Availability and quality of publicly available health workforce data sources in Australia: a scoping review protocol

IntroductionThe health workforce is an integral component of the healthcare system. Comprehensive, high-quality data on the health workforce are essential to identifying gaps in health service provision, as well as informing future health workforce and health services planning, and health policy. While many data sources are used in Australia for these purposes, the quality of the data sources with respect to relevance, accessibility and accuracy is not clear.Methods and analysisThis scoping review aims to identify and appraise publicly available data sources describing the Australian health workforce. The review will include any data source (eg, registry, administrative database and survey) or document reporting a data source (eg, journal article, report) on the Australian health workforce, which is publicly available and describes the characteristics of the workforce. The search will be conducted in 10 bibliographic databases and the grey literature using an iterative process. Screening of titles and abstracts will be undertaken by two investigators, independently, using Covidence software. Any disagreement between investigators will be resolved by a third investigator. Documents/data sources identified as potentially eligible will be retrieved in full text and reviewed following the same process. Data will be extracted using a customised data extraction tool. A customised appraisal tool will be used to assess the relevance, accessibility and accuracy of included data sources.Ethics and disseminationThe scoping review is a secondary analysis of existing, publicly available data sources and does not require ethics approval. The findings of this scoping review will further our understanding of the quality and availability of data sources used for health workforce and health services planning in Australia. The results will be submitted for publication in peer-reviewed journals and presented at conferences targeted at health workforce and public health topics.

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Patient experience surveys for children’s community health services: A scoping review

Journal of Child Health Care ◽

10.1177/13674935211005874 ◽

2021 ◽

pp. 136749352110058

Author(s):

Helen J Nelson ◽

Catherine Pienaar ◽

Anne M Williams ◽

Ailsa Munns ◽

Katie McKenzie ◽

...

Keyword(s):

Health Care ◽

Health Services ◽

Community Health ◽

Patient Experience ◽

Scoping Review ◽

Emotional Support ◽

Community Health Services ◽

Experience Of Care ◽

Healthcare Experience

Patient experience surveys have a user focus and measure the quality of person-centered health care for hospital inpatients and consumers of community health services, providing a governance process to evaluate the quality of care and to action improvement. Experience of care has been described as effective communication, respect and dignity, and emotional support. Measurement criteria for these domains are not standardized, leading to inconsistent reporting of patient experience. The objective of this scoping review was to synthesize evidence for measuring experience of care in children’s community health services using the Joanna Briggs Institute framework for scoping review method. Three parent-reported surveys met the inclusion criteria, and 50 survey items were assessed by expert reviewers for fit to domains of healthcare experience. Conceptual domains of parent experience in children’s community health services included respect and dignity, effective communication, and emotional support. A gap was identified, in that few items in identified surveys measured emotional support. This contribution will promote consistent reporting of healthcare experience, informing policy and practice for person-centered health care.

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Perancangan Data Warehouse Rumah Sakit Berbasis Online Analytical Processing (OLAP)

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2021854232 ◽

2021 ◽

Vol 8 (5) ◽

pp. 1077

Author(s):

Joko Purwanto ◽

Renny Renny

Keyword(s):

Information Technology ◽

Health Services ◽

Data Warehouse ◽

Data Extraction ◽

Online Analytical Processing ◽

Data Source ◽

Analytical Processing ◽

Quality Of Health Services ◽

Warehouse Design

Pemanfaatan teknologi informasi sangat penting bagi rumah sakit, karena berpengaruh pula terhadap kualitas pelayanan kesehatan yang secara manual diubah menjadi digital dengan menggunakan teknologi informasi.Dalam penelitian ini penulis menggunakan metodologi Nine step sebagai acuan dalam merancang suatu data warehouse, untuk pemodelan menggunakan skema konstelasi fakta dengan 3 tabel fakta dan 11 tabel dimensi. Perbedaan penelitian ini dengan penelitian sebelumnya terletak pada sumber data yang diekstrak langsung dari database SIMRS yang digunakan rumah sakit, sehingga tidak ada ekstraksi data secara manual.Penelitian ini bertujuan untuk menghasilkan desain data warehouse berbasis Online Analytical Processing (OLAP) sebagai sarana penunjang kualitas pelayanan kesehatan rumah sakit. OLAP yang dihasilkan akan berupa desain data warehouse dengan berbagai dimensi yang akan menghasilkan tampilan informasi berupa Chart maupun Grafik sehingga informasinya mudah dibaca dan dipahami oleh berbagai pihak. AbtractThe use of information technology is very important for hospitals, because it also affects the quality of health services, which manualy changed to digital using information technology. In this study, the authors used the Nine step methodology as a reference in designing a data warehouse for modeling using a fact constellation schema with 3 fact tables and 11 dimension tables. the different in this study from previous research is that the data source was taken directly from the SIMRS database used by the hospital, so there is no manual data extraction.The aim of this research is to be able to produce a Data Warehouse design based on Online Analytical Processing (OLAP) as a means of supporting the quality of hospital health services. The resulting OLAP will be a data warehouse design with various dimensions will produce the displays information in the form of a graph or chart so that the information is easy to read and understand by various parties.

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Analysis and Design of Data Warehouse on Academic STMIK STIKOM Bali

International Journal of Engineering and Emerging Technology ◽

10.24843/ijeet.2017.v02.i01.p08 ◽

2017 ◽

Vol 2 (1) ◽

pp. 35

Author(s):

Komang Budiarta ◽

Putu Agung Ananta Wijaya ◽

Cokorde Gede Indra Partha

Keyword(s):

Decision Making ◽

Data Warehouse ◽

Evaluation Process ◽

Process Data ◽

Study Program ◽

Analysis And Design ◽

Self Evaluation ◽

Data Source ◽

System Information

College accreditation by BAN-PT is one of the parameters in determining the quality of universities in Indonesia. As consideration to achieve the standard from BAN-PT, so they have an evaluation process itself in study program or college to be meet the standard universities when set by the BAN-PT. In carrying out the process of self evaluation, required data source that is used as the basis in assessing on a criteria. In most of the study program, all data spread on the system information and physical document that different, that is require more time and effort to integrate up to interpret. Data warehouse fight important in collecting data that spread and become an information. The process data warehouse with ETL used to integrate, extract, clean, transforming and reload into the data warehouse. With the existence of the data warehouse on Academic STIMIK STIKOM Bali can make it easier for executives to get the information to support the standard accreditation standart three and can be used as a reference in decision making.

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Facilitating knowledge exchange between health-care sectors, organisations and professions: a longitudinal mixed-methods study of boundary-spanning processes and their impact on health-care quality

Health Services and Delivery Research ◽

10.3310/hsdr01070 ◽

2013 ◽

Vol 1 (7) ◽

pp. 1-170 ◽

Cited By ~ 2

Author(s):

L Nasir ◽

G Robert ◽

M Fischer ◽

I Norman ◽

T Murrells ◽

...

Keyword(s):

Health Care ◽

Quality Of Care ◽

Mixed Methods ◽

Health Services ◽

Knowledge Exchange ◽

Boundary Spanning ◽

Data Sources ◽

Integration Of Services ◽

General Practices

BackgroundRelatively little is known about how people and groups who function in boundary-spanning positions between different sectors, organisations and professions contribute to improved quality of health care and clinical outcomes.ObjectivesTo explore whether or not boundary-spanning processes stimulate the creation and exchange of knowledge between sectors, organisations and professions and whether or not this leads, through better integration of services, to improvements in the quality of care.DesignA 2-year longitudinal nested case study design using mixed methods.SettingAn inner-city area in England (‘Coxford’) comprising 26 general practices in ‘Westpark’ and a comparative sample of 57 practices.ParticipantsHealth-care and non-health-care practitioners representing the range of staff participating in the Westpark Initiative (WI) and patients.InterventionsThe WI sought to improve services through facilitating knowledge exchange and collaboration between general practitioners, community services, voluntary groups and acute specialists during the period late 2009 to early 2012. We investigated the impact of the four WI boundary-spanning teams on services and the processes through which they produced their effects.Main outcome measures(1) Quality-of-care indicators during the period 2008–11; (2) diabetes admissions data from April 2006 to December 2011, adjusted for deprivation scores; and (3) referrals to psychological therapies from January 2010 to March 2012.Data sourcesData sources included 42 semistructured staff interviews, 361 hours of non-participant observation, 36 online diaries, 103 respondents to a staff survey, two patient focus groups and a secondary analyses of local and national data sets.ResultsThe four teams varied in their ability to, first, exchange knowledge across boundaries and, second, implement changes to improve the integration of services. The study setting experienced conditions of flux and uncertainty in which known horizontal and vertical structures underwent considerable change and the WI did not run its course as originally planned. Although knowledge exchanges did occur across sectoral, organisational and professional boundaries, in the case of child and family health services, early efforts to improve the integration of services were not sustained. In the case of dementia, team leadership and membership were undermined by external reorganisations. The anxiety and depression in black and minority ethnic populations team succeeded in reaching its self-defined goal of increasing referrals from Westpark practices to the local well-being service. From October to December 2010 onwards, referrals have been generally higher in the six practices with a link worker than in those without, but the performance of Westpark and Coxford practices did not differ significantly on three national quality indicators. General practices in a WI diabetes ‘cluster’ performed better on three of 17 Quality and Outcomes Framework (QOF) indicators than practices in the remainder of Westpark and in the wider Coxford primary care trust. Surprisingly, practices in Westpark, but not in the diabetes cluster, performed better on one indicator. No statistically significant differences were found on the remaining 13 QOF indicators. The time profiles differed significantly between the three groups for elective and emergency admissions and bed-days.ConclusionsBoundary spanning is a potential solution to the challenge of integrating health-care services and we explored how such processes perform in an ‘extreme case’ context of uncertainty. Although the WI may have been a necessary intervention to enable knowledge exchange across a range of boundaries, it was not alone sufficient. Even in the face of substantial challenges, one of the four teams was able to adapt and build resilience. Implications for future boundary-spanning interventions are identified. Future research should evaluate the direct, measurable and sustained impact of boundary-spanning processes on patient care outcomes (and experiences), as well as further empirically based critiques and reconceptualisations of the socialisation → externalisation → combination → internalisation (SECI) model, so that the implications can be translated into practical ideas developed in partnership with NHS managers.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

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Demographic determinants of perception and usage of mobile health services in Australia (Preprint)

10.2196/preprints.16394 ◽

2019 ◽

Author(s):

Majharul Talukder ◽

Seyed Sheriffdeen ◽

Md Irfanuzzaman Khan ◽

Ali Quazi ◽

ABM Abdullah

Keyword(s):

Health Services ◽

Technology Acceptance ◽

Mobile Health ◽

Health Care Services ◽

Willingness To Accept ◽

Australian Health ◽

Care Services ◽

Government Initiative ◽

F Statistics

BACKGROUND Mobile health services (mHealth) is an Australian government initiative aiming to improve the quality of health care services. However, little is known about Australian health consumers’ willingness to accept and use mobile health services (mHealth). OBJECTIVE While various factors may impact on users’ willingness to accept mHealth, this research investigates whether users’ demographics have any impact on the implementation of mHealth which has been rarely addressed in an Australian setting in the past METHODS The theoretical framework of this research is firmly rooted in extant technology acceptance frameworks. Data was collected using a survey questionnaire from the residents of the Australian Capital Territory and analyzed using multivariate data analysis techniques. RESULTS The results indicate that the proposed research model explains 13% of the variance in implementation and its associated F statistics indicated that it was significant at the P <.001 level. Findings show that physical progression (P < .001) and intellectual progression (P= 0.05) of users do influence individuals’ attitudes towards mHealth. However, financial capability (P =.175) has no relationship with attitude but has a direct relationship with MHS usage (P= .02). CONCLUSIONS These findings relating to users’ demographics on the attitudes and usage of MHS have both practical and theoretical implications which are highlighted in this paper.

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A Data Quality Control Program for Computer-Assisted Personal Interviews

Nursing Research and Practice ◽

10.1155/2012/303816 ◽

2012 ◽

Vol 2012 ◽

pp. 1-8 ◽

Cited By ~ 9

Author(s):

Janet E. Squires ◽

Alison M. Hutchinson ◽

Anne-Marie Bostrom ◽

Kelly Deis ◽

Peter G. Norton ◽

...

Keyword(s):

Quality Control ◽

Data Quality ◽

Control Program ◽

Quality Data ◽

Computer Assisted ◽

Data Quality Control ◽

Process Data ◽

Quality Control Program ◽

High Quality Data

Researchers strive to optimize data quality in order to ensure that study findings are valid and reliable. In this paper, we describe a data quality control program designed to maximize quality of survey data collected using computer-assisted personal interviews. The quality control program comprised three phases: (1) software development, (2) an interviewer quality control protocol, and (3) a data cleaning and processing protocol. To illustrate the value of the program, we assess its use in the Translating Research in Elder Care Study. We utilize data collected annually for two years from computer-assisted personal interviews with 3004 healthcare aides. Data quality was assessed using both survey and process data. Missing data and data errors were minimal. Mean and median values and standard deviations were within acceptable limits. Process data indicated that in only 3.4% and 4.0% of cases was the interviewer unable to conduct interviews in accordance with the details of the program. Interviewers’ perceptions of interview quality also significantly improved between Years 1 and 2. While this data quality control program was demanding in terms of time and resources, we found that the benefits clearly outweighed the effort required to achieve high-quality data.

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Planning the Future Oral Health Workforce: A Rapid Review of Supply, Demand and Need Models, Data Sources and Skill Mix Considerations

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18062891 ◽

2021 ◽

Vol 18 (6) ◽

pp. 2891

Author(s):

Madhan Balasubramanian ◽

Aliya Hasan ◽

Suruchi Ganbavale ◽

Anfal Alolayah ◽

Jennifer Gallagher

Keyword(s):

Oral Health ◽

Health Workforce ◽

Workforce Planning ◽

Data Sources ◽

Rapid Review ◽

Quality Data ◽

Health Workforce Planning ◽

Skill Mix ◽

Planning Models ◽

The Future

Over the last decade, there has been a renewed interest in oral health workforce planning. The purpose of this review is to examine oral health workforce planning models on supply, demand and needs, mainly in respect to their data sources, modelling technique and use of skill mix. A limited search was carried out on PubMed and Web of Science for published scientific articles on oral health workforce planning models between 2010 to 2020. No restrictions were placed on the type of modelling philosophy, and all studies including supply, demand or needs based models were included. Rapid review methods guided the review process. Twenty-three studies from 15 countries were included in the review. A majority were from high-income countries (n = 17). Dentists were the sole oral health workforce group modelled in 13 studies; only five studies included skill mix (allied dental personnel) considerations. The most common application of modelling was a workforce to population ratio or a needs-based demand weighted variant. Nearly all studies presented weaknesses in modelling process due to the limitations in data sources and/or non-availability of the necessary data to inform oral health workforce planning. Skill mix considerations in planning models were also limited to horizontal integration within oral health professionals. Planning for the future oral health workforce is heavily reliant on quality data being available for supply, demand and needs models. Integrated methodologies that expand skill mix considerations and account for uncertainty are essential for future planning exercises.

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Identification of publicly available data sources to inform the conduct of Health Technology Assessment in India

F1000Research ◽

10.12688/f1000research.14041.1 ◽

2018 ◽

Vol 7 ◽

pp. 245 ◽

Cited By ~ 7

Author(s):

Laura Downey ◽

Neethi Rao ◽

Lorna Guinness ◽

Miqdad Asaria ◽

Shankar Prinja ◽

...

Keyword(s):

Quality Of Life ◽

Health Technology Assessment ◽

Technology Assessment ◽

Service Use ◽

Health Technology ◽

Health Data ◽

Data Sources ◽

Quality Data ◽

Epidemiological Information

Background: Health technology assessment (HTA) provides a globally-accepted and structured approach to synthesising evidence for cost and clinical effectiveness alongside ethical and equity considerations to inform evidence-based priorities. India is one of the most recent countries to formally commit to institutionalising HTA as an integral component of the heath resource allocation decision-making process. The effective conduct of HTA depends on the availability of reliable data. Methods: We draw from our experience of collecting, synthesizing, and analysing health-related datasets in India and internationally, to highlight the complex requirements for undertaking HTA, and explore the availability of such data in India. We first outlined each of the core data components required for the conduct of HTA, and their availability in India, drawing attention to where data can be accessed, and different ways in which researchers can overcome the challenges of missing or low quality data. Results: We grouped data into the following categories: clinical efficacy; cost; epidemiology; quality of life; service use/consumption; and equity. We identified numerous large local data sources containing epidemiological information. There was a marked absence of other locally-collected data necessary for informing HTA, particularly data relating to cost, service use, and quality of life. Conclusions: The introduction of HTA into the health policy space in India provides an opportunity to comprehensively assess the availability and quality of health data capture across the country. While epidemiological information is routinely collected across India, other data inputs necessary for HTA are not readily available. This poses a significant bottleneck to the efficient generation and deployment of HTA into the health decision space. Overcoming these data gaps by strengthening the routine collection of comprehensive and verifiable health data will have important implications not only for embedding economic analyses into the priority setting process, but for strengthening the health system as a whole.

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PROGRAM JAMINAN KESEHATAN NASIONAL DARI ASPEK SUMBER DAYA MANUSIA PELAKSANA PELAYANAN KESEHATAN

Jurnal Kesehatan Masyarakat ◽

10.15294/kemas.v11i1.3462 ◽

2015 ◽

Vol 11 (1) ◽

pp. 32

Author(s):

Maman Saputra ◽

Lenie Marlinae ◽

Fauzie Rahman ◽

Dian Rosadi

Keyword(s):

Health Insurance ◽

Health Services ◽

Human Resources ◽

Health Center ◽

Health Workforce ◽

Evaluation Process ◽

Organizational Governance ◽

Work List ◽

Sequential Explanatory

Jaminan kesehatan nasional (JKN) mulai beroperasi sejak 1 Januari 2014. Pelaksanaan jaminan kesehatan di Kabupaten Tabalong, masih mengalami beberapa permasalahan seperti SDM pelaksana pelayanan kesehatan yang masih belum mencukupi baik dari segi kuantitas, distribusi dan kualitas. Penelitian ini bertujuan untuk melakukan evaluasi program JKN dari aspek SDM pelaksana pelayanan kesehatan di Kabupaten Tabalong periode Januari-Juni 2014. Penelitian ini menggunakan mix method dengan desain urutan pembuktian sequential explanatory. Subjek penelitian berasal dari Dinas Kesehatan Kabupaten Tabalong, RSUD H. Badaruddin, Puskesmas Kelua dan BPJS Kesehatan. Hasil evaluasi konteks, informan memahami mengenai batasan JKN, roadmap dan hambatan program. Hasil evaluasi input SDM pelaksana pelayanan kesehatan, kuantitas masih mengalami kekurangan 136 orang. Distribusi di Puskesmas Kelua sudah sesuai dengan standar ketenagaan di puskesmas tetapi kuantitasnya masih belum sesuai standar rasio per 100.000 jumlah penduduk. Distribusi di RSUD H. Badaruddin berdasarkan standar ketenagaan kesehatan di rumah sakit sudah sesuai, kecuali untuk dokter spesialis. Penilaian kualitas SDM di Puskesmas Kelua belum menggunakan standar Kepmenkes Nomor 857 Tahun 2009. Sedangkan di RSUD H. Badaruddin masih menggunakan penilaian Daftar Penilaian Pelaksanaan Pekerjaan (DP3). Hasil evaluasi proses, kuantitas sudah meningkat tetapi masih mengalami kekurangan 82 orang. Distribusi di Puskesmas Kelua tidak ada perubahan. Distribusi di RSUD H. Badaruddin mengalami penambahan tenaga keperawatan. Penilaian kualitas SDM di Puskesmas Kelua tidak ada perubahan. Penilaian SDM di RSUD H. Badaruddin menggunakan Penilaian Prestasi Kerja Pegawai (PKP). Evaluasi output menunjukkan belum ada perubahan kuantitas, distribusi dan kualitas dari hasil evaluasi proses. Pelaksanaan JKN di Kabupaten Tabalong sudah berjalan, baik dari aspek peraturan perundangan, kepesertaan, pelayanan kesehatan, keuangan dan tata kelola organisasi. Ada beberapa hambatan seperti peraturan daerah masih kurang dan kurangnya jumlah SDM pelaksana pelayanan kesehatan. Oleh karena itu, perlu adanya upaya penambahan kuantitas dan pemerataan distribusi SDM pelaksana pelayanan kesehatan oleh Pemerintah Daerah dan upaya memaksimalkan jumlah dan kualitas SDM pelaksana pelayanan kesehatan yang tersedia. National health insurance (JKN) started operating on January 1, 2014. The implementation of health insurance in Tabalong, still have some problems such as health services workforce are still not enough in terms of quantity, distribution and quality. This study aims to evaluate the JKN program of health services workforce aspects in Tabalong period January to June 2014. This study used a mixed method design with sequential explanatory. Study subjects were from the Department of Health Tabalong, H. Badaruddin Hospital, Kelua Health Center and BPJS Health. The results of the evaluation context, informants understand the JKN restrictions, roadmap and program obstacles. The results of the evaluation of health services workforce inputs, the quantity is still deficient 136 people. Distribution in Kelua Health Center is appropriate with the standard for personnel in health centers but the quantity is still not appropriate with the ratio per 100,000 of population standard. Distribution in H. Badaruddin hospital based health workforce standards in hospitals is appropriate, except to specialists. Assessment of the quality of human resources in Kelua Health Center not using Kepmenkes No. 857 of 2009 standard. While in H. Badaruddin hospital still use assessment Implementation Assessment Work List (DP3). The results of the evaluation process, the quantity has increased but is still deficient 82 people. Distribution in Kelua Health Center no change. Distribution in H. Badaruddin hospital have additional for nursing staff. Assessment of the quality of human resources in the Kelua Health Center no change. Assessment of human resources in H. Badaruddin hospital using Employee Job Performance Assessment (PKP). Evaluation of the output shows no change in the quantity, distribution and quality of the results of the evaluation process. Implementation JKN in Tabalong already running, both from the aspect of legislation, participation, health care, financial and organizational governance. There are several obstacles such as local regulation are still lacking and the lack of workforce for the services of health. Therefore, efforts are needed to increase the quantity and distribution of health workforce by local government and maximizing the amount and quality of available health workforce.

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The Australian health workforce:facts and futures

Australian Health Review ◽

10.1071/ah000060 ◽

2000 ◽

Vol 23 (4) ◽

pp. 60 ◽

Cited By ~ 12

Author(s):

Stephen Duckett

Keyword(s):

Quality Of Care ◽

Health Workforce ◽

Health Professionals ◽

Health Workers ◽

Technical Skills ◽

Health Costs ◽

Policy Issues ◽

Australian Health ◽

Care Services

The quality of care received by a patient or consumer critically depends on the knowledge, skills and attitudes of thehealth workforce; the structure and functioning of the health workforce is critical to the structure and functioning ofthe health system overall. To a very large extent, diagnosis and treatment decisions call on the training and experienceof the health professional. The quality of the interaction between a patient or consumer depends on the interpersonaland technical skills of health professionals. In a sense, health workers are important to defining the very nature ofhealth care services. The importance of the health workforce is further highlighted by the fact that, as is typical of mostservice industries, labour accounts for a large proportion of health costs (around 80%).This paper provides an overview of the size and composition of the health workforce in Australia. It then reviewsthree segments of the workforce in more detail (medical, nursing and other health professionals) and reviewscontemporary policy issues affecting those groups.

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