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Research Methods in Health Chapter 14. Selected Research Papers - Purpose, Framework, Results - Young Moon Chae, Ph.D. Graduate School of Public Health Yonsei University, Korea [email protected]

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Page 1: Research method ch14 selected research papers

Research Methods in Health

Chapter 14. Selected Research Papers

- Purpose, Framework, Results -

Young Moon Chae, Ph.D.

Graduate School of Public Health

Yonsei University, Korea

[email protected]

Page 2: Research method ch14 selected research papers

Table of Contents

• Online psychological service for health professional --------------------------- 3

• Evaluation of CDSS for Drug Prescription Based on Success Measures --12

• Implementing Health Management Information Systems: Measuring

Success in Korea’s Health Centers ------------------------------------------------- 20

• Risk Factors for Cervical Cancer among Korean Women from the Korean

Cancer Prevention Study -------------------------------------------------------------- 30

• Evaluation of Mobile Phone-based Diet Game for Weight Control ---------- 51

• Management Issues in Health Information Systems ---------------------------- 58

• Competency-based Learning for Distance Education in System Analysis

and Design ---------------------------------------------- ---------------------------------- 62

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Burnout, job stress and job satisfaction: A study

among doctors and nurses of Ulaanbaatar,

Mongolia

3

Ariunsanaa B, Sugarmaa M, Khuderchuluun N, Saranchuluun O, Chae YM

Page 4: Research method ch14 selected research papers

Introduction

• Background

– Mongolia is considered to be one of the countries with a sufficient supply of health professionals in terms of proportion to the size of the population, especially in urban areas.

– However, the problem of dense population in urban areas and internal migration has deteriorated the quality, accessibility, and load of healthcare services.

– In this situation, it is claimed that the stress and depression driven by over workload of health professionals has somewhat negatively influenced their attitude towards work and job satisfaction.

– Other factors, such as the number of the patients, duration of medical checkups, procedures, consultations, and other additional functions, like serving patients with special needs, can lead to significant job stress.

• Significance

– There was no study dealing with job stress and job satisfaction for health professionals in Mongolia

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Research Objectives

• General– To study job stress, burnout and some depressive

symptoms of medical doctors and nurses of tertiary health care settings of Ulaanbaatar

• Specific Objectives – To determine the prevalence of job stress and burnout

among medical doctors and nurses,

– To determine the prevalence of job dissatisfaction and some depressive symptoms of medical doctors and nurses

– To analyze the association between job stress, burnout and depressive symptoms

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Methods

• Study design

– Study design is cross sectional and pre-experimental as it is

social science research.

• Sampling

– In this study 400 of medical doctors and nurses will be included.

– Stratified sampling by using hospital size as strata

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Research Framework

Burn out

Job stress

Job satisfaction

Age

Sex

Education

Job characteristics

Multiple regression

Chi square or t-test

Correlation or

Chi square test

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Analytic Methods

• All variables are ordinal scale (5 points)

• Simple regression vs correlation (direction)

• Correlation vs Chi-square test

• T-test vs Chi-square test

• T-test vs paired t-test

• Parametric test vs non-parametric test

• Multiple regression vs logistic regression

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Relation between burnout and job

characteristics

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Comparison of job characteristics between

doctors and nurses

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Regression on burnout

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Evaluation of CDSS for Drug

Prescription Based on Success Measures

Jinwoo Park , Young Moon Chae, Young Taek Lee, Koungwon Cho,

Junghee Kim, Byung Hwa Lee

(Published in Journal of Korean Society of Medical Informatics.

2009; 15(3): 293-301)

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Introduction

• Background

– Medication errors are increasing

– The Clinical Decision Support System (CDSS) for drug

prescriptions was developed by integrating the computerized

physician order entry (CPOE) system to support doctors and

pharmacists in making correct decisions on prescribing drugs

in line with the prescription guidelines by the Health Insurance

Review Agency (HIRA)

• Significance

– This is the first attempt to evaluate effectiveness of CDSS for

drug prescription in Korea

– Use of DeLone and McFarlan model for performance evaluation

of CDSS

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Objectives

• The purpose of this paper is to analyze the performance

of the CDSS with respect to system quality, information

quality, and user satisfaction to reduce prescription error

• Specific objectives are:

– To identify the factors influencing CDSS performance

– To analyze association between quality measures and user

satisfaction

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Subjects

• A questionnaire was designed by structuring primary evaluation areas first and then more detailed sub-areas in each primary area.

• The survey was conducted by mail or by visit for 6 weeks from April 20 to May 29, 2009, for the pharmacists from 38 hospitals using the CDSS.

• Hospitals were selected by stratified random sampling

• Research design is cross-sectional design

• A total of 84 questionnaires were returned from 22 users (response rate of 58%). Of them, 77 were used for the analysis, excluding 7 that were found unusable for statistical analysis.

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Model and Statistical Analysis

• Based on the Delone and McLean framework, we evaluated the success of the CDSS by using two quality measures (system quality and information quality) as independent variables; and three performance measures (user satisfaction and organizational impact) as dependent variables for the multiple regression analysis (Figure 1).

• Chi-square analysis with cross-tabulation was performed to analyze the specific associations among two quality measures and three measures of user satisfaction (information satisfaction, system satisfaction, and willingness to recommend to others).

• We also analyzed the associations between two quality measures and improvements in drug safety as a performance measure of organizational impact by using Chi-square

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Research Framework

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The effect of the information quality measures

on user Satisfaction

FactorsRegression

coefficient

Standard

errort-value P-value

Information accuracy 0.060 0.252 0.24 0.8116

Information timelines 0.502 0.285 1.76 0.0823

Information reliability 0.462 0.275 1.68 0.0975

Information up-to-datedness 0.252 0.265 0.95 0.3438

Decision supporting function 0.771 0.263 2.94 0.0045

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The association of quality measures and information

satisfaction

Description

Information satisfaction

No In-between Yes Total Chisq p-value

System Quality

Ease of system use

No 1(25.0) 3(75.0) 0( 0.0) 4( 5.2) 18.0 0.002

In-between 0( 0.0) 19(59.4) 13(40.6) 32(41.6)

Yes 1( 2.4) 12(29.3) 28(68.3) 41(53.2)

Resultsunderstanding

No 1(100.0)

0( 0.0) 0( 0.0) 1( 1.3) 58.7 <.001

In-between 1( 3.2) 23(74.2) 7(22.6) 31(40.3)

Yes 0( 0.0) 11(24.4) 34(75.6) 45(58.4)

Terminologyunderstanding

No 1(33.3) 0( 0.0) 2(66.7) 3( 3.9) 32.7 <.001

In-between 1( 2.6) 27(69.2) 11(28.2) 39(50.6)

Yes 0( 0.0) 7(20.0) 28(80.0) 35(45.5) 19

Page 20: Research method ch14 selected research papers

Implementing Health Management

Information Systems: Measuring

Success in Korea’s Health Centers

Young Moon Chae, Suck Il Kim, Byung Hwa Lee,

Sung Hae Choi, In Sook Kim

(Published in International Journal of Health Planning and Management,

1994; 9: 341-8)

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Introduction• Background

– Quality of health statistics produced at the district level is still very low so that health status of the district cannot be accurately determined.

– Management data needed for planning, organizing, and evaluating health programs are not readily available for district managers.

– Productivity and morale of most health workers are low because they suffer from heavy workloads of tedious paper works and simple tabulation.

– Health centers and health subcenters are not responding to the changing needs of primary health services, which has been changed from family planning or MCH to chronic degenerative diseases (e.g. hypertension, diabetes)

• Significances– HMIS can be regarded as management innovation within health center

to meet the unrelenting challenge of providing and assuring health services to the community.

– Relatively little research, however, has been done on measuring the processes of introducing a management innovation into a health center.

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Purposes

• To assess the extent to which a management innovation,

in this case a HMIS, is perceived as successful to health

center personnel

• Specifically,

– To examine the three key measures of successful implementation

of HMIS: productivity of health center staffs, adoption process, and

the satisfaction of visitors to the health center.

– To compare user satisfaction between computerized center and

not-computerized center

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Methods

• Research design – longitudinal design with control

– Three surveys were conducted to measure the changes in

productivity and adoption process (knowledge, persuasion,

decision, implementation, and confirmation) of health workers

over time during the period of 20 months.

– The effects of the Health Management Information System

(HMIS) on the quality of services to the visitors were also

measured 7 months after the 3rd survey by comparing the

quality of services between the study health center and the

similar health center as a control group

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Research Design

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Statistical Analysis

• The changes in three adoption variables (knowledge, persuasion,

and decision) were compared between the survey 1 and survey 2

(before and after the implementation of the HMIS) using Wilcoxson

signed-rank test.

• The changes in job processing time, which is a surrogate measure

for the productivity of health center staffs, between the three surveys

were compared using the Bonferroni method because there were

significant differences in variances among the three groups.

• Three satisfaction variables (waiting time, credibility, and

convenience) of visitors between the two health centers were

compared with Chi-square test, and average score of these

variables were compared with t-test (1 point for the dissatisfied and

3 point for the satisfied).

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Bonferroni method

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Wilcoxson signed-rank test

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Association between Smoking, Screening, and Death

Caused by Cervical Cancer in Korean Women

Odongua N, Chae YM, Kim MR, Yun JE, Jee SH

(Published in Yonsei Medical Journal, 2007; 48(2):

192-200)

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Introduction

Cervical Cancer: 2004

1. Worldwide

– 510.000 new cases

– 288.000 deaths

2. United States

– 10,520 new cases

– 3,900 deaths

3. Korea

– … new cases

– … deaths

Developed

countries

17.0%

Developing

countries

83.0%

Risk Factors:•Failure to obtain regular Pap smear test•HPV infection•Cigarette smoking•Sex at an early age•Multiple sexual partners•Late menarche•Early age at first delivery•High parity

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13.8-17.14.0-7.5 7.6-13.71.1-3.9 17.2-36.5

Source: IARC, Globocan 2002

Global Mortality from Cervical Cancer

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Proportion of Cancer Cases among

Korean Women (1999-2001)

stomach

16.4%

breast

13.7%

colorectal

10.4%

cervix

9.8%

lung

8.0%

liver

7.3%

thyroid

6.7%

gallbladder

3.5%

ovary

3.0%

pancreas

2.5%

others

18.7%

Source: National Cancer Center, Korea

Page 34: Research method ch14 selected research papers

Objectives

The purpose of this study is to explore and investigate the risk factors

for cervical cancer among Korean women from KCPS.

Specifically:

1. To estimate the age-adjusted standardized incidence and

mortality rates of cervical cancer among Korean women aged 30

years and older.

2. To investigate the relationship between cervical cancer and

reproductive factors.

3. To investigate the relationship between cervical cancer and

smoking and other behavioral factors.

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Methods

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Cohort Design for the Study Population

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Research Framework

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Results

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Number of cervical cancer cases

by age group (n=2,520)

Incidence

405

263

14598

34

0318

283

121

0

226

330

235

21

41

0

200

400

600

800

1000

30-39 40-49 50-59 60-69 ≥70

Age group

Nu

mb

er o

f ca

ses

Women with abnormal result

Women with normal result

Unscreened women

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Age-adjusted standard incidence rates

by age group

Incidence rate

13.612.6

10.6

7.9

1.3

13.612.2

9.07.4

1.10.0

9.07.6

4.5

0.80.0

31.1

18.1

13.6

2.5

0

10

20

30

40

30-39 40-49 50-59 60-69 ≥70

Age group

Ra

te p

er 1

00

,00

0

All women (overall rate 45.9)

Unscreened women (43.2)

Women with normal result (21.9)

Women with abnormal result (65.2)

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Number of cervical cancer deaths

by age group (n=209)

Mortality

1219 16 18 19

0

1224

12 9

0

11

22

27

8

0

20

40

60

80

30-39 40-49 50-59 60-69 ≥70

Age group

Nu

mb

er o

f d

eath

s

Women with abnormal result

Women with normal result

Unscreened women

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Age-adjusted standard mortality rates

by age group

Mortality rate

0.4

0.7

0.9

1.0

0.5

0.4

0.9

1.0

1.4

0.6

0.0

0.3

0.6

0.40.4

0.0

1.5

1.2

1.6

0.5

0

0.5

1

1.5

2

30-39 40-49 50-59 60-69 ≥70

Age group

Ra

te p

er 1

00

,00

0

All women (overall rate 3.4)

Unscreened women (4.2)

Women with normal result (1.8)

Women with abnormal result (4.7)

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General characteristics of study subjects

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General characteristics of study subjects (cont’d)

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Relative risks (RR) of cervical cancer incidence by reproductive

factors among all women (n=475,398)

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Relative risks (RR) of cervical cancer mortality by

reproductive factors among all women (n=475,398)

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Discussion

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Incidence and mortality rate of cervical

cancer among all women

Cervical cancer:– Incidence rate: 45.9 per 100,000.

• The highest incidence rate: women aged 30-39 years old

– Mortality rate: 3.4 per 100,000

• The highest mortality rate: women aged 50 or older

Pap smear test:

– Women who had never been screened by Pap smears:

• 1.7-fold high risk of incidence for cervical cancer

• 2-fold high risk of mortality for cervical cancer

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Discussion

• The Healthy People 2010 target for cervical cancer is a

reduction in mortality to 2.0 deaths per 100,000 women.

• Since 1998, the rate remains near 3.0 deaths per 100,000

women. The U.S. Preventive Services Task Force strongly

recommends screening for cervical cancer in women who

have been sexually active and have a cervix.

• Pap smear screening should be targeted for younger women.

As a result, we can also reduce the overall burden of cervical

cancer among Korean women.

• Future studies are needed.

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Discussion

• This large prospective cohort study of Korean women showed

that several reproductive factors including age at menarche,

age at first delivery, menopause status and long-term

estrogen exposure were independent risk factors for

development of cervical cancer.

• Death due to cervical cancer among Korean women was

associated with high level of fasting serum glucose (FSG)

(RR=1.73, 95%CI=1.03-2.92), late stage of hypertension

(RR=2.00, 95%CI=1.06-3.59) and smoking.

Page 51: Research method ch14 selected research papers

Evaluation of Mobile Phone-based

Diet Game for Weight Control

Wonbok Lee, Young Moon Chae, Sukil Kim,,

Seung Hee Ho, Inyoung Choi

(Published in Journal of Telemedicine and Telehealth,

2009; 16: 270-275)

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Introduction

• Background

– 3rd National Health and Nutrition Survey conducted in 2005 reported that 32% of Korean adults were obese, based on the same criteria. Obesity is related to a metabolic syndrome and therefore obese people are at a greater risk of developing cardiovascular disease

– web-based therapy management system with mobile phone access has been developed and distributed to obese patients to support weight management.

• Significance

– We developed the SmartDiet, a mobile phone-based weight control system that not only closely tracks an obese patient’s daily nutrition intake, but also has games that users can play to learn about weight control.

– The SmartDiet is different from the previous dieting applications in a sense that users could download and implement personalized dietary information onto their personal mobile phones

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Objectives

• This study evaluated the effectiveness of the mobile

phone application SmartDiet with respect to acquiring

dietary information, weight control, and user satisfaction.

• Specific objectives are:

– To describe demographic characteristics and lifestyle of study

population

– To analyze the effects of SmartDiet by comparing body

composition between case and control group

– To analyze user satisfaction

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Research Design

• Subjects– The effectiveness of the SmartDiet was evaluated

based on the pretest-posttest with control design.

– 19 subjects were assigned to the case or intervention group, and 17 subjects were assigned to the control group.

• Statistical Analysis– Differences in demographic characteristics and

lifestyle between the intervention group and the control group were analyzed by the Chi-square test.

– The changes in body composition before and after the intervention for both groups were compared by the paired t test.

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Paired t-test

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Management Issues in Health Information

Systems

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Kwak EA, Chae YM, Ho SH, Kim GK. Management issues in hospital

information systems.

(Published in Journal of Korea Society of Medical Informatics.

2007; 13 (1): 9-18)

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• Purpose

– This study was conducted to identify management issues in

hospital information systems

– Specifically,

• To identify management issues in 2007 and compare them

with 1999

• Classify management issues by using McFarlan’s framework

• Methods

– Sample survey of 50 managers from 28 hospital information

centers.

– Two rounds of interview surveys were conducted by using the

Delphi method.

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Changes in Management Issues

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Key IssuesRank 7-year

Change2007 1999

Top Management Support 1 1 0

Cooperation within IS Organization 2 4 +2

PACS 3 18 +15

Disaster Recovery 4 - NEW

Improving IS Strategic Planning 5 17 +12

Standardization 6 - NEW

Legalization of Electronic Medical Record (EMR) 7 6 -1

Improving Information Security & Control 8 3 -5

EMR 9 12 +3

Educating System Engineers 10 7 -3

Reference: Kwak EA, Chae YM, Ho SH, Kim GK. Management issues in hospital information

systems. Journal of Korea Society of Medical Informatics. 2007; 13 (1): 9-18

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Classification of Management Issues Based on

McFarlan’s Framework

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High

Present

Low

Key Operational Strategic

Educating System Engineers Top Management Support

EMRAligning the IS Organization within the

Enterprise

PACS Standardization

Disaster Recovery Improving IS Strategic Planning

Support High Potential

Improving Information Security & Control Integrated HIS

Making Effective Use of Data Resource IS/IT Strategy & Planning

Building Patient Information System Infrastructure for U-Health

Recruiting & Developing IS Human

Resource

Activation of Ubiquitous Application

System

Collaborative IT System Organization &

Hospital

Developing Laboratory Information

System (LIS)

Improving the Effectiveness of Software

Development

Low High

Future

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Competency-based Learning for Distance

Education in System Analysis and Design

Byung Hwa Lee, Young Moon Chae, Tomiko Hokama,

Seok Kim

(Published in Asia-Pacific Journal of Public Health.

2010; 22(3): 299-309)

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Purposes

• To assess how well SAD competencies could be taught

via a CBL-based e-learning course that we developed for

students registered at the ICUH.

• Specifically,

– To develop a CBL-based curriculum by linking various

competencies to the learning goals of SAD.

– To develop a CBL model for SAD based on the curriculum

– To measures the competency scores of students three times

(before, during, and after the class) by using a competency diary,

in order to assess the students’ progress.

– To identify the factors affecting learning effectiveness.

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Research Framework for CBL Course Evaluation

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Learning process

Case and

problem

Tutor’s role

Student’s role

Learning

effectiveness

Multiple regression

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