Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

Begin by introducing yourself to the class. Describe your current setting or professional experience and give your definition of health information technology, explaining why it is important for clinicians to know.

How important is the attitude of nurses in effectively implementing health information technology? What attitudes toward HIT have you encountered in your professional career?

Include at least two references with your initial response to this question with citations in APA style.

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Factors Affecting Nurses’ Attitudes Toward Computers in Healthcare

NURTEN KAYA, PhD, BSN

Adapting to technological innovations represents a key process for improving and restructuring healthcare. Tech- nological developments have, in addition to many existing assignments, exposed nursing personnel to new tasks and responsibilities in many areas of practice including home- care, clinic settings, schools, and hospitals.1–4

Although the introduction of computers, representing a significant facet of technologic developments, to both daily and professional lives of nurses has been rapid, the literature indicates a resistance by nurses to use of com- puters in healthcare. Nurses argue that use of computers in healthcare is not in accordance with holistic and hu- manistic approaches, which represent the main philoso- phy of nursing, and that computers are complex devices to work with, to justify their resistance to use computers in healthcare.5–12 However, it is being increasingly ac- knowledged in recent years that technology and therefore computerization will contribute to the decision-making capabilities and skills of nurses, improve the quality of healthcare, and reduce the costs of services.5,13

Because of the accelerated development of technology, hospitals have expanded the use of computers to many areas. Initially, areas such as human resources, financial, and logistics systems were computerized. Later on, these systems expanded to include clinical communications and storage of patients’ historical data, such as physi- cians’ orders, laboratory results, and computerized nursing care plans. The growth of hospital information systems has also had significant impacts on nursing practice. Integration of computers in the work per- formed by nurses is an innovation that requires nurses to change their working methods and even their function

in the department. The successful implementation of computer systems in nursing practice is likely to be directly related to users’ attitudes toward computer- ization. Thus, the attitudes nurses have toward the use of computers are very important, and use of computers in healthcare requires that objective and comparative in- formation on how nurses view the use of computers and the factors affecting these attitudes is available. If

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The purpose of the study was to determine fac-

tors affecting nurses’ attitudes toward com- puters in healthcare. This cross-sectional study was carried out with nurses employed at one

state and one university hospital. The sample of the study included 890 nurses who were selected via a purposive sampling method.

Data were collected by using a questionnaire for demographic information and Pretest for Attitudes Toward Computers in Healthcare As- sessment Scale v.2. The nurses, in general, had

positive attitudes toward computers. Findings of the present study showed a significant differ- ence in attitudes for different categories of age

(P G .001), marital status (P G .05), education (P G .001), type of facility (P G .01), job title (P G .001), computer science education (P G .01), computer experience (P G .001), duration of computer use (P G .001), and place of use of computer (P G .001). The results of the present study could be used during planning and implementation of

computer training programs for nurses in Turkey and could be utilized in improving the participa- tion of Turkish nurses in initiatives to develop

hospital information systems and, above all, in developing computerized patient care planning. Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

K E Y W O R D S

Attitudes & Attitude toward computers & Computers &

Nursing

I N T E R N A T I O N A L

Author Affiliation: Istanbul University, Florence Nightingale School of Nursing, Department of Fundamentals of Nursing, Turkey.

Correspondence: Nurten Kaya, PhD, BSN, Istanbul University, Florence Nightingale School of Nursing, Department of Fundamentals of Nursing, Turkey, Abide-i H[rriyet Cad, 34381, Istanbul, Turkey ([email protected]; [email protected]).

DOI: 10.1097/NCN.0b013e3181f9dd0f

Copyright @ 201 Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.1

attitudes of nurses are adequately assessed, then imple- mentation strategies can be developed to support nurses who are less willing to accept computerization.1,4,14–16

The study of nurses’ attitudes toward computers be- gan in the late 1960s. Numerous studies have examined the importance of nurses’ attitudes toward how success- fully computers are introduced into a nursing unit. Study designs ranged from one-time descriptive studies exam- ining demographic variables influencing computer ac- ceptance, to studies comparing users with nonusers, and measurement of attitudes before and after computer- ization. Descriptive studies attempted to correlate nurse attitudes with such variables as age, educational level, and previous computer experience.16

Summers17 reviewed more than 11 studies about the attitudes and anxiety of nurses toward hospital computer systems and, based on these studies, reported that nurses expressed fears that computerization may contribute to loss of jobs and/or loss of data and that nurses also ex- pressed fears that more time would be spent with com- puters and less time with patients. Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

On the other hand, there are many studies in the lit- erature emphasizing the importance of health infor- matics.2,9,16,18–20 These studies, on this basis, point out a requirement for revision in both the education of nurse candidates and continuous education programs of nurses to include health informatics. Possession of computer skills is a key prerequisite for nurses and nurse candidates to be able to utilize health informatics. In this sense, negative attitudes toward computers represent a potential barrier to computerization of medical records.21 In fact, some investigators have reported that nurses experienced difficulties regarding information technology. According to Darbyshire, ‘‘Clinicians were finding the everyday use of computerized patient information systems and com- puter technology far more troublesome and problematic than manufacturers, software developers, and information technology advocates may appreciate.’’22(p94) However, successful implementation of information technologies would be a significant acquisition for nurses. Pabst et al23(p25) had reported that ‘‘nurses who used compu- terized documentation were able to decrease time spent in documentation activities, and they were able to increase time spent in direct patient care.’’ Johnson et al24 inves- tigated the differences in three areas (nursing time dis- tribution, nurse attitudes toward computerization, and compliance with charting standards) before and after im- plementation of computerized charting. They found that implementation of computerized charting made up pos- itive changes in these areas.24

Turkish nurses, currently, cannot fully utilize com- puter technology in their practices, and their use of com- puterized systems is, in general, limited to some certain functions including recording of nursing practices such as vital signs measurements, keeping records of health-

care products and materials used, supplying these pro- ducts and materials, implementing nursing management functions, obtaining therapeutic information, recording laboratory function requests and physician requests, and supplying drugs from pharmacies.25 On the other hand, major changes are taking place in healthcare policies in Turkey, and information technology is becoming in- creasingly involved in the healthcare domain. Nurses in Turkey are required to adapt to this evolution. To achieve this, nursing practices should be integrated to computer- ized patient information systems in accordance with the nursing process. As a critical step in this process, nurses’ attitudes toward computers in healthcare and potential influential factors should be determined. Strategies to en- able nurses to use computers in healthcare may be de- veloped in light of the analysis presented herein. Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

Many nurses use computers in their personal lives as well as during professional practice to collect data, ac- cess information, implement actions, and record responses. Nursing educators, leaders, and nurses believe that com- puter competencies are now essential for nurses. Therefore, attitudes of nurses as members of the healthcare team to- ward computers should be investigated. Several studies have been conducted worldwide to examine nurses’ atti- tudes toward use of computers and factors affecting their attitudes.4–7,9–12,14,15,26–32 However, the number of such studies in Turkey is limited.25,33 Therefore, the present study was performed with the purpose of identifying the attitudes of Turkish nurses toward the utilization of com- puters in healthcare and factors affecting their attitudes.

PURPOSE AND RESEARCH QUESTIONS

The purpose of the present study was to determine fac- tors affecting nurses’ attitudes toward computers in healthcare. The research was carried out using a cross- sectional design. Research questions were the following:

(1) What are nurses’ attitudes toward computers in

healthcare?

(2) Are nurses’ attitudes related to demographic factors

such as sex, age, marital status, education, years of

nursing experience, type of facility, job title (nursing

director/assistant director/instructor, head nurse of unit,

nurse), shift worked (days, nights, or rotation), computer

science education, computer experience, duration of

computer use, and place of use of computer? Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

METHODS

Population and Sample

The population of the study included nurses employed at one state and one university hospital. The total number

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of nurses employed at these two hospitals at the time of study was 1085: 320 nurses in the state hospital and 765 nurses in the university hospital. The sample included 890 nurses in total (82.03% of all nurses employed at the two hospitals): 268 nurses from the state hospital (83.75% of nurses employed at the state hospital) and 622 nurses from the university hospital (81.31% of nurses employed at the university hospital) chosen among those who were willing to participate via purposive sampling. The paper- based survey was distributed by the nursing director of the university hospital and by the education nurse of the state hospital directly to the nurses in all units. Participants were requested to complete the survey within 24 hours of receipt. Completed surveys were collected back by the nursing director and the education nurse.

Instruments

A questionnaire made up of two parts was used in the study:

Part 1

A structured questionnaire for examining demographic details (sex, age, marital status), professional back- ground (education, years of nursing experience, type of facility, job title, shifts mainly worked), and computer use (computer science education, computer experience, duration of computer use, place of use of computer) was used. The questionnaire was developed by the researcher in light of the literature.4–6,9,11,15,27–29

Part 2

The Pretest for Attitudes Toward Computers in Health- care Assessment Scale v.2 (PATCH Assessment Scale v.2) was used for examining the nurses’ attitudes toward computers in healthcare. The PATCH Assessment Scale

was developed by Kaminski34 in 1996, and its second version was published in 2007. The second version was used in the present study. The scale measures nurses’ perceptions and attitudes toward use of computers in healthcare settings. The 40-item, 5-point Likert scale questionnaire consists of positive and negative worded statements. Data on attitude statements were scored as 1 point for ‘‘agree strongly,’’ 0.5 point for ‘‘agree,’’ 0 point for ‘‘not certain,’’ j0.5 point for ‘‘disagree,’’ and j1 point for ‘‘disagree strongly’’ (items 1, 2, 4, 6, 7, 8, 11, 12, 16, 17, 18, 19, 21, 24, 29, 31, 33, 34, 36, and 37 of the PATCH Assessment Scale) for positive state- ments and reverse for the negative statements: j1 point for ‘‘agree strongly,’’ j0.5 point for ‘‘agree,’’ 0 point for ‘‘not certain,’’ 0.5 point for ‘‘disagree,’’ and 1 point for ‘‘disagree strongly’’ (items 3, 5, 9, 10, 13, 14, 15, 20, 22, 23, 25, 26, 27, 28, 30, 32, 35, 38, 39, and 40 of the PATCH Assessment Scale). The scores for each state- ment were added to give an attitude score for each sub- ject. The score range of the PATCH Assessment Scale is j40 to 40, and high scores are indicators of favorable attitudes toward computers in healthcare. Continuous scores were also used to categorize the participants by their attitudes toward computers in healthcare. Each participant was appointed to one of the groups listed in Table 1, based on his/her score from the scale.34

INSTRUMENT VALIDITY AND RELIABILITY

The validity and reliability of the Turkish version of the PATCH Assessment Scale were established by Kaya and AztN.35 The adaptation of the scale to Turkish language was performed via back-translation, and the translated scale was submitted for expert review to determine the content validity. Its reliability was examined with test- retest reliability and internal consistency, while its validity was examined with criterion-related validity

T a b l e 1

PATCH Assessment Scale Score Interpretations

Points Interpretations

j40 to j28 Points (group 1)

Positive indication of cyberphobia. Beginner stage in experience with computer basics or applications. Ambivalence or anxiety may occur, related to the use of computers in healthcare.

May appreciate help in learning basic computer skills j27 to j15 Points (group 2)

Indicates some uneasiness about using computers. Very basic knowledge of computer basics and applications. Unsure of usefulness of computers in healthcare

j14 to j4 Points (group 3)

Moderate comfort in using computers. Has basic knowledge of computers and applications. Limited awareness of applications of computer technology in healthcare

j3 to 12 Points

(group 4)

Feels comfortable using user-friendly computer applications. Aware of the usefulness of computers

in a variety of settings. Has a realistic view of current computer capabilities in healthcare 13 to 26 Points (group 5)

Confident of ability to use a variety of computer programs. Sees computers as beneficial in the development of society. Enthusiastic view of the potential of computer use in healthcare

27 to 40 Points

(group 6)

Very confident that they can learn to use a computer to boost creativity and perform routine functions.

Recognizes the unique value of using information technology in society. Idealistic, positive view related to computer applications in healthcare

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(concurrent validity). The test-retest reliability of items of the PATCH Assessment Scale was 0.20 to 0.77, and 0.85 for the total scale. For internal consistency, the scale’s corrected item-total correlation was 0.06 to 0.68, and Cronbach ! was .92. Concurrent validity was ex- amined with correlation between Attitudes Toward Computers Scale and PATCH Assessment Scale scores, and there was positively significant correlation (r = 0.66, P G .01). The findings concerning the reliability and validity of the Turkish version of the PATCH Assessment Scale indicate that this instrument can be used in the studies conducted in Turkey. In this study, Cronbach ! values were determined to be 0.92 for PATCH Assessment Scale. In another evaluation that was directed toward the internal consistency of the scale, PATCH Assessment Scale’s corrected item-total correlation was found to be 0.05 to 0.60. The data of this study showed parallelism to the study by Kaya and AztN.35 Therefore, the PATCH Assess- ment Scale data obtained from the sampling group in the present study were concluded to be reliable. Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation

Ethical Considerations

Approval for using the PATCH Assessment Scale was re- ceived from Kaminski. A written approval for the exe- cution of the research was received from the ethics committee of the hospitals where the research data were gathered. The participants were assured that there were no correct or wrong answers, and they were asked to be as genuine as possible. The participants were also told that their responses would be anonymous and that the data were to be used for scientific purposes only.

Data Analysis

The obtained data were analyzed using SPSS version 11.0 (SPSS Inc, Chicago, IL) for Windows. Cronbach ! anal- ysis and corrected item-total correlation were used in determining the internal consistency of the scale. Ordi- nal data were evaluated by means of arithmetic aver- age, SD, and minimum and maximum values, while nominal data were evaluated by frequency and percent- age measurements. Differences in proportions between groups were calculated using analysis of variance (ANOVA) models for continuous data.

RESULTS

Nurses’ Demographic Data, Professional Characteristics, and Computer Use Background

Ninety-nine percent (n = 881) of the participants were female, and the mean age was 34.24 (SD, 7.77) years

(range, 19–59 years). Of the participants, 12.5% (n = 111) were graduates of an occupational high school of health, 50.2% (n = 447) had an associate’s degree, 30.1% (n = 268) had a bachelor’s degree from a university with 4-year education, and 7.2% (n = 64) of the participants had a master’s degree or higher. The mean duration of nursing experience was 13.39 (SD, 8.11) years (range, 3 months to 40 years). Of the participants, 81.3% (n = 724) were nurses, and 16.1% (n = 143) were head nurses of a unit; 77.9% (n = 693) indicated that they had an experience of using computers. The variables ‘‘duration of computer use’’ and ‘‘place of use of computer’’ were studied in nurses who had a previous experience of com- puter use (N = 693). Among the nurses who had a pre- vious experience of working with computers (N = 693), the mean duration of computer use was 4.45 (SD, 2.77) years (range, 1 month to 12 years). Of the nurses who had an experience with computers (N = 693), 32.8% (N = 227) had access to computer at home only, while the majority (52.5%; n = 364) had access to computers at both work and home (Table 2).

Nurses’ Attitudes Toward Computers in Healthcare

The average score the nurses received from the PATCH Assessment Scale was 12.94 from a potential score range of j40 to 40 of the scale (SD, 10.03; range, j19.50 to 40.00) (Table 2). The nurses were categorized into groups shown in Table 1 according to scores they re- ceived from the PATCH Assessment Scale, and the dis- tribution demonstrated in Figure 1 was obtained. None of the nurses were assigned to group 1. Most of the nurses were allocated to group 4 (38.2%; n = 340) and group 5 (47.2%; n = 420), while very few to group 2 (0.4%; n = 4). The percentage of nurses in group 3 was 5.7% (n = 51). Of the nurses, 8.4% (n = 75) were in group 6, which represents the group with the most pos- itive attitude toward computers in healthcare.

Effects of Nurses’ Demographic, Professional, and Computer Use Characteristics on Attitudes Toward Computers in Healthcare

Table 2 gives descriptive statistics and ANOVA of the PATCH Assessment Scale total scores by demographic, professional, and computer use characteristics of the nurses; ANOVA showed a significant difference of atti- tudes for different categories of age (P G .001), marital status (P G .05), education (P G .001), type of facility (P G .01), job title (P G .001), computer science edu- cation (P G .01), computer experience (P G .001) and

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T a b l e 2

Descriptive Statistics and ANOVA of Total Attitude by Nurses’ Background Characteristics (n = 890)

Characteristics No. (%) Total Scorea

Mean (SD)

ANOVA

F/t P

Sex j1.220 .223

Female 881 (99.0) 12.90 (10.04)

Male 9 (1.0) 17.00 (8.41)

Age, y 7.577 .000

e25 80 (9.0) 14.07 (10.07)

26–33 377 (42.4) 14.16 (9.75)

34–41 311 (34.9) 12.58 (10.51)

Q42 122 (13.7) 9.39 (8.75)

Age, mean (SD) 34.24 (7.77) (range, 19–59) r = j0.178 .000

Marital status j2.172 .030

Married 504 (56.6) 12.31 (10.42)

Single 386 (43.4) 13.77 (9.45)

Education 33.360 .000

High school 111 (12.5) 10.28 (9.88)

2–y Degree 447 (50.2) 11.03 (9.63)

Bachelor’s degree 268 (30.1) 15.03 (9.44)

Master’s or higher 64 (7.2) 22.21 (8.46)

Years of nursing experience 0.850 .494

e5 173 (19.4) 13.99 (9.50)

6–11 263 (29.6) 12.99 (10.71)

12–17 131 (14.7) 11.91 (10.47)

18–23 245 (27.5) 12.83 (9.40)

Q24 78 (8.8) 12.58 (10.02)

Years of nursing experience, mean (SD) 13.39 (8.11) (range, 3 mo to 40 y) r = j0.035 .295 Type of facility 2.632 .009

University hospital 622 (69.9) 13.52 (10.07)

Public hospital 268 (30.1) 11.60 (9.83)

Job title 10.575 .000

Nursing director/assistant director/instructor 23 (2.6) 20.23 (6.02)

Head nurse of unit 143 (16.1) 14.96 (8.77)

Nurse 724 (81.3) 12.32 (10.23)

Shifts mainly worked 0.511 .600

Days 412 (46.3) 12.76 (10.36)

Nights 44 (4.9) 11.84 (14.34)

Rotation 434 (48.8) 13.23 (9.18)

Computer science education 3.139 .002

Yes 362 (40.7) 14.21 (9.91)

No 528 (59.3) 12.07 (10.04)

Computer experience 4.260 .000

Yes 693 (77.9) 13.70 (9.70)

No 197 (22.1) 10.28 (10.73)

Duration of computer use,c y 23.668 .000

G1 101 (14.6) 9.63 (10.12) 1–3 191 (27.6) 10.84 (9.53)

3–5 196 (28.2) 14.87 (8.51)

95 205 (29.6) 17.25 (9.25) Duration of computer use,c mean (SD) 4.45 (2.77) (range, 1 mo to 12 y) r = 0.314 .000 Place of use of computerb,c 22.395 .000

At work only 102 (14.7) 14.62 (10.97)

At home only 227 (32.8) 10.30 (9.30)

Both home and at work 364 (52.5) 15.56 (9.01)

Overall score 890 (100) 12.94 (10.03) (range, j19.50 to 40.00)

aTotal score indicates summarized score of all items (higher score represents more positive attitudes toward computers; average total score, 12.94, average

score for the 40-item part of the questionnaire). bMultiple choices were possible. cNurses who use computer answered (N = 693).

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duration of computer use (P G .001), and place of use of computer (P G .001).

Effects of nurses’ age on PATCH Assessment Scale points were examined with the secondary multiple com- parison analysis (Tukey least significant difference) and showed statistically significant differences between the age groups 25 years or younger (e25) and 42 years or older (Q42) (P = .006), 26 to 33 and Q42 years (P = .000), and 34–41 and Q42 years (P = .014). The highest attitude score was in the 26- to 33-year age group, followed by e25-year, 34- to 41-year, and Q42-year age groups, re- spectively. In addition, an assessment of correlation be- tween PATCH Assessment Scale scores and nurses’ ages revealed reduced PATCH Assessment Scale scores with increasing age (r = j0.178, P = .000), indicating a neg- ative effect of age on attitudes toward computers in healthcare (Table 2).

When the effects of nurses’ nursing education variable on PATCH Assessment Scale points were examined with the secondary multiple comparison analysis (Tukey least significant difference), the differences between high school and bachelor’s degree groups (P = .000), high school and master’s degree or higher level of educa- tion groups (P = .000), 2-year degree and bachelor’s de- gree groups (P = .000), 2-year degree and master’s or higher groups (P = .000), and bachelor’s degree and master’s degree or higher groups (P = .000) were deter- mined to be statistically significant. The highest mean PATCH Assessment Scale score was in the master’s de- gree or higher level of education group, followed by bachelor’s degree, 2-year degree and high school groups, respectively (Table 2).

An analysis of the effects of nurses’ job title on PATCH Assessment Scale points using the secondary multiple comparison analysis (Tukey least significant difference) demonstrated significant differences between nursing director/assistant director/instructor and head nurse (P = .048), nursing director/assistant director/instructor and nurse (P = .000), and head nurse and nurse (P = .010) groups. The mean PATCH Assessment Scale score was found to be the highest in the nursing directors/assistant directors/instructors group, followed by head nurses and nurses groups, respectively (Table 2).

When the effects of nurses’ duration of computer use variable on PATCH Assessment Scale points were exam- ined with the secondary multiple comparison analysis

(Tukey least significant difference), the differences be- tween the groups with G1 and 3–5 years (P = .000), G1 and G5 years (P = .000), 1–3 and 3–5 years (P = .000), 1–3 and G5 years (P = .000), and 3–5 and G5 years (P = .049) were noted to be statistically significant. The highest mean PATCH Assessment Scale score was obtained by nurses with 5 or more years of computer experience, and the mean PATCH Assessment Scale scores declined with decreasing duration of experience with computers. In addi- tion, an evaluation of correlation between PATCH Assess- ment Scale scores and duration of computer use showed higher PATCH Assessment Scale scores with increasing duration of computer use (r = j0.314, P = .000), indicating a positive effect of experience with computers on the at- titudes toward computers in healthcare (Table 2).

The effects of nurses’ place of use of computer variable on PATCH Assessment Scale points were examined with the secondary multiple comparison analysis (Tukey least significant difference), and statistically significant differ- ences between at work only and at home only (P = .000), at home only and both home and at work (P = .000) groups were determined. The highest PATCH Assessment Scale score was obtained by nurses using computers both at home and at work, followed by those using computers at work only and at home only (Table 2).

DISCUSSION

Nurses’ attitudes toward computers may potentially affect their utilization of nursing informatics.2–5,8–10,16–20,36,37

Attitudes of Turkish nurses toward computers and factors that affect their attitudes have been investigated in the present study.

The nurses in the present study displayed a positive at- titude toward use of computers in healthcare as assessed by the scores they obtained from the PATCH Assessment Scale. The categorization of nurses into groups based on their PATCH Assessment Scale scores distributed the majority of the nurses to groups 4 and 5. Nurses in group 4 feel comfortable using user-friendly computer applica- tions, are aware of the usefulness of computers in a va- riety of settings, and have a realistic view of current computer capabilities in healthcare. Nurses in group 5, on the other hand, are confident of their ability to use a variety of computer programs, see computers as benefi- cial in the development of society, and have an enthusi- astic view of the potential of computer use in healthcare.

Simpson and Kenrick9 expressed that nurses’ computer- related attitudes generally were positive. McLane30 re- ported that staff held generally positive perceptions about the use of computers in healthcare. Shoham and Gonen15

found that the attitudes of the nurses toward use of com- puters were positive, in both the general attitude index and in the specific attitude index for nursing. There are

FIGURE 1. Nurses’ attitudes toward computers in healthcare.

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more such findings reported in the literature. In accor- dance with the result of the present study, studies in the literature mostly indicate that nurses have a positive at- titude toward use of computers in healthcare.

When ANOVA was applied to data, significant differ- ences among the different age groups were observed. This finding was consistent with the findings of Brodt and Stronge.38 The findings of the present study contradict those of Sultana,32 who found in their studies that age was not influential in attitudes toward computer in healthcare. Similarly, Bongartz36 found that nurses’ at- titudes toward computers and their age were not sig- nificantly correlated. Simpson and Kenrick9 reported significant differences in relation to age, length of service as a trained nurse, job title, type of nursing unit, and length of service at the study hospital.

No findings regarding the effect of nurses’ marital sta- tus on their attitude toward use of computers in health- care were identified in the literature. In the present study, single nurses’ attitude toward computers in healthcare was noted to be significantly more positive when com- pared with married nurses’ attitudes. This finding was associated with single nurses’ opportunity to spare more time for using computers also outside their working en- vironment. As a matter of fact, the most positive at- titudes toward use of computers were noted for nurses who were able to use computers both at home and work in the present study.

Research on nursing attitudes has consistently dem- onstrated that education is related to attitudes about computers. Most studies agree that the more education a healthcare worker has, the more receptive they are to computers.7,29 Similarly, in the present study, more pos- itive attitudes were determined for nurses with higher level of nursing education.

An analysis of the effects of nursing experience in years on nurses’ attitudes toward computers in healthcare did not demonstrate a significant difference among groups with different years of experience in nursing. Similarly, subjects were grouped according to nursing experience as G5, 6 to 10, 11 to 15, 16 to 20, and 21 years and above in Sultana’s32 study, and there were no significant differ- ences between nursing experience years and attitude score toward computers. Unlike the findings of the present study, a significant difference was found in the study of Brodt and Stronge,38 who found that those who had worked longer in nursing had a more positive attitude to- ward computers. While some studies supported the idea that those employed in healthcare less than 1 year and more than 10 years had less positive attitudes than their midrange counterparts, some studies demonstrated that the longer the employment in healthcare, the more pos- itive is the attitude toward computers.7,37

Findings of the present study showed a significant dif- ference in the attitudes of nurses with different levels of

computer science education. Ball et al26 surveyed nurses as to their attitudes toward hospital computers and found that attitudes toward or reactions to computers can be changed with information. On the other hand, Merrow31 performed a study to describe the knowledge of and attitudes toward computers of graduate nursing students before and after an elective course of Computers in Nursing. Merrow31 found in this study that self-rated knowledge of computer terminology scores was signifi- cantly higher at the conclusion of the course, and stu- dents’ attitudes were positive prior to the course and did not change significantly during the course.

Nurses’ attitudes based on computer experience were also found to be significantly different in the present study. Bongartz36 reported that nurses who worked in hospitals without computers had higher mean scores, indicating a more favorable attitude toward computers; they had a greater concern that computers were a threat to their job security, anticipated that computers might provide more time for patient care, and thought that computers could speed the process of information handling, as compared with nurses who used computer systems. Shoham and Gonen15 found that nurses experienced with use of com- puters have more positive attitudes toward the use of com- puters than those of the inexperienced ones. The present study’s result is consistent with the findings of Bongartz36

and Shoham and Gonen,15 who found that nurses ex- posed to computers showed more positive attitudes to- ward computers. Contrary to the present study, Sultana32

found no significant differences in terms of attitudes to- ward computers among subjects categorized into different groups by their present computer experience, that is, less than 1, 1, 2, 3, 4, and 5 years.

Turkish nurses are required to familiarize themselves with computerized health information systems to adapt to changes being implemented in the health policies of Turkey. To facilitate this, further studies on the attitudes of nurses toward use of computers in healthcare and other factors that may be associated with negative at- titudes are indicated.

Limitations

The research was conducted in only two hospitals in Turkey. The results of the study can be generalized to the nurses in the hospitals where the research was conducted and are not representative of all nurses in Turkey. Ad- ditional studies should be carried out at other hospitals.

CONCLUSION

The nurses in the present study demonstrated a posi- tive attitude toward use of computers in healthcare. The findings of the present study suggest that age, marital

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status, nursing education, type of facility, job title, com- puter science education, computer experience, duration of computer use, and place of use of computer are im- portant parameters that substantially contribute to the development of positive attitudes toward computers.

Significance of the Study

Nurses’ attitudes toward computers play a significant role in successful implementation of information tech- nologies in healthcare. Today, health informatics has a widespread use and has become an undeniable fact of our age. Nurses, as members of healthcare teams, should use health informatics. If nurses do not use health in- formatics and computer technologies, health informatics may not include nursing informatics. Besides, nurses not utilizing health informatics will not be able to view the entries of other healthcare professionals, which may re- sult in communication issues within the team. Nurses’ positive attitudes toward computers in healthcare will ensure effective use of computers in this domain and will include nursing care in health informatics, which, in turn, will contribute to improving the quality of nursing care. Although nurses’ positive attitudes toward computers in healthcare alone will not guarantee successful implemen- tation, developing favorable attitudes in nurses toward this technology is an essential step toward successful im- plementation of nursing informatics. The present study is a pilot research looking into the attitudes of Turkish nurses toward computers. The results of the present study are believed to provide guidance in planning and imple- mentation of computer training programs for nurses in Turkey, in improving the participation of Turkish nurses in initiatives to develop hospital information systems and, most importantly, in developing computerized patient care planning.

Nurses’ positive attitude toward computers in health- care is a prerequisite for implementing computerized care planning. The findings of the present study are similar to many other studies from several countries worldwide. On the other hand, there should also be a continuous orga- nizational work in place to improve nurses’ attitudes that will result in adoption and proper use. Factors affecting nurses’ attitudes toward computers in healthcare should be taken into consideration in attempts to develop pos- itive attitude in nurses toward use of computers in nursing care. It is thought that the results of the present study will be helpful in determining these factors. Therefore, it is concluded that all nurses can benefit from the present study’s results.

In other words, although the findings of the present study cannot be directly applied to all nurses every- where, it can certainly set a focus for all nurses to con- sider the implementation of computers in healthcare.

Acknowledgments

The author thanks G[lay Y. Ka0ar and Esma Uygur for data collection and all the nurses who volunteered to participate in the study.

Discussion: Defining HIT and Assessing Attitudes Toward Its Implementation