Evidence map›Paper›PMID 29609599›Full record

ArticleHuman resources for health2018

Time motion study using mixed methods to assess service delivery by frontline health workers from South India: methods.

Samiksha Singh, Sanjeev Upadhyaya, Pradeep Deshmukh, Amol Dongre, Neha Dwivedi, Deepak Dey, Vijay Kumar

Open access · goldAbstract read
In one paragraph

Article in Human resources for health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  18. Implementation of Population-based Cancer Screening Program in a Pilot Study from India: Views from Health Personnel.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 1 country.

Samiksha SinghIndian Institute of Public Health-Hyderabad, Public Health Foundation of India, Plot #1, Amar co-op society, Kavuri Hills, Madhapur, Hyderabad, 500033, India. samiksha.singh@iiphh.org.ORCID 0000-0001-9441-0657
Sanjeev UpadhyayaUNICEF Hyderabad Field Office, Hyderabad, India.
Pradeep DeshmukhMahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, India.
Amol DongreDepartment of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital, Pondicherry, India.
Neha DwivediCommissioner Office of Health and Family Welfare, Government of Telangana, Hyderabad, India.
Deepak DeyUNICEF Hyderabad Field Office, Hyderabad, India.
Vijay KumarCentre for Economic and Social Studies (CESS), Hyderabad, India.
United Nations Children's Fund India · INCentre for Economic and Social Studies · INGovernment of Andhra Pradesh · INInstitute of Public Health Bengaluru · INMahatma Gandhi Institute of Medical Sciences · INSri Manakula Vinayagar Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn India, amidst the increasing number of health programmes, there are concerns about the performance of frontline health workers (FLHW). We assessed the time utilisation and factors affecting the work of frontline health workers from South India.

methodsThis is a mixed methods study using time and motion (TAM) direct observations and qualitative enquiry among frontline/community health workers. These included 43 female and 6 male multipurpose health workers (namely, auxiliary nurse midwives (ANMs) and male-MPHWs), 12 nutrition and health workers (Anganwadi workers, AWWs) and 53 incentive-based community health workers (accredited social health activists, ASHAs). We conducted the study in two phases. In the formative phase, we conducted an in-depth inductive investigation to develop observation checklists and qualitative tools. The main study involved deductive approach for TAM observations. This enabled us to observe a larger sample to capture variations across non-tribal and tribal regions and different health cadres. For the main study, we developed GPRS-enabled android-based application to precisely record time, multi-tasking and field movement. We conducted non-participatory direct observations (home to home) for consecutively 6 days for each participant. We conducted in-depth interviews with all the participants and 33 of their supervisors and relevant officials. We conducted six focus group discussions (FGDs) with ASHAs and one FGD with ANMs to validate preliminary findings. We established a mechanism for quality assurance of data collection and analysis. We analysed the data separately for each cadre and stratified for non-tribal and tribal regions.

resultsOn any working day, the ANMs spent median 7:04 h, male-MPHWs spent median 5:44 h and AWWs spent median 6:50 h on the job. The time spent on the job was less among the FLHWs from tribal areas as compared to those from non-tribal areas. ANMs and AWWs prioritised maternal and child health, while male-MPHWs were involved in seasonal diseases and school health. ASHAs visited homes to provide maternal health, basic curative care, and follow-up of tuberculosis patients. The results describe issues related with work planning, time management and several systemic, community-based and personnel factors affecting work of FLHWs.

conclusionTAM study with mixed methods can help researchers as well as managers to periodically review work patterns, devise appropriate job responsibilities and improve the efficiency of health workers.

Indexed as

Community Health WorkersDelivery of Health CareHealth WorkforceFemaleFocus GroupsHumansIndiaMaleMaternal HealthMidwiferyPregnancyPublic HealthQualitative ResearchRural Health Services

Identifiers

PMID29609599
PMCPMC5879838
OpenAlexW2797160374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.