Assessing the quality of services at an academic library.

Customers usually have high expectations on the services they receive. The LibQUAL model was employed in this study to investigate the quality of services at an academic library. The participants were chosen from the five colleges in a university using simple random sampling. Two hundred participants were chosen from each college. In all, 1000 participants (including faculty members, postgraduate and undergraduate students) were selected for the study. The study revealed that users knew and used the library's services. The researchers delivered the questionnaires to the respondents at the library. The results showed that the library service quality (LSQ) fell short of users' expectations. There was a statistically significant difference in LSQ between gender of users. The users' expectations of the library's level of service were out of sync or mismatch. The variations could be attributed to differences in information needs of users. This requires the library to assess its services from users' perspective regularly. The use of the LibQUAL model provides useful information that library management can employ for developing service quality measurement scale and planning for service quality. The study also provides information about services that needs improvement, so that library staff could manage users' expectations and satisfaction in a better way. University authorities expect good return of investment made into the development of the library. Therefore, libraries should improve upon their services to boost the image of the Universities.

Quality of care in the EsSalud emergency service, northern Region, Peru.

This study explores the user's quality of medical attention. The aim was to analyze the quality-of-care indicators in the EsSalud emergency service of the hospitals of the Lambayeque Juan Aita Valle Healthcare Network, according to the perceptions and expectations of the patients. The research has a descriptive, correlational, cross-sectional design, which includes the description, registration, analysis, and interpretation of the current nature of the quality of emergency medical care in the selected hospital institutions. The population is represented by patients who attended the emergency department of the hospital institution's understudy for one month. The sample was obtained using a simple random system. The technique used was the application of Servqual Quality of Emergency Care questionnaire. The instrument consisted of three parts, General Data, Expectations of the External User, and Perceptions of the External User. All statistical tests were processed using SPSS v.25 through the T-test of means. Higher customer dissatisfaction was revealed with regard to intangibility, lack of security, lack of reliability, and lack of empathy towards the user. User expectations and perceptions regarding the health service quality are also marked by dissatisfaction and great dissatisfaction.

Information Resources Among Flemish Pregnant Women: Cross-sectional Study.

BACKGROUND: There has been an exponential growth in the availability of apps, resulting in increased use of pregnancy apps. However, information on resources and use of apps among pregnant women is relatively limited. OBJECTIVE: The aim of this study is to map the current information resources and the use of pregnancy apps among pregnant women in Flanders. METHODS: A cross-sectional study was conducted, using a semistructured survey (April-June 2019) consisting of four different domains: (1) demographics; (2) use of devices; (3) sources of information; and (4) use of pregnancy apps. Women were recruited by social media, flyers, and paper questionnaires at prenatal consultations. Statistical analysis was mainly focused on descriptive statistics. Differences in continuous and categorical variables were tested using independent Student t tests and chi-square tests. Correlations were investigated between maternal characteristics and the women's responses. RESULTS: In total, 311 women completed the entire questionnaire. Obstetricians were the primary source of information (268/311, 86.2%) for pregnant women, followed by websites/internet (267/311, 85.9%) and apps (233/311, 74.9%). The information that was most searched for was information about the development of the baby (275/311, 88.5%), discomfort/complaints (251/311, 80.7%) and health during pregnancy (248/311, 79.7%), administrative/practical issues (233/311, 74.9%), and breastfeeding (176/311, 56.6%). About half of the women (172/311, 55.3%) downloaded a pregnancy app, and primarily searched app stores (133/311, 43.0%). Pregnant women who are single asked their mothers (22/30, 73.3%) or other family members (13/30, 43.3%) for significantly more information than did married women (mother [in law]: 82/160, 51.3%, P=.02; family members: 35/160, 21.9%, P=.01). Pregnant women with lower education were significantly more likely to have a PC or laptop than those with higher education (72/73, 98.6% vs 203/237, 85.5%; P=.008), and to consult other family members for pregnancy information (30/73, 41.1% vs 55/237, 23.1%; P<.001), but were less likely to consult a gynecologist (70/73, 95.9% vs 198/237, 83.5%; P=.001). They also followed more prenatal sessions (59/73, 80.8% vs 77/237, 32.5%; P=.04) and were more likely to search for information regarding discomfort/complaints during pregnancy (65/73, 89% vs 188/237, 79.5%; P=.02). Compared to multigravida, primigravida were more likely to solicit advice about their pregnancy from other women in their social networks (family members: primigravida 44/109, 40.4% vs multigravida 40/199, 20.1%; P<.001; other pregnant women: primigravida 58/109, 53.2% vs multigravida 80/199, 40.2%; P<.03). CONCLUSIONS: Health care professionals need to be aware that apps are important and are a growing source of information for pregnant women. Concerns rise about the quality and safety of those apps, as only a limited number of apps are subjected to an external quality check. Therefore, it is important that health care providers refer to high-quality digital resources and take the opportunity to discuss digital information with pregnant women.