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Journal of Health Science 2009 Vol. 18 No. 5

758

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∑”≈“¬¢âÕ¡Ÿ≈‚¥¬‰¡àπ”¡“‡º¬·æ√à ºŸâ„Àâ¢âÕ¡Ÿ≈¡’ ‘∑∏‘Ï∫Õ°

‡≈‘°°“√‡¢â“√à«¡«‘®—¬‰¥âµ≈Õ¥‡«≈“‚¥¬‰¡à¡’º≈°√–∑∫„¥ Ê

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1. „™â ∂‘µ‘‡™‘ßæ√√≥π“«‘‡§√“–Àå¢âÕ¡Ÿ≈∑—Ë«‰ª¢Õß

°≈ÿà¡µ—«Õ¬à“ß ‚¥¬À“§à“§«“¡∂’Ë √âÕ¬≈– §à“‡©≈’Ë¬·≈–

à«π‡∫’Ë¬ß‡∫π¡“µ√∞“π

2. «‘‡§√“–Àå√–¥—∫°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ∑—Èß‚¥¬√«¡·≈–√“¬¥â“π ‚¥¬

„™â§à“‡©≈’Ë¬ ·≈– à«π‡∫’Ë¬ß‡∫π¡“µ√∞“π

3. „™â ∂‘µ‘‡™‘ßÕâ“ßÕ‘ß«‘‡§√“–Àåªí®®—¬∑’Ë¡’º≈µàÕ°“√

µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß

§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ‚¥¬„™â ∂‘µ‘«‘‡§√“–Àå∂¥∂Õ¬‡™‘ßæÀÿ·∫∫‡¢â“æ√âÕ¡ Ê °—π (En- ter Multiple Regression Analysis)

º≈°“√»÷°…“

¢âÕ¡Ÿ≈ à«π∫ÿ§§≈ æ∫«à“ §≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ à«π„À≠à¡’Õ“¬ÿ√–À«à“ß 41-50 ªï (42.17%) ¡’Õ“¬ÿ‡©≈’Ë¬ 42.92 (σ 7.44) à«π„À≠à¡’

µ”·Àπàß„π™ÿ¡™π®”π«ππâÕ¬°«à“ 5 µ”·Àπàß (69.28%)

¡’ª√–™“°√„π§«“¡√—∫º‘¥™Õ∫µË”°«à“ 10,000 §π (71.69%) ¥—ßµ“√“ß∑’Ë 1

¢âÕ¡Ÿ≈ª√– ∫°“√≥åœ æ∫«à“ §≥–°√√¡°“√

∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ ¡’√–¬–‡«≈“°“√

ªØ‘∫—µ‘ß“π‡ªìπ§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æÕ¬Ÿà„π™à«ß 13-24 ‡¥◊Õπ (83.13%) √–¬–‡«≈“

°“√ªØ‘∫—µ‘ß“π‡©≈’Ë¬ 20.36 ‡¥◊Õπ (σ 4.65) à«π„À≠à

‡ÀÁπ«à“®”π«π¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°

ª√–°—π ÿ¢¿“æ¡’§«“¡‡æ’¬ßæÕ (74.10%) °“√‰¥â√—∫

¢âÕ¡Ÿ≈¢à“« “√‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫

∑âÕß∂‘Ëπ¢Õßª√–™“°√‡ªÑ“À¡“¬ Õ¬Ÿà„π√–¥—∫πâÕ¬¡“°∑’Ë ÿ¥

(4)

µ“√“ß∑’Ë 1 ¢âÕ¡Ÿ≈ à«π∫ÿ§§≈¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ (N=166)

¢âÕ¡Ÿ≈ à«π∫ÿ§§≈ ®”π«π √âÕ¬≈–

Õ“¬ÿ (ªï)

< 40 67 40.36

41-50 70 42.17

> 51 29 17.47

µ 42.92; _σ 7.44 (min 26; max 61)

®”π«πµ”·Àπàß„π™ÿ¡™π

≤ 5 115 69.28

6-10 35 21.08

11-15 15 9.04

≥ 16 1 0.60

µ 4.85; σ 3.21 (min 1; max 16)

®”π«πª√–™“°√„π§«“¡√—∫º‘¥™Õ∫ (§π)

5,000 - 10,000 119 71.69

¡“°°«à“ 10,000 47 28.31

µ 8616.25; _σ 2831.91 (min 5469; max 14160)

µ“√“ß∑’Ë 2 ª√– ∫°“√≥å°“√¥”‡π‘πß“π°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ (N=166)

¢âÕ¡Ÿ≈ª√– ∫°“√≥åœ ®”π«π √âÕ¬≈–

√–¬–‡«≈“°“√ªØ‘∫—µ‘ß“π (‡¥◊Õπ)

1 - 12 28 16.87

13 - 24 138 83.13

µ 20.36; _σ 4.65 (min 10; max 24)

§«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√œ

‡æ’¬ßæÕ 123 74.10

‰¡à‡æ’¬ßæÕ 43 25.90

°“√‰¥â√—∫¢âÕ¡Ÿ≈¢à“« “√‡°’Ë¬«°—∫°Õß∑ÿπœ

πâÕ¬∑’Ë ÿ¥ 17 10.2

πâÕ¬ 75 45.2

¡“° 73 44.0

¡“°∑’Ë ÿ¥ 1 0.6

µ 2.35; σ 0.67 (min 1; max 4)

·À≈àß¢âÕ¡Ÿ≈¢à“« “√ (µÕ∫‰¥â¡“°°«à“ 1 ¢âÕ) Àπ—ß ◊Õ§Ÿà¡◊ÕÀ≈—°ª√–°—πœ

ÿ¢¿“æ·Ààß™“µ‘ 120 72.3

®¥À¡“¬¢à“« ç ª ™é “√ 105 63.3

‡Õ° “√ ç‡®“–ª√–‡¥ÁπÀ≈—°ª√–°—π ÿ¢¿“æé 72 43.4 π‘∑√√»°“√∑’Ë®—¥„π®—ßÀ«—¥ À√◊Õ„πæ◊Èπ∑’Ë 32 19.3

¢à“«∑“ß ∂“π’«‘∑¬ÿ/‚∑√∑—»πå 85 51.2 Õ‘π‡µÕ√å‡πÁµ www.nhso.go.th 28 16.9

°“√ª√–™“ —¡æ—π∏åºà“π∑“ß

‡ ’¬ßµ“¡ “¬/ÀÕ°√–®“¬¢à“«„πæ◊Èπ∑’Ë 27 16.3

(45.2%) ‚¥¬‰¥â√—∫¢âÕ¡Ÿ≈¢à“« “√‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπºà“π∑“ß ◊ËÕ Àπ—ß ◊Õ§Ÿà¡◊Õ À≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¡“°∑’Ë ÿ¥ √âÕ¬≈– 72.3

¥—ßµ“√“ß∑’Ë 2

2. √ – ¥— ∫ ° “ √ µ Õ ∫ π Õ ß ° Õ ß ∑ÿ π À ≈— ° ª √ – °— π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ„π®—ßÀ«—¥°√–∫’Ë

æ∫«à“ ª√–™“°√‡ªÑ“À¡“¬¡’§–·ππ‡©≈’Ë¬°“√µÕ∫

πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ„π¿“æ√«¡

Õ¬Ÿà„π√–¥—∫¡“° (µ 2.34; σ 0.40) ‡¡◊ËÕæ‘®“√≥“√“¬¥â“π æ∫«à“ §à“‡©≈’Ë¬°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘ËπÕ¬Ÿà„π√–¥—∫¡“° 2 ¥â“π ‡√’¬ßµ“¡

≈”¥—∫ ‰¥â·°à °“√µÕ∫ πÕß¥â«¬°“√¬Õ¡√—∫ (_µ 2.53; _σ 0.43) °“√µÕ∫ πÕß¥â«¬§«“¡‡µÁ¡„® (µ 2.28; σ 0.52) à«π§à“‡©≈’Ë¬°“√µÕ∫ πÕß¥â«¬§«“¡æ÷ßæÕ„®Õ¬Ÿà„π

√–¥—∫ª“π°≈“ß (_µ 2.20; _σ 0.47) ¥—ßµ“√“ß∑’Ë 3 ªí®®—¬∑’Ë¡’º≈µàÕ°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ„π®—ßÀ«—¥°√–∫’Ë æ∫«à“ µ—«·ª√

Õ‘ √–∑—Èß 3 µ—« “¡“√∂√à«¡°—π∑”π“¬°“√µÕ∫ πÕß

°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ‰¥â§àÕπ¢â“ß¡“°

(5)

760

√âÕ¬≈– 51 (adjusted R² 0.51) ‡¡◊ËÕ‡√’¬ß≈”¥—∫

—¡ª√– ‘∑∏‘ÏÕ”π“®°“√∑”π“¬ (adjusted R²) ¢Õß µ—«·ª√Õ‘ √–∑’Ë¡’Õ‘∑∏‘æ≈µàÕµ—«·ª√µ“¡¡’¥—ßπ’È °“√√—∫√Ÿâ ª√–‚¬™πå‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß

∂‘Ëπ ‡ªìπµ—«·ª√∑’Ë “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π¢Õß

§–·ππ°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫

∑âÕß∂‘Ëπ‰¥â¡“°∑’Ë ÿ¥ √âÕ¬≈– 47 °“√√—∫√Ÿâ∫∑∫“∑¢Õß

§ ≥ – ° √ √ ¡ ° “ √ ∫ √‘ À “ √ √ – ∫ ∫ À ≈— ° ª √ – °— π ÿ ¢ ¿ “ æ “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π¢Õß§–·ππ°“√µÕ∫

πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ‰¥â√âÕ¬≈–

3 ·≈– §«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π¢Õß

∑âÕß∂‘Ëπ‰¥â√âÕ¬≈– 1 Õ¬à“ß¡’π—¬ ”§—≠∑“ß ∂‘µ‘ (p<0.05)

¥—ßµ“√“ß∑’Ë 4

«‘®“√≥å

√–¥—∫°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ

√–¥—∫∑âÕß∂‘Ëπ æ∫«à“ §≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°

ª√–°—π ÿ¢¿“æ¡’§à“‡©≈’Ë¬°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ„π¿“æ√«¡ Õ¬Ÿà„π√–¥—∫¡“°

(_µ 2.34; _σ 0.40) °“√µÕ∫ πÕß®–‡ªìπ‰ª„π∑‘»∑“ß

·≈–≈—°…≥–„¥¢÷ÈπÕ¬Ÿà°—∫°“√√—∫√Ÿâ §à“π‘¬¡ §«“¡µâÕß°“√

∂“π¿“æ∑“ß‡»√…∞°‘®·≈– —ß§¡ ·≈–¿“«–·«¥≈âÕ¡

∑’Ë‡°’Ë¬«¢âÕß√«¡∑—Èß§«“¡∂’Ë¢Õß ‘Ëß‡√â“∑’Ë∑”Àπâ“∑’Ë°√–µÿâπ⁽⁴⁾

‡¡◊ËÕæ‘®“√≥“√“¬¥â“π µ“¡Õß§åª√–°Õ∫¢Õß·§√∏‚«≈å

·≈–§≥– §◊Õ °“√µÕ∫ πÕß¥â«¬°“√¬Õ¡√—∫ (acquies- cence in responding) æ∫«à“ ¡’§–·ππ‡©≈’Ë¬Õ¬Ÿà„π

√–¥—∫¡“° (µ 2.53; σ 0.43) Õ¥§≈âÕß°—∫°“√»÷°…“⁽⁹⁾

∑’Ëæ∫«à“ ª√–™“°√‡ªÑ“À¡“¬¬Õ¡√—∫«à“°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¡’‡ªÑ“À¡“¬°“√¥”‡π‘πß“π

‡À¡“– ¡√–¥—∫¡“° ·≈–°“√ªØ‘∫—µ‘µ“¡°Æ√–‡∫’¬∫¢Õß

µ“√“ß∑’Ë 3 √–¥—∫°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õßª√–™“°√‡ªÑ“À¡“¬

§–·ππ

°“√µÕ∫ πÕß°Õß∑ÿπœ

µµµµµ σσσσσ √–¥—∫°“√µÕ∫ πÕß

°“√µÕ∫ πÕß¥â«¬°“√¬Õ¡√—∫ 2.53 0.43 ¡“°

°“√µÕ∫ πÕß¥â«¬§«“¡‡µÁ¡„® 2.28 0.52 ¡“°

°“√µÕ∫ πÕß¥â«¬§«“¡æ÷ßæÕ„® 2.20 0.47 ª“π°≈“ß

√«¡ 2.34 0.40 ¡“°

µ“√“ß∑’Ë 4 §à“ —¡ª√– ‘∑∏‘Ï À —¡æ—π∏åæÀÿ§Ÿ≥√–À«à“ßªí®®—¬∑”π“¬°—∫°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–

°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ

µ—«·ª√Õ‘ √– B B adjusted R² R² F P

°“√√—∫√Ÿâª√–‚¬™πå¢Õß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ 2.06 0.54 0.47 0.47 150.88 0.00

°“√√—∫√Ÿâ∫∑∫“∑¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ 0.77 0.21 0.50 0.03 84.92 0.00

§«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ -3.09 -0.11 0.51 0.01 59.19 0.04

Constant = 42.95 SE_B = 3.43

(6)

Õß§å°“√ °“√¬Õ¡√—∫Õ¬à“ß¡’‡Àµÿº≈¢Õß∫ÿ§§≈µàÕ π‚¬∫“¬¢ÕßÕß§å°“√ ·≈–°“√ πÕßµÕ∫°Æ√–‡∫’¬∫

¢ÕßÕß§å°“√ ∂◊Õ‡ªìπÕß§åª√–°Õ∫Õ¬à“ßÀπ÷Ëß¢Õßæƒµ‘°√√¡

°“√‡ªìπ ¡“™‘°∑’Ë¥’¢ÕßÕß§å°“√⁽⁷⁾ °“√¬Õ¡√—∫µ—«·∑π

§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ ‡π◊ËÕß®“°

¡’Õß§åª√–°Õ∫¢ÕßºŸâ·∑π®“°¿“§ à«πµà“ß Ê ∑’Ë‡°’Ë¬«¢âÕß

„π —¥ à«π∑’Ë„°≈â‡§’¬ß°—π §√Õ∫§≈ÿ¡„π∑ÿ°¿“§ à«π∑’Ë

‡°’Ë¬«¢âÕß°—∫‡√◊ËÕß ÿ¢¿“æ·≈–¥â«¬ª√– ∫°“√≥å∑’ËÀ≈“°

À≈“¬¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ

¥—ß°≈à“«®– àßº≈„Àâ°“√¥”‡π‘πß“π°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¡’§«“¡ Õ¥§≈âÕß°—∫ ¿“æ§«“¡

‡ªìπ®√‘ß·≈–‡ªìπ∑’Ë¬Õ¡√—∫¢Õßª√–™“™π¡“°¬‘Ëß¢÷Èπ Õ¥§≈âÕß°—∫°“√»÷°…“‡√◊ËÕß°“√ª√–‡¡‘πº≈°“√∫√‘À“√

ß“πÀ≈—°ª√–°—π ÿ¢¿“æºà“π°≈‰°§≥–Õπÿ°√√¡°“√

À≈—°ª√–°—π ÿ¢¿“æ√–¥—∫®—ßÀ«—¥⁽⁹⁾ æ∫«à“ §≥–- Õπÿ°√√¡°“√À≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑’Ë‡ªìπºŸâ·∑π®“°

Àπà«¬ß“πµ“¡∑’Ë°”Àπ¥‰«âπ—Èπ¡’§«“¡‡À¡“– ¡ (88.6%)

„π°“√∫√‘À“√ß“πÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫®—ßÀ«—¥„Àâ¡’

ª√– ‘∑∏‘¿“æ‰¥â‡π◊ËÕß®“°‡ªìπ®”π«π∑’Ë‡æ’¬ßæÕ°—∫¿“√–

ß“π ·≈–¡’§«“¡§≈àÕßµ—«„π°“√∑”ß“π

°“√µÕ∫ πÕß¥â«¬§«“¡‡µÁ¡„® (willingness to respond) ‡ªìπ√–¥—∫§«“¡√Ÿâ ÷°¢—Èπ√à«¡°‘®°√√¡¥â«¬

§«“¡µ—Èß„® §«“¡√à«¡¡◊Õ∑”µ“¡§«“¡µâÕß°“√À√◊Õ

§«“¡ ¡—§√„® ¡’§–·ππ‡©≈’Ë¬Õ¬Ÿà„π√–¥—∫¡“° (_µ2.28;

σ 0.52) ‚¥¬¢âÕ∑’Ë¡’§–·ππ‡©≈’Ë¬„π à«ππ’ÈπâÕ¬∑’Ë ÿ¥ §◊Õ

°“√‡µÁ¡„® π—∫ πÿπ ·√ßß“π ‘Ëß¢Õß À√◊Õ‡ß‘π∑ÿπ„Àâ·°à

°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ ‡π◊ËÕß ¿“«–

‡»√…∞°‘®„πªí®®ÿ∫—π·≈–¿“√–§à“§√Õß™’æ∑’Ë¡’Õ—µ√“ Ÿß

¢Õß®—ßÀ«—¥°√–∫’Ë Õ“®¡’º≈„Àâ§≥–°√√¡°“√∫√‘À“√

§«“¡æ÷ßæÕ„® (satisfaction in responding) ¡’§–·ππ

‡°‘¥°“√µÕ∫ πÕß¥â«¬§«“¡æ÷ßæÕ„®„π√–¥—∫¡“°¬‘Ëß¢÷Èπ

§«√æ—≤π“„π¥â“π°“√¥”‡π‘π°‘®°√√¡¢Õß°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ„Àâ¡’§«“¡µàÕ‡π◊ËÕß·≈–

‡ªìπ‰ªÕ¬à“ß ¡Ë”‡ ¡Õ ·≈–§«√ π—∫ πÿπ„Àâ‡º¬·æ√à ª√–™“ —¡æ—π∏å¢âÕ¡Ÿ≈¢à“« “√‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ¿“¬„π™ÿ¡™π¡“°¬‘Ëß¢÷Èπ

ªí®®—¬∑’Ë¡’º≈µàÕ°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ æ∫«à“ °“√√—∫√Ÿâª√–‚¬™πå‡°’Ë¬«°—∫

°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ °“√√—∫√Ÿâ

∫∑∫“∑¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ ·≈–§«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ ‰¥â√—∫°“√§—¥‡≈◊Õ°‡¢â“ ¡°“√

‚¥¬µ—«·ª√Õ‘ √–∑—Èß 3 µ—« “¡“√∂√à«¡°—π∑”π“¬°“√

µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ‰¥â

§àÕπ¢â“ß¡“° √âÕ¬≈– 51 (adjusted R² 0.51) ‡¡◊ËÕ

‡√’¬ß≈”¥—∫ —¡ª√– ‘∑∏‘ÏÕ”π“®°“√∑”π“¬ (adjusted R²)

¢Õßµ—«·ª√Õ‘ √–∑’Ë¡’Õ‘∑∏‘æ≈µàÕµ—«·ª√µ“¡¡’¥—ßπ’È °“√

√—∫√Ÿâª√–‚¬™πå‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫

∑âÕß∂‘Ëπ ‡ªìπµ—«·ª√∑’Ë “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π

¢Õß§–·ππ°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ

√–¥—∫∑âÕß∂‘Ëπ‰¥â¡“°∑’Ë ÿ¥ √âÕ¬≈– 47 °“√√—∫√Ÿâ∫∑∫“∑

¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π¢Õß§–·ππ°“√µÕ∫

πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ‰¥â√âÕ¬≈–

3 ·≈– §«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√∫√‘À“√√–∫∫

À≈—°ª√–°—π ÿ¢¿“æ “¡“√∂Õ∏‘∫“¬§«“¡·ª√ª√«π¢Õß

∑âÕß∂‘Ëπ‰¥â√âÕ¬≈– 1 Õ¬à“ß¡’π—¬ ”§—≠∑“ß ∂‘µ‘ (p <0.05)

‚¥¬°“√√—∫√Ÿâª√–‚¬™πå‡°’Ë¬«°—∫°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ ·≈–°“√√—∫√Ÿâ∫∑∫“∑¢Õß§≥–

°√√¡°“√∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ ¡’Õ‘∑∏‘æ≈

¥â“π∫«°µàÕ°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ

√–¥—∫∑âÕß∂‘Ëπ à«π§«“¡‡æ’¬ßæÕ¢Õß§≥–°√√¡°“√

∫√‘À“√√–∫∫À≈—°ª√–°—π ÿ¢¿“æ¡’Õ‘∑∏‘æ≈¥â“π≈∫µàÕ

°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ

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762

¢âÕ‡ πÕ·π–„π°“√π”º≈ß“π«‘®—¬‰ª„™â

ºŸâ∑’Ë‡°’Ë¬«¢âÕß°—∫°“√¥”‡π‘πß“π°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ§«√®—¥Õ∫√¡À≈—° Ÿµ√°“√æ—≤π“

·≈–‡ √‘¡ √â“ß»—°¬¿“æ„Àâ·°à§≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ„πæ◊Èπ∑’Ë„π¥â“π§«“¡√Ÿâ‡°’Ë¬«°—∫

ª√–‚¬™πå¢Õß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ

°“√√—∫√Ÿâ∫∑∫“∑ °“√·µàßµ—Èß·≈–§—¥‡≈◊Õ°µ—«·∑π‡¢â“¡“

¥”√ßµ”·Àπàß‚¥¬‡πâπ„Àâºà“π°“√∑”ª√–™“§¡„πæ◊Èπ∑’Ë

¢âÕ‡ πÕ·π–„π°“√∑”«‘®—¬§√—ÈßµàÕ‰ª

1. °“√»÷°…“§√—Èßπ’Èµ—«·ª√Õ‘ √–∑’Ë‡¢â“ ¡°“√¡’

Õ”π“®„π°“√∑”π“¬‡æ’¬ß√âÕ¬≈– 51 · ¥ß„Àâ‡ÀÁπ«à“

¬—ß¡’µ—«·ª√Õ‘ √–Õ◊Ëπ Ê ∑’Ë “¡“√∂∑”π“¬°“√µÕ∫

πÕß°Õß∑ÿπÀ≈—°ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘ËπÕ’°√âÕ¬≈–

49 ¥—ßπ—Èπ®÷ß§«√∑∫∑«π·≈–»÷°…“µ—«·ª√Õ◊Ëπ‡æ‘Ë¡‡µ‘¡ ‡™àπ Õ”π“®„π°“√µ—¥ ‘π„® §«“¡√Ÿâ ÷° ¡’§ÿ≥§à“„πµπ‡Õß ¿“«–

ºŸâπ” ·≈–°“√¡’ à«π√à«¡

2. æ—≤π“‡§√◊ËÕß¡◊Õ«—¥°“√µÕ∫ πÕß°Õß∑ÿπÀ≈—°

ª√–°—π ÿ¢¿“æ√–¥—∫∑âÕß∂‘Ëπ¢Õß§≥–°√√¡°“√∫√‘À“√

√–∫∫À≈—°ª√–°—π ÿ¢¿“æ‚¥¬„™â‡∑§π‘§°“√æ—≤π“

‡§√◊ËÕß¡◊Õ·∫∫ Factor Analysis

3. §«√‡≈◊Õ°«‘∏’°“√«‘‡§√“–Àå∂¥∂Õ¬„Àâ‡À¡“– ¡

°—∫µ—«·ª√Õ‘ √–∑’Ëπ”¡“»÷°…“ À“°µ—«·ª√Õ‘ √–∑’Ëπ”¡“

»÷°…“¡’º≈°“√«‘®—¬¬◊π¬—π·πà™—¥ §«√‡≈◊Õ°„™â°“√

«‘‡§√“–Àå∂¥∂Õ¬·∫∫‡¢â“æ√âÕ¡ Ê °—π ·µà∂â“µ—«·ª√

Õ‘ √–¬—ß¡’°“√«‘®—¬‰¡à§√Õ∫§≈ÿ¡„π‡√◊ËÕß∑’Ë»÷°…“ §«√„™â

°“√«‘‡§√“–Àå∂¥∂Õ¬·∫∫¢—ÈπµÕπ (stepwise regression)

°‘µµ‘°√√¡ª√–°“»

¢Õ¢Õ∫§ÿ≥ ºŸâ™à«¬»“ µ√“®“√¬å ¥√. · ßÕ√ÿ≥ Õ‘ √–-

¡“≈—¬ ¥√. ∑—πµ·æ∑¬å«‘√—µπå ‡Õ◊ÈÕßæŸ≈ «— ¥‘Ï ·≈–√Õß-

»“ µ√“®“√¬å ¥√. Õ“§¡ „®·°â« ∑’Ë„Àâ§«“¡√Ÿâ §”ª√÷°…“ µ√«®

Õ∫·°â ‰¢¢âÕ∫°æ√àÕßµà“ß Ê ∑’Ë‡ªìπª√–‚¬™πåµàÕß“π«‘®—¬

·≈–¢Õ¢Õ∫§ÿ≥ π“¬·æ∑¬å ÿ¿—∑√ Œ“ ÿ«√√≥°‘® ºŸâ™à«¬-

‡Õ° “√Õâ“ßÕ‘ß

1. ”π—°ß“πÀ≈—°ª√–°—π ÿ¢¿“æ·Ààß™“µ‘. §Ÿà¡◊Õ√–∫∫À≈—°

ª√–°—π ÿ¢¿“æ„π√–¥—∫∑âÕß∂‘ËπÀ√◊Õæ◊Èπ∑’Ë. æ‘¡æå§√—Èß∑’Ë 2.

°√ÿß‡∑æ¡À“π§√: ∂“∫—π™ÿ¡™π∑âÕß∂‘Ëπæ—≤π“; 2549.

2. Õÿ‰√ ¡—§√°“√. ·π«∑“ß°“√ √â“ßÀ≈—°ª√–°—π ÿ¢¿“æ∂â«π À πâ “ µ “ ¡ § « “ ¡ §‘ ¥ ‡ ÀÁ π ¢ Õ ß ª √ – ™ “ ™ π „ π ®— ß À «— ¥ ¿Ÿ ‡ °Á µ [«‘∑¬“π‘æπ∏åª√‘≠≠“«‘∑¬“»“ µ√¡À“∫—≥±‘µ]. “¢“°“√

«‘®—¬·≈–æ—≤π“√–∫∫ ÿ¢¿“æ, ∫—≥±‘µ«‘∑¬“≈—¬. ß¢≈“:

¡À“«‘∑¬“≈—¬ ß¢≈“π§√‘π∑√å; 2545.

3. Krathwohl DR, Bloom BS, Masia BB. Taxonomy of educational objectives. Handbook II affective domain.

New York: David Mckey; 1964.

4. Rogers EM. Diffusion of innovation. 3rd ed. New York:

The Free Press; 1983.

5. ª√’¬“æ√ «ß»åÕπÿµ√‚√®πå. ®‘µ«‘∑¬“°“√∫√‘À“√ß“π∫ÿ§§≈.

°√ÿß‡∑æ¡À“π§√: æ‘¡æå¥’; 2544.

6. Orem DE. Nursing: concept of practice. 6th ed. St.

Louis, MO: Mosby; 2001.

7. ‘√¿—∑√ ®—π∑ ‘‚√. ªí®®—¬∑’Ë¡’º≈µàÕæƒµ‘°√√¡°“√‡ªìπ ¡“™‘°∑’Ë

¥’¢ÕßÕß§å°“√¢Õß‡®â“Àπâ“∑’Ë ∂“π’Õπ“¡—¬®—ßÀ«—¥π√“∏‘«“

[«‘∑¬“π‘æπ∏å«‘∑¬“»“ µ√¡À“∫—≥±‘µ]. “¢“«‘™“°“√«‘®—¬

·≈–æ—≤π“√–∫∫ ÿ¢¿“æ, ∫—≥±‘µ«‘∑¬“≈—¬. ß¢≈“:

¡À“«‘∑¬“≈—¬ ß¢≈“π§√‘π∑√å; 2549.

8. ª“√‘™“µ‘ «≈—¬‡ ∂’¬√, æ√–¡À“ ÿ∑‘µ¬å Õ∫Õÿàπ, À—∑¬“ «‘‡»…,

®—π∑π“ ‡∫≠®∑√—æ¬å, ™≈°“≠®πå Œ“´—ππ“√’. æ‘¡æå§√—Èß∑’Ë 2.

°√–∫«π°“√·≈–‡∑§π‘§°“√∑”ß“π¢Õßπ—°æ—≤π“. °√ÿß‡∑æ-

¡À“π§√: Õÿ…“; 2546.

9. «‘π—¬ ≈’ ¡‘∑∏‘Ï, ª√–¿“æ√√≥ ÕÿàπÕ∫. °“√ª√–‡¡‘πº≈°“√

∫√‘À“√ß“πÀ≈—°ª√–°—π ÿ¢¿“æºà“π°≈‰°§≥–Õπÿ°√√¡°“√

À≈—°ª√–°—π ÿ¢¿“æ√–¥—∫®—ßÀ«—¥. ππ∑∫ÿ√’: ”π—°ß“π«‘®—¬

‡æ◊ËÕ°“√æ—≤π“À≈—°ª√–°—π ÿ¢¿“æ‰∑¬; 2548.

10. ≈¥“«—≈¬å ª√–∑’ª™—¬°Ÿ√. ‡Õ° “√§” Õπ√“¬«‘™“∑ƒ…Æ’°“√

æ¬“∫“≈. §≥–æ¬“∫“≈»“ µ√å: ¡À“«‘∑¬“≈—¬ ß¢≈“π§√‘π∑√å;

2545.

11. Allport GW. Pattern and growth in personality. New York: Holt. Rinehart & Winston; 1968.

12. ª√’™“ Õÿª‚¬§‘π, Õ¿‘ ¡ Õ‘π∑√≈“«—≥¬å, ∏—π«“ ‡Õ’Ë¬¡ß“¡.

∂“π°“√≥å·≈–‡ß◊ËÕπ‰¢°“√°√–®“¬Õ”π“®¥â“π ÿ¢¿“æ„π

∑âÕß∂‘Ëπ °√≥’»÷°…“®—ßÀ«—¥‡™’¬ß„À¡à. ‡™’¬ß„À¡à: ¡À“«‘∑¬“≈—¬

·¡àøÑ“À≈«ß; 2547.

»“ µ√“®“√¬å ¥√. Õÿ¡“æ√ ªÿ≠≠‚ æ√√≥ ºŸâ∑√ß§ÿ≥«ÿ≤‘∑’Ë

°√ÿ≥“µ√«® Õ∫§«“¡µ√ß¥â“π‡π◊ÈÕÀ“¢Õß‡§√◊ËÕß¡◊Õ∑’Ë„™â„π

°“√«‘®—¬

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13. æ«ß√—µπå ∫ÿ≠≠“πÿ√—°…å. °“√®—¥°“√∑√—æ¬“°√∑“ß°“√æ¬“∫“≈

∑’Ë¡ÿàßµâπ∑ÿπµàÕª√– ‘∑∏‘º≈. «“√ “√§ÿ≥¿“æ°“√æ¬“∫“≈ 2548;

1(1):3-23.

14. Green LW, Kreuter MW. Health promotion planning:

an education and ecological approach. 3rd ed. Moun-

Abstract Factors Affecting Responsiveness to the Fund of the Local Health Security Committee in Krabi Province

Piyanuch Nuaon*, Phetnoi Singchangchai**, Savitree Limchaiaroonrueng**

*Ban Chong Phree Health Office, Muaeng District, Krabi Province, **Department of Nursing, Prince of Songkhla University

Journal of Health Science 2009; 18:756-63.

This analytical research was aimed at investigating responsiveness to the fund of local health security committee, and exploring factors affecting responsiveness of local health security committee in Krabi Province, targeting the population of 166. Data collection was performed using a questionnaire. The content validity of the questionnaire was tested by three experts. Its reliability was evaluated using Kuder-Richardson yielding a value of 0.97, Cronbach’s alpha coefficients of 0.92, 0.86 and 0.98. Descriptive statistics, (frequency, percentage, mean, and standard deviation) and Enter multiple regression analysis were employed in data analysis.

The results of this study revealed that responsiveness to the fund of local health security committee in Krabi Province was at a high level (µ 2.34; σ 0.40), The target population’s percieved benefit of local health security, percieved role of committee and the sufficiency of the number of committee were three factors that affected responsiveness of local health security committee and collectively predicted 51 percent of its variance (adjusted R² 0.51) (p < 0.05). In addition, percieved benefit of local health security fund was found to be the best predictor of the committee’s responsiveness (47%).

Recommendations to the administrator are to provide a training course about “potentiality development” or “empowerment” about percieved benefit and percieved role for local health security committee, and to publicize through various medias on selection of area representative by com- munity to be a member of the committee.

Key words: reponsiveness, Local Health Security Fund, Local Health Security Committee

tain view: Mayfield; 1999.

15. Pedhazur EJ, Schmelkin LP. Measurement, design and analysis: an integrated approach. Hillsdale, N.J.:

Lawrence Erlbaum; 1991.