Changes of the prescription of hormone therapy in menopausal women: An observational study in Taiwan

  • Weng-Foung Huang1Email author,

    Affiliated with

    • Yi-Wen Tsai2, 1,

      Affiliated with

      • Fei-Yuan Hsiao3 and

        Affiliated with

        • Wen-Chun Liu4

          Affiliated with

          BMC Public Health20077:56

          DOI: 10.1186/1471-2458-7-56

          Received: 21 February 2006

          Accepted: 17 April 2007

          Published: 17 April 2007

          Abstract

          Background

          To evaluate the impact of the 2002 Women's Health Initiative (WHI) study results on the prescription of menopausal hormone therapy (MHT) to treat menopause-related symptoms in Taiwan.

          Methods

          This retrospective study participant data collected from women interviewed in 2001 Taiwan's National Health Interview Survey (NHIS) and the National Health Insurance (NHI) outpatient claims for women being treated for menopause-related symptoms. We compared prescriptions made for MHI to women seeking outpatient treatment for menopause-related symptoms before and after the publication of the 2002 WHI to study its effect of prescription behavior in Taiwan. There was one dichotomous outcome variable, which was whether MHT was prescribed or not in an outpatient visit to treat menopause-related symptoms.

          Results

          Our study included 504 women 45 years old or above whose outpatient visits for menopause-related symptoms were covered by National Health Insurance in 2002. In total, these 504 women made 2549 outpatient visits to be treated for these symptoms. The proportion of outpatient visits in which MHT was prescribed dropped from 83.0% (n = 1,155) before WHI to 73.0% (n = 844) after WHI. We found a decrease in likelihood that women would be prescribed MHT for menopause-related symptoms after the release of the WHI report (OR = 0.36, 95%CI = 0.25 to 0.52, p < 0.05). Gynecologists and obstetricians are more likely to prescribe MHT than physicians with other medical specialties (5.34; 95%CI = 3.45 to 8.26, p < 0.05). Women with college level educations or higher became less likely to be prescribed MHT (Model 2; OR 0.30; 95% CI 0.11–0.83), and academic medical centers became less likely to prescribe MHT than other medical care institutions (Model 3; OR 0.15; 95% CI 0.34–0.63).

          Conclusion

          The WHI report caused a substantial decline in the use of MHT to treat menopause-related symptoms in Taiwan. It was found to exert most of its influence in patients with higher educations, physicians with specialties other than gynecologists and obstetricians, and academic medical centers.

          Background

          Menopausal hormone therapy (MHT), estrogen with or without progestin, has been commonly used to treat symptoms of menopause and prevent chronic conditions such as cardiovascular disease and osteoporosis since the late 1960s [1]. Evidence on the potential risks and benefits of combined estrogen/progestin has slowly accumulated and has suggested that the combination of the two acts differently than estrogen alone [24]. Evidence from secondary prevention trials and observational studies has also shown that using combined estrogen/progestin therapy comes with an increased risk of coronary heart disease [5, 6].

          In 2002, the Women's Health Initiative (WHI) report [7] demonstrated that the risks outweighed the benefits for women undergoing continuous estrogen and progestin treatment [5]. The WHI report findings prompted the U.S. Food and Drug Administration to require new warning labels be placed on all estrogen products [8], and prompted the U.S. Preventive Services Task Force to recommend that estrogen and progestin not be used routinely in the prevention of chronic post-menopausal conditions [9]. Although WHI results may not apply to other types of estrogen and progesterone therapies, different dosages, and various methods of administration, the results were, nevertheless, significant enough to lead to a substantial decline in the use of MHT by many postmenopausal women [1017].

          Consequently, the WHI report affected drug approval policy. The FDA (U.S.) now only approves estrogen for the relief of menopause symptoms alone regardless of formulation, dosage, or route of administration. Furthermore, it has been recommended that only women at a significant risk of osteoporosis consider hormone therapy, at recommended dosage decreased from 0.625 mg conjugated estrogens to 0.3 mg [36]. Because the impact of the WHI report may demonstrate that what some studies have claimed- the dissemination and availability of health care information influence consumer perception and demand for medical care [10, 1820], we believe that a closer examination of the effect of WHI report on the use of MHT treatment might lead to a better understanding of the role of "information" in the demand and supply of medical services.

          Certain consumer characteristics including age, educational level, working status, and marital status, influence whether or not a woman seeks and accepts MHT [1, 15, 2124]. Also, possession of information or knowledge, largely obtained through medical and social contacts, has a great influence on the acceptance of MHT [[15, 23, 25], and [26]]. Furthermore, the opinion of a woman's health care provider has also been found to strongly influence her decision to undergo MHT [27].

          Which medical interventions health care providers decide to use depend on their access to technical information, recommended procedures and regimen, and reported "uncertainties" about the effectiveness of the intervention [28]. Incomplete information, as being one of the main reasons, is often cited that physicians vary in how they treat a particular medical condition and in their patterns of practice [29]. Preference of medical intervention can also depend on medical specialty of the physician. Women treated by gynecologists have been reported to be 2.6 times more likely to receive MHT than women being treated by family physicians [30], which is understandable in light of the finding that gynecologists have a more favorable attitude toward MHT as a preventive measure than other physicians [3133].

          Forty to 60-year-old women in Taipei, Taiwan increased their use of MHT from 8.8% to 19% between 1991 and 1997 [34]. Most of these women were encouraged to seek this therapy by their social contacts, medical professionals and the media. The government even had a television advertisement promoting MHT in 1999. However, four months after the release of WHI report, the government formed an ad hoc committee that later announced new guidelines for the use of MHT, though the television promotion of MHT was withdrawn much earlier. [35].

          With regard to WHI report's impact over physician and patients, it is not clear whether it affected their willingness to prescribe or use MHT in Taiwan. Using the results of a national health interview survey administered between August 2001 and January 2002 and linking them with the National Health Insurance (NHI) outpatient claims for women with menopausal conditions, we examined the changes of prescription of MHT to treat menopausal outpatients in Taiwan before and after the publication of WHI report as well as to what extent certain patient or health care provider characteristics influenced the decision to use MHT.

          Methods

          Data source

          Data was drawn from two sources: the 2001 National Health Interview Survey (NHIS) and the NHI outpatient records of interviewees who consented to the linking of their personal information from the two sources. The data from the 2001 NHIS was collected between August 2001 and January 2002. The survey, using a stratified multistage sampling design with the probability of selection proportional to population size, included a representative sample of Taiwan's population of 23 million people and an over sampling of residents in the mountain regions and Taiwan's various offshore islands. The primary sample units, segmented based on their level urbanization levels defined by their socioeconomic and demographic characteristics, were 368 townships throughout Taiwan and outlying islands, 12 districts in the Taipei Municipality, and 11 districts in the Kaohsiung Municipality. All family members of each sampled household were included in our sample. NHI data were linked with NHIS data by personal identification number only if the respondents in the survey signed the informed consent.

          The survey included 23,473 individuals (5798 households), representing Taiwan's general population. From this pool, we selected 3439 women 45 years old or above. After excluding 564 women who did not consent to the linkage of their survey data with their NHI data (21 with missing data), we were left with 2875 participants. Those who refused to participate were more likely to be older (aged 65 years or above, p < 0.0005), lack formal education (p < 0.0005), be unmarried (p < 0.05), be unemployed (p < 0.0005), or lack personal income (p < 0.0005) (Table 1).
          Table 1

          Characteristics of females aged 45 years or above, with and without informed consent.

           

          Totala (n = 3439)

          No consent (n = 543)

          Consent (n = 2875)

          P-valueb

           

          N

          %

          n

          %

          n

          %

           

          Demographic factors

                 

          Age

                

          <0.0001

             45–55

          1,500

          43.6

          185

          34.1

          1,305

          45.4

           

             55–65

          909

          26.4

          153

          28.2

          751

          26.1

           

             65+

          1,030

          30.0

          205

          37.8

          819

          28.5

           

          Education

                

          <0.0001

             None

          997

          29.0

          223

          41.1

          767

          26.7

           

             Elementary school or lower

          1,446

          42.1

          201

          37.0

          1,239

          43.1

           

             Junior high school

          333

          9.7

          40

          7.4

          291

          10.1

           

             Senior high school

          418

          12.2

          57

          10.5

          358

          12.5

           

             Undergraduate or graduate

          243

          7.1

          21

          3.9

          219

          7.6

           

             Missing

          2

          0.1

          1

          0.2

          1

          0.0

           

          Marital status

                

          0.0138

             Unmarried

          951

          27.7

          174

          32.0

          773

          26.9

           

             Married

          2,488

          72.4

          369

          68.00

          2,102

          73.1

           

          Economic factors

                 

          Employment status

                

          0.0001

             Employed

          1,046

          30.4

          117

          21.6

          919

          31.9

           

             Unemployed

          2,389

          69.5

          424

          78.1

          1,956

          68.0

           

             Missing

          4

          0.1

          2

          0.4

          0

          0

           

          Personal income (NT $)

                

          0.0005

             None

          1,448

          42.1

          270

          49.7

          1,173

          40.8

           

             <4.999

          494

          14.4

          83

          15.3

          409

          14.2

           

             5,000~9,999

          269

          7.8

          34

          6.3

          234

          8.1

           

             10,000~14,999

          269

          7.8

          42

          7.7

          223

          7.8

           

             15,000~19,999

          261

          7.6

          33

          6.1

          227

          7.9

           

             20,000~39,999

          418

          12.2

          46

          8.5

          367

          12.8

           

             >= 40,000

          243

          7.1

          27

          5.0

          215

          7.5

           

             Missing

          37

          1.1

          8

          1.50

          27

          1.0

           

          Health Status

                

          0.1672

          Illness in the past six months

                 

             No

          757

          22.0

          107

          19.7

          643

          22.4

           

             Yes

          2,680

          78.9

          436

          80.3

          2,230

          77.6

           

             Missing

          2

          0.1

          0

          0

          2

          0.1

           

          a21 missing without consent choice; P-valueb: chi-square test

          We also reviewed the participant's January 1, 2002 to December 31, 2002 NHI outpatient claims. Out of the 2875 female participants, 504 had NHI records indicating they had sought treatment for menopause related problems during the study period starting six months before and ending six months after the WHI report was published.

          Measures

          In this study, the dependent variable was whether or not MHT was prescribed during outpatient visits for menopause-related symptoms. A menopause-related visit was defined if the patient was diagnosed as having a menopausal condition represented by one of the seven ICD9CM codes: 627.0 menopausal menorrhagia, 627.1 postmenopausal bleeding, 627.2 menopausal or female climacteric states, 627.3 postmenopausal atrophic vaginitis, 627.4 states associated with artificial menopause, 627.8 other specified menopausal & postmenopausal disorders, or 627.9 unspecified menopausal & postmenopausal disorder. We created a dummy variable to indicate whether or not MHT was prescribed: 1, if estrogen was prescribed; zero, if not.

          Independent variables included the effect of WHI report, variables related to outpatient visits for menopause and variables of patient demographics. A dummy variable was created to indicate whether the WHI report had been released. A value of 1 was assigned if an outpatient visit occurred on or after July, 2002 and a value of 0 if a visit occurred during the first half of 2002. Variables related to outpatient visits for menopause, including the categories of health care institution and physician specialty, were mainly extracted from NHI outpatient records. Health care institutions were classified into four accreditation levels: academic medical centers, metropolitan hospitals, local community hospitals, and physician clinics. A dummy variable was assigned to physician specialty, 1 if the patient was treated by an obstetrician or a gynecologist, and 0 if treated by a physician of any other medical specialty. Patient demographic data, including age, marital status, employment status, and monthly income, were obtained from the 2001 NHIS. Patients were categorized into the following three age groups: 45–54, 55–64, 65 and above. Dummy variables were also created for marital status, employment status: 1 indicating yes, and zero indicating no. Personal monthly income was divided into five categories: no income, less than NT $5000, $5000 – 19999, $20000 – 39999 and NT $40,000 or above.

          Two dummy health status variables were also created. The first dummy health status variable, which represented whether the respondent experienced illnesses during the six-month period leading up to the interview, was extracted from the 2001 NHIS. A value of 1 was assigned if any kind of illness had been experienced, and a value of 0 if not. Another dummy health status variable, representing whether the patient had been diagnosed as having osteoporosis, was extracted from the NHI outpatient record. A value of 1 was assigned if the patient had been diagnosed or treated for osteoporosis or osteoporosis-related condition (ICD9CM = 733.00 osteoporosis, unspecified, 733.01 senile osteoporosis, 733.02 Idiopathic osteoporosis, 733.03 disuse osteoporosis, 733.09 other osteoporosis), and a value of 0 if not.

          Statistical analysis

          Our unit of analysis was 2,549 outpatient visits for menopause-related symptoms of 504 study participants. Our reference group included women visiting outpatient visits for menopause-related symptoms before the WHI report. Logistic regressions were used to analyze the effect of the WHI report and women's characteristics such as age, educational level, marital status, employment status, personal monthly income, illness during the previous six months and osteoporosis on the likelihood that MHT was prescribed in the outpatient visit for menopause-related symptoms. To reduce the effect of repeated measurements, we estimated logistic regressions using random-effect model. Data management and logistic regression model used in our study was done using SAS Version 8.0 (Chicago, Illinois).

          In addition, we introduced interaction terms of WHI with these two variables in another two logistic regressions: one with WHI interacting with medical institution characteristics, and another one with WHI interacting with women's educational levels. The interaction models were used to explore the association of the period (before and after the release of WHI report) and the prescription of MHT in different levels of education and accreditation levels of medical facility. A linear function of the coefficient was estimated and tested in these models with the interaction terms. Other covariates were also included in these models. However, in order to simplify interpretation, we showed the effect of publication of the WHI on the four types of hospitals instead of the interaction terms. Also, we showed the effect of publication of the WHI on the five levels education instead of the interaction terms.

          Results

          The NHI records of 504 participants indicated that they had sought treatment for menopause related problems during the study period starting six months before and ending six months after the WHI report was published (Table 2). Of these 504 women, 28.6% (n = 144) had NHI outpatient records for menopause only during the six-month period leading up the release of WHI report, 51.2% (n = 258) before and after, and 20.2% (n = 102) during the 6-month period following the WHI period only (Table 2). Of the 402 women who had outpatient visits for menopause related problems both before the WHI report, 361 (89.8%) of them had at least one outpatient record with MHT prescription, 288 (80%) of 360 women, who had NHI outpatient visits for menopause six months after the WHI report, had at least one outpatient record with a MHT prescription.
          Table 2

          504 females aged 45 years or above with outpatient visits for menopause

           

          Number of individuals having outpatient visits for menopause (N = 504)

           

          Total (N = 504)

          Before WHI (N = 402)

          After WHI (N = 360)

           

          N

          %

          N

          %

          N

          %

          Demographic factors

                

          Age

                

             45–55

          292

          57.9

          232

          57.7

          214

          59.4

             55–65

          142

          28.2

          111

          27.6

          103

          28.6

             65+

          70

          13.9

          59

          14.7

          43

          11.9

          Education

                

             None

          70

          13.9

          53

          13.2

          48

          13.3

             Elementary school or lower

          245

          48.6

          194

          48.3

          170

          47.2

             Junior high school

          63

          12.5

          56

          13.9

          48

          13.3

             Senior high school

          83

          16.5

          63

          15.7

          61

          16.9

             Undergraduate or graduate

          43

          8.5

          36

          9.0

          33

          9.2

             Missing

          0

               

          Marital status

                

             Unmarried

          92

          18.3

          76

          18.9

          60

          16.7

             Married

          412

          81.8

          326

          81.1

          300

          83.3

          Economic factors

                

          Employment status

                

             Employed

          169

          33.5

          133

          33.1

          120

          33.3

             Unemployed

          335

          66.5

          269

          66.9

          240

          66.7

          Personal income (NT $)

                

             None

          197

          39.1

          157

          39.1

          139

          38.6

             <4,999

          56

          11.1

          44

          11.0

          38

          10.6

             5,000~19,999

          104

          20.6

          86

          21.4

          79

          21.9

             20,000~39,999

          87

          17.3

          64

          15.9

          64

          17.8

             >= 40,000

          55

          10.9

          47

          11.7

          36

          10.0

             Missing

          5

          1.0

          4

          1.0

          4

          1.1

          Health Status

                

             Illness in the past six months

                

          No

          76

          15.1

          65

          16.2

          48

          13.3

          Yes

          428

          84.9

          337

          83.8

          312

          86.7

             Osteoporosis

                

          No

          353

          70.0

          294

          73.1

          274

          76.1

          Yes

          151

          30.0

          108

          26.9

          314

          23.9

          #Total outpatient visits for

          2549

           

          1392

           

          1157

           

          menopause-related symptoms

                

             Proportion of visits prescribing

          1999

          78.4

          1155

          83.0

          844

          73.0

             MHT

                

             Proportion of visits prescribing

                

             MHT (stratified by type of institution)

                

          Academic medical center

          475

          58.7

          278

          65.2

          196

          49.0

          Metropolitan hospital

          627

          82.9

          342

          84.8

          285

          80.7

          Local community hospital

          492

          81.1

          244

          87.7

          248

          74.6

          Physician clinic

          955

          83.9

          527

          89.0

          428

          77.6

             Proportion of visits served by obstetricians or gynecologists

          1295

          50.8

          712

          51.2

          583

          50.4

          #: Of these 504 women, 28.6% (n = 144) had NHI outpatient records for menopause only during the six-month period leading up the release of WHI report, 51.2% (n = 258) before and after, and 20.2% (n = 102) during the 6-month period following the WHI period only

          Most of the 504 study participants, who had outpatient visits for menopause during our study period, were aged 45 – 55 years old (57.9%), had elementary school educations or lower (48.6%), were married (81.8%), were not employed (66.5%) or had no personal income (39.1%). Of these 504 females, most (84.9%) had experienced an illness during the six-month period leading up to the interview, and most (70.0%) had no NHI outpatient records for osteoporosis. In total, these 504 women made 2549 outpatient visits for menopause-related symptoms, 50.8% were being treated by either an obstetrician or gynecologist and 79.3% had been prescribed MHT. The proportion of outpatient visits in which MHT was prescribed dropped from 83.0% (n = 1392) before WHI to 73.0% (n = 1157) after WHI.

          Table 3 shows the results of logistic regressions of random effect. Model 1 included the dummy variable of WHI effect without interaction terms; Model 2 included the interaction of WHI and women education; and Model 3 included the interaction of WHI and the accreditation level of medical institution. Overall, based on Model 1, the likelihood that MHT would be prescribed during an outpatient visit decreased after the WHI report (OR 0.36, 95%CI 0.25 to 0.52). Hospitals not classified as academic medical centers were more likely to prescribe MHT than academic medical centers (OR from 14.87 for metropolitan hospital to 26.42 for physician clinic). Obstetricians or gynecologists were more likely to prescribe MHT than physicians of other specialties (OR 5.34, 95% CI 3.45–8.26). Marital status, employment status, personal income, the diagnosis of osteoporosis, or illness was not found to be associated with the prescription of MHT the six months leading up to the interview. The impact of the WHI report on the prescription of HRT analyzed by level of education and the accreditation level of medical care institution was estimated in the two interaction models, Model 2 and Model 3. Women with college level educations or higher were less likely to be prescribed MHT after the WHI report than before (Model 2; OR 0.30; 95% CI 0.11–0.83). Academic medical centers were less likely to prescribe MHT than other medical care institutions after the release of WHI report (Model 3; OR 0.15; 95% CI 0.34–0.63).
          Table 3

          Logistic regressions of random effect for MHT treatment in menopause outpatient visits

           

          Outpatient visits (% prescribing MHT)

          Model 1 – no interaction

          Model 2 – interaction of WHI and woman education

          Model 3 – interaction of WHI and hospital level

           

          n

          %a

          Odds Ratio (95% CI)

          Odds Ratio (95% CI)

          Odds Ratio (95% CI)

          WHI report announcement

               

             After

          1157

          72.95

          0.36 (0.25–0.52)

            

             Before (reference group)

          1392

          82.97

             

          Medical care institution

               

             Metropolitan hospital

          627

          82.93

          14.87 (7.28–30.37)

          11.98 (5.82–24.68)

          7.02 (3.23–15.27)

             Local community hospital

          492

          81.10

          17.00 (7.92–36.49)

          12.09 (5.81–25.14)

          12.13 (4.84–30.41)

             Physician clinic

          955

          83.87

          26.42 (13.34–52.32)

          16.52 (8.43–32.39)

          18.22 (8.12–40.89)

             Ref: Academic medical center

          475

          58.74

             

          WHI on Medical care institution b

               

             WHI effect on metropolitan hospital

              

          6.25 (2.08–18.72)

             WHI effect on local community hospital

              

          1.69 (0.52–5.49)

             WHI effect on physician clinic

              

          2.13 (0.76–5.98)

             WHI effect on academic medical center

              

          0.15 (0.34–0.63)

          Physician specialty

               

             Obstetrician or gynecologist

          1295

          85.10

          5.34 (3.45–8.26)

          6.26 (3.92–10.00)

          5.56 (3.60–8.58)

             Ref: other specialty

          1254

          71.53

             

          Demographic factors

               

              Age

            

          0.73 (0.41–1.32)

          0.72 (0.37–1.40)

          0.66 (0.36–1.20)

          55–65

          719

          75.52

             

          65+

          348

          83.62

          2.33 (0.81–6.69)

          2.43 (0.86–6.92)

          4.38 (1.41–13.54)

          Ref: 45–55+

          1482

          78.61

             

              Education

               

          Senior high school

          373

          75.87

          0.53 (0.21–1.35)

          0.33 (0.09–1.21)

          2.46 (1.02–5.93)

          Junior high school

          446

          78.03

          0.54 (0.19–1.55)

          0.38 (0.11–1.31)

          3.11 (1.19–8.10)

          Elementary school or lower

          1180

          80.76

          0.95 (0.41–2.19)

          0.62 (0.22–1.80)

          4.50 (1.83–11.04)

          No

          322

          79.19

          1.18 (0.43–3.20)

          1.10 (0.31–3.84)

          4.90 (1.75–13.72)

          Ref: Undergraduate or graduate

          228

          70.18

             

          WHI effect on woman education c

               

             WHI effect on women with senior high school

             

          1.64 (0.43–6.22)

           

             WHI effect on women with junior high school

             

          1.10 (0.29–4.16)

           

             WHI effect on women with elementary school or lower

             

          1.28 (0.40–4.08)

           

             WHI effect on women with no education

             

          0.85 (0.20–3.53)

           

             WHI effect on women with undergraduate or graduate

             

          0.30 (0.11–0.83)

           

          Marital status

               

             Married

          2141

          77.11

          1.03 (0.51–2.10)

          0.64 (0.34–1.22)

          1.18 (0.62–2.23)

             Ref: Unmarried

          408

          85.29

             

          Economic factors

               

              Employment status

               

          Employed

          841

          79.31

          0.94 (0.45–1.94)

          0.37 (0.17–0.76)*

          0.63 (0.30–1.30)

          Ref: Unemployed

          1708

          77.99

             

          Personal income (NT $)

               

          <4,999

          293

          78.16

          0.73 (0.31–1.72)

          0.66 (0.28–1.59)

          0.76 (0.31–1.89)

          5,000~19,999

          562

          79.89

          0.72 (0.30–1.71)

          0.36 (0.28–1.59)

          0.74 (0.32–1.73)

          20,000~39,999

          431

          79.35

          1.20 (0.57–2.55)

          0.39 (0.18–0.85)

          1.14 (0.53–2.45)

          >= 40,000

          259

          71.43

          0.24 (0.09–0.59)

          0.33 (0.13–0.85)

          0.86 (0.31–2.39)

          Ref: None

          993

          79.15

             

          Health Status

               

             Illness in the past six months

               

          Yes

          2188

          78.11

          1.08 (0.49–2.39)

          2.18 (1.07–4.47)

          0.81 (0.38–1.73)

          Ref: No

          361

          80.33

             

             Osteoporosis

               

          Yes

          741

          80.43

          1.63 (0.91–2.89)

          1.48 (0.84–2.59)

          1.37 (0.80–2.33)

          Ref: No

          1808

          77.60

             

          %a: Percentages in the second column of table 3 were the proportion of outpatient visits with a prescription of MHT in each category. For example, among the 1,157 outpatient visits after the publication of WHI report, there're 72.95% (844 visits) with a prescription of MHT.

          WHI and Medical care institutionb: A linear function of the coefficient was estimated and tested in Model 3 with the interaction terms. In order to simplify interpretation, we showed the effect of publication of the WHI on the four types of hospital instead of the interaction terms.

          WHI effect and woman educationc: A linear function of the coefficient was estimated and tested in Model 2 with the interaction terms. In order to simplify interpretation, we showed the effect of publication of the WHI on the five categories of level of women education instead of the interaction terms.

          Discussion

          MHT was once widely thought to be an effective treatment for menopause-related symptoms. In year 2002, the WHI trial of estrogen plus progestin in postmenopausal women found that overall health risks of this therapy outweighed the benefits for these women [7]. The release of that report provides us the opportunity to study to what extent publicizing new scientific evidence changes public acceptance of certain modes of therapy and health care provider's choice of therapeutic regimens, in this case menopausal hormone therapy.

          In this study, as other studies have indicated, the WHI report led to a significant decline on the use of MHT for menopausal difficulties [1216]. Like other studies [2932], we found that gynecologists were more likely to prescribe MHT than physicians with other medical specialties, but we also found that the decision whether MHT would be prescribed was not totally decided by physicians alone, but had also to do with who was seeking therapy. Women with college level educations or higher were less likely to be prescribed MHT than the women with high-school level educations or lower and health care providers were found to vary considerably in whether MHT was prescribed.

          One of the limitations of this study is its focus on the MHT for the treatment of menopausal-related symptoms. We did not take into account that some women might stop seeking western medicine treatment at outpatient visits for menopausal-related symptoms and start searching for other non-pharmacological treatments (e.g. herbal products or health supplements). Since our data source was obtained from the NHI outpatient visit records, no information on over-the counter herbal products or nutritional supplements for menopausal symptoms was included. Thus, our findings may underestimate women's reaction to the WHI report. Nevertheless, our sample was drawn from a nationwide interview survey and linked to NHI claim data, allowing us to obtain real utilization information and identify the co-existing condition of osteoporosis. Data collected this way is superior to self-reported information, which can be subject to recall bias. 98.3% of the people we surveyed were insured under the NHI program, with almost all of their medical costs covered through this program. This lends credence to our findings, in that financial barriers to MHT were non-existent.

          Another limitation of our study is potential selection bias. The sample base for this study was drawn from the women who were interviewed in the 2001 National Health Interview Survey and aged 45 years or above. Only those who signed the inform consent for linking NHI claim data would be included in this study. Those who did not sign the inform consent were more likely to be older, less educated, unmarried, unemployed, have lower personal income and be healthier. Our logistic regression predicted that women who were unemployed and less educated women were more likely to be prescribed MHT. Thus, we would suspect that those women who were not included in this paper were those who were more likely to be prescribed MHT. After the WHI report, women with undergraduate or graduate (higher education) were less likely to receive MHT OR = 0.30 (0.11–0.83). Again, we suspect that the effect of WHI on reducing prescription of MHT may be somewhat over-estimated, because lower-educated women were more likely to be excluded and less responsive to WHI report than higher-educated women.

          Finally, this study was undertaken only six months following publication of the WHI report. In order to keep track of stable changes in the patterns of practice patterns that take place after publication of such an article, longer follow-up periods may be necessary, especially of subgroups of women such as women with previous hysterectomies, those older than 65, and women living in areas of high social deprivation. Future research should consider factors leading to the effective dissemination of new clinical trial findings for women.

          Conclusion

          The WHI report brought about a substantial decline in the prescription of MHT to treat menopause-related symptoms in Taiwan. The decision whether to prescribe MHT for menopause-related symptoms was not purely dominated by the physician. Women with college level educations or higher were less likely to be prescribed MHT than the women with high-school level education or lower after the release of WHI report, and academic medical centers were less likely and metropolitan hospitals more likely to prescribe MHT than medical providers with different accreditations after the release of WHI report.

          Declarations

          Acknowledgements

          This study received no funding from any external source.

          We thank the Bureau of National health Insurance (BNHI) and National health Research Institutes (NHRI) for making available the databases of this study. The content of this article, however, in no way represents any official position of the BNHI or NHRI. The authors bear all responsibilities for the results and the interpretation of the results. We would also like to thank Mr. James Steed for his efforts in editing this manuscript for better readability.

          Authors’ Affiliations

          (1)
          Institutes of Health and Welfare Policy, National Yang-Ming University
          (2)
          Division of Health Policy Research, National Health Research Institutes
          (3)
          Division of Health and Welfare Policy Management, Institutes of Public Health, National Yang-Ming University
          (4)
          Taiwan Joint Commission on Hospital Accreditation

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          Copyright

          © Huang et al. 2007

          This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.