¶ … Outpatient Transition Clinics: A Mixed-Methods Study Protocol
This a mixed method study with a controlled and retrospective design that involves interviews that are semi structured among healthcare experts, consultation observation focused on young people, and transferred between 2 to 4 years before the date of collecting data. Questionnaires among the youth are incorporated in the interviews (Sattoe, Peeters, Hilberink, Ista, & Staa, 2016).
Patient experiences of decentralized acute healthcare services
The study was qualitative. Data analysis was done through done through thematic analysis (Leonardsen, et al., 2016).
Study on the impact of patient satisfaction on a rural hospital
A qualitative method was applied to analyze historical patient contentment surveys and the accompanying revenue collection statements from a hospital in a rural area in the North Eastern part of Oklahoma for a period stretching 25 months (Jacobs, 2011).
Discuss the types of statistical tests used within each article and why they have been chosen.
Evaluating outpatient transition clinics: a mixed-methods study protocol
The first differences on healthcare usage and clinical outcomes among groups were examined over the four moments of measurement with ANOVA tests. Then interventions were done on control groups and intervention on outcomes of clinical aspects, use of healthcare, outcomes of self-management, satisfaction with movement to adult healthcare, perceived healthcare quality and experiences and satisfaction. Sample t-tests and x2 were used to make the comparisons. The analyses provided the answers required on research question number three and four. Research question 5 was anchored on successful criteria transition (Suris & Akre, 2015). Still, there were comparisons made between control and intervention clusters using X2 tests. Diagnostic group data from the 2 groups was analyzed. All data was compiled for all but the clinical results. There were quantitative analyses done using IBM SPSS 21.0(Sattoe, Peeters, Hilberink, Ista, & Staa, 2016)
The interviews were recorded and verbally transcribed. They were transformed into Atlas ti.7.0. Observation accounts and interview transcriptions were coded by two independent researchers. Te interview topic lists supplied the themes. Some subthemes were derived from data. Contents of intervention, structure and working day details over a period of time were used to provide the details. Experience of healthcare professionals in transitional care was also examined. The analyses therefore presented answers to the initial two research questions (Sattoe, Peeters, Hilberink, Ista, & Staa, 2016).
Patient experiences of decentralized...
The process of analysis constituted the stages of identification, analysis, and pattern reporting of the themes included in the data. The transcripts were coded in Norwegian to limit subjective interpretations (ACLL, LPJJ). The primary aspects of the raw data that had meaning regarding the research were also coded. We decided to code as many potential patterns/ themes to guard all info against loss. There was a
comparison of the codes in discussions and debates until the research teams reached a consensus (ACLL, LPJJ). There was
discussion on the themes, codes and the final report until there was consensus by the authors (ACLL, LPJJ, LDB and VAG) (Leonardsen, et al., 2016) the study was inspired by the Helsinki declaration and
informed consent that was written.
Study on the impact of patient satisfaction on a rural hospital
Data analysis was done by Pearson and Correlations which used the assumption that there were two variables measured on interval scales. The
correlation determines the level of correlation of two variables. A correlation coefficient doesn't depend on a given measurement units applied. The correlation is termed high if it can be summed using a straight line; with an upward or downward slope. The line is referred as to the regression line because it is derived in a way that ensures that the sum of the square distance of all data points from such a line is at its minimum (Jacobs, 2011).
.Explain the difference between parametric and nonparametric tests and what types are applied in the article's study
A parametric test in
statistics is one which outlines certain specified conditions about the parameters of the groups from which the drawing of the research sample was done. The conditions outlined include that such observations need to be independent. Such observations need to be drawn from a
population that is distributed normally. The populations need to manifest similar variables and variables which should have been measured in an interval scale (Abdulazeez, 2014).
Nonparametric statistics describe an attribute of a population, the relationship with other attributes, and
hypothesis about the attribute, square interval measurement, relationship with other attributes and the type of population data spread over time or across constructs that are related. These do not need making any
assumptions on the form of the distribution of population data. They do not require interval level measurement either. In the views of Robson (1994) only nominal or…
