<i>Introduction.</i> Patient satisfaction with nursing care is considered as an important factor in explaining patients’ perceptions of service quality. Care assessed to be high quality according to clinical, economic, or other provider-defined criteria is far from ideal if as a result of that care the patient is unhappy or dissatisfied.<i> Objective.</i> The aim of this study was to assess adult patients’ satisfaction with inpatient nursing care and associated factors in Dessie Referral Hospital, Northeast Ethiopia.<i> Methods.</i> Institution based quantitative cross-sectional study was conducted among patients admitted in medical, surgical, orthopedics, gynecology, and ophthalmology wards of the hospital from March 24 to April 30, 2013. All admitted patients who stayed in the study wards for at least two days during the data collection time were interviewed. Newcastle Satisfaction with Nursing Scale questionnaire was used to collect the data and was analyzed using SPSS version 20. Odds ratios with their 95% confidence intervals and <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42943pt" id="M1" height="10.2124pt" version="1.1" viewBox="-0.0498162 -6.78297 7.83752 10.2124" width="7.83752pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g></svg> values in a multiple logistic regression were used to identify factors associated with patient satisfaction with nursing care.<i> Result.</i> The overall patient satisfaction was 52.5%. Respondents’ sex, age, admission ward, self-reported health status, and class of admission were the variables significantly associated with patient satisfaction with nursing care.<i> Conclusion and Recommendation.</i> The rate of patient satisfaction with nursing care was found to be low in this study. Being female, younger age group (18–30 years), good self-reported current health status, being admitted in ophthalmology ward, and first class of admission were significantly associated with better patient satisfaction with nursing care. In-service training programs for nurses, with special emphasis on communication skills, are recommended. 

Kokeb Haile Eyasu

Akilew Awoke Adane

Fisseha Zewdu Amdie

Tesfaye Bisenebit Getahun

Mulunesh Abuhay Biwota

Adult Patients&#x2019; Satisfaction with Inpatient Nursing Care and Associated Factors in an Ethiopian Referral Hospital, Northeast, Ethiopia

<i>Introduction</i>. To produce competent, confident, critical thinker with the ability to lead, to question, and to be questioned is needed in nursing education. This study aimed to assess perceived clinical competence among nursing students.<i> Methods</i>. This cross-sectional study was conducted in two nursing schools in Ethiopia. Data were collected using pretested, semistructured questionnaire. Clinical competence was measured by Short Nursing Competence Questionnaires. Binary logistic regression model was fitted to identify associated factors. An adjusted odds ratio with 95&#x25; confidence interval was computed.<i> Results</i>. Overall, 48.7 &#x25; of the participants perceived themselves as clinically competent. Social support [moderate (AOR = 5.87, CI: 1.346, 9.586), high (AOR = 6.27, CI: 1.741, 7.608)], type of institution [(AOR = 3.20, CI: 1.331, 7.694)], year of study [(AOR = 1.89 (4.760, 18.510)], attending theoretical classes [(AOR = 0.83 CI: 0.017, 0.412)], and clinical environment [poor (AOR = 5.65, CI: 1.837, 13.453), fair (AOR = 7.31, CI: 2.790, 15.356), good (AOR = 9.31, CI: 3.260, 19.967)] were associated with clinical competence.<i> Conclusion</i>. More than half of the study participants perceived themselves as incompetent. Social support, type of institution, year of study, attending theory classes, and clinical environment were associated with perceived clinical competence. Authors suggested that nursing students attend their theoretical class and utilize the available resource.

Berhanu Boru Bifftu

Berihun Assefa Dachew

Bewket Tadesse Tiruneh

Mengistu Mekonnen Kelkay

Netsanet Habte Bayu

Perceived Clinical Competence among Undergraduate Nursing Students in the University of Gondar and Bahir Dar University, Northwest Ethiopia: A Cross-Sectional Institution Based Study

<i>Background.</i> The birth of a preterm infant has a greater risk of developmental disabilities, health, and growth problems than infants born at full term. The main aim of this study was to assess the prevalence and associated factors of preterm birth Northwest Ethiopia, Gondar town health institutions.<i> Methods.</i> Facility based cross section study was undertaken. Systematic sampling was used to select 540 study participants. Both bivariate and multiple logistic regression were fitted. Variables with <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42943pt" id="M1" height="10.2124pt" version="1.1" viewBox="-0.0498162 -6.78297 7.83752 10.2124" width="7.83752pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g></svg> value &lt; 0.05 and 95% CI in multivariate were considered statistically significant.<i> Result.</i> This study showed that 4.4% from the total 540 mothers gave a preterm birth. The covariates of pregnancy induced hypertension (AOR 5.36 (95% CI 1.8, 15.96)) and being HIV positive (AOR 3.4 (95% CI 1.25, 9.2)) were found to be significantly associated with preterm birth.<i> Conclusion.</i> The main factors for preterm birth were pregnancy induced hypertension and being HIV positive. Therefore, still efforts have to be made to decrease the prevalence of preterm birth and for timely management of pregnancy induced hypertension and identifying pregnant women at the risk of preterm delivery like HIV positive women and proving quality of healthcare may decrease the rate of preterm birth and its consequences.

Kahsay Gebreslasie

Preterm Birth and Associated Factors among Mothers Who Gave Birth in Gondar Town Health Institutions

Clinical education is an essential component of the education of nursing students. However clinical nursing education in Ghana is currently facing challenges of poor working relations between hospitals and health training institutions, inadequate preceptor preparations, and inadequate faculty supervisions. Although the dominant clinical education model used in Ghana is the preceptorship model, health service and education industries are faced with challenges of lack of qualified staff, inadequately prepared preceptors, and inadequate supervision from faculty. These challenges undermine the effectiveness of the clinical learning environment and the use of the preceptorship model. The purpose of this paper was to review preceptorship and clinical teaching partnership (CTP) and make recommendations for improving clinical nursing education in Ghana. A literature review was undertaken through a search of databases that included Google Scholar, EBSCOhost, CINAHL, and HINARI. A literature review identified advantages for using clinical teaching partnership (CTP) in clinical nursing education in Ghana. Recommendations were made for the use of CTP in Ghana.

Confidence Alorse Atakro

Janet Gross

Preceptorship versus Clinical Teaching Partnership: Literature Review and Recommendations for Implementation in Ghana

<i>Background</i>. The prevalence of diabetes mellitus (DM) is rising worldwide and is more in the developing countries which unfortunately are already suffering from communicable diseases. The aim of this study was to assess adherence and associated factors towards antidiabetic medication among type II diabetic patients in University of Gondar Hospital, Diabetic Clinic, Gondar, Northwest Ethiopia.<i> Methods</i>. Institutional based cross-sectional study was conducted. Systematic sampling technique was used. Morisky Medication Adherence Scale (MMAS) scores were used for labeling patients as adherent or nonadherent. Data were entered and analyzed using SPSS version 20. To see the association of variables logistic regression with OR and 95&#x25; CI was done.<i> Results</i>. A total of 288 study participants were interviewed with response rate of 100&#x25;. The level of adherence was found to be 85.1&#x25;. Factors found to be significantly associated with antidiabetic medication adherence were level of education (AOR = 14.27, 95&#x25; CI = 3.0, 67.82), duration of diabetes (AOR = 6.10, 95&#x25; CI = 2.03, 18.34), and knowledge about DM and its medications (AOR = 28.05, 95&#x25; CI = 8.96, 87.8).<i> Conclusions and Recommendations</i>. Large proportion of respondents in this study were found to be adherent to their antidiabetic medications. Level of education, duration of diabetes, and knowledge about DM and its medication were significantly associated with antidiabetic medication adherence of patients. Health education including adherence counseling to create awareness towards DM and its medications is mandatory.

Mastewal Abebaw

Anteneh Messele

Mignote Hailu

Fisseha Zewdu

Adherence and Associated Factors towards Antidiabetic Medication among Type II Diabetic Patients on Follow-Up at University of Gondar Hospital, Northwest Ethiopia

<i>Background</i>. Children’s decisions concerning investigation and treatment may be based on the results of temperature alone. Although the accuracy of axillary temperature measurement is affected by a number of factors, device dwell time and device type are common.<i> Objective</i>. Compare body temperature between glass mercury thermometer (GMT) and digital thermometer (DT).<i> Method</i>. Comparative descriptive study was used. A total of 101 samples were taken with convenient sampling technique, but 98 were analyzed. Statistical significance (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42938pt" id="M1" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 44.5261 11.7782" width="44.5261pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><path id="g117-91" d="M512 -3V55L134 254V256L512 456V514L75 281V230L512 -3Z"/></g><g transform="matrix(.013,0,0,-0.013,22.605,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><path id="g113-50" d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"/></g></svg>) and clinical significance (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-1.119809pt" id="M2" height="9.50779pt" version="1.1" viewBox="-0.0498162 -8.38798 51.7421 9.50779" width="51.7421pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g121-75" d="M861 0V28C774 35 771 41 768 147L759 509C756 612 762 614 851 622V650H681L449 149L221 650H57V622C148 613 153 609 144 479L130 271C123 166 117 123 111 88C104 46 85 34 26 28V0H259V28C192 35 169 42 167 90C166 130 166 173 170 256L185 541H187L411 7H431L675 555H679L683 147C683 41 680 35 598 28V0H861Z"/></g><g transform="matrix(.013,0,0,-0.013,11.583,0)"><path id="g121-66" d="M43 650V622C120 616 128 612 128 526V124C128 39 120 33 34 27V0H270C392 0 492 25 567 83C643 141 690 230 690 350C690 444 655 517 605 565C543 625 450 650 323 650H43ZM213 547C213 587 217 598 226 604C236 612 262 617 304 617C371 617 429 604 474 576C554 529 592 439 592 336C592 176 505 36 319 36C246 36 213 55 213 131V547Z"/></g><g transform="matrix(.013,0,0,-0.013,24.77,0)"><path id="g117-94" d="M531 285V335L57 550V494L473 310L57 127V71L531 285ZM531 -40V10H57V-40H531Z"/></g><g transform="matrix(.013,0,0,-0.013,36.033,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,42.273,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,45.237,0)"><path id="g113-51" d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"/></g></svg>°C) were used in the analyses. Correlations and Bland-Altman plots were used to observe agreements of the recording.<i> Results</i>. Mean difference (MD) of 10 min GMT and DT was <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.3499298pt" id="M3" height="8.69875pt" version="1.1" viewBox="-0.0498162 -8.34882 57.1008 8.69875" width="57.1008pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,9.204,0)"><use xlink:href="#g113-50"/></g><g transform="matrix(.013,0,0,-0.013,15.444,0)"><path id="g113-52" d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z"/></g><g transform="matrix(.013,0,0,-0.013,24.59,0)"><path id="g117-37" d="M535 290V340H323V533H265V340H52V290H265V84H323V290H535ZM535 -22V28H52V-22H535Z"/></g><g transform="matrix(.013,0,0,-0.013,35.126,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,41.366,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,44.33,0)"><use xlink:href="#g113-50"/></g><g transform="matrix(.013,0,0,-0.013,50.57,0)"><use xlink:href="#g113-50"/></g></svg>. Statistically significant differences were noted in 10 min GMT and DT (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42938pt" id="M4" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 44.5261 11.7782" width="44.5261pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-49"/></g></svg>). But the correlations were strong positive (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.6370001pt" id="M5" height="8.98582pt" version="1.1" viewBox="-0.0498162 -8.34882 42.2948 8.98582" width="42.2948pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-115" d="M393 379C402 394 400 411 393 422C384 437 365 448 348 448C301 448 237 372 186 285H182L193 335C210 408 205 448 178 448C150 448 80 402 29 344L45 321C80 355 114 373 122 373C128 373 130 365 124 330C106 228 76 98 50 -5L57 -12C82 -5 112 3 132 6L172 203C196 256 234 304 254 329C275 355 293 367 306 367C318 367 330 360 342 348C347 343 355 343 365 350S386 367 393 379Z"/></g><g transform="matrix(.013,0,0,-0.013,9.12,0)"><path id="g117-92" d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z"/></g><g transform="matrix(.013,0,0,-0.013,20.383,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,26.623,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,29.587,0)"><path id="g113-56" d="M447 623H65C61 580 56 530 47 475H76C100 541 106 550 172 550H388C308 376 196 170 91 -1L98 -12L172 -2C268 204 360 408 455 611L447 623Z"/></g><g transform="matrix(.013,0,0,-0.013,35.829,0)"><path id="g113-54" d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"/></g></svg>) and all MD were at the limit of agreement in Bland-Altman plot. Clinically, it is not significant (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.6369991pt" id="M6" height="9.02498pt" version="1.1" viewBox="-0.0498162 -8.38798 51.7421 9.02498" width="51.7421pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g121-75"/></g><g transform="matrix(.013,0,0,-0.013,11.583,0)"><use xlink:href="#g121-66"/></g><g transform="matrix(.013,0,0,-0.013,24.77,0)"><use xlink:href="#g117-91"/></g><g transform="matrix(.013,0,0,-0.013,36.033,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,42.273,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,45.237,0)"><use xlink:href="#g113-51"/></g></svg>°C).<i> Conclusion and Recommendations</i>. Even though statistical significant differences (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42938pt" id="M7" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 50.7895 11.7782" width="50.7895pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,44.289,0)"><use xlink:href="#g113-50"/></g></svg>) were noted between 10 min GMT and DT, the strong correlation, good agreements, and clinical insignificances make DT good alternative to the traditional GMT. Their variation in temperature is not likely to change any clinical decision. So, health professionals should use DT for measuring body temperature in under-5 febrile illnesses.

Hadgu Gerensea

Rajalakshmi Murugan

Is There Significant Difference between Digital and Glass Mercury Thermometer?

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Advances in Nursing