Final Needs Assessment

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FinalNeeds Assessment

Assessment Type

Collected Data



Environmental scan

Qualitative and quantitative data

The objective of the assessment is to identify prescribed, un-prescribed, and normative needs.

The benefit of the data is to advance the policy and procedure of chronic care DM conditions.


Quantitative data

The objective is to identify expressed and perceived needs among patient suffering from chronic health complications.

The data can support the use of modern technology in dealing with emerging chronic problems.

Focus group

Qualitative data

The objective is to examine and evaluate the existing policies and procedures to understand areas that require improvement.

The benefit of the assessment is to identify effective means to modify the existing procedures and policies.

Standardized patients

Quantitative and qualitative data

The objective is to identify prescribed and normative needs

The benefit is to understand benefits of new electronic health care charting for patients with chronic care condition type 2 DM.

Chart-stimulated recall

Quantitative and qualitative data

The goal is to understand unperceived and prescribed needs.

The notable benefit is to identify challenges in the current means of managing chronic health complications.


Qualitative data

The goal is to identify expressed and perceived needs

The benefit is to improve the quality of healthcare services offered to patients suffering from chronic complications

Chart audits

Qualitative and quantitative data

The goal is to identify benefits of modern technology in the management of chronic health complications.

The benefit is to understand common treatment mistakes.


Nursesaffirmed that the improvement of the procedures and policies formanaging chronic care DM conditions would increase the effectivenessof patients’ care by avoiding redundancy of work. Theimplementation of the new sets of follow-up guidelines will alsoreduce frustrations and pain among patients suffering from chroniccomplications. The adoption of new electronic health care chartingfor patients with chronic care condition type 2 DM can alsofacilitate the storage and quick retrieval of patients’ data.Therefore, the innovation will have immediate and long-term benefitson patients’ health and the quality of services offered in themodern facilities (Lindgren,Storli, &amp Wiklund-Gustin, 2014).

Reliabilityand Validity

Theassessment of the validity of the qualitative data helps to examinethe appropriateness of data, process, and tools used in the datacollection methods. Ideally, the choice of the research methodologyhas a notable impact in defining the validity of the collected data.The research methodology also helps to identify the sampling and thedata analysis processes. Researchers also examine the epistemologyand ontology of the research issues to understand the validity ofqualitative data (Heale,&amp Twycross, 2015).

Theassessment of the reliability of the qualitative research datainvolves the examination of the explicability of the researchprocedure and results. Therefore, researchers examine the consistencyof the research results to understand its reliability. Some of thecommon approaches used to examine the reliability of the researchdata include constant data comparison, reputational analysis, andcomprehensive data analysis (Williams, Price, Hardinge, Tarassenko, &ampFarmer, 2015).


Healthprofessionals measure the trustworthiness of a qualitative data byexamining their credibility. Credibility defines the trustworthinessof a qualitative data by examining significant attributes such as thelengthy of the engagement, triangulation, member checks, referentialadequacies, persistent observations, and peer debriefing. The processalso involves asking similar questions to different people usingvarying approaches and methods. Transferability also helps in theidentification of the trustworthiness of qualitative data.Transferability includes the generalization and comparison of studyfindings with the existing data. Besides, purposive sampling helps todefine the transferability of the collected information. In mostinstances, researchers are required to gather research informationfrom a sizeable sample to avoid biases (Dye,Schatz, Rosenberg, &amp Coleman, 2015).


Dye,J.G, Schatz, I. M., Rosenberg, B. A., &amp Coleman, S. T. (2015).Constant comparison method: A kaleidoscope of data. TheQualitative Report,4(2), 21-56

Heale,R., &amp Twycross, A. (2015). Validity and reliability inquantitative studies. Evidence Based Nursing,18(3),66-67.

Lindgren,S., Storli, S. L., &amp Wiklund-Gustin, L. (2014). Living innegotiation: patients’ experiences of being in the diagnosticprocess of COPD. Internationaljournal of chronic obstructive pulmonary disease,9,(1), 441-451

WilliamsV, Price J, Hardinge M, Tarassenko L,&amp Farmer A. (2015). Using amobile health application to support self-management in COPD: Aqualitative study. Diabetes research and clinical practice,98(1), 5-10