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Abstract Cervical Cancer Screening In Thailand: A Model-Based Economic Evaluation Naiyana Praditsitthikorn*,**

*Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, **Bureau of AIDS TB and STIs, Department of Disease Control, Ministry of Public Health

As cervical cancer is the second most common cancer in Thai women, it is important for policy makers to effectively implement the screening program. The aim of this study was to assess the incremen- tal cost-effectiveness of the current 5-yearly screening practice for all women aged 30-60 years, compared with the alternative options that differ in the screening interval and target age groups. The study adopted a Markov model conducted in 2007 under the Thai healthcare setting. All costs were estimated under societal perspective and converted to the year 2012 values using the Thai consumer price index. Utility score was calculated based on the Thai scoring algorithm. We found that screening cervical cancer in Thai

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women was cost-effective compared to no screening. The current practice showed a certain benefit of 40 percent reduction in incidence and mortality. The second most efficient strategy was a 3-yearly screening for women aged 30-60 years, with the incremental cost-effectiveness ratio -73,300 baht per quality-ad- justed life year gained and the expected prevention of 900 cervical cancer cases and 450 deaths per year.

Treatment cost was reduced to 1.2 billion baht per year. But more than 180 cytologists and pathologists are needed to cope with increasing demand. Strengthening the current program by increasing the number of women for screening to reach the targeted coverage rate of 80 percent is the most cost-effective and prag- matic option in Thailand.

Key words: cervical cancer, mass screening, Markov model, cost-utility

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≈¥§ß‰«â∑’Ë√âÕ¬≈– 3 ∑—Èßμâπ∑ÿπ·≈–º≈≈—æ∏å ÿ¢¿“æ μ“¡

·π«∑“ß§Ÿà¡◊Õ°“√ª√–‡¡‘π‡∑§‚π‚≈¬’¥â“π ÿ¢¿“æ ”À√—∫ª√–‡∑»

‰∑¬(10) °√Õ∫‡«≈“§◊Õμ≈Õ¥™’æ √Õ∫√–¬–‡«≈“¢Õß°“√

‡ª≈’ˬπ·ª≈ß ∂“π– ÿ¢¿“æ§◊Õ 1 ªï

À≈—ß°“√«‘‡§√“–Àåμâπ∑ÿπÕ√√∂ª√–‚¬™πå·≈–∑√“∫

¡“μ√°“√∑’˧ÿâ¡§à“ ®÷ß«‘‡§√“–Àå§«“¡‡ªìπ‰ª‰¥â„π∑“ߪؑ∫—μ‘

‚¥¬¡ÿà߇πâπÕ—μ√“°”≈—ß§π ‡æ◊ËÕ√Õß√—∫°“√¢¬“¬¢Õ∫‡¢μ°“√

¥”‡π‘πß“π„πÕπ“§μ

μ—«·ª√„π·∫∫®”≈Õß

μ—«·ª√∑“ß§≈‘π‘°·≈–§«“¡πà“®–‡ªìπ„π°“√‡ª≈’ˬπ ∂“π–

 ÿ¢¿“æÕâ“ßÕ‘ß®“°ß“π¢Õß Praditsitthikorn ·≈–§≥–(6) °“√

»÷°…“π’È®–¢Õ°≈à“«∂÷ß√“¬≈–‡Õ’¬¥¢Õßμ—«·ª√∑’Ë„™â„π·∫∫

®”≈Õß∑’ËπÕ°‡Àπ◊Õ®“°∑’ˇ§¬√“¬ß“π μ—«·ª√À≈—°„π·∫∫

®”≈Õ߉¥â®“°°“√∑∫∑«π«√√≥°√√¡∑—Èß„π·≈–μà“ߪ√–‡∑»

·≈–‡°Á∫¢âÕ¡Ÿ≈„π‚√ßæ¬“∫“≈¡À“«‘∑¬“≈—¬·≈–»Ÿπ¬å¡–‡√Áß 12

·Ààß ·∫∫®”≈Õß‚√§‰¥âºà“π°“√μ√«® Õ∫§«“¡∂Ÿ°μâÕß ‚¥¬

°“√æ‘®“√≥“¢Õ∫‡¢μ·≈–§«“¡ ¡‡Àμÿ ¡º≈¢Õß‚§√ß √â“ß

·≈–‚¥¬ºŸâ‡™’ˬ«™“≠∑“ß§≈‘π‘° ·≈–∑¥ Õ∫§«“¡∂Ÿ°μâÕ߇™‘ß æ¬“°√≥å ‚¥¬‡ª√’¬∫‡∑’¬∫º≈≈—æ∏宓°·∫∫®”≈Õß·≈–¢âÕ¡Ÿ≈

®“°°“√ ”√«®§«“¡™ÿ°°“√μ‘¥‡™◊ÈՇՙ撫’„π®—ßÀ«—¥≈”ª“ß·≈–

 ß¢≈“(11) ·≈–Õÿ∫—μ‘°“√≥å¡–‡√Áߪ“°¡¥≈Ÿ°®“°¢âÕ¡Ÿ≈∑–‡∫’¬π

¡–‡√Áß„πª√–‡∑»‰∑¬(2) (√Ÿª∑’Ë 1)

μ—«·ª√ª√– ‘∑∏‘¿“æ¢Õß°“√μ√«®§—¥°√Õß ‰¥â·°à §«“¡

‰«·≈–§«“¡®”‡æ“–¢Õß°“√μ√«®§—¥°√Õß ‰¥â®“°°“√∑∫∑«π

«√√≥°√√¡·≈–°“√«‘‡§√“–À凙‘ßÕπÿ¡“π §à“§«“¡‰«·≈–§«“¡

®”‡æ“–‡∑à“°—∫√âÕ¬≈– 68 ·≈– 77  ”À√—∫«‘∏’ VIA ·≈– 54 ·≈–

91  ”À√—∫«‘∏’·ªª ‡¡’¬√å (√Ÿª∑’Ë 2)

μ—«·ª√μâπ∑ÿπ§√Õ∫§≈ÿ¡§à“„™â®à“¬μ—Èß·μà‡√‘Ë¡§—¥°√Õß μ√«®¬◊π¬—πº≈ √—°…“‡´≈≈庑¥ª°μ‘ μ‘¥μ“¡  àßμàÕ ·≈–√—°…“

¡–‡√Áß√–¬–≈ÿ°≈“¡ ®÷ß§√Õ∫§≈ÿ¡μâπ∑ÿπ 3 ª√–‡¿∑

1) μâπ∑ÿπ∑“ßμ√ß∑“ß°“√·æ∑¬å ‰¥â·°à §à“∫√‘°“√

(4)

√Ÿª∑’Ë 1 °“√∑¥ Õ∫§«“¡∂Ÿ°μâÕߢÕß·∫∫®”≈Õß ‚¥¬‡ª√’¬∫‡∑’¬∫

º≈≈—æ∏宓°·∫∫®”≈Õß°—∫¢âÕ¡Ÿ≈®“°°“√ ”√«®·≈–

∑–‡∫’¬π¡–‡√Áß„πª√–‡∑»‰∑¬

√Ÿª∑’Ë 2 º≈°“√«‘‡§√“–À凙‘ßÕπÿ¡“π§à“§«“¡‰«·≈–§«“¡®”‡æ“–¢Õß°“√§—¥°√Õß«‘∏’ VIA (¿“æ∫π) ·≈–«‘∏’·ªª ‡¡’¬√å (¿“æ≈à“ß) μ√«®§—¥°√Õß §à“∫√‘°“√∑“ß°“√·æ∑¬å·≈–欓∫“≈ §à“¬“

·≈–‡«™¿—≥±å §à“μ√«®∑“ßÀâÕߪؑ∫—μ‘°“√·≈–À—μ∂°“√ §à“

ÀâÕß·≈–§à“Õ“À“√ (°√≥’ºŸâªÉ«¬„π)

2) μâπ∑ÿπ∑“ßμ√ß∑’Ë¡‘„™à∑“ß°“√·æ∑¬å ‰¥â·°à §à“„™â

®à“¬¢ÕߺŸâªÉ«¬·≈–≠“μ‘√–À«à“ß√—∫∫√‘°“√∑“ß°“√·æ∑¬å √«¡

∂÷ß°“√¥Ÿ·≈Õ◊ËπÊ ∑’ˇ°’ˬ«¢âÕß ‡™àπ §à“‡¥‘π∑“ß ∑’Ëæ—° Õ“À“√

‡¡◊ËÕ¡“æ∫·æ∑¬å §à“¥Ÿ·≈Õ¬à“߉¡à‡ªìπ∑“ß°“√ §à“„™â®à“¬„π°“√

ª√—∫ª√ÿß∑’Ëæ—° ´◊ÈÕÕÿª°√≥å®”‡ªìπ‡π◊ËÕß¡“®“°°“√‡®Á∫ªÉ«¬ ‡ªìπμâπ 3) μâπ∑ÿπ∑“ßÕâÕ¡ ‰¥â·°à μâπ∑ÿπº≈‘μ¿“æ∑’Ë Ÿ≠‡ ’¬

‰ª¢Õß≠“μ‘

∑—Èßπ’È μâπ∑ÿπ„π°“√§—¥°√Õß§√Õ∫§≈ÿ¡μ—Èß·μà °√–∫«π°“√

§—¥°√Õß øíߺ≈ μ√«®¬◊π¬—π √—°…“§«“¡º‘¥ª°μ‘ √—°…“

Õ“°“√¢â“߇§’¬ß μ≈Õ¥®πμ√«®μ‘¥μ“¡ ®÷ߺ—π·ª√μ“¡ ¿“«–

 ÿ¢¿“æ ·≈–¢÷Èπ°—∫§«“¡ “¡“√∂¢Õß«‘∏’§—¥°√Õß ‚¥¬º≈

≈—æ∏å°“√§—¥°√Õß “¡“√∂·∫à߇ªìπ 4 °≈ÿà¡ §◊Õ ∫«°®√‘ß (true positive) ∫«°≈«ß (false positive) ≈∫®√‘ß (true negative)

0.05%

0.06%

0.07%

0.08%

0.09%

0.10%

Baseline cancer incidence derived from the model: cumulative lifetime incidence = 2.7%

0.00%

0.01%

0.02%

0.03%

0.04%

Cervical cancer incidence (%)

Age (year) Population data (1998-2000): cumulative lifetime incidence = 2.7 %

25 Community survey

20

Baseline HPV prevalence derived from the model

15

10

HPV prevalence (%) 5

0 Age (year)

15 20 25 30 35 40 45 50 55 60 65 70 75 15 20 25 30 35 40 45 50 55 60 65 70 75

Study

Fixed effect model Random effects model

Heterogeneity: I-squared=86%, tau-squared=0.0069, p<0.0001 U.ofZimbabwe,1999

Basu,2003 Basu,2004 Winkler,2003 Bhatla,2004 Sankaranarayanan,2004 Sankaranarayanan,2004 Sankaranarayanan,2004 DeVuyst,2005 Shastri,2005 Shastri,2005 Sangwa-Lugoma,2006

TE

0.77 0.56 0.61 0.60 0.88 0.65 0.68 0.79 0.73 0.64 0.67 0.76

seTE

0.0309 0.0402 0.0402 0.0702 0.1569 0.0257 0.0257 0.0122 0.0573 0.0481 0.0481 0.0824

0 0.2 0.4 0.6 0.8 1 1.2 Sensitivity of VIA

Sensitivity

0.73 0.68 0.77 0.56 0.61 0.60 0.88 0.65 0.68 0.79 0.73 0.64 0.67 0.76

95%-CI

[0.71; 0.75]

[0.63; 0.74]

[0.71; 0.83]

[0.48; 0.64]

[0.53; 0.69]

[0.46; 0.74]

[0.57; 1.18]

[0.60; 0.70]

[0.63; 0.73]

[0.77; 0.82]

[0.62; 0.85]

[0.54; 0.73]

[0.58; 0.76]

[0.60; 0.92]

W(fixed)

100%

-- 7.7%

4.5%

4.5%

1.5%

0.3%

11.1%

11.1%

49.6%

2.2%

3.2%

3.2%

1.1%

W(random)

-- 100%

10.0%

9.2%

9.2%

6.6%

2.5%

10.4%

10.4%

11.1%

7.7%

8.5%

8.5%

5.7%

Study

Fixed effect model Random effects model

Heterogeneity: I-squared=99.4%, tau-squared=0.0028, p<0.0001 U.ofZimbabwe,1999

Basu,2003 Basu,2004 Winkler,2003 Bhatla,2004 Sankaranarayanan,2004 Sankaranarayanan,2004 Sankaranarayanan,2004 DeVuyst,2005 Shastri,2005 Shastri,2005 Sangwa-Lugoma,2006

TE

0.64 0.82 0.83 0.69 0.63 0.87 0.87 0.85 0.78 0.88 0.88 0.42

seTE

0.0081 0.0047 0.0047 0.0382 0.0371 0.0028 0.0028 0.0015 0.0146 0.0057 0.0057 0.0155

0.4 0.6 0.8 1

Specifity of VIA

Specificity

0.85 0.77 0.64 0.82 0.83 0.69 0.63 0.87 0.87 0.85 0.78 0.88 0.88 0.42

95%-CI

[0.85; 0.85]

[0.74; 0.80]

[0.62; 0.66]

[0.81; 0.83]

[0.82; 0.84]

[0.61; 0.76]

[0.56; 0.70]

[0.86; 0.87]

[0.86; 0.87]

[0.85; 0.86]

[0.75; 0.80]

[0.87; 0.90]

[0.87; 0.89]

[0.39; 0.45]

W(fixed)

100%

-- 1.8%

5.2%

5.2%

0.1%

0.1%

15.2%

15.2%

49.1%

0.5%

3.6%

3.5%

0.5%

W(random)

-- 100%

8.8%

8.9%

8.9%

5.9%

6.0%

9.0%

9.0%

9.0%

8.4%

8.9%

8.9%

8.3%

Study

Fixed effect model Random effects model

Heterogeneity: I-squared=93.7%, tau-squared=0.0338, p<0.0001 Hall,1996

U.ofZimbabwe,1999 Singh,2001 Witt,2003 Basu,2003 Singer,2003 Lee,2004 Sarian,2004 DeVuyst,2005 Goel,2005 Shastri,2005 Boonlikit,2005 Doh,2005 Sangwa-Lugoma,2006 Monsonego,2006

TE

0.35 0.44 0.81 0.64 0.29 0.60 0.76 1.00 0.72 0.69 0.32 0.07 0.67 0.46 0.42

seTE

0.0974 0.0350 0.0428 0.0382 0.0469 0.0542 0.0353 0.1878 0.0641 0.1378 0.0368 0.1283 0.0316 0.0939 0.0350

0 0.2 0.4 0.6 0.8 1 1.2 Sensitivity of PAP Smear

Sensitivity

0.56 0.54 0.35 0.44 0.81 0.64 0.29 0.60 0.76 1.00 0.72 0.69 0.32 0.07 0.67 0.46 0.42

95%-CI

[ 0.53; 0.58]

[ 0.44; 0.64]

[ 0.16; 0.54]

[ 0.37; 0.51]

[ 0.73; 0.90]

[ 0.57; 0.72]

[ 0.20; 0.39]

[ 0.49; 0.70]

[ 0.69; 0.83]

[ 0.63; 1.37]

[ 0.59; 0.84]

[ 0.42; 0.96]

[ 0.25; 0.39]

[-0.18; 0.32]

[ 0.61; 0.73]

[ 0.28; 0.65]

[ 0.35; 0.49]

W(fixed)

100%

-- 1.5%

12.0%

8.0%

10.1%

6.7%

5.0%

11.8%

0.4%

3.6%

0.8%

10.8%

0.9%

14.7%

1.7%

12.0%

W(random)

-- 100%

6.1%

7.5%

7.4%

7.5%

7.3%

7.2%

7.5%

3.8%

6.9%

5.0%

7.5%

5.2%

7.6%

6.2%

7.5%

Study

Fixed effect model Random effects model

Heterogeneity: I-squared=98.3%, tau-squared=0.0046, p<0.0001 Hall,1996

U.ofZimbabwe,1999 Singh,2001 Witt,2003 Basu,2003 Singer,2003 Lee,2004 Sarian,2004 DeVuyst,2005 Goel,2005 Shastri,2005 Boonlikit,2005 Doh,2005 Sangwa-Lugoma,2006 Monsonego,2006

TE

0.98 0.91 0.79 0.95 0.92 0.95 0.66 0.81 0.96 0.96 0.99 0.98 0.88 0.98 0.92

seTE

0.0231 0.0059 0.0158 0.0245 0.0037 0.0109 0.0130 0.0287 0.0106 0.0366 0.0043 0.0166 0.0067 0.0116 0.0189

0.4 0.6 0.8 1

Specifity of PAP Smear Specificity

0.93 0.91 0.98 0.91 0.79 0.95 0.92 0.95 0.66 0.81 0.96 0.96 0.99 0.98 0.88 0.98 0.92

95%-CI

[0.92; 0.93]

[0.87; 0.94]

[0.94; 1.03]

[0.89; 0.92]

[0.76; 0.82]

[0.90; 0.99]

[0.92; 0.93]

[0.93; 0.98]

[0.63; 0.68]

[0.76; 0.87]

[0.94; 0.98]

[0.89; 1.03]

[0.98; 1.00]

[0.94; 1.01]

[0.87; 0.89]

[0.96; 1.00]

[0.88; 0.96]

W(fixed)

100%

-- 0.8%

12.6%

1.8%

0.7%

33.1%

3.8%

2.6%

0.5%

3.9%

0.3%

23.7%

1.6%

9.9%

3.3%

1.2%

W(random)

-- 100%

6.4%

7.0%

6.7%

6.3%

7.1%

6.9%

6.8%

6.0%

6.9%

5.5%

7.1%

6.7%

7.0%

6.9%

6.6%

(5)

·≈–≈∫≈«ß (false negative) °√≥’·ªª ‡¡’¬√å °≈ÿà¡∑’Ë¡’º≈

∫«°®–¡’μâπ∑ÿπ‡æ‘Ë¡„π¢—ÈπμÕπ°“√μ√«®¬◊π¬—πº≈ ·≈–‡©æ“–

°≈ÿà¡∑’Ë¡’º≈∫«°®√‘ß®–¡’μâπ∑ÿπ‡æ‘Ë¡„π°“√√—°…“§«“¡º‘¥ª°μ‘

¢Õ߇´≈≈媓°¡¥≈Ÿ° Õ“°“√¢â“߇§’¬ß∑’ËÕ“®‡°‘¥®“°°“√√—°…“

√«¡∂÷ß§à“„™â®à“¬„π°“√μ√«®μ‘¥μ“¡À≈—ß°“√√—°…“ ∑—Èß Õß«‘∏’

À“°„Àâº≈°“√§—¥°√Õ߇ªìπ≈∫ ‰¡à«à“º≈≈∫®√‘ßÀ√◊Õ≈∫≈«ß ®–

¡’μâπ∑ÿπ‡∑à“°—π §◊Õ μâπ∑ÿπ„π¢—ÈπμÕπμ√«®§—¥°√Õß·≈–øíߺ≈

 √ÿªμâπ∑ÿπ∑“ßμ√ß∑“ß°“√·æ∑¬å¥—ßμ“√“ß∑’Ë 1

¢âÕ¡Ÿ≈μâπ∑ÿπ°“√√—°…“¡–‡√Áߪ“°¡¥≈Ÿ°·≈–μ—«·ª√

Õ√√∂ª√–‚¬™π剥⮓°∞“πª√–«—μ‘°“√√—°…“·≈– —¡¿“…≥废⠪ɫ¬∑’Ë¡“√—∫°“√√—°…“„π‚√ßæ¬“∫“≈¡À“«‘∑¬“≈—¬ 4 ·Ààß ·≈–

»Ÿπ¬å¡–‡√Áß 12 ·Ààß „πªï æ.». 2549-2550 ®”π«π 1,035 §π

¿“¬„μâ‚§√ß°“√«‘®—¬¢Õß°≈ÿà¡»÷°…“¡–‡√Áßπ√’‡«™‰∑¬ ·≈–

‡§√◊Õ¢à“¬«‘®—¬§≈‘π‘° À ∂“∫—π (ªí®®ÿ∫—π§◊Õ‡§√◊Õ¢à“¬«‘®—¬°≈ÿà¡

 ∂“∫—π·æ∑¬»“ μ√å·Ààߪ√–‡∑»‰∑¬) μâπ∑ÿπ√«¡μ—Èß·μࢗÈπ μÕπ°“√«‘π‘®©—¬ √—°…“ ®πºŸâªÉ«¬‡¢â“ Ÿà√–¬– ß∫¢Õß‚√§ À√◊Õ

°≈—∫‡ªìπ´È” ®π°√–∑—Ë߇ ’¬™’«‘μ  √ÿª‡ªìπμâπ∑ÿπμ≈Õ¥™’æ¢Õß

°“√√—°…“¡–‡√Áߪ“°¡¥≈Ÿ° ·¬°μ“¡√–¬–¢Õß‚√§ ¥—ß¿“æ∑’Ë 3

´÷Ëß®–‡ÀÁπ«à“μâπ∑ÿπ°“√√—°…“μàÕ§π¡’¡Ÿ≈§à“ Ÿß¡“° §‘¥‡ªìπ 1,398,000 (§à“§«“¡§≈“¥‡§≈◊ËÕπ¡“μ√∞“πÀ√◊Õ SE = 8,870) 1,212,000 (SE = 7,620) 1,195,000 (SE = 7,520) ·≈– 920,000 (SE = 10,443) ∫“∑  ”À√—∫°“√√—°…“¡–‡√Áß√–¬–∑’Ë 1, 2, 3

·≈– 4 μ“¡≈”¥—∫

μ—«·ª√Õ√√∂ª√–‚¬™π剥⮓°°“√ —¡¿“…≥废âªÉ«¬¥â«¬

·∫∫ Õ∫∂“¡ EQ-5D-3L ©∫—∫¿“…“‰∑¬ ª√–°Õ∫¥â«¬ 2  à«π

§◊Õ  à«π∑’Ë 1  Õ∫∂“¡ ÿ¢¿“æ¢ÕߺŸâªÉ«¬„π 5 ¡‘μ‘ ÿ¢¿“æ ‰¥â·°à

°“√‡§≈◊ËÕπ‰À« °“√¥Ÿ·≈μπ‡Õß °‘®°√√¡∑’Ë∑”‡ªìπª√–®”

§«“¡‡®Á∫ª«¥À√◊Õ§«“¡‰¡à ÿ¢ ∫“¬ §«“¡«‘μ°°—ß«≈À√◊Õ´÷¡‡»√â“

§”μÕ∫¢Õß à«π∑’Ë 1 ®–∂Ÿ°·ª≈߇ªìπ§–·ππÕ√√∂ª√–‚¬™πå

‚¥¬‡∑’¬∫°—∫ ¡°“√¢Õߪ√–‡∑»‰∑¬  à«π∑’Ë 2 ª√–‡¡‘π¿“«–

 ÿ¢¿“æ‚¥¬„™â ‡°≈·∫∫‡ âπμ√ß∑’Ë¡’§à“μ—Èß·μà 0 ∂÷ß 100 ´÷Ëß®–

∂Ÿ°ª√—∫‡ªìπ§à“Õ√√∂ª√–‚¬™πå√–À«à“ß 0 - 1 ‚¥¬ 0 À¡“¬∂÷ß  ¿“«– ÿ¢¿“æ∑’Ë·¬à∑’Ë ÿ¥ 1 À¡“¬∂÷ß ¿“«– ÿ¢¿“æ∑’Ë¥’∑’Ë ÿ¥ ∑—Èßπ’È

„πªï∑’Ë∑”°“√‡°Á∫¢âÕ¡Ÿ≈ ¬—߉¡à¡’ ¡°“√ ”À√—∫ª√–™“°√‰∑¬

‡æ◊ËÕ„™â·ª≈ß§à“Õ√√∂ª√–‚¬™π宓° à«π∑’Ë 1 Praditsitthikorn

·≈–§≥–®÷ß„™â§à“Õ√√∂ª√–‚¬™πå∑’ˉ¥â®“° à«π∑’Ë 2 °“√»÷°…“

§√—Èßπ’È®÷ߪ√—∫ª√ÿß§à“Õ√√∂ª√–‚¬™πå„π à«π∑’Ë 1 ‚¥¬„™â ¡°“√

¢Õߪ√–™“°√‰∑¬∑’Ëæ—≤π“‚¥¬ Tongsiri ·≈–§≥–„πªï 2552

®÷߉¥â§à“Õ√√∂ª√–‚¬™π套߷ ¥ß„π√Ÿª∑’Ë 4 §à“Õ√√∂ª√–‚¬™πå

¢Õß√–¬–°àÕπ‡ªìπ¡–‡√Áß°”Àπ¥ ¡¡ÿμ‘∞“π¡’§à“‡∑à“°—∫ 1 À√◊Õ

√Ÿª∑’Ë 3 μâπ∑ÿπμ≈Õ¥™’æ¢Õß°“√√—°…“¡–‡√Áߪ“°¡¥≈Ÿ° ·∫àßμ“¡

√–¬–‚√§ (μâπ∑ÿπ§‘¥®“°¡ÿ¡¡Õß∑“ß —ß§¡) μ“√“ß∑’Ë 1 μâπ∑ÿπ∑“ßμ√ß∑“ß°“√·æ∑¬å¢Õß°“√§—¥°√Õß ¥â«¬«‘∏’ VIA ·≈– ·ªª ‡¡’¬√å

º≈°“√§—¥°√Õß

«‘∏’°“√μ√«®§—¥°√Õß

≈∫®√‘ß/≈«ß ∫«°≈«ß* ∫«°®√‘ß

«’‰Õ‡Õ (∫“∑/√“¬) 28 675 4,036

·ªª ‡¡’¬√å (∫“∑/√“¬) 57 1,165 5,173

*√«¡∂÷ß°“√μ√«®æ∫§«“¡º‘¥ª°μ‘√–¬– CIN-1

À¡“¬∂÷ßμ√«®æ∫§«“¡º‘¥ª°μ‘√–¬– CIN-2/3

Lifetime cost of treatment for cervical cancer (Baht/person) 3,000,000

2,500,000

2,000,000

1,500,000

1,000,000

500,000

0

Stage I Stage II Stage III Stage IV

(6)

 ¿“«– ÿ¢¿“æ∑’Ë¥’∑’Ë ÿ¥

º≈°“√»÷°…“

°“√«‘‡§√“–Àåμâπ∑ÿπμ≈Õ¥™’æ·≈–º≈≈—æ∏å∑“ß ÿ¢¿“æ „π

·ßàÕÿ∫—μ‘°“√≥å¡–‡√Áߪ“°¡¥≈Ÿ° ®”π«π°“√‡ ’¬™’«‘μ∑’Ë≈¥≈ß

¿“¬À≈—ß°“√§—¥°√Õß æ‘®“√≥“„π¡ÿ¡¡ÕߢÕß —ß§¡ ¿“¬„μâ  ∂“π°“√≥å∑’ˇ√‘Ë¡§—¥°√Õß∑’ËÕ“¬ÿμà“ßÊ ·≈–∑’˧«“¡∂’Ë∑ÿ° 5 ªï

∑ÿ° 3 ªï ·≈–∑ÿ° 1 ªï ¥—ßμ“√“ß∑’Ë 2 ·≈–√Ÿª∑’Ë 5

°“√«‘‡§√“–Àåæ∫«à“À“°‰¡à¡’¡“μ√°“√§«∫§ÿ¡·≈–

ªÑÕß°—π‚√§ ®–¡’º≈‡ ’¬∑“ß ÿ¢¿“æ¡“°∑’Ë ÿ¥ §◊Õ¡’®”π«πºŸâ ªÉ«¬¡–‡√Áߪ“°¡¥≈Ÿ°„À¡àªï≈–°«à“ 9,000 √“¬ ·≈–‡ ’¬™’«‘μ‡°◊Õ∫

4,000 √“¬μàÕªï μâπ∑ÿπμ≈Õ¥™’æ Ÿß∑’Ë ÿ¥‡©≈’ˬ 9,800 ∫“∑μàÕ  μ√’ 1 §π ‡¡◊ËÕ®”≈Õß ∂“π°“√≥åªí®®ÿ∫—π∑’Ë¡’°“√μ—È߇ªÑ“À¡“¬

√–¥—∫™“μ‘¢Õß°“√§—¥°√Õß„Àâ§√Õ∫§≈ÿ¡√âÕ¬≈– 80 ¢Õß μ√’∑’Ë

¡’Õ“¬ÿ 30 - 60 ªï ‚¥¬§—¥°√Õß∑ÿ° 5 ªï º≈°“√«‘‡§√“–Àå· ¥ß

·π«‚πâ¡∑’Ë≈¥≈ßÕ¬à“ß¡“°¢Õß®”π«πºŸâªÉ«¬„À¡à·≈–®”π«πºŸâ

‡ ’¬™’«‘μ®“°¡–‡√Áߪ“°¡¥≈Ÿ° §◊Õ ≈¥°«à“√âÕ¬≈– 40 ‡¡◊ËÕ

‡∑’¬∫°—∫°“√‰¡à¡’¡“μ√°“√§—¥°√Õß ¢≥–‡¥’¬«°—πμâπ∑ÿπ‚¥¬

√«¡≈¥‡À≈◊Õª√–¡“≥ 7,100 ∫“∑μàÕ μ√’ 1 §π Õ—π‡ªìπº≈

®“°μâπ∑ÿπ°“√§—¥°√Õß·≈–√—°…“§«“¡º‘¥ª°μ‘√–¬–°àÕπ‡ªìπ

¡–‡√Áß∑’ˇæ‘Ë¡¢÷Èπ‡©≈’ˬ§π≈– 590 ∫“∑ ·μà°≈—∫™à«¬ª√–À¬—¥

‡ß‘π„π°“√√—°…“‚√§¡–‡√Áß∂÷ß 3,300 ∫“∑μàÕ μ√’ 1 §π À“°„Àâ¡’°“√§—¥°√Õß∑ÿ° 5 ªï¥—߇¥‘¡ ·μà≈¥Õ“¬ÿ∑’ˇ√‘Ë¡

§—¥°√Õß≈߇ªìπ 25, 20 ·≈– 15 ªï ‚¥¬§—¥°√Õß®π∂÷ßÕ“¬ÿ 60 ªï ®”π«πºŸâªÉ«¬¡–‡√Áß√“¬„À¡à®–≈¥≈߉¥âÕ’°ªï≈– 320, 440 ·≈–

450 √“¬μ“¡≈”¥—∫ ·≈–°“√‡ ’¬™’«‘μ≈¥≈߉¥âÕ’°ªï≈– 150, 200

·≈– 210 √“¬μ“¡≈”¥—∫ §‘¥‡ªìπº≈≈—æ∏å ÿ¥∑⓬¥â“π ÿ¢¿“æ

„π√Ÿª¢Õß®”π«πªï ÿ¢¿“«–∑’ˇæ‘Ë¡¢÷Èπ‡©≈’ˬμàÕ μ√’ 1 §π§◊Õ 0.004, 0.006 ·≈– 0.007 ªï À√◊Õ‡∑à“°—∫ 1.5, 2.2 ·≈– 2.5

«—πμ“¡≈”¥—∫ °“√§—¥°√Õß∑’ËÕ“¬ÿπâÕ¬®–¡’μâπ∑ÿπ°“√ªÑÕß°—π

‡æ‘Ë¡¢÷Èπ „π∑“ß°≈—∫°—π§à“„™â®à“¬∑’ËμâÕ߇ ’¬‰ª„π°“√√—°…“

¡–‡√Áß°≈—∫≈¥≈ß ·≈–‡¡◊ËÕæ‘®“√≥“¡“μ√°“√§—¥°√Õß∑ÿ° 3 ·≈–

1 ªï ·μର‡«âπ°“√§—¥°√Õß«—¬√ÿàπÕ“¬ÿμË”°«à“ 20 ªï °“√≈ß∑ÿπ

‡æ◊ËÕ§—¥°√Õߙ૬ªÑÕß°—π°“√‡ªìπ¡–‡√Áߪ“°¡¥≈Ÿ°‡æ’¬ß‡≈Á°πâÕ¬

·≈–§à“„™â®à“¬°“√√—°…“¡–‡√Áߪ“°¡¥≈Ÿ°≈¥≈ßπâÕ¬¡“° À√◊Õ

·∑∫‰¡à≈¥‡≈¬

√Ÿª∑’Ë 4 §à“‡©≈’ˬ·≈–§à“§≈“¥‡§≈◊ËÕπ¡“μ√∞“π¢Õßμ—«·ª√Õ√√∂ª√–‚¬™πå∑’Ë„™â„π·∫∫®”≈Õß ·∫àßμ“¡√–¬–‚√§

Utility

1.00

0.75

0.50

0.25

0.00

-0.25

Initial Persistence Recurrence Remission

I II III IV

Initial 0.699 (0.015) 0.711 (0.016) 0.646 (0.022) 0.558 (0.044) Persistence 0.847 (0.154) 0.682 (0.044) 0.620 (0.054) 0.176 (0.119) Recurrence 0.714 (0.047) 0.710 (0.034) 0.619 (0.050) 0.737 (0.070) Remission 0.815 (0.015) 0.766 (0.014) 0.776 (0.016) 0.686 (0.081)

Stage

(7)

μ“√“ß∑’Ë 2 º≈≈—æ∏å∑“ß ÿ¢¿“æ μâπ∑ÿπμ≈Õ¥™’æ (μâπ∑ÿπ∑’ˇ°‘¥®“°°“√ªÑÕß°—π‚√§‚¥¬°“√§—¥°√Õß·≈–μâπ∑ÿπ∑’ˇ°‘¥®“°°“√√—°…“) ·≈–Õ—μ√“ à«π μâπ∑ÿπª√– ‘∑∏‘º≈ à«π‡æ‘Ë¡ (ICER) „π ∂“π°“√≥åμà“ßÊ ‡¡◊ËÕÕ—μ√“°“√§—¥°√Õ߇∑à“°—∫√âÕ¬≈– 80

Case averted (cases) Total Cost outcome (Baht) Total ICER

Strategy Cervical Death QALYs Prevention Treatment Cost (Baht/QALY)

cancer (years) (Baht)

5-year screening

VIA (30-45) + Pap (50-60)* 5,380* 2,120* 28.067 590 6,530 7,120 Reference

VIA (25-45) + Pap (50-60) 320 150 28.071 730 6,120 6,850 Dominated

VIA (20-45) + Pap (50-60) 440 200 28.073 890 5,930 6,820 Dominated

VIA (15-45) + Pap (50-60) 450 210 28.074 1,050 5,900 6,950 Dominated

3-year screening

VIA (30-45) + Pap (48-60) 930 450 28.076 910 5,540 6,450 -73,320

VIA (27-45) + Pap (48-60) 1,210 570 28.080 1,040 5,200 6,240 -53,790

VIA (24-45) + Pap (48-60) 1,430 670 28.083 1,180 4,890 6,070 -51,470

VIA (21-45) + Pap (48-60) 1,550 720 28.085 1,330 4,690 6,020 -26,010

VIA (18-45) + Pap (48-60) 1,580 740 28.085 1,500 4,610 6,110 Dominated

VIA (15-45) + Pap (48-60) 1,590 740 28.086 1,660 4,590 6,250 Dominated

1-year screening

VIA (30-45) + Pap (46-60) 2,870 1,170 28.090 2,440 3,490 5,930 Dominated

VIA (29-45) + Pap (46-60) 3,010 1,230 28.092 2,560\ 3,330 5,890 Dominated

VIA (28-45) + Pap (46-60) 3,130 1,280 28.093 2,690 3,170 5,860 Dominated

VIA (27-45) + Pap (46-60) 3,250 1,330 28.095 2,810 3,000 5,810 Dominated

VIA (26-45) + Pap (46-60) 3,360 1,380 28.097 2,950 2,840 5,790 -20,100

VIA (25-45) + Pap (46-60) 3,460 1,420 28.098 3,080 2,680 5,760 -16,650

VIA (24-45) + Pap (46-60) 3,560 1,460 28.099 3,220 2,530 5,750 -8,150

VIA (23-45) + Pap (46-60) 3,640 1,500 28.100 3,370 2,390 5,760 Dominated

VIA (22-45) + Pap (46-60) 3,700 1,530 28.101 3,520 2,270 5,790 Dominated

VIA (21-45) + Pap (46-60) 3,750 1,550 28.102 3,670 2,160 5,830 Dominated

VIA (20-45) + Pap (46-60) 3,780 1,560 28.103 3,830 2,080 5,910 Dominated

VIA (19-45) + Pap (46-60) 3,810 1,570 28.103 3,990 2,030 6,020 Dominated

VIA (18-45) + Pap (46-60) 3,820 1,580 28.103 4,150 1,990 6,140 Dominated

VIA (17-45) + Pap (46-60) 3,830 1,580 28.104 4,310 1,960 6,270 Dominated

VIA (16-45) + Pap (46-60) 3,840 1,590 28.104 4,480 1,950 6,430 Dominated

VIA (15-45) + Pap (46-60) 3,840 1,590 28.104 4,640 1,950 6,590 Dominated

Pap = «‘∏’·ªª ‡¡’¬√å

* ∂“π°“√≥åªí®®ÿ∫—π · ¥ß§à“Õâ“ßՑ߇ªìπ®”π«πºŸâªÉ«¬„À¡à·≈–®”π«πºŸâ‡ ’¬™’«‘μ

(8)

°“√«‘‡§√“–Àåμâπ∑ÿπÕ√√∂ª√–‚¬™πå · ¥ß¥â«¬§à“

Õ—μ√“ à«πμâπ∑ÿπª√– ‘∑∏‘º≈ à«π‡æ‘Ë¡ (incremental Cost-Ef- fectiveness Ratios; ICERs) ¥—ßμ“√“ß∑’Ë 2 ‚¥¬À“°„Àâ

§«“¡∂’Ë¢Õß°“√§—¥°√Õ߇∑à“‡¥‘¡§◊Õ∑ÿ° 5 ªï ·μà≈¥Õ“¬ÿ∑’ˇ√‘Ë¡

§—¥°√Õß®“° 30 ‡ªìπ 25, 20 ·≈– 15 ªï ICER ®–‡∑à“°—∫

-56,500 -45,800 ·≈– -25,200 ∫“∑μàÕªï ÿ¢¿“«–μ“¡≈”¥—∫

°≈à“«§◊Õ°“√§—¥°√Õß∑’ËÕ“¬ÿπâÕ¬≈ߙ૬‡æ‘Ë¡®”π«πªï ÿ¢¿“«–

‡π◊ËÕß®“°ªÑÕß°—π°“√ Ÿ≠‡ ’¬®“°°“√‡ªìπ¡–‡√Áß·≈–≈¥°“√‡ ’¬

™’«‘μ ∑—È߬—ß„™âμâπ∑ÿπ‚¥¬√«¡πâÕ¬°«à“ À√◊Õª√–À¬—¥‡ß‘π‰¥â¡“°

°«à“¡“μ√°“√ªí®®ÿ∫—π ·μà‡¡◊ËÕæ‘®“√≥“μ“¡À≈—°§«“¡§ÿâ¡§à“

∑“ß ÿ¢¿“æ·≈â« °“√§ßÕ“¬ÿ∑’˧—¥°√Õ߇∑à“‡¥‘¡§◊Õ 30-60 ªï

‡À¡◊Õπ„πªí®®ÿ∫—π ·μà‡ª≈’Ë¬π§«“¡∂’Ë®“°∑ÿ° 5 ªï ‡ªìπ∑ÿ° 3 ªï

‡ªìπ¡“μ√°“√∑’˧ÿâ¡§à“°«à“ ‡ÀÁπ‰¥â®“° ICER ‡∑à“°—∫ -73,300

∫“∑μàÕªï ÿ¢¿“«– ‡¡◊ËÕ‡∑’¬∫°—∫¡“μ√°“√„πªí®®ÿ∫—π À√◊Õ‡¡◊ËÕ

‡∑’¬∫º≈≈—æ∏å ÿ¥∑⓬∑“ß ÿ¢¿“æ∑’ˇæ‘Ë¡‡∑à“°—π§◊Õ 1 ªï ÿ¢¿“«–

°“√§—¥°√Õß¡–‡√Áߪ“°¡¥≈Ÿ°∑ÿ° 3 ªï„π μ√’Õ“¬ÿ 30-60 ªï ®–

ª√–À¬—¥μâπ∑ÿπ„π¡ÿ¡¡ÕߢÕß —ß§¡¡“°∑’Ë ÿ¥ §◊Õ 73,300 ∫“∑

‡¡◊ËÕæ‘®“√≥“¡“μ√°“√∑’Ë¡’§«“¡§ÿâ¡§à“ °“√§—¥°√Õß∑ÿ° 3 ªï ·μà‡√‘Ë¡∑’ËÕ“¬ÿπâÕ¬≈ß§◊Õ 27 ‡ªìπ¡“μ√°“√∑’Ë¡’§«“¡§ÿâ¡§à“ ‚¥¬¡’

ICER ‡∑à“°—∫ -53,800 ∫“∑μàÕªï ÿ¢¿“«–‡¡◊ËÕ‡ª√’¬∫‡∑’¬∫°—∫

°“√‡√‘Ë¡§—¥°√Õß∑’ËÕ“¬ÿ 30 ªï °“√‡√‘Ë¡§—¥°√Õß∑’ËÕ“¬ÿ 24 ·≈–

21 ªï‡ªìπ¡“μ√°“√∑’Ë¡’§«“¡§ÿâ¡§à“„π≈”¥—∫∂—¥¡“ °“√§—¥°√Õß

∑ÿ° 3 ªï ‚¥¬‡√‘Ë¡∑’ËÕ“¬ÿ 18 ·≈– 15 ªï ‡ªìπ¡“μ√°“√∑’ˉ¡à¡’

§«“¡§ÿâ¡§à“‡¡◊ËÕ‡∑’¬∫°—∫°“√‡√‘Ë¡∑’Ë 21 ªï ‡π◊ËÕß®“°¡’ ICER  Ÿß

∂÷ß 124,800 ·≈– 289,000 ∫“∑μàÕªï ÿ¢¿“«– Õ’°π—¬Àπ÷Ëß§◊Õ

‡ªìπ°“√≈ß∑ÿπ‡æ‘Ë¡‡æ◊ËÕ¢¬“¬°“√§—¥°√Õß ·μà°≈—∫¡’®”π«πªï  ÿ¢¿“«– à«π‡æ‘Ë¡πâÕ¬¡“° ®÷߉¡à§«√π”¡“æ‘®“√≥“ª√–°Õ∫

°“√μ—¥ ‘π„®„π√–¥—∫ª√–™“°√ ≈”¥—∫∂—¥‰ª∑’˧«√§”π÷ß®÷ß

‡ªìπ°“√§—¥°√Õß∑ÿ°ªï ‡√‘Ë¡∑’ËÕ“¬ÿ 26, 25 ·≈– 24 ªï μ“¡≈”¥—∫

°“√§—¥°√Õß∑ÿ°ªï„π μ√’Õ“¬ÿμË”°«à“ 24 ªï‰¡à¡’§«“¡§ÿâ¡§à“‡™àπ

°—π ‡π◊ËÕß®“°¡’μâπ∑ÿπ Ÿß°«à“ ·μàº≈≈—æ∏å∑“ß ÿ¢¿“æ‡æ‘Ë¡‡æ’¬ß

‡≈Á°πâÕ¬ À“°π”¢âÕ √ÿª®“°μ“√“ß∑’Ë 2 ¡“ √â“ß°√“ø®–‰¥âμ“¡

√Ÿª∑’Ë 6

√Ÿª∑’Ë 6 ·°ππÕπ§◊Õº≈μà“ߢÕß®”π«πªï ÿ¢¿“«– ·°π μ—Èß§◊Õº≈μà“ߢÕßμâπ∑ÿπ §à“μ‘¥≈∫À¡“¬∂÷ß¡’μâπ∑ÿπ≈¥≈ß  —≠≈—°…≥å §◊Õ°“√§—¥°√Õß∑ÿ° 5 ªï  —≠≈—°…≥å Δ §◊Õ°“√

§—¥°√Õß∑ÿ° 3 ªï  —≠≈—°…≥å §◊Õ°“√§—¥°√Õ߇ªìπª√–®”

∑ÿ°ªï μ—«‡≈¢„π —≠≈—°…≥åÀ¡“¬∂÷ßÕ“¬ÿ∑’ˇ√‘Ë¡§—¥°√Õß ∑ÿ°

√Ÿª∑’Ë 5 º≈≈—æ∏å∑“ß ÿ¢¿“æ μâπ∑ÿπ°“√ªÑÕß°—π·≈–√—°…“¡–‡√Áߪ“°¡¥≈Ÿ°¢Õß∑“߇≈◊Õ°μà“ßÊ P = Pap smear; V = Visual Inspection with Acetic acid

4,000 6,000 8,000 10,000

4,000 6,000 8,000 10,000

Total cost (Baht / person) Health outcomes

(cases / year)

Treatment cost for cancer Prevention cost for screening New cervical cancer cases Death

0 2,000

,

0 2,000

,

V(30-45) P(50-60)

V(25-45) P(50-60)

V(20-45) P(50-60)

V(15-45) P(50-60)

V(30-45) P(48-60)

V(27-45) P(48-60)

V(24-45) P(48-60)

V(21-45) P(48-60)

V(18-45) P(48-60)

V(15-45) P(48-60)

V(30-45) P(46-60)

V(25-45) P(46-60)

V(20-45) P(46-60)

V(15-45) P(46-60)

5-yearly

80% coverage of screening

Do nothing

3-yearly Annually

(9)

¡“μ√°“√®– ‘Èπ ÿ¥∑’ËÕ“¬ÿ 60 ªï ®ÿ¥μ—¥√–À«à“ß·°πμ—Èß·≈–·°π πÕπ§◊Õμ—«·∑π¢Õß ∂“π°“√≥åªí®®ÿ∫—π Õ’°π—¬Àπ÷Ëß§◊Õ°“√§—¥

°√Õß∑ÿ° 5 ªï  ”À√—∫ μ√’Õ“¬ÿ 30 - 60 ªï ‡ âπ°√“ø≈“°‡™◊ËÕ¡

μàÕ‡©æ“–∑“߇≈◊Õ°∑’Ë¡’§«“¡§ÿâ¡§à“‡æ◊ËÕ‡ªìπ·π«∑“ß„π°“√

μ—¥ ‘π„®μ“¡≈”¥—∫¢—Èπ‡√’¬°«à“ efficiency frontier §à“§«“¡

™—π¢Õ߇ âπμ√ß√–À«à“ß·μà≈–∑“߇≈◊Õ°®–‡∑à“°—∫ ICER

‡π◊ËÕß®“°„πª√–‡∑»‰∑¬¡’ —¥ à«π°“√„Àâ∫√‘°“√«‘∏’

·ªª ‡¡’¬√å·≈– VIA ·μ°μà“ß°—π ‚¥¬«‘∏’ VIA ¡’¢âÕ®”°—¥

¢Õß°“√¢¬“¬∫√‘°“√∑’Ë∑”‰¡à‰¥â√«¥‡√Á« ‡π◊ËÕß®“°μâÕß¡’°√–∫«π-

°“√Ωñ°Õ∫√¡·≈–ª√–‡¡‘πº≈ Õ’°∑—Èß«‘∏’π’ȉ¡à “¡“√∂μ√«®‰¥â„π  μ√’∑ÿ°§π ‚¥¬‡©æ“–ºŸâ∑’ËÕ“¬ÿ¡“° ‡æ√“–√Õ¬μàÕ√–À«à“߇¬◊ËÕ∫ÿ  ‡§«å¡— ·≈–§Õ≈—¡π“√å (squamocolumnar junction)

¡â«πμ—«·≈–¡Õ߇ÀÁπ‰¡à™—¥ ªí®®ÿ∫—π§«“¡ “¡“√∂„π°“√√Õß√—∫

∫√‘°“√«‘∏’ VIA Õ¬Ÿà∑’Ë 200,000 √“¬μàÕªï ¥—ßπ—ÈπÀ“°®–¢¬“¬

°“√§—¥°√Õß„π√–¥—∫ª√–™“°√ «‘∏’·ªª ‡¡’¬√å®÷߇ªìπ«‘∏’À≈—°

Õ¬à“߉√°Áμ“¡ Õ—μ√“°”≈—ߢÕß∫ÿ§≈“°√¿“§√—∞ ‚¥¬‡©æ“–

‡®â“Àπâ“∑’ËÕà“π ‰≈¥å¿“¬À≈—߇°Á∫μ—«Õ¬à“߇¬◊ËÕ∫ÿ¡¥≈Ÿ° ‡ªìπ ª√–‡¥Áπ∑’˧«√æ‘®“√≥“ °“√»÷°…“π’È«‘‡§√“–Àå§«“¡‡ªìπ‰ª‰¥â

„π°“√√Õß√—∫∫√‘°“√‚¥¬π—°‡´≈≈å«‘∑¬“„π —ß°—¥°√–∑√«ß  “∏“√≥ ÿ¢ ´÷Ëßªí®®ÿ∫—π¡’ª√–¡“≥ 290 §π º≈≈—æ∏套ßμ“√“ß∑’Ë 3 °≈à“«§◊Õ À“°¢¬“¬°“√§—¥°√Õß„π°≈ÿࡇªÑ“À¡“¬∑’Ë¡’Õ“¬ÿ 30 - 60 ªï ‚¥¬‡ª≈’Ë¬π§«“¡∂’Ë®“°∑ÿ° 5 ªï ‡ªìπ∑ÿ° 3 ªï ª√‘¡“≥

 ‰≈¥å®–‡æ‘Ë¡®“° 2 ≈â“π‡ªìπ 3.4 ≈â“π·ºàπμàÕªï ®÷ß®”‡ªìπμâÕß

¡’π—°‡´≈≈å«‘∑¬“ 470 §π À√◊Õ§‘¥‡ªìπ 1.62 ‡∑à“¢Õß®”π«π ªí®®ÿ∫—π

√Ÿª∑’Ë 6 μâπ∑ÿπ·≈–ªï ÿ¢¿“«– à«π‡æ‘Ë¡¢Õß¡“μ√°“√μà“ßÊ ‡∑’¬∫°—∫

¡“μ√°“√ªí®®ÿ∫—π

μ“√“ß∑’Ë 3 §«“¡‡ªìπ‰ª‰¥â¢Õß®”π«ππ—°‡´≈≈å«‘∑¬“ ‡¡◊ËÕ¡’°“√¢¬“¬°“√§—¥°√Õß

§—¥°√Õß∑ÿ° 5 ªï §—¥°√Õß∑ÿ° 3 ªï

À—«¢âÕ „π μ√’Õ“¬ÿ 30-60 ªï „π μ√’

( ∂“π°“√≥åªí®®ÿ∫—π) Õ“¬ÿ 30-60 ªï

®”π«π‡ªÑ“À¡“¬∑—ÈßÀ¡¥ 15.8 ≈â“π§π*

®”π«π‡ªÑ“À¡“¬ ‡¡◊ËÕÕ—μ√“§—¥°√Õß§◊Õ√âÕ¬≈– 80 12.7 ≈â“π§π

®”π«π‡ªÑ“À¡“¬μàÕªï 2.5 ≈â“π§π 4.2 ≈â“π§π

ª√–¡“≥°“√≥å®”π«π‡ªÑ“À¡“¬∑’Ë√—∫∫√‘°“√„πÀπà«¬ß“π¿“§√—∞ √âÕ¬≈– 85 2.2 ≈â“π§π 3.6 ≈â“π§π

- «‘∏’·ªª ‡¡’¬√å 2 ≈â“π§π 3.4 ≈â“π§π

- «‘∏’ VIA 2 · π§π 2 · π§π

®”π«ππ—°‡´≈≈å«‘∑¬“∑’ËμâÕß°“√ 270 §π 470 §π

Õ—μ√“ à«π‡∑’¬∫°—∫Õ—μ√“°”≈—ß§π„πªí®®ÿ∫—π 0.94 1.62

*∑’Ë¡“: ¢âÕ¡Ÿ≈ ”¡–‚πª√–™“°√·≈–‡§À– ªï 2553  ”π—°ß“π ∂‘μ‘·Ààß™“μ‘(12)

∑’Ë¡“: °“√»÷°…“‡™‘ß ”√«® μ√’Õ“¬ÿ 30-60 ªï ®”π«π 4,500 §π ªï 2552 ‚§√ß°“√ª√–‡¡‘π‡∑§‚π‚≈¬’·≈–π‚¬∫“¬¥â“π ÿ¢¿“æ(4)

§”π«π®“°®”π«π«—π∑”ß“π 20 «—πμàÕ‡¥◊Õπ ª√‘¡“≥°“√Õà“π 30  ‰≈¥åμàÕ«—π

-500

00 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04

al cost (Baht)

Incremental QALYs (years)

-1,500 -1,000

Incrementa

30

30

27

24 21

2625 24 30

25 20 15

18 15

30 29 28

27 2322

21 20

19 18 17 16 15

(10)

«‘®“√≥å

 ∂“π°“√≥奔‡π‘πß“π§—¥°√Õß¡–‡√Áߪ“°¡¥≈Ÿ°¡’·π«

‚πâ¡¥’¢÷Èπμ—Èß·μàªï 2550 ‡ªìπμâπ¡“ Õ—μ√“°“√§—¥°√Õß Ÿß¢÷Èπ‡√◊ËÕ¬Ê

®“°ª√–¡“≥√âÕ¬≈– 20 „πªï 2550 ‡ªìπ√âÕ¬≈– 60-70 „πªï 2552 μàÕ¡“°√–∑√«ß “∏“√≥ ÿ¢·≈– ”π—°ß“πÀ≈—°ª√–°—π  ÿ¢¿“æ·Ààß™“쑉¥âμ—È߇ªÑ“„Àâ¡’°“√√≥√ß§å·≈–¢¬“¬°“√√—∫

∫√‘°“√§—¥°√Õß¡–‡√Áߪ“°¡¥≈Ÿ°‰¡àμË”°«à“√âÕ¬≈– 80 ¢Õß

°≈ÿࡇªÑ“À¡“¬ ®÷߇ªìπ∑’Ë¡“¢Õß°“√»÷°…“π’È∑’Ë«‘‡§√“–Àåμâπ∑ÿπ Õ√√∂ª√–‚¬™πå ‚¥¬Õâ“ßÕ‘ß ∂“π°“√≥åªí®®ÿ∫—π‡æ◊ËÕ„™â„π°“√

‡ª√’¬∫‡∑’¬∫ §◊Õ  μ√’Õ“¬ÿ√–À«à“ß 30-60 ªï √—∫°“√§—¥°√Õß

¡–‡√Áߪ“°¡¥≈Ÿ°‡ªìπª√–®”∑ÿ° 5 ªï ¥â«¬«‘∏’·ªª ‡¡’¬√å À√◊Õ VIA «‘∏’À≈—ß®”°—¥Õ“¬ÿ‰¡à‡°‘π 45 ªï

º≈°“√«‘‡§√“–Àå· ¥ß„Àâ‡ÀÁπ«à“¡“μ√°“√ªí®®ÿ∫—π¡’

ª√– ‘∑∏‘º≈ªÑÕß°—π°“√‡°‘¥¡–‡√Áߪ“°¡¥≈Ÿ°·≈–≈¥°“√‡ ’¬

™’«‘쉥â∂÷ß√âÕ¬≈– 40 ‡¡◊ËÕ‡∑’¬∫°—∫°“√‰¡à¡’¡“μ√°“√ ‚¥¬æ∫

«à“°“√‡æ‘Ë¡§«“¡∂’Ë®“°∑ÿ° 5 ªï ‡ªìπ∑ÿ° 3 ªï ·μà‰¡à¢¬“¬°≈ÿà¡

Õ“¬ÿ ‡ªìπ¡“μ√°“√∑’Ë¡’§«“¡§ÿâ¡§à“ §«√π”¡“æ‘®“√≥“ ‡æ√“–

§“¥«à“®–≈¥®”π«πºŸâªÉ«¬„À¡à‰¥âªï≈–°«à“ 900 √“¬ ·≈–ªÑÕß°—π

°“√‡ ’¬™’«‘μÕ’°ªï≈– 450 √“¬ ‡∑à“°—∫≈¥§«“¡ Ÿ≠‡ ’¬∑“ß

‡»√…∞»“ μ√宓°°“√‡ªìπ¡–‡√Á߉¥âªï≈–°«à“ 1,200 ≈â“π∫“∑

‡¡◊ËÕ‡∑’¬∫°—∫ ∂“π°“√≥åªí®®ÿ∫—π

∑—Èßπ’È ª√–‚¬™πå¢Õß°“√§—¥°√Õß®–‡ÀÁπ™—¥‡®π„π√–¬–

5-10 ªï¢â“ßÀπâ“ ·μà„π™à«ßμâπ¢Õß°“√¢¬“¬§«“¡§√Õ∫§≈ÿ¡

ß“π§—¥°√Õß ®”π«πºŸâ¡’º≈‡´≈≈庑¥ª°μ‘·≈–Õÿ∫—μ‘°“√≥å

¡–‡√Áß®–‡æ‘Ë¡¢÷Èπ√–¬–Àπ÷Ëß Õ—π‡ªìπº≈®“°§«“¡ ”‡√Á®¢Õß°“√

§âπÀ“ºŸâ¡’‡´≈≈庑¥ª°μ‘·≈–«‘π‘®©—¬ ®“°π—Èπ®÷߇¢â“ Ÿà√–¬–§ßμ—«

§◊ÕÕÿ∫—μ‘°“√≥å¡–‡√Áß≈¥≈ß·≈– —¥ à«πºŸâªÉ«¬¡–‡√Áß√–¬–‡√‘Ë¡

μâπμàÕ¡–‡√Áߪ“°¡¥≈Ÿ°∑—ÈßÀ¡¥‡æ‘Ë¡¢÷Èπ

°“√¢¬“¬∫√‘°“√§—¥°√Õß®“°∑ÿ° 5 ªï‡ªìπ∑ÿ° 3 ªï¬—߇ªìπ

‰ª‰¥â¬“°„πªí®®ÿ∫—π‚¥¬‡©æ“–¢âÕ®”°—¥‡√◊ËÕßÕ—μ√“°”≈—ßπ—°

‡´≈≈å«‘∑¬“ Õ—μ√“°”≈—ß§π„πªí®®ÿ∫—π “¡“√∂√Õß√—∫ª√‘¡“≥

ß“π‰¥âæÕ¥’ ·μàÀ“°¡’°“√¢¬“¬‚ª√·°√¡§—¥°√Õ߇ªìπ∑ÿ° 3 ªï

®”‡ªìπμâÕßæ—≤π“Õ—μ√“°”≈—ß§πÕ’° 180 §π À√◊Õ‡∑à“°—∫√âÕ¬≈–

62 ¢Õß®”π«ππ—°‡´≈≈å«‘∑¬“„πªí®®ÿ∫—π

°“√»÷°…“π’È«‘‡§√“–Àå‚¥¬„™â«‘∏’∫Ÿ√≥“°“√√–À«à“ß VIA (30-45 ªï) ·≈–·ªª ‡¡’¬√å (45 ªï¢÷Èπ‰ª) ´÷Ë߇ªìπ¡“μ√°“√∑’Ë

§ÿâ¡§à“¡“°°«à“«‘∏’„¥«‘∏’Àπ÷Ëß ·μà„π∑“ߪؑ∫—μ‘°“√„Àâ∫√‘°“√ VIA

¡’¢âÕ®”°—¥„π ∂“π∫√‘°“√ª∞¡¿Ÿ¡‘·≈–‰¡à§√Õ∫§≈ÿ¡∑ÿ°æ◊Èπ∑’Ë

„πª√–‡∑»‰∑¬ °“√»÷°…“π’È®÷ß∑¥ Õ∫‡æ‘Ë¡‡μ‘¡¿“¬„μâ  ∂“π°“√≥å∑’Ë¡’·ªª ‡¡’¬√凿’¬ßÕ¬à“߇¥’¬«„π∑ÿ°°≈ÿà¡Õ“¬ÿ ¢âÕ  √ÿª‡ªìπ‰ª„π·π«∑“߇¥’¬«°—∫«‘∏’∫Ÿ√≥“°“√ π—Ëπ§◊Õ §«√§ß Õ“¬ÿ¢Õß°≈ÿࡇªÑ“À¡“¬‰«â‡™àπ‡¥‘¡∑’Ë 30-60 ªï ®÷ß®–‡À¡“– ¡

·≈–§ÿâ¡§à“∑’Ë ÿ¥„π∫√‘∫∑¢Õߪ√–‡∑»‰∑¬

Õπ÷Ëß °“√»÷°…“π’ȉ¡à‰¥âæ‘®“√≥“μ—«‡≈◊Õ°°“√§—¥°√Õß«‘∏’Õ◊Ëπ

‡™àπ ·ªª ‡¡’¬√å∑’Ë„™â‡∑§π‘§ liquid-based ·≈–°“√μ√«® HPV DNA ´÷Ëß¡’√“§“§àÕπ¢â“ß Ÿß·≈–¬—߉¡à·æ√àÀ≈“¬„πª√–‡∑»‰∑¬

πÕ°®“°π’È °“√»÷°…“¬—ß¡’¢âÕ®”°—¥„π°“√«‘‡§√“–Àå§«“¡‡ªìπ

‰ª‰¥â¥â“πÕ—μ√“°”≈—ß ‡æ√“–æ‘®“√≥“‡©æ“–°”≈—ß§π„π —ß°—¥

°√–∑√«ß “∏“√≥ ÿ¢ ‰¡à√«¡§π∑’Ë —ß°—¥Àπà«¬ß“π¿“§√—∞Õ◊ËπÊ

¢âÕ¬ÿμ‘

¡“μ√°“√§—¥°√Õß„πªí®®ÿ∫—π¡’§«“¡§ÿâ¡§à“¥â“π ÿ¢¿“æ·≈–

ª√‘¡“≥ß“π ‡À¡“– ¡°—∫Õ—μ√“°”≈—߇®â“Àπâ“∑’Ë„πªí®®ÿ∫—π °“√

¢¬“¬ ‘∑∏‘ª√–‚¬™πå¢Õß°“√§—¥°√Õß¡–‡√Áߪ“°¡¥≈Ÿ°„π√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ·Ààß™“μ‘ ºŸâ°”Àπ¥π‚¬∫“¬μâÕ߇μ√’¬¡°“√

≈à«ßÀπâ“·≈–»÷°…“‡æ‘Ë¡‡μ‘¡„πªí®®—¬Õ◊Ë𠇙àπ √–∫∫∫√‘À“√

®—¥°“√·≈–æ—≤π“∫ÿ§≈“°√„π “¢“∑’ˇ°’ˬ«¢âÕß √–∫∫§«∫§ÿ¡

§ÿ≥¿“æ °“√®—¥°“√¢âÕ¡Ÿ≈Õ¬à“߇ªìπ√–∫∫·≈–‡™◊ËÕ¡μàÕ√–À«à“ß Àπ૬∫√‘°“√μà“ßÊ ‡ªìπμâπ

°‘μμ‘°√√¡ª√–°“»

°“√»÷°…“π’ȇªìπ à«πÀπ÷ËߢÕß ç‚§√ß°“√æ—≤π“™ÿ¥ ‘∑∏‘

ª√–‚¬™πå¥â“π°“√§—¥°√Õß∑“ß ÿ¢¿“æ√–¥—∫ª√–™“°√„π ª√–‡∑»‰∑¬é¿“¬„μâ°“√ π—∫ πÿπß∫ª√–¡“≥®“°  ”π—°ß“π À≈—°ª√–°—π ÿ¢¿“æ·Ààß™“μ‘ ‚¥¬§≥–ºŸâ«‘®—¬®“°‚§√ß°“√

ª√–‡¡‘π‡∑§‚π‚≈¬’·≈–π‚¬∫“¬¥â“π ÿ¢¿“æ (HITAP) ´÷Ë߇ªìπ Õß§å°√∑’ˉ¥â√—∫°“√ π—∫ πÿπ®“° ”π—°ß“π°Õß∑ÿπ π—∫ πÿπ

°“√«‘®—¬ ¿“¬„μâ∑ÿπ‡¡∏’«‘®—¬Õ“«ÿ‚  ‡æ◊ËÕæ—≤π“»—°¬¿“æ°“√

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