described, and characterized providers’ perceptions of the effects of the Access Initiative, an information technology-enabled organizational redesign initiative intended to promote patient-centered access

NS NS NS NS NS 21 care providers representing 14 medical specialties were recruited; participants worked at least 50% of time performing direct patient care activities

Valdes, 2004177

Characterized users and non-users of EHR/EMR software, identified

<40: (23.5), 40-5:(23.7), >65: (19.1)

(24.1) NS NS NS Urban (23.5); Rural (23.7)


G-1282




Intervention

potential barriers to proliferation, examined the extent of standardization across reported EHR/EMR, and suggested possible solutions to identified barriers

van den Berg, 2008178

A short questionnaire sent to patients regarding implementation of an Internet-based physical activity intervention, phone calls to rheumatology centers and insurance companies

NS NS NS

Van Den Brink, 2005179

Evaluate use, appreciation and effectiveness of electronic health information support system in H&N cancer care

Range: 38-78

10 (27.7) NS NS NS


G-1283




Intervention

van Wijk, 2001180

BloodLink-Guideline, an indication- oriented test-ordering system

Mean: 43.2, Median: 43, Range: 39-47

Experience at start of study, mean (yrs) 15.6, Median 16.0, Range 12.0-20.0

BloodLink- Restricted group, a system which initially presented a limited list of tests

Mean: 43.7, Median: 42, Range: 38.7-48.2

NS NS NS Experience at start of study, mean (yrs) 16.5, Median 15.0

Vanmeerbeek, 2004181

Use of EMR in FMH

NS NS NS NS NS

Varonen, 2008182

EBMeDS focus group interviews re (CDSS)

Median: 46, Range: 27-56

(44) Work experience, median 17; Daily computer use; Medication

Velikova, 2002183

Compute-administered individual quality of life measurement in oncology clinics

Median: 57.4, Range: 43-77

22 NS NS Basic school education: 3, Studied in college: 9, Higher university education: 3, Uknown: 3

Wade, 2005184

Web-based problem solving intervention

Mean: 10.5 2 NS NS NS Children with TBI 6, Parents 8, Siblings 5

Wang, 2003185

Cost-benefit study to analyze the financial effects of electronic medical record systems in ambulatory primary care

NS NS NS NS NS


G-1284




Intervention

settings from the perspective of the health care organization

Wang, 2009186

Cross-sectional survey of physicians who either had installed or were awaiting installation of one of two commercial e-prescribing systems


NS NS NS

Weingart, 2006187

Control Mean: 52.9, Range: 21-92

(56)

W:(54)

100 Case-control

PatientSite Mean: 42.9, Range: 20-81

(67) W:(80) NS NS 100 Case-control

Weiss, 2005188

Web-based information and communication systems for cancer patients to provide holistic cancer care and communication

NS NS NS NS NS


G-1285




Intervention

West, 2004189

Homecare patients

<65, Male: (13), Female: (18.2), >=65, Male: (25.1), Female: (43.6)

(61.8) White and Other: (68.6), Black: (31.1), Hispanic: (0.3)

NS NS

Telemedicine patients

<65, Male: (10.9), Female: (28.3), >=65, Male (19.5), Female: (41.3)

(69.6) White and Other: (60.9), Black: (39.1), Hispanic: (0)

NS NS

Wilbright, 2006190

Self-assessment survey administered to nurses and nursing support staff to determine proficiency with computer skills they might perform at work: 15-question self-assessment survey to the nurses and nursing support staff

5-50: (49), <35:(23), >50: (28)

NS Nursing or related degree

RNs (60)

Winkelman, 2005191

Focus groups, Interviews, and observation

Range: 21-60

7 (58) NS NS NS Diagnosis, Years since diagnosis


G-1286




Intervention

Woods, 1999192

Mean: 33.32, SD: 10.23

33 (55)

Mean yrs: 12.62, SD: 2.25

Insurance status –Medicaid 25 (41.7), Medicare 4 (6.7), Private insurance 11 (18.3), Medicaid/Medicare 12 (20.0), Other 1 (1.7), None 7 (11.7); Employment status – Employed 13 (21.7), Unemployed 47 (78.3); Genotype – HbSS 49 (81.7), HbSC 7 (11.7), HbSbthal 3 (5.0), Other 1 (1.7); Hydroxyurea treatment – Yes 29 (48.3), No 31 (51.7); Complications – Cardiomyopathy 4 (7.0),


G-1287




Intervention

Telemedicine Mean: 29.37, SD: 10.18

36 (30) NS NS Mean yrs: 12.03, SD: 2.39

Insurance status – Medicaid 43 (1.7), Medicare 4 (6.7), Private insurance 6 (10.0), Medicaid/Medicare 6 (10.0), Other 1 (1.7), None 0 (0.0); Employment status – Employed 17 (28.3), Unemployed 43 (71.7); Genotype – HbSS 57 (95.0), HbSC 1 (1.7), HbSbthal 2 (3.3), Other 0 (0.0); Hydroxyurea treatment – Yes 45 (75.0) No 15 (25.0) Complications – Cardiomyopathy 0 (0.0),

AAP: American Academy of Pediatrics, AF: Air Force, ATDM: Automated telephone disease management, BIT: Behavioral Internet treatment, BMI: Body mass index, CAD: Coronary artery disease, CDSS: Clinical decision support system, CHESS: Comprehensive Health Enhancement Support System, CHF: Congestive heart failure, COPD: Chronic obstructive pulmonary disease, CPOE: Computerized provider order entry, Computerized physician order entry, CPR: Computer-based patient record, CPGs: Clinical practice guidelines, CRs: Clinical reminders, DM: Diabetes mellitus, DMH: Department of Mental Health, D-PHIMS: Distributed Personal Health Information Management System, DSS: Decision support systems, EBMeDS: Evidence-based Medicine Electronic Decision Support, ED: Emergency department, EDECS: Emergency Department Expert Charting System, EHR: Electronic health record, EMR: Electronic medical record, fDSMP: face-to-face dyspnea self-management programs, FEV1: Forced expiratory volume in 1 second, FMH: French-speaking Belgian Medical Houses, HCO: Homecare organization, HIV: Human immunodeficiency virus, H&N: Head and neck, ICU: Intensive care unit, IIS: Immunization information system, ISS: Injury Severity Score, IT: Information technology, IVD: Interactive video disk, HTU: Home telemedicine unit, HTMS: Home Telecare Management System, LMR: Longitudinal medical record, MCIR: The Michigan Care Improvement Registry, MD: Doctor, MMSE: Mini-Mental Status Examination, NICU: Neurointensive care unit, NIH: National Institutes of Health, NP: Nurse practictioner, NS: Not specified, PA: Physician’s assistant, PAS: Pain assessment screen, P'ASMA: A Web-based asthma self-management support tool, PCASSO: Patient-Centered Access to Secure Systems Online, PCP: Primary care provider or primary care physicians, PDA: Personal digital assistant, PHIMS: Personal Health Information Management System, PSG: Polysomnography, RCT: Randomized Controlled Trial, RIAS: Roter Interaction Analysis System, RN: Nurse, Rx: Prescription, SF: Store and forward, SMS: Short messaging system, SPs: Subspecialty pediatricians, SPPARO: System Providing Patients Access to Records Online, TTM: Transtheoretical model, VA: Veteran’s Affairs, YHP: Youth health provider.

Evidence Table 33. Characteristics of patients in studies addressing barriers, facilitators, and/or drivers to the use of health IT to implement patent-centered care

G-1288

Reference List

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165 Smith GE, Lunde AM, Hathaway JC, Vickers KS. Telehealth home monitoring of solitary persons with mild dementia. American Journal of Alzheimer's Disease and Other Dementias 2007; 22(1):20-6.

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168 Thomas HV, Lewis G, Watson M et al. Computerised patient-specific guidelines for management of common mental disorders in primary care: a randomised controlled trial. Br J Gen Pract 2004; 54(508):832-7.

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184 Wade SL, Wolfe CR, Brown TM, Pestian JP. Can a Web-based


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192 Woods KF, Kutlar A, Johnson JA et al. Sickle cell telemedicine and standard clinical encounters: A comparison of patient satisfaction. Telemedicine Journal 1999; 5(4):349-56.

evidence table 33. characteristics of patients in studies ... table 33. characteristics of patients...

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